@article {pmid35754095,
year = {2022},
author = {Balfour, NJ and Castellanos, MC and Goulson, D and Philippides, A and Johnson, C},
title = {DoPI: The Database of Pollinator Interactions.},
journal = {Ecology},
volume = {},
number = {},
pages = {e3801},
doi = {10.1002/ecy.3801},
pmid = {35754095},
issn = {1939-9170},
abstract = {Despite the importance of pollinating insects to natural environments and agriculture, there have been few attempts to unite the existing plant-pollinator interaction datasets into a single depository using a common format. Accordingly, we have created one of the world's first online, open-access, and searchable pollinator-plant interaction databases. DoPI (The Database of Pollinator Interactions) was built from a systematic review of the scientific literature and unpublished datasets requested from researchers and organisations. We collated records of interactions between British plant and insect flower-visitor species (or genera), together with associated metadata (date, location, habitat, source publication) where available. The dataset currently (December 2021) contains 101,539 records, detailing over 320,000 interactions. The number of interactions (i.e. the number of times a pairwise species interaction was recorded per occasion) varies considerably among records, averaging 3.6. These include records from 1,888 pollinator species and 1,241 plant species, totalling >17,000 pairwise species interactions. By combining a large volume of information in a single repository, DoPI can be used to answer fundamental ecological questions on the dynamics of pollination interactions in space and time, as well as applied questions in conservation practice. We hope this dynamic database will be a useful tool not only for researchers, but also for conservationists, funding agencies, governmental departments, beekeepers, agronomists and gardeners. We request that this paper is cited when using the data in publications and individual studies where appropriate. Researchers and organisations are encouraged to add further data in the future. The database can be accessed at: https://www.dopi.org.uk/.},
}

@article {pmid35707452,
year = {2021},
author = {Werbin, ZR and Hackos, B and Lopez-Nava, J and Dietze, MC and Bhatnagar, JM},
title = {The National Ecological Observatory Network's soil metagenomes: assembly and basic analysis.},
journal = {F1000Research},
volume = {10},
number = {},
pages = {299},
doi = {10.12688/f1000research.51494.2},
pmid = {35707452},
issn = {2046-1402},
mesh = {Computational Biology/methods ; *Metagenome ; Metagenomics/methods ; Neon ; *Soil ; },
abstract = {The largest dataset of soil metagenomes has recently been released by the National Ecological Observatory Network (NEON), which performs annual shotgun sequencing of soils at 47 sites across the United States. NEON serves as a valuable educational resource, thanks to its open data and programming tutorials, but there is currently no introductory tutorial for accessing and analyzing the soil shotgun metagenomic dataset. Here, we describe methods for processing raw soil metagenome sequencing reads using a bioinformatics pipeline tailored to the high complexity and diversity of the soil microbiome. We describe the rationale, necessary resources, and implementation of steps such as cleaning raw reads, taxonomic classification, assembly into contigs or genomes, annotation of predicted genes using custom protein databases, and exporting data for downstream analysis. The workflow presented here aims to increase the accessibility of NEON's shotgun metagenome data, which can provide important clues about soil microbial communities and their ecological roles.},
}

Computational Biology/methods
*Metagenome
Metagenomics/methods
Neon
*Soil

@article {pmid35708073,
year = {2022},
author = {Weinstein, BG and Garner, L and Saccomanno, VR and Steinkraus, A and Ortega, A and Brush, K and Yenni, G and McKellar, AE and Converse, R and Lippitt, CD and Wegmann, A and Holmes, ND and Edney, AJ and Hart, T and Jessopp, MJ and Clarke, RH and Marchowski, D and Senyondo, H and Dotson, R and White, EP and Frederick, P and Ernest, SKM},
title = {A general deep learning model for bird detection in high resolution airborne imagery.},
journal = {Ecological applications : a publication of the Ecological Society of America},
volume = {},
number = {},
pages = {e2694},
doi = {10.1002/eap.2694},
pmid = {35708073},
issn = {1051-0761},
abstract = {Advances in artificial intelligence for computer vision hold great promise for increasing the scales at which ecological systems can be studied. The distribution and behavior of individuals is central to ecology, and computer vision using deep neural networks can learn to detect individual objects in imagery. However, developing supervised models for ecological monitoring is challenging because it needs large amounts of human-labeled training data, requires advanced technical expertise and computational infrastructure, and is prone to overfitting. This limits application across space and time. One solution is developing generalized models that can be applied across species and ecosystems. Using over 250,000 annotations from 13 projects from around the world, we develop a general bird detection model that achieves over 65% recall and 50% precision on novel aerial data without any local training despite differences in species, habitat, and imaging methodology. Fine-tuning this model with only 1000 local annotations increase these values to an average of 84% recall and 69% precision by building on the general features learned from other data sources. Retraining from the general model improves local predictions even when moderately large annotation sets are available and makes model training faster and more stable. Our results demonstrate that general models for detecting broad classes of organisms using airborne imagery are achievable. These models can reduce the effort, expertise, and computational resources necessary for automating the detection of individual organisms across large scales, helping to transform the scale of data collection in ecology and the questions that can be addressed.},
}

@article {pmid35707189,
year = {2022},
author = {Chen, G and Tang, P and Wang, H},
title = {Boundary Determination of Lake-Type Wetland Park Based on GIS Multifactor Analysis.},
journal = {Computational intelligence and neuroscience},
volume = {2022},
number = {},
pages = {6161491},
doi = {10.1155/2022/6161491},
pmid = {35707189},
issn = {1687-5273},
mesh = {China ; Conservation of Natural Resources ; *Ecosystem ; Environmental Monitoring ; Geographic Information Systems ; Humans ; Remote Sensing Technology ; *Wetlands ; },
abstract = {One key carrier for wetland resource protection is wetland park, the main form of which includes lake-type wetland park. To determine the management and control boundary of lake-type wetland parks scientifically and reasonably is of great significance to the sustainable protection and utilization of wetland resources. From the perspective of landscape architecture, and landscape ecology, this paper studies the boundary determination of Changdang Lake National Wetland Park (the Park) based on satellite remote sensing information technology and GIS technology and in virtue of Analytic Hierarchy Process (AHP). In this study, 12 subindicators were selected from three levels including visual control, human geography, and ecological control. The weight of each indicator was determined by AHP, and then the influencing factors were transformed into graphic data by using GIS technology. Finally, the Park's boundary was determined by factor superposition analysis based on the weight. The research shows that the newly defined management and control boundary are about 340 sq.km, which effectively integrates the human and natural ecological resources around the lake area, makes the development of the surrounding areas harmonious, ensures the integrity of the lake area ecosystem, and facilitates the sustainable development of wetland resources.},
}

China
Conservation of Natural Resources
*Ecosystem
Environmental Monitoring
Geographic Information Systems
Humans
Remote Sensing Technology
*Wetlands

@article {pmid35633848,
year = {2022},
author = {McDonald, PJ and Brown, RM and Kraus, F and Bowles, P and Arifin, U and Eliades, SJ and Fisher, RN and Gaulke, M and Grismer, LL and Ineich, I and Karin, BR and Meneses, CG and Richards, SJ and Sanguila, MB and Siler, CD and Oliver, PM},
title = {Cryptic extinction risk in a western Pacific lizard radiation.},
journal = {Biodiversity and conservation},
volume = {},
number = {},
pages = {1-18},
doi = {10.1007/s10531-022-02412-x},
pmid = {35633848},
issn = {0960-3115},
abstract = {Cryptic ecologies, the Wallacean Shortfall of undocumented species' geographical ranges and the Linnaean Shortfall of undescribed diversity, are all major barriers to conservation assessment. When these factors overlap with drivers of extinction risk, such as insular distributions, the number of threatened species in a region or clade may be underestimated, a situation we term 'cryptic extinction risk'. The genus Lepidodactylus is a diverse radiation of insular and arboreal geckos that occurs across the western Pacific. Previous work on Lepidodactylus showed evidence of evolutionary displacement around continental fringes, suggesting an inherent vulnerability to extinction from factors such as competition and predation. We sought to (1) comprehensively review status and threats, (2) estimate the number of undescribed species, and (3) estimate extinction risk in data deficient and candidate species, in Lepidodactylus. From our updated IUCN Red List assessment, 60% of the 58 recognized species are threatened (n = 15) or Data Deficient (n = 21), which is higher than reported for most other lizard groups. Species from the smaller and isolated Pacific islands are of greatest conservation concern, with most either threatened or Data Deficient, and all particularly vulnerable to invasive species. We estimated 32 undescribed candidate species and linear modelling predicted that an additional 18 species, among these and the data deficient species, are threatened with extinction. Focusing efforts to resolve the taxonomy and conservation status of key taxa, especially on small islands in the Pacific, is a high priority for conserving this remarkably diverse, yet poorly understood, lizard fauna. Our data highlight how cryptic ecologies and cryptic diversity combine and lead to significant underestimation of extinction risk.

Supplementary Information: The online version contains supplementary material available at 10.1007/s10531-022-02412-x.},
}

@article {pmid35618868,
year = {2022},
author = {Mammola, S and Pavlek, M and Huber, BA and Isaia, M and Ballarin, F and Tolve, M and Čupić, I and Hesselberg, T and Lunghi, E and Mouron, S and Graco-Roza, C and Cardoso, P},
title = {A trait database and updated checklist for European subterranean spiders.},
journal = {Scientific data},
volume = {9},
number = {1},
pages = {236},
pmid = {35618868},
issn = {2052-4463},
support = {882221//European Commission (EC)/ ; 882221//European Commission (EC)/ ; },
mesh = {Animals ; Caves ; Checklist ; Databases, Factual ; Ecosystem ; *Spiders ; },
abstract = {Species traits are an essential currency in ecology, evolution, biogeography, and conservation biology. However, trait databases are unavailable for most organisms, especially those living in difficult-to-access habitats such as caves and other subterranean ecosystems. We compiled an expert-curated trait database for subterranean spiders in Europe using both literature data (including grey literature published in many different languages) and direct morphological measurements whenever specimens were available to us. We started by updating the checklist of European subterranean spiders, now including 512 species across 20 families, of which at least 192 have been found uniquely in subterranean habitats. For each of these species, we compiled 64 traits. The trait database encompasses morphological measures, including several traits related to subterranean adaptation, and ecological traits referring to habitat preference, dispersal, and feeding strategies. By making these data freely available, we open up opportunities for exploring different research questions, from the quantification of functional dimensions of subterranean adaptation to the study of spatial patterns in functional diversity across European caves.},
}

Animals
Caves
Checklist
Databases, Factual
Ecosystem
*Spiders

@article {pmid35262228,
year = {2022},
author = {Olker, JH and Elonen, CM and Pilli, A and Anderson, A and Kinziger, B and Erickson, S and Skopinski, M and Pomplun, A and LaLone, CA and Russom, CL and Hoff, D},
title = {The ECOTOXicology Knowledgebase: A Curated Database of Ecologically Relevant Toxicity Tests to Support Environmental Research and Risk Assessment.},
journal = {Environmental toxicology and chemistry},
volume = {41},
number = {6},
pages = {1520-1539},
doi = {10.1002/etc.5324},
pmid = {35262228},
issn = {1552-8618},
support = {//U.S. Environmental Protection Agency/ ; },
mesh = {Databases, Factual ; *Ecotoxicology/methods ; Humans ; Knowledge Bases ; Risk Assessment/methods ; *Toxicity Tests/methods ; },
abstract = {The need for assembled existing and new toxicity data has accelerated as the amount of chemicals introduced into commerce continues to grow and regulatory mandates require safety assessments for a greater number of chemicals. To address this evolving need, the ECOTOXicology Knowledgebase (ECOTOX) was developed starting in the 1980s and is currently the world's largest compilation of curated ecotoxicity data, providing support for assessments of chemical safety and ecological research through systematic and transparent literature review procedures. The recently released version of ECOTOX (Ver 5, www.epa.gov/ecotox) provides single-chemical ecotoxicity data for over 12,000 chemicals and ecological species with over one million test results from over 50,000 references. Presented is an overview of ECOTOX, detailing the literature review and data curation processes within the context of current systematic review practices and discussing how recent updates improve the accessibility and reusability of data to support the assessment, management, and research of environmental chemicals. Relevant and acceptable toxicity results are identified from studies in the scientific literature, with pertinent methodological details and results extracted following well-established controlled vocabularies and newly extracted toxicity data added quarterly to the public website. Release of ECOTOX, Ver 5, included an entirely redesigned user interface with enhanced data queries and retrieval options, visualizations to aid in data exploration, customizable outputs for export and use in external applications, and interoperability with chemical and toxicity databases and tools. This is a reliable source of curated ecological toxicity data for chemical assessments and research and continues to evolve with accessible and transparent state-of-the-art practices in literature data curation and increased interoperability to other relevant resources. Environ Toxicol Chem 2022;41:1520-1539. © 2022 SETAC. This article has been contributed to by US Government employees and their work is in the public domain in the USA.},
}

Databases, Factual
*Ecotoxicology/methods
Humans
Knowledge Bases
Risk Assessment/methods
*Toxicity Tests/methods

@article {pmid35605195,
year = {2022},
author = {Zhao, F and Tian, S and Wu, Q and Li, Z and Ye, L and Zhuang, Y and Wang, M and Xie, Y and Zou, S and Teng, W and Tong, Y and Tang, D and Mahato, AK and Benhamed, M and Liu, Z and Zhang, Y},
title = {Utility of Triti-Map for bulk-segregated mapping of causal genes and regulatory elements in Triticeae.},
journal = {Plant communications},
volume = {},
number = {},
pages = {100304},
doi = {10.1016/j.xplc.2022.100304},
pmid = {35605195},
issn = {2590-3462},
abstract = {Triticeae species, including wheat, barley, and rye, are critical for global food security. Mapping agronomically important genes is crucial for elucidating molecular mechanisms and improving crops. However, Triticeae includes many wild relatives with desirable agronomic traits, and frequent introgressions occurred during Triticeae evolution and domestication. Thus, Triticeae genomes are generally large and complex, making the localization of genes or functional elements that control agronomic traits challenging. Here, we developed Triti-Map, which contains a suite of user-friendly computational packages specifically designed and optimized to overcome the obstacles of gene mapping in Triticeae, as well as a web interface integrating multi-omics data from Triticeae for the efficient mining of genes or functional elements that control particular traits. The Triti-Map pipeline accepts both DNA and RNA bulk-segregated sequencing data as well as traditional QTL data as inputs for locating genes and elucidating their functions. We illustrate the usage of Triti-Map with a combination of bulk-segregated ChIP-seq data to detect a wheat disease-resistance gene with its promoter sequence that is absent from the reference genome and clarify its evolutionary process. We hope that Triti-Map will facilitate gene isolation and accelerate Triticeae breeding.},
}

@article {pmid35587493,
year = {2022},
author = {Tadmor-Levi, R and Borovski, T and Marcos-Hadad, E and Shapiro, J and Hulata, G and Golani, D and David, L},
title = {Establishing and using a genetic database for resolving identification of fish species in the Sea of Galilee, Israel.},
journal = {PloS one},
volume = {17},
number = {5},
pages = {e0267021},
pmid = {35587493},
issn = {1932-6203},
mesh = {Animals ; DNA ; *DNA Barcoding, Taxonomic ; Databases, Genetic ; Fishes/genetics ; *Fresh Water ; Israel ; Phylogeny ; },
abstract = {Freshwaters are a very valuable resource in arid areas, such as Mediterranean countries. Freshwater systems are vulnerable ecological habitats, significantly disturbed globally and especially in arid areas. The Sea of Galilee is the largest surface freshwater body in the Middle East. It is an isolated habitat supporting unique fish populations, including endemic species and populations on the edge of their distribution range. Using the Sea of Galilee for water supply, fishing and recreation has been placing pressure on these fish populations. Therefore, efficient monitoring and effective actions can make a difference in the conservation of these unique fish populations. To set a baseline and develop molecular tools to do so, in this study, DNA barcoding was used to establish a database of molecular species identification based on sequences of Cytochrome C Oxidase subunit I gene. DNA barcodes for 22 species were obtained and deposited in Barcode of Life Database. Among these, 12 barcodes for 10 species were new to the database and different from those already there. Barcode sequences were queried against the database and similar barcodes from the same and closely related species were obtained. Disagreements between morphological and molecular species identification were identified for five species, which were further studied by phylogenetic and genetic distances analyses. These analyses suggested the Sea of Galilee contained hybrid fish of some species and other species for which the species definition should be reconsidered. Notably, the cyprinid fish defined as Garra rufa, should be considered as Garra jordanica. Taken together, along with data supporting reconsideration of species definition, this study sets the basis for further using molecular tools for monitoring fish populations, understanding their ecology, and effectively managing their conservation in this unique and important habitat and in the region.},
}

Animals
DNA
*DNA Barcoding, Taxonomic
Databases, Genetic
Fishes/genetics
*Fresh Water
Israel
Phylogeny

@article {pmid35098469,
year = {2022},
author = {Yuan, Q and Wu, H and Zhao, Y and Zhang, Y and Yao, R and Zhao, Y and Yang, W},
title = {Ecosystem health of the Beiyun River basin (Beijing, China) as evaluated by the method of combination of AHP and PCA.},
journal = {Environmental science and pollution research international},
volume = {29},
number = {26},
pages = {39116-39130},
pmid = {35098469},
issn = {1614-7499},
mesh = {*Analytic Hierarchy Process ; Beijing ; China ; *Ecosystem ; Environmental Monitoring ; Humans ; Principal Component Analysis ; },
abstract = {Ecosystem services provided by river ecosystems rely on healthy ecosystem structure and ecological processes. The Beijing-Tianjin-Hebei urban is a typical water-deficient area. As an important part of the urban-rural integration construction, evaluating the health status of the Beiyun River Basin and discovering the weak links in the water environment are the basis for improving the health of the basin. In this study, analytic hierarchy process (AHP) was used to establish an evaluation index system for the Beiyun River Basin from 5 aspects including water quality, biology, ecology, hydrology, and social functions, and the principal component analysis (PCA) was then used to assign weights to the index layer. The evaluation results showed that the health evaluation results of the Beiyun River Basin in 2019 are "sub-healthy," and the overall health status is getting worse from northwest to southeast. In the middle reaches of the region, the evaluation result is "healthy," followed by the upstream, and the downstream is the worst. The results showed that areas with less human interference or orderly intervention are in better health. High eutrophication level, low bio-diversity, and low vegetation coverage are the main indicators that leads to poor ecosystem health in the Beiyun River Basin. For the comprehensive management of the Beiyun River, the improvement of water quality and habitat ecological restoration are key actions to the health of the upstream ecosystem. The improvement of the health status of the downstream should focus on equal emphasis on water quality and quantity, restoration of biodiversity, and improvement of the quality of the riparian ecological environment.},
}

*Analytic Hierarchy Process
Beijing
China
*Ecosystem
Environmental Monitoring
Humans
Principal Component Analysis

@article {pmid35573805,
year = {2022},
author = {Record, S and Jarzyna, MA and Hardiman, B and Richardson, AD},
title = {Open data facilitate resilience in science during the COVID-19 pandemic.},
journal = {Frontiers in ecology and the environment},
volume = {20},
number = {2},
pages = {76-77},
doi = {10.1002/fee.2468},
pmid = {35573805},
issn = {1540-9295},
}

@article {pmid35537509,
year = {2022},
author = {Xu, N and Zhang, Z and Shen, Y and Zhang, Q and Liu, Z and Yu, Y and Wang, Y and Lei, C and Ke, M and Qiu, D and Lu, T and Chen, Y and Xiong, J and Qian, H},
title = {Compare the performance of multiple binary classification models in microbial high-throughput sequencing datasets.},
journal = {The Science of the total environment},
volume = {},
number = {},
pages = {155807},
doi = {10.1016/j.scitotenv.2022.155807},
pmid = {35537509},
issn = {1879-1026},
abstract = {The development of machine learning and deep learning provided solutions for predicting microbiota response on environmental change based on microbial high-throughput sequencing. However, there were few studies specifically clarifying the performance and practical of two types of binary classification models to find a better algorithm for the microbiota data analysis. Here, for the first time, we evaluated the performance, accuracy and running time of the binary classification models built by three machine learning methods - random forest (RF), support vector machine (SVM), logistic regression (LR), and one deep learning method - back propagation neural network (BPNN). The built models were based on the microbiota datasets that removed low-quality variables and solved the class imbalance problem. Additionally, we optimized the models by tuning. Our study demonstrated that dataset pre-processing was a necessary process for model construction. Among these 4 binary classification models, BPNN and RF were the most suitable methods for constructing microbiota binary classification models. Using these 4 models to predict multiple microbial datasets, BPNN showed the highest accuracy and the most robust performance, while the RF method was ranked second. We also constructed the optimal models by adjusting the epochs of BPNN and the n_estimators of RF for six times. The evaluation related to performances of models provided a road map for the application of artificial intelligence to assess microbial ecology.},
}

@article {pmid35526396,
year = {2022},
author = {Coolen, JWP and Vanaverbeke, J and Dannheim, J and Garcia, C and Birchenough, SNR and Krone, R and Beermann, J},
title = {Generalized changes of benthic communities after construction of wind farms in the southern North Sea.},
journal = {Journal of environmental management},
volume = {315},
number = {},
pages = {115173},
doi = {10.1016/j.jenvman.2022.115173},
pmid = {35526396},
issn = {1095-8630},
abstract = {Over the last years, the development of offshore renewable energy installations such as offshore wind farms led to an increasing number of man-made structures in marine environments. Since 2009, benthic impact monitoring programs were carried out in wind farms installed in the southern North Sea. We collated and analyzed data sets from three major monitoring programs. Our analysis considered a total of 2849 sampling points converted to a set of biodiversity response metrics. We analyzed biodiversity changes related to the implementation of offshore wind farms and generalized the correlation of these changes with spatial and temporal patterns. Our results demonstrate that depth, season and distance to structure (soft-bottom community) consistently determined diversity indicators and abundance parameters, whereas the age and the country affiliation were significantly related to some but not all indices. The water depth was the most important structuring factor for fouling communities while seasonal effects were driving most of the observed changes in soft-sediment communities. We demonstrate that a meta-analysis can provide an improved level of understanding of ecological patterns on large-scale effects of anthropogenic structures on marine biodiversity, which were not visible in single monitoring studies. We believe that meta-analyses should become an indispensable tool for management of offshore wind farm effects in the future, particularly in the view of the foreseen development of offshore renewable energies. This might lead to a better picture and more comprehensive view on potential alterations. However, this requires a modern open-source data policy and data management, across institutions and across national borders.},
}

@article {pmid35351593,
year = {2022},
author = {Pan, SF and Ji, XH and Xie, YH and Liu, SH and Tian, FX and Liu, XL},
title = {Influence of soil properties on cadmium accumulation in vegetables: Thresholds, prediction and pathway models based on big data.},
journal = {Environmental pollution (Barking, Essex : 1987)},
volume = {304},
number = {},
pages = {119225},
doi = {10.1016/j.envpol.2022.119225},
pmid = {35351593},
issn = {1873-6424},
mesh = {Big Data ; *Cadmium/analysis ; China ; Soil/chemistry ; *Soil Pollutants/analysis ; Vegetables/chemistry ; },
abstract = {Soil properties, such as soil pH, soil organic matter (SOM), cation exchange capacity (CEC), are the most important factors affecting cadmium (Cd) accumulation in vegetables. In this study, we conducted big data mining of 31,342 soil and vegetable samples to examine the influence of soil properties (soil pH, SOM, CEC, Zn and Mn content) on the accumulation of Cd in root, solanaceous, and leafy vegetables in Hunan Province, China. Specifically, the Cd accumulation capability was in the following order: leafy vegetables > root vegetables > solanaceous vegetables. The soil property thresholds for safety production in vegetables were determined by establishing nonlinear models between Cd bioaccumulation factor (BCF) and the individual soil property, and were 6.5 (pH), 30.0 g/kg (SOM), 13.0 cmol/kg (CEC), 100-140 mg/kg (Zn), and 300-400 mg/kg (Mn). When soil property values were higher than the thresholds, Cd accumulation in vegetables tended to be stable. Prediction models showed that pH and soil Zn were the leading factors influencing Cd accumulation in root vegetables, explaining 87% of the variance; pH, SOM, soil Zn and Mn explained 68% of the variance in solanaceous vegetables; pH and SOM were the main contributors in leafy vegetables, explaining 65% of the variance. Further, variance partitioning analysis (VPA) revealed that the interaction effect of the corresponding key soil properties contributed mostly to BCF. Meanwhile, partial least squares (PLS) path modeling was employed to analyze the path and the interactive effects of soil properties on Cd BCF. pH and SOM were found to be the biggest two players affecting BCF in PLS-models, and the most substantial interactive influence paths of soil properties on BCF were different among the three types of vegetables.},
}

Big Data
*Cadmium/analysis
China
Soil/chemistry
*Soil Pollutants/analysis
Vegetables/chemistry

@article {pmid35338150,
year = {2022},
author = {Bolotov, IN and Gofarov, MY and Koshkin, ES and Gorbach, VV and Bakhaev, YI and Berlov, OE and Gordeev, SY and Kolosova, YS and Kondakov, AV and Korshunov, AV and Potapov, GS and Sinev, SY and Sleptsov, SS and Spitsyn, VM and Strelnikov, EG and Timchenko, AV and Haverinen, R and Nupponen, K and Saarenmaa, H},
title = {A nearly complete database on the records and ecology of the rarest boreal tiger moth from 1840s to 2020.},
journal = {Scientific data},
volume = {9},
number = {1},
pages = {107},
pmid = {35338150},
issn = {2052-4463},
mesh = {Animals ; Climate Change ; Databases, Factual ; *Moths ; *Taiga ; },
abstract = {Global environmental changes may cause dramatic insect declines but over century-long time series of certain species' records are rarely available for scientific research. The Menetries' Tiger Moth (Arctia menetriesii) appears to be the most enigmatic example among boreal insects. Although it occurs throughout the entire Eurasian taiga biome, it is so rare that less than 100 specimens were recorded since its original description in 1846. Here, we present the database, which contains nearly all available information on the species' records collected from 1840s to 2020. The data on A. menetriesii records (N = 78) through geographic regions, environments, and different timeframes are compiled and unified. The database may serve as the basis for a wide array of future research such as the distribution modeling and predictions of range shifts under climate changes. It represents a unique example of a more than century-long dataset of distributional, ecological, and phenological data designed for an exceptionally rare but widespread boreal insect, which primarily occurs in hard-to-reach, uninhabited areas of Eurasia.},
}

Animals
Climate Change
Databases, Factual
*Moths
*Taiga

@article {pmid35383183,
year = {2022},
author = {Tanalgo, KC and Tabora, JAG and de Oliveira, HFM and Haelewaters, D and Beranek, CT and Otálora-Ardila, A and Bernard, E and Gonçalves, F and Eriksson, A and Donnelly, M and González, JM and Ramos, HF and Rivas, AC and Webala, PW and Deleva, S and Dalhoumi, R and Maula, J and Lizarro, D and Aguirre, LF and Bouillard, N and Quibod, MNRM and Barros, J and Turcios-Casco, MA and Martínez, M and Ordoñez-Mazier, DI and Orellana, JAS and Ordoñez-Trejo, EJ and Ordoñez, D and Chornelia, A and Lu, JM and Xing, C and Baniya, S and Muylaert, RL and Dias-Silva, LH and Ruadreo, N and Hughes, AC},
title = {DarkCideS 1.0, a global database for bats in karsts and caves.},
journal = {Scientific data},
volume = {9},
number = {1},
pages = {155},
pmid = {35383183},
issn = {2052-4463},
mesh = {Animals ; Biodiversity ; *Chiroptera ; Databases, Factual ; Ecosystem ; },
abstract = {Understanding biodiversity patterns as well as drivers of population declines, and range losses provides crucial baselines for monitoring and conservation. However, the information needed to evaluate such trends remains unstandardised and sparsely available for many taxonomic groups and habitats, including the cave-dwelling bats and cave ecosystems. We developed the DarkCideS 1.0 (https://darkcides.org/), a global database of bat caves and species synthesised from publicly available information and datasets. The DarkCideS 1.0 is by far the largest database for cave-dwelling bats, which contains information for geographical location, ecological status, species traits, and parasites and hyperparasites for 679 bat species are known to occur in caves or use caves in part of their life histories. The database currently contains 6746 georeferenced occurrences for 402 cave-dwelling bat species from 2002 cave sites in 46 countries and 12 terrestrial biomes. The database has been developed to be collaborative and open-access, allowing continuous data-sharing among the community of bat researchers and conservation biologists to advance bat research and comparative monitoring and prioritisation for conservation.},
}

Animals
Biodiversity
*Chiroptera
Databases, Factual
Ecosystem

@article {pmid35157858,
year = {2022},
author = {Wang, W and Tian, P and Zhang, J and Agathokleous, E and Xiao, L and Koike, T and Wang, H and He, X},
title = {Big data-based urban greenness in Chinese megalopolises and possible contribution to air quality control.},
journal = {The Science of the total environment},
volume = {824},
number = {},
pages = {153834},
doi = {10.1016/j.scitotenv.2022.153834},
pmid = {35157858},
issn = {1879-1026},
mesh = {*Air Pollutants/analysis ; *Air Pollution/analysis ; Big Data ; China ; Cities ; Environmental Monitoring ; Humans ; Nitrogen Dioxide/analysis ; Particulate Matter/analysis ; Quality Control ; },
abstract = {Urban greenness is essential for people's daily lives, while its contribution to air quality control is unclear. In this study, Streetview big data of urban greenness and air quality data (Air Quality Index, PM2.5, PM10, SO2, NO2, O3, CO) from 206 monitoring stations from 27 provincial capital cities in China were analyzed. The national averages for the sky, ground and middle-level (shrub and short trees) view greenness were 5.4%, 5.5%, and 15.4%, respectively, and the sky:ground:middle ratio was 2:2:6. Street-view/bird-view greenness ratio averaged at 1.1. Large inter-city variations were observed in all the greenness parameters, and the weak associations between all street-view parameters and bird-eye greenspace percentage (21%-73%) indicate their representatives of different aspects of green infrastructures. All air quality parameters were higher in winter than in summer, except O3. Over 90% of air quality variation could be explained by socioeconomics and geoclimates, suggesting that air quality control in China should first reduce efflux from social economics, while geoclimatic-oriented ventilation facilitation design is also critical. For different air quality components, greenness had most significant associations with NO2, O3 and CO, and street-view/bird-view ratio was the most powerful indicator of all greenness parameters. Pooled-data analysis at national level showed that street-view greenness was responsible for 2.3% of the air quality variations in the summer and 3.6% in the winter; however, when separated into different regions (North-South China; East-West China), the explaining power increased up to 16.2%. Increased NO2 was accompanied with decreased O3, indicating NO titration effect. The higher O3 aligned with the higher street-view greenness, showing the greenness-related precursor risk for O3 pollution. Our study manifested that big internet data could identify the association of greenness and air pollution from street view scale, which can favor urban greenness management and evaluation in other regions where street-view data are available.},
}

*Air Pollutants/analysis
*Air Pollution/analysis
Big Data
China
Cities
Environmental Monitoring
Humans
Nitrogen Dioxide/analysis
Particulate Matter/analysis
Quality Control

@article {pmid34650271,
year = {2022},
author = {Hoffmann, MA and Nothias, LF and Ludwig, M and Fleischauer, M and Gentry, EC and Witting, M and Dorrestein, PC and Dührkop, K and Böcker, S},
title = {High-confidence structural annotation of metabolites absent from spectral libraries.},
journal = {Nature biotechnology},
volume = {40},
number = {3},
pages = {411-421},
pmid = {34650271},
issn = {1546-1696},
support = {R01 GM107550/GM/NIGMS NIH HHS/United States ; U19 AG063744 01//U.S. Department of Health & Human Services | National Institutes of Health (NIH)/ ; P41 GM103484/GM/NIGMS NIH HHS/United States ; U19 AG063744/AG/NIA NIH HHS/United States ; GBMF 7622//Gordon and Betty Moore Foundation (Gordon E. and Betty I. Moore Foundation)/ ; R03 CA211211/CA/NCI NIH HHS/United States ; },
mesh = {Databases, Factual ; Humans ; Metabolome ; *Metabolomics/methods ; Molecular Structure ; *Tandem Mass Spectrometry ; },
abstract = {Untargeted metabolomics experiments rely on spectral libraries for structure annotation, but, typically, only a small fraction of spectra can be matched. Previous in silico methods search in structure databases but cannot distinguish between correct and incorrect annotations. Here we introduce the COSMIC workflow that combines in silico structure database generation and annotation with a confidence score consisting of kernel density P value estimation and a support vector machine with enforced directionality of features. On diverse datasets, COSMIC annotates a substantial number of hits at low false discovery rates and outperforms spectral library search. To demonstrate that COSMIC can annotate structures never reported before, we annotated 12 natural bile acids. The annotation of nine structures was confirmed by manual evaluation and two structures using synthetic standards. In human samples, we annotated and manually validated 315 molecular structures currently absent from the Human Metabolome Database. Application of COSMIC to data from 17,400 metabolomics experiments led to 1,715 high-confidence structural annotations that were absent from spectral libraries.},
}

Databases, Factual
Humans
Metabolome
*Metabolomics/methods
Molecular Structure
*Tandem Mass Spectrometry

@article {pmid34218159,
year = {2021},
author = {Justus, J and Wakil, S},
title = {The algorithmic turn in conservation biology: Characterizing progress in ethically-driven sciences.},
journal = {Studies in history and philosophy of science},
volume = {88},
number = {},
pages = {181-192},
doi = {10.1016/j.shpsa.2021.05.013},
pmid = {34218159},
issn = {0039-3681},
mesh = {Algorithms ; *Biodiversity ; Biology ; *Conservation of Natural Resources/methods ; Geographic Information Systems ; },
abstract = {As a discipline distinct from ecology, conservation biology emerged in the 1980s as a rigorous science focused on protecting biodiversity. Two algorithmic breakthroughs in information processing made this possible: place-prioritization algorithms and geographical information systems. They provided defensible, data-driven methods for designing reserves to conserve biodiversity that obviated the need for largely intuitive and highly problematic appeals to ecological theory at the time. But the scientific basis of these achievements and whether they constitute genuine scientific progress has been criticized. We counter by pointing out important inaccuracies about the science and rejecting the apparent theory-first focus. More broadly, the case study reveals significant limitations of the predominant epistemic-semantic conceptions of scientific progress and the considerable merits of pragmatic, practically-oriented accounts.},
}

Algorithms
*Biodiversity
Biology
*Conservation of Natural Resources/methods
Geographic Information Systems

@article {pmid35319247,
year = {2022},
author = {Kollath, DR and Mihaljevic, JR and Barker, BM},
title = {PM10 and Other Climatic Variables Are Important Predictors of Seasonal Variability of Coccidioidomycosis in Arizona.},
journal = {Microbiology spectrum},
volume = {},
number = {},
pages = {e0148321},
doi = {10.1128/spectrum.01483-21},
pmid = {35319247},
issn = {2165-0497},
abstract = {Coccidioidomycosis (Valley fever) is a disease caused by the fungal pathogens Coccidioides immitis and Coccidioides posadasii that are endemic to the southwestern United States and parts of Mexico and South America. Throughout the range where the pathogens are endemic, there are seasonal patterns of infection rates that are associated with certain climatic variables. Previous studies that looked at annual and monthly relationships of coccidioidomycosis and climate suggest that infection numbers are linked with precipitation and temperature fluctuations; however, these analytic methods may miss important nonlinear, nonmonotonic seasonal relationships between the response (Valley fever cases) and explanatory variables (climate) influencing disease outbreaks. To improve our current knowledge and to retest relationships, we used case data from three counties of high endemicity in southern Arizona paired with climate data to construct a generalized additive statistical model that explores which meteorological parameters are most useful in predicting Valley fever incidence throughout the year. We then use our model to forecast the pattern of Valley fever cases by month. Our model shows that maximum monthly temperature, average PM10, and total precipitation 1 month prior to reported cases (lagged model) were all significant in predicting Valley fever cases. Our model fits Valley fever case data in the region of endemicity of southern Arizona and captures the seasonal relationships that predict when the public is at higher risk of being infected. This study builds on and retests relationships described by previous studies regarding climate variables that are important for predicting risk of infection and understanding this fungal pathogen. IMPORTANCE The inhalation of environmental infectious propagules from the fungal pathogens Coccidioides immitis and Coccidioides posadasii by susceptible mammals can result in coccidioidomycosis (Valley fever). Arizona is known to be a region where the pathogen is hyperendemic, and reported cases are increasing throughout the western United States. Coccidioides spp. are naturally occurring fungi in arid soils. Little is known about ecological factors that influence the growth of these fungi, and a higher environmental burden may result in increases in human exposure and therefore case rates. By examining case and climate data from Arizona and using generalized additive statistical models, we were able to examine the relationship between disease outbreaks and climatic variables and predict seasonal time points of increased infection risk.},
}

@article {pmid34811423,
year = {2021},
author = {Alberdi, A and Martin Bideguren, G and Aizpurua, O},
title = {Diversity and compositional changes in the gut microbiota of wild and captive vertebrates: a meta-analysis.},
journal = {Scientific reports},
volume = {11},
number = {1},
pages = {22660},
pmid = {34811423},
issn = {2045-2322},
support = {DNRF143//Danmarks Grundforskningsfond/ ; },
mesh = {Animals ; Animals, Wild ; Animals, Zoo/*microbiology ; Bacteria/classification ; Cluster Analysis ; Computational Biology ; Ecology ; *Gastrointestinal Microbiome ; Humans ; Mammals/*microbiology ; Microbiota ; Phylogeny ; RNA, Ribosomal, 16S/metabolism ; Species Specificity ; Vertebrates ; },
abstract = {The gut microbiota is recognised as an essential asset for the normal functioning of animal biology. When wild animals are moved into captivity, the modified environmental pressures are expected to rewire the gut microbiota, yet whether this transition follows similar patterns across vertebrates is still unresolved due to the absence of systematic multi-species analyses. We performed a meta-analysis of gut microbiota profiles of 322 captive and 322 wild specimens from 24 vertebrate species. Our analyses yielded no overall pattern of diversity and compositional variation between wild and captive vertebrates, but a heterogeneous landscape of responses, which differed depending on the components of diversity considered. Captive populations showed enrichment patterns of human-associated microorganisms, and the minimal host phylogenetic signal suggests that changes between wild and captive populations are mainly driven by case-specific captivity conditions. Finally, we show that microbiota differences between wild and captive populations can impact evolutionary and ecological inferences that rely on hierarchical clustering-based comparative analyses of gut microbial communities across species.},
}

Animals
Animals, Wild
Animals, Zoo/*microbiology
Bacteria/classification
Cluster Analysis
Computational Biology
Ecology
*Gastrointestinal Microbiome
Humans
Mammals/*microbiology
Microbiota
Phylogeny
RNA, Ribosomal, 16S/metabolism
Species Specificity
Vertebrates

@article {pmid35175823,
year = {2022},
author = {Nathan, R and Monk, CT and Arlinghaus, R and Adam, T and Alós, J and Assaf, M and Baktoft, H and Beardsworth, CE and Bertram, MG and Bijleveld, AI and Brodin, T and Brooks, JL and Campos-Candela, A and Cooke, SJ and Gjelland, KØ and Gupte, PR and Harel, R and Hellström, G and Jeltsch, F and Killen, SS and Klefoth, T and Langrock, R and Lennox, RJ and Lourie, E and Madden, JR and Orchan, Y and Pauwels, IS and Říha, M and Roeleke, M and Schlägel, UE and Shohami, D and Signer, J and Toledo, S and Vilk, O and Westrelin, S and Whiteside, MA and Jarić, I},
title = {Big-data approaches lead to an increased understanding of the ecology of animal movement.},
journal = {Science (New York, N.Y.)},
volume = {375},
number = {6582},
pages = {eabg1780},
doi = {10.1126/science.abg1780},
pmid = {35175823},
issn = {1095-9203},
mesh = {Animal Migration ; Animals ; Animals, Wild/*physiology ; *Behavior, Animal ; *Big Data ; Data Collection ; *Ecology ; Ecosystem ; *Environment ; *Movement ; Spatio-Temporal Analysis ; },
abstract = {Understanding animal movement is essential to elucidate how animals interact, survive, and thrive in a changing world. Recent technological advances in data collection and management have transformed our understanding of animal "movement ecology" (the integrated study of organismal movement), creating a big-data discipline that benefits from rapid, cost-effective generation of large amounts of data on movements of animals in the wild. These high-throughput wildlife tracking systems now allow more thorough investigation of variation among individuals and species across space and time, the nature of biological interactions, and behavioral responses to the environment. Movement ecology is rapidly expanding scientific frontiers through large interdisciplinary and collaborative frameworks, providing improved opportunities for conservation and insights into the movements of wild animals, and their causes and consequences.},
}

Animal Migration
Animals
Animals, Wild/*physiology
*Behavior, Animal
*Big Data
Data Collection
*Ecology
Ecosystem
*Environment
*Movement
Spatio-Temporal Analysis

@article {pmid35073313,
year = {2022},
author = {Bogdanowski, A and Banitz, T and Muhsal, LK and Kost, C and Frank, K},
title = {McComedy: A user-friendly tool for next-generation individual-based modeling of microbial consumer-resource systems.},
journal = {PLoS computational biology},
volume = {18},
number = {1},
pages = {e1009777},
pmid = {35073313},
issn = {1553-7358},
mesh = {Computational Biology/*methods ; *Microbiota ; Software ; *User-Computer Interface ; },
abstract = {Individual-based modeling is widely applied to investigate the ecological mechanisms driving microbial community dynamics. In such models, the population or community dynamics emerge from the behavior and interplay of individual entities, which are simulated according to a predefined set of rules. If the rules that govern the behavior of individuals are based on generic and mechanistically sound principles, the models are referred to as next-generation individual-based models. These models perform particularly well in recapitulating actual ecological dynamics. However, implementation of such models is time-consuming and requires proficiency in programming or in using specific software, which likely hinders a broader application of this powerful method. Here we present McComedy, a modeling tool designed to facilitate the development of next-generation individual-based models of microbial consumer-resource systems. This tool allows flexibly combining pre-implemented building blocks that represent physical and biological processes. The ability of McComedy to capture the essential dynamics of microbial consumer-resource systems is demonstrated by reproducing and furthermore adding to the results of two distinct studies from the literature. With this article, we provide a versatile tool for developing next-generation individual-based models that can foster understanding of microbial ecology in both research and education.},
}

Computational Biology/*methods
*Microbiota
Software
*User-Computer Interface

@article {pmid35098619,
year = {2022},
author = {Shin, YJ and Midgley, GF and Archer, ERM and Arneth, A and Barnes, DKA and Chan, L and Hashimoto, S and Hoegh-Guldberg, O and Insarov, G and Leadley, P and Levin, LA and Ngo, HT and Pandit, R and Pires, APF and Pörtner, HO and Rogers, AD and Scholes, RJ and Settele, J and Smith, P},
title = {Actions to halt biodiversity loss generally benefit the climate.},
journal = {Global change biology},
volume = {},
number = {},
pages = {},
doi = {10.1111/gcb.16109},
pmid = {35098619},
issn = {1365-2486},
support = {869300//European Union's Horizon 2020 research and innovation programme/ ; CRRP2018-03MY-Hashimoto//Asia-Pacific Network for Global Change Research/ ; //REVOcean/ ; 14200103//Research Institute for Humanity and Nature/ ; 0148-2019-0007//Institute of Geography, Russian Academy of Sciences/ ; S-15//Environment Research and Technology Development Fund/ ; ANR-18-EBI4-0003-01//BiodivScen ERA-Net COFUND/ ; },
abstract = {The two most urgent and interlinked environmental challenges humanity faces are climate change and biodiversity loss. We are entering a pivotal decade for both the international biodiversity and climate change agendas with the sharpening of ambitious strategies and targets by the Convention on Biological Diversity and the United Nations Framework Convention on Climate Change. Within their respective Conventions, the biodiversity and climate interlinked challenges have largely been addressed separately. There is evidence that conservation actions that halt, slow or reverse biodiversity loss can simultaneously slow anthropogenic mediated climate change significantly. This review highlights conservation actions which have the largest potential for mitigation of climate change. We note that conservation actions have mainly synergistic benefits and few antagonistic trade-offs with climate change mitigation. Specifically, we identify direct co-benefits in 14 out of the 21 action targets of the draft post-2020 global biodiversity framework of the Convention on Biological Diversity, notwithstanding the many indirect links that can also support both biodiversity conservation and climate change mitigation. These relationships are context and scale-dependent; therefore, we showcase examples of local biodiversity conservation actions that can be incentivized, guided and prioritized by global objectives and targets. The close interlinkages between biodiversity, climate change mitigation, other nature's contributions to people and good quality of life are seldom as integrated as they should be in management and policy. This review aims to re-emphasize the vital relationships between biodiversity conservation actions and climate change mitigation in a timely manner, in support to major Conferences of Parties that are about to negotiate strategic frameworks and international goals for the decades to come.},
}

@article {pmid35210936,
year = {2022},
author = {Marqués, L and Peltier, DMP and Camarero, JJ and Zavala, MA and Madrigal-González, J and Sangüesa-Barreda, G and Ogle, K},
title = {Disentangling the Legacies of Climate and Management on Tree Growth.},
journal = {Ecosystems (New York, N.Y.)},
volume = {25},
number = {1},
pages = {215-235},
doi = {10.1007/s10021-021-00650-8},
pmid = {35210936},
issn = {1432-9840},
abstract = {Legacies of past climate conditions and historical management govern forest productivity and tree growth. Understanding how these processes interact and the timescales over which they influence tree growth is critical to assess forest vulnerability to climate change. Yet, few studies address this issue, likely because integrated long-term records of both growth and forest management are uncommon. We applied the stochastic antecedent modelling (SAM) framework to annual tree-ring widths from mixed forests to recover the ecological memory of tree growth. We quantified the effects of antecedent temperature and precipitation up to 4 years preceding the year of ring formation and integrated management effects with records of harvesting intensity from historical forest management archives. The SAM approach uncovered important time periods most influential to growth, typically the warmer and drier months or seasons, but variation among species and sites emerged. Silver fir responded primarily to past climate conditions (25-50 months prior to the year of ring formation), while European beech and Scots pine responded mostly to climate conditions during the year of ring formation and the previous year, although these responses varied among sites. Past management and climate interacted in such a way that harvesting promoted growth in young silver fir under wet and warm conditions and in old European beech under drier and cooler conditions. Our study shows that the ecological memory associated with climate legacies and historical forest management is species-specific and context-dependent, suggesting that both aspects are needed to properly evaluate forest functioning under climate change.

Supplementary Information: The online version contains supplementary material available at 10.1007/s10021-021-00650-8.},
}

@article {pmid35134065,
year = {2022},
author = {Engelstad, P and Jarnevich, CS and Hogan, T and Sofaer, HR and Pearse, IS and Sieracki, JL and Frakes, N and Sullivan, J and Young, NE and Prevéy, JS and Belamaric, P and LaRoe, J},
title = {INHABIT: A web-based decision support tool for invasive plant species habitat visualization and assessment across the contiguous United States.},
journal = {PloS one},
volume = {17},
number = {2},
pages = {e0263056},
pmid = {35134065},
issn = {1932-6203},
mesh = {Conservation of Natural Resources/*methods ; Decision Making ; Decision Support Techniques ; Ecosystem ; Internet ; Introduced Species/*statistics & numerical data ; Plant Dispersal/*physiology ; Plants/classification ; Software ; United States ; },
abstract = {Narrowing the communication and knowledge gap between producers and users of scientific data is a longstanding problem in ecological conservation and land management. Decision support tools (DSTs), including websites or interactive web applications, provide platforms that can help bridge this gap. DSTs can most effectively disseminate and translate research results when producers and users collaboratively and iteratively design content and features. One data resource seldom incorporated into DSTs are species distribution models (SDMs), which can produce spatial predictions of habitat suitability. Outputs from SDMs can inform management decisions, but their complexity and inaccessibility can limit their use by resource managers or policy makers. To overcome these limitations, we present the Invasive Species Habitat Tool (INHABIT), a novel, web-based DST built with R Shiny to display spatial predictions and tabular summaries of habitat suitability from SDMs for invasive plants across the contiguous United States. INHABIT provides actionable science to support the prevention and management of invasive species. Two case studies demonstrate the important role of end user feedback in confirming INHABIT's credibility, utility, and relevance.},
}

Conservation of Natural Resources/*methods
Decision Making
Decision Support Techniques
Ecosystem
Internet
Introduced Species/*statistics & numerical data
Plant Dispersal/*physiology
Plants/classification
Software
United States

@article {pmid35176378,
year = {2022},
author = {Choo, SW and Chong, JL and Gaubert, P and Hughes, AC and O'Brien, S and Chaber, AL and Antunes, A and Platto, S and Sun, NC and Yu, L and Koepfli, KP and Suwal, TL and Thakur, M and Ntie, S and Panjang, E and Kumaran, JV and Mahmood, T and Heighton, SP and Dorji, D and Gonedelé, BS and Nelson, BR and Djagoun, CAMS and Loh, IH and Kaspal, P and Pauklin, S and Michelena, T and Zhu, H and Lipovich, L and Tian, X and Deng, S and Mason, CE and Hu, J and White, R and Jakubovics, NS and Wee, WY and Tan, TK and Wong, KT and Paterson, S and Chen, M and Zhang, Y and Othman, RY and Brown, LC and Shen, B and Shui, G and Ang, MY and Zhao, Y and Li, Y and Zhang, B and Chong, CT and Meng, Y and Wong, A and Su, J and Omar, H and Shen, H and Tan, CH and Xu, H and Paterson, IC and Wang, M and Chan, CK and Zhang, S and Dutta, A and Tee, TS and Juvigny-Khenafou, NPD and Mutha, NVR and Aziz, MA},
title = {A collective statement in support of saving pangolins.},
journal = {The Science of the total environment},
volume = {},
number = {},
pages = {153666},
doi = {10.1016/j.scitotenv.2022.153666},
pmid = {35176378},
issn = {1879-1026},
}

@article {pmid35157146,
year = {2022},
author = {Xu, Y and Wang, X and Cui, G and Li, K and Liu, Y and Li, B and Yao, Z},
title = {Source apportionment and ecological and health risk mapping of soil heavy metals based on PMF, SOM, and GIS methods in Hulan River Watershed, Northeastern China.},
journal = {Environmental monitoring and assessment},
volume = {194},
number = {3},
pages = {181},
pmid = {35157146},
issn = {1573-2959},
support = {41861124004//National Natural Science Foundation of China/ ; 42001107//National Natural Science Foundation of China/ ; },
mesh = {Adult ; Child ; China ; Environmental Monitoring ; Geographic Information Systems ; Humans ; *Metals, Heavy/analysis ; Risk Assessment ; Rivers ; Soil ; *Soil Pollutants/analysis ; },
abstract = {Heavy metals in agricultural soils not only affect the food security and soil security, but also endanger the human health through the food chain. Based on the incorporation of index analysis, positive matrix factorization (PMF), self-organizing map (SOM), and geostatistical methods, this research performed the assessment of source apportionment and ecological and health risks of soil heavy metals in Hulan River Watershed, Northeastern China. According to the Pollution Load Index (PLI), 83.08% of the soil samples were slightly or mildly polluted, and 1.54% of the soil samples were severely polluted. The ecological risk index (EI) showed that about 80.77% and 60.77% of the soil samples were beyond the low risk level for Hg and Cd, respectively. In this research, the non-carcinogenic and carcinogenic risk indices for children were higher than adult males and adult females. Four potential sources were revealed based on the PMF and SOM analysis including atmospheric deposition and industrial emission; transportation source; agricultural source; and a combination of agricultural, industrial, and natural sources. Considerable and high ecological risk from Hg existed in the area close to the coal steam-electric plant, and considerable and high ecological risk from Cd existed in the Hulan River estuary area. The eastern part of the study area experienced higher non-carcinogenic and carcinogenic risks for adults and children than the western part of the study area. The source apportionment and ecological and health risk mapping provide important role in reducing pollution sources. Zonal pollution control and soil restoration measures should be performed in the areas with high ecological and health risks.},
}

Adult
Child
China
Environmental Monitoring
Geographic Information Systems
Humans
*Metals, Heavy/analysis
Risk Assessment
Rivers
Soil
*Soil Pollutants/analysis

@article {pmid34871304,
year = {2021},
author = {Civantos-Gómez, I and García-Algarra, J and García-Callejas, D and Galeano, J and Godoy, O and Bartomeus, I},
title = {Fine scale prediction of ecological community composition using a two-step sequential Machine Learning ensemble.},
journal = {PLoS computational biology},
volume = {17},
number = {12},
pages = {e1008906},
pmid = {34871304},
issn = {1553-7358},
mesh = {Algorithms ; Biota/*physiology ; Computational Biology ; *Machine Learning ; *Models, Biological ; Plants ; },
abstract = {Prediction is one of the last frontiers in ecology. Indeed, predicting fine-scale species composition in natural systems is a complex challenge as multiple abiotic and biotic processes operate simultaneously to determine local species abundances. On the one hand, species intrinsic performance and their tolerance limits to different abiotic pressures modulate species abundances. On the other hand, there is growing recognition that species interactions play an equally important role in limiting or promoting such abundances within ecological communities. Here, we present a joint effort between ecologists and data scientists to use data-driven models to predict species abundances using reasonably easy to obtain data. We propose a sequential data-driven modeling approach that in a first step predicts the potential species abundances based on abiotic variables, and in a second step uses these predictions to model the realized abundances once accounting for species competition. Using a curated data set over five years we predict fine-scale species abundances in a highly diverse annual plant community. Our models show a remarkable spatial predictive accuracy using only easy-to-measure variables in the field, yet such predictive power is lost when temporal dynamics are taken into account. This result suggests that predicting future abundances requires longer time series analysis to capture enough variability. In addition, we show that these data-driven models can also suggest how to improve mechanistic models by adding missing variables that affect species performance such as particular soil conditions (e.g. carbonate availability in our case). Robust models for predicting fine-scale species composition informed by the mechanistic understanding of the underlying abiotic and biotic processes can be a pivotal tool for conservation, especially given the human-induced rapid environmental changes we are experiencing. This objective can be achieved by promoting the knowledge gained with classic modelling approaches in ecology and recently developed data-driven models.},
}

Algorithms
Biota/*physiology
Computational Biology
*Machine Learning
*Models, Biological
Plants

@article {pmid35042854,
year = {2022},
author = {Tyrrell, P and Amoke, I and Betjes, K and Broekhuis, F and Buitenwerf, R and Carroll, S and Hahn, N and Haywood, D and Klaassen, B and Løvschal, M and Macdonald, D and Maiyo, K and Mbithi, H and Mwangi, N and Ochola, C and Odire, E and Ondrusek, V and Ratemo, J and Pope, F and Russell, S and Sairowua, W and Sigilai, K and Stabach, JA and Svenning, JC and Stone, E and du Toit, JT and Western, G and Wittemyer, G and Wall, J},
title = {Landscape Dynamics (landDX) an open-access spatial-temporal database for the Kenya-Tanzania borderlands.},
journal = {Scientific data},
volume = {9},
number = {1},
pages = {8},
pmid = {35042854},
issn = {2052-4463},
mesh = {Agriculture ; Animals ; *Animals, Wild ; *Biodiversity ; Conservation of Natural Resources ; Databases, Factual ; *Grassland ; Kenya ; Livestock ; Mammals ; Spatio-Temporal Analysis ; Tanzania ; },
abstract = {The savannas of the Kenya-Tanzania borderland cover >100,000 km2 and is one of the most important regions globally for biodiversity conservation, particularly large mammals. The region also supports >1 million pastoralists and their livestock. In these systems, resources for both large mammals and pastoralists are highly variable in space and time and thus require connected landscapes. However, ongoing fragmentation of (semi-)natural vegetation by smallholder fencing and expansion of agriculture threatens this social-ecological system. Spatial data on fences and agricultural expansion are localized and dispersed among data owners and databases. Here, we synthesized data from several research groups and conservation NGOs and present the first release of the Landscape Dynamics (landDX) spatial-temporal database, covering ~30,000 km2 of southern Kenya. The data includes 31,000 livestock enclosures, nearly 40,000 kilometres of fencing, and 1,500 km2 of agricultural land. We provide caveats and interpretation of the different methodologies used. These data are useful to answer fundamental ecological questions, to quantify the rate of change of ecosystem function and wildlife populations, for conservation and livestock management, and for local and governmental spatial planning.},
}

Agriculture
Animals
*Animals, Wild
*Biodiversity
Conservation of Natural Resources
Databases, Factual
*Grassland
Kenya
Livestock
Mammals
Spatio-Temporal Analysis
Tanzania

@article {pmid35043296,
year = {2022},
author = {Chen, Y and Xiong, K and Ren, X and Cheng, C},
title = {An overview of ecological vulnerability: a bibliometric analysis based on the Web of Science database.},
journal = {Environmental science and pollution research international},
volume = {29},
number = {9},
pages = {12984-12996},
doi = {10.1007/s11356-021-17995-1},
pmid = {35043296},
issn = {1614-7499},
mesh = {*Bibliometrics ; China ; Databases, Factual ; *Efficiency ; },
abstract = {Ecological vulnerability has become one of the hot issues of ecology and environmental science under global change and sustainable development scenarios. However, no study quantitatively analyzes the global scientific performance and hot research areas in this field by adopting the bibliometric method. Based on 935 pieces of literature retrieved from the Web of Science database, we comprehensively analyzed the research on ecological vulnerability in terms of growth trend, research content, publication journal and country, and co-occurrence network of keywords. The results showed that research on ecological vulnerability had experienced rapid growth since 2000, while ecological vulnerability research at the World Heritage sites was still embryonic. The top two productive countries in ecological vulnerability research were America and China, and the top two productive journals were Ecological Indicators and Regional Environmental Change. Study on ecological vulnerability was mainly classified as empirical evaluation and regional synthesis, whereas theoretical research is rare. Based on the summary of the main progress and achievements in ecological vulnerability research, we proposed five scientific issues that remain to be resolved in the field of ecological vulnerability. Overall, this study could shed light on a comprehensive and systematic understanding of ecological vulnerability and provide directions for future research on ecological vulnerability in a rapidly changing world.},
}

*Bibliometrics
China
Databases, Factual
*Efficiency

@article {pmid34674330,
year = {2021},
author = {G Ribeiro, P and Torres Jiménez, MF and Andermann, T and Antonelli, A and Bacon, CD and Matos-Maraví, P},
title = {A bioinformatic platform to integrate target capture and whole genome sequences of various read depths for phylogenomics.},
journal = {Molecular ecology},
volume = {30},
number = {23},
pages = {6021-6035},
doi = {10.1111/mec.16240},
pmid = {34674330},
issn = {1365-294X},
support = {2017-04980//Swedish Research Council/ ; 2019-04739//Swedish Research Council/ ; //Swedish Foundation for Strategic Research/ ; //Royal Botanic Gardens, Kew/ ; GJ20-18566Y//Grant Agency of the Czech Republic/ ; MARIPOSAS-704035//Marie Skłodowska-Curie Fellowship of the European Commission/ ; },
mesh = {*Computational Biology ; *Genome ; High-Throughput Nucleotide Sequencing ; Phylogeny ; Whole Genome Sequencing ; },
abstract = {The increasing availability of short-read whole genome sequencing (WGS) provides unprecedented opportunities to study ecological and evolutionary processes. Although loci of interest can be extracted from WGS data and combined with target sequence data, this requires suitable bioinformatic workflows. Here, we test different assembly and locus extraction strategies and implement them into secapr, a pipeline that processes short-read data into multilocus alignments for phylogenetics and molecular ecology analyses. We integrate the processing of data from low-coverage WGS (<30×) and target sequence capture into a flexible framework, while optimizing de novo contig assembly and loci extraction. Specifically, we test different assembly strategies by contrasting their ability to recover loci from targeted butterfly protein-coding genes, using four data sets: a WGS data set across different average coverages (10×, 5× and 2×) and a data set for which these loci were enriched prior to sequencing via target sequence capture. Using the resulting de novo contigs, we account for potential errors within contigs and infer phylogenetic trees to evaluate the ability of each assembly strategy to recover species relationships. We demonstrate that choosing multiple sizes of kmer simultaneously for assembly results in the highest yield of extracted loci from de novo assembled contigs, while data sets derived from sequencing read depths as low as 5× recovers the expected species relationships in phylogenetic trees. By making the tested assembly approaches available in the secapr pipeline, we hope to inspire future studies to incorporate complementary data and make an informed choice on the optimal assembly strategy.},
}

*Computational Biology
*Genome
High-Throughput Nucleotide Sequencing
Phylogeny
Whole Genome Sequencing

@article {pmid34651181,
year = {2021},
author = {Pekár, S and Wolff, JO and Černecká, Ľ and Birkhofer, K and Mammola, S and Lowe, EC and Fukushima, CS and Herberstein, ME and Kučera, A and Buzzatto, BA and Djoudi, EA and Domenech, M and Enciso, AV and Piñanez Espejo, YMG and Febles, S and García, LF and Gonçalves-Souza, T and Isaia, M and Lafage, D and Líznarová, E and Macías-Hernández, N and Magalhães, I and Malumbres-Olarte, J and Michálek, O and Michalik, P and Michalko, R and Milano, F and Munévar, A and Nentwig, W and Nicolosi, G and Painting, CJ and Pétillon, J and Piano, E and Privet, K and Ramírez, MJ and Ramos, C and Řezáč, M and Ridel, A and Růžička, V and Santos, I and Sentenská, L and Walker, L and Wierucka, K and Zurita, GA and Cardoso, P},
title = {The World Spider Trait database: a centralized global open repository for curated data on spider traits.},
journal = {Database : the journal of biological databases and curation},
volume = {2021},
number = {},
pages = {},
pmid = {34651181},
issn = {1758-0463},
mesh = {Animals ; *Arthropods ; Databases, Factual ; Ecosystem ; Phenotype ; *Spiders/genetics ; },
abstract = {Spiders are a highly diversified group of arthropods and play an important role in terrestrial ecosystems as ubiquitous predators, which makes them a suitable group to test a variety of eco-evolutionary hypotheses. For this purpose, knowledge of a diverse range of species traits is required. Until now, data on spider traits have been scattered across thousands of publications produced for over two centuries and written in diverse languages. To facilitate access to such data, we developed an online database for archiving and accessing spider traits at a global scale. The database has been designed to accommodate a great variety of traits (e.g. ecological, behavioural and morphological) measured at individual, species or higher taxonomic levels. Records are accompanied by extensive metadata (e.g. location and method). The database is curated by an expert team, regularly updated and open to any user. A future goal of the growing database is to include all published and unpublished data on spider traits provided by experts worldwide and to facilitate broad cross-taxon assays in functional ecology and comparative biology. Database URL:https://spidertraits.sci.muni.cz/.},
}

Animals
*Arthropods
Databases, Factual
Ecosystem
Phenotype
*Spiders/genetics

@article {pmid34962958,
year = {2021},
author = {Ren, W and Zhao, J and Ma, X and Wang, X},
title = {Analysis of the spatial differentiation and scale effects of the three-dimensional architectural landscape in Xi'an, China.},
journal = {PloS one},
volume = {16},
number = {12},
pages = {e0261846},
pmid = {34962958},
issn = {1932-6203},
mesh = {*Architecture ; China ; Cities ; *City Planning ; Climate ; Conservation of Natural Resources ; *Ecology ; Ecosystem ; Geographic Information Systems ; Geography ; Models, Theoretical ; Principal Component Analysis ; Software ; Spatial Analysis ; Sustainable Development ; Urban Renewal ; },
abstract = {Three-dimensional landscape patterns are an effective means to study the relationship between landscape pattern evolution and eco-environmental effects. This paper selects six districts in Xi'an as the study area to examine the spatial distribution characteristics of the three-dimensional architectural landscape in the city's main urban area using three-dimensional information on the buildings in 2020 with the support of GIS. In this study, two new architectural landscape indices-landscape height variable coefficient and building rugosity index-were employed in landscape pattern analysis, whilst a system of rigorous and comprehensive three-dimensional architectural landscape metrics was established using principal component analysis. A mathematical model of weighted change of landscape metrics based on the objective weighting method was applied to carry out scale analysis of the landscape patterns. Spatial statistical analysis and spatial autocorrelation analysis were conducted to comprehensively study the differentiation of three-dimensional architectural landscape spatial patterns. The results show that the characteristic scale of the three-dimensional landscape pattern in Xi'an's main urban area is around 8 km. Moreover, the three-dimensional landscape of the buildings in this area is spatially positively correlated, exhibiting a high degree of spatial autocorrelation whilst only showing small spatial differences. The layout of the architectural landscape pattern is disorderly and chaotic within the second ring, whilst the clustering of patch types occurs near the third ring. Moreover, the building density in the Beilin, Lianhu, and Xincheng districts is large, the building height types are rich, and the roughness of the underlying surface is high, such that these are key areas to be improved through urban renewal. The height, volume, density, morphological heterogeneity, and vertical roughness of the architectural landscape vary amongst functional areas within the study area. This paper is the first to apply the study of spatial heterogeneity of three-dimensional landscape patterns to Xi'an. It does so in order to provide a quantitative basis for urban landscape ecological design for urban renewal and the rational planning of built-up areas, which will promote the sustainable development of the city's urban environment.},
}

*Architecture
China
Cities
*City Planning
Climate
Conservation of Natural Resources
*Ecology
Ecosystem
Geographic Information Systems
Geography
Models, Theoretical
Principal Component Analysis
Software
Spatial Analysis
Sustainable Development
Urban Renewal

@article {pmid34396479,
year = {2022},
author = {Karabulut, Aİ and Yazici-Karabulut, B and Derin, P and Yesilnacar, MI and Cullu, MA},
title = {Landfill siting for municipal solid waste using remote sensing and geographic information system integrated analytic hierarchy process and simple additive weighting methods from the point of view of a fast-growing metropolitan area in GAP area of Turkey.},
journal = {Environmental science and pollution research international},
volume = {29},
number = {3},
pages = {4044-4061},
pmid = {34396479},
issn = {1614-7499},
mesh = {Analytic Hierarchy Process ; Geographic Information Systems ; Humans ; *Refuse Disposal ; Remote Sensing Technology ; *Solid Waste ; Turkey ; Waste Disposal Facilities ; },
abstract = {The site selection process for municipal solid wastes (MSW) plays an important role in environmental impact studies by allowing the use of environmental design criteria in city and country planning. This process also includes the subject of urban planning due to its impact on the economy, ecology, and environmental health of the region. Urban growth is a phenomenon that is difficult to stop or limit in line with environmental, social, and economic changes and development. Therefore, the selection of solid waste landfill is of great importance in terms of ensuring a sustainable urban future. In the study, Landsat 5 and Landsat 8 satellite images, base map, soil, and geology maps were used for the integration of geospatial data. Each layer specified in the map has been formed using the spatial analysis potential of the ArcGIS10.5 software. In these digitized layers, weight scoring was made using the comparison matrix and the final suitability map was produced. All digital layers established in the generated maps were arranged according to the analytical hierarchy method (AHP) and subjected to the simple additive weighting (SAW) method. The results indicated that 13.51% of the total area was suitable for a sanitary landfill. As a result of this study, urban growth, population projection, and domestic solid waste volume of Sanliurfa province were determined. According to the 25-year population projection, the population in 2045 was approximately 4,471,938 people, and the cumulative waste volume was 27,415,627 m3. In addition, as a result of accepting the wastes of three metropolitan districts and seven district municipalities to the sanitary landfill, only "first candidate area" is the most and has been deemed appropriate. Given the ecological and environmental challenges (proximity to the city center, etc.) associated with the existing MSW sanitary landfill facility in Sanliurfa, the results of this study show that the geographic information system (GIS) integrated AHP and SAW method is an effective tool to assist decision makers to properly plan towards achieving a sustainable environment.},
}

Analytic Hierarchy Process
Geographic Information Systems
Humans
*Refuse Disposal
Remote Sensing Technology
*Solid Waste
Turkey
Waste Disposal Facilities

@article {pmid35003918,
year = {2021},
author = {La Manna, G and Picciulin, M and Crobu, A and Perretti, F and Ronchetti, F and Manghi, M and Ruiu, A and Ceccherelli, G},
title = {Marine soundscape and fish biophony of a Mediterranean marine protected area.},
journal = {PeerJ},
volume = {9},
number = {},
pages = {e12551},
doi = {10.7717/peerj.12551},
pmid = {35003918},
issn = {2167-8359},
abstract = {Background: Marine soundscape is the aggregation of sound sources known as geophony, biophony, and anthrophony. The soundscape analysis, in terms of collection and analysis of acoustic signals, has been proposed as a tool to evaluate the specific features of ecological assemblages and to estimate their acoustic variability over space and time. This study aimed to characterise the Capo Caccia-Isola Piana Marine Protected Area (Italy, Western Mediterranean Sea) soundscape over short temporal (few days) and spatial scales (few km) and to quantify the main anthropogenic and biological components, with a focus on fish biophonies.

Methods: Within the MPA, three sites were chosen each in a different protection zone (A for the integral protection, B as the partial protection, and C as the general protection). In each site, two underwater autonomous acoustic recorders were deployed in July 2020 at a depth of about 10 m on rocky bottoms. To characterise the contribution of both biophonies and anthrophonies, sea ambient noise (SAN) levels were measured as sound pressure level (SPL dB re: 1 μ Pa-rms) at eight 1/3 octave bands, centred from 125 Hz to 16 kHz, and biological and anthropogenic sounds were noted. Fish sounds were classified and counted following a catalogue of known fish sounds from the Mediterranean Sea based on the acoustic characteristic of sound types. A contemporary fish visual census had been carried out at the test sites.

Results: SPL were different by site, time (day vs. night), and hour. SPLs bands centred at 125, 250, and 500 Hz were significantly higher in the daytime, due to the high number of boats per minute whose noise dominated the soundscapes. The loudest man-made noise was found in the A zone, followed by the B and the C zone, confirming that MPA current regulations do not provide protection from acoustic pollution. The dominant biological components of the MPA soundscape were the impulsive sounds generated by some invertebrates, snapping shrimps and fish. The vast majority of fish sounds were recorded at the MPA site characterized by the highest sound richness, abundance, and Shannon-Wiener index, coherently with the results of a fish visual census. Moreover, the acoustic monitoring detected a sound associated with a cryptic species (Ophidion spp.) never reported in the study area before, further demonstrating the usefulness of passive acoustic monitoring as a complementary technique to species census. This study provides baseline data to detect future changes of the marine soundscapes and some suggestions to reduce the impact of noise on marine biodiversity.},
}

@article {pmid34552242,
year = {2021},
author = {Migliavacca, M and Musavi, T and Mahecha, MD and Nelson, JA and Knauer, J and Baldocchi, DD and Perez-Priego, O and Christiansen, R and Peters, J and Anderson, K and Bahn, M and Black, TA and Blanken, PD and Bonal, D and Buchmann, N and Caldararu, S and Carrara, A and Carvalhais, N and Cescatti, A and Chen, J and Cleverly, J and Cremonese, E and Desai, AR and El-Madany, TS and Farella, MM and Fernández-Martínez, M and Filippa, G and Forkel, M and Galvagno, M and Gomarasca, U and Gough, CM and Göckede, M and Ibrom, A and Ikawa, H and Janssens, IA and Jung, M and Kattge, J and Keenan, TF and Knohl, A and Kobayashi, H and Kraemer, G and Law, BE and Liddell, MJ and Ma, X and Mammarella, I and Martini, D and Macfarlane, C and Matteucci, G and Montagnani, L and Pabon-Moreno, DE and Panigada, C and Papale, D and Pendall, E and Penuelas, J and Phillips, RP and Reich, PB and Rossini, M and Rotenberg, E and Scott, RL and Stahl, C and Weber, U and Wohlfahrt, G and Wolf, S and Wright, IJ and Yakir, D and Zaehle, S and Reichstein, M},
title = {The three major axes of terrestrial ecosystem function.},
journal = {Nature},
volume = {598},
number = {7881},
pages = {468-472},
pmid = {34552242},
issn = {1476-4687},
mesh = {*Carbon Cycle ; Carbon Dioxide/metabolism ; Climate ; Datasets as Topic ; *Ecosystem ; Humidity ; Plants/classification/*metabolism ; Principal Component Analysis ; *Water Cycle ; },
abstract = {The leaf economics spectrum1,2 and the global spectrum of plant forms and functions3 revealed fundamental axes of variation in plant traits, which represent different ecological strategies that are shaped by the evolutionary development of plant species2. Ecosystem functions depend on environmental conditions and the traits of species that comprise the ecological communities4. However, the axes of variation of ecosystem functions are largely unknown, which limits our understanding of how ecosystems respond as a whole to anthropogenic drivers, climate and environmental variability4,5. Here we derive a set of ecosystem functions6 from a dataset of surface gas exchange measurements across major terrestrial biomes. We find that most of the variability within ecosystem functions (71.8%) is captured by three key axes. The first axis reflects maximum ecosystem productivity and is mostly explained by vegetation structure. The second axis reflects ecosystem water-use strategies and is jointly explained by variation in vegetation height and climate. The third axis, which represents ecosystem carbon-use efficiency, features a gradient related to aridity, and is explained primarily by variation in vegetation structure. We show that two state-of-the-art land surface models reproduce the first and most important axis of ecosystem functions. However, the models tend to simulate more strongly correlated functions than those observed, which limits their ability to accurately predict the full range of responses to environmental changes in carbon, water and energy cycling in terrestrial ecosystems7,8.},
}

*Carbon Cycle
Carbon Dioxide/metabolism
Climate
Datasets as Topic
*Ecosystem
Humidity
Plants/classification/*metabolism
Principal Component Analysis
*Water Cycle

@article {pmid34234328,
year = {2021},
author = {Queiroz, N and Humphries, NE and Couto, A and Vedor, M and da Costa, I and Sequeira, AMM and Mucientes, G and Santos, AM and Abascal, FJ and Abercrombie, DL and Abrantes, K and Acuña-Marrero, D and Afonso, AS and Afonso, P and Anders, D and Araujo, G and Arauz, R and Bach, P and Barnett, A and Bernal, D and Berumen, ML and Lion, SB and Bezerra, NPA and Blaison, AV and Block, BA and Bond, ME and Bonfil, R and Braun, CD and Brooks, EJ and Brooks, A and Brown, J and Byrne, ME and Campana, SE and Carlisle, AB and Chapman, DD and Chapple, TK and Chisholm, J and Clarke, CR and Clua, EG and Cochran, JEM and Crochelet, EC and Dagorn, L and Daly, R and Cortés, DD and Doyle, TK and Drew, M and Duffy, CAJ and Erikson, T and Espinoza, E and Ferreira, LC and Ferretti, F and Filmalter, JD and Fischer, GC and Fitzpatrick, R and Fontes, J and Forget, F and Fowler, M and Francis, MP and Gallagher, AJ and Gennari, E and Goldsworthy, SD and Gollock, MJ and Green, JR and Gustafson, JA and Guttridge, TL and Guzman, HM and Hammerschlag, N and Harman, L and Hazin, FHV and Heard, M and Hearn, AR and Holdsworth, JC and Holmes, BJ and Howey, LA and Hoyos, M and Hueter, RE and Hussey, NE and Huveneers, C and Irion, DT and Jacoby, DMP and Jewell, OJD and Johnson, R and Jordan, LKB and Joyce, W and Keating Daly, CA and Ketchum, JT and Klimley, AP and Kock, AA and Koen, P and Ladino, F and Lana, FO and Lea, JSE and Llewellyn, F and Lyon, WS and MacDonnell, A and Macena, BCL and Marshall, H and McAllister, JD and Meÿer, MA and Morris, JJ and Nelson, ER and Papastamatiou, YP and Peñaherrera-Palma, C and Pierce, SJ and Poisson, F and Quintero, LM and Richardson, AJ and Rogers, PJ and Rohner, CA and Rowat, DRL and Samoilys, M and Semmens, JM and Sheaves, M and Shillinger, G and Shivji, M and Singh, S and Skomal, GB and Smale, MJ and Snyders, LB and Soler, G and Soria, M and Stehfest, KM and Thorrold, SR and Tolotti, MT and Towner, A and Travassos, P and Tyminski, JP and Vandeperre, F and Vaudo, JJ and Watanabe, YY and Weber, SB and Wetherbee, BM and White, TD and Williams, S and Zárate, PM and Harcourt, R and Hays, GC and Meekan, MG and Thums, M and Irigoien, X and Eguiluz, VM and Duarte, CM and Sousa, LL and Simpson, SJ and Southall, EJ and Sims, DW},
title = {Reply to: Caution over the use of ecological big data for conservation.},
journal = {Nature},
volume = {595},
number = {7866},
pages = {E20-E28},
pmid = {34234328},
issn = {1476-4687},
mesh = {*Big Data ; Conservation of Natural Resources ; *Ecology ; },
}

*Big Data
Conservation of Natural Resources
*Ecology

@article {pmid34234327,
year = {2021},
author = {Harry, AV and Braccini, JM},
title = {Caution over the use of ecological big data for conservation.},
journal = {Nature},
volume = {595},
number = {7866},
pages = {E17-E19},
pmid = {34234327},
issn = {1476-4687},
mesh = {*Big Data ; Conservation of Natural Resources ; *Ecology ; },
}

*Big Data
Conservation of Natural Resources
*Ecology

@article {pmid34857747,
year = {2021},
author = {Yang, X and Baskin, CC and Baskin, JM and Pakeman, RJ and Huang, Z and Gao, R and Cornelissen, JHC},
title = {Global patterns of potential future plant diversity hidden in soil seed banks.},
journal = {Nature communications},
volume = {12},
number = {1},
pages = {7023},
pmid = {34857747},
issn = {2041-1723},
mesh = {Altitude ; *Biodiversity ; Databases, Factual ; Ecosystem ; *Models, Statistical ; Plant Dispersal/*physiology ; Plants/classification ; Seed Bank ; Seeds/classification/*physiology ; Soil ; },
abstract = {Soil seed banks represent a critical but hidden stock for potential future plant diversity on Earth. Here we compiled and analyzed a global dataset consisting of 15,698 records of species diversity and density for soil seed banks in natural plant communities worldwide to quantify their environmental determinants and global patterns. Random forest models showed that absolute latitude was an important predictor for diversity of soil seed banks. Further, climate and soil were the major determinants of seed bank diversity, while net primary productivity and soil characteristics were the main predictors of seed bank density. Moreover, global mapping revealed clear spatial patterns for soil seed banks worldwide; for instance, low densities may render currently species-rich low latitude biomes (such as tropical rain-forests) less resilient to major disturbances. Our assessment provides quantitative evidence of how environmental conditions shape the distribution of soil seed banks, which enables a more accurate prediction of the resilience and vulnerabilities of plant communities and biomes under global changes.},
}

Altitude
*Biodiversity
Databases, Factual
Ecosystem
*Models, Statistical
Plant Dispersal/*physiology
Plants/classification
Seed Bank
Seeds/classification/*physiology
Soil

@article {pmid34843472,
year = {2021},
author = {Osone, Y and Hashimoto, S and Kenzo, T},
title = {Verification of our empirical understanding of the physiology and ecology of two contrasting plantation species using a trait database.},
journal = {PloS one},
volume = {16},
number = {11},
pages = {e0254599},
pmid = {34843472},
issn = {1932-6203},
mesh = {Chamaecyparis/*physiology ; Climate Change ; Cryptomeria/*physiology ; Databases, Factual ; *Droughts ; *Ecosystem ; *Forests ; Trees ; },
abstract = {The effects of climate change on forest ecosystems take on increasing importance more than ever. Information on plant traits is a powerful predictor of ecosystem dynamics and functioning. We reviewed the major ecological traits, such as foliar gas exchange and nutrients, xylem morphology and drought tolerance, of Cryptomeria japonica and Chamaecyparis obtusa, which are major timber species in East Asia, especially in Japan, by using a recently developed functional trait database for both species (SugiHinokiDB). Empirically, C. obtusa has been planted under drier conditions, whereas C. japonica, which grows faster but thought to be less drought tolerant, has been planted under wetter conditions. Our analysis generally support the empirical knowledge: The maximum photosynthetic rate, stomatal conductance, foliar nutrient content and soil-to-foliage hydraulic conductance were higher in C. japonica than in C. obtusa. In contrast, the foliar turgor loss point and xylem pressure corresponding to 50% conductivity, which indicate drought tolerance, were lower in C. obtusa and are consistent with the drier habitat of C. obtusa. Ontogenetic shifts were also observed; as the age and height of the trees increased, foliar nutrient concentrations, foliar minimum midday water potential and specific leaf area decreased in C. japonica, suggesting that nutrient and water limitation occurs with the growth. In C. obtusa, the ontogenetic shits of these foliar traits were less pronounced. Among the Cupressaceae worldwide, the drought tolerance of C. obtusa, as well as C. japonica, was not as high. This may be related to the fact that the Japanese archipelago has historically not been subjected to strong dryness. The maximum photosynthetic rate showed intermediate values within the family, indicating that C. japonica and C. obtusa exhibit relatively high growth rates in the Cupressaceae family, and this is thought to be the reason why they have been selected as economically suitable timber species in Japanese forestry. This study clearly demonstrated that the plant trait database provides us a promising opportunity to verify out empirical knowledge of plantation management and helps us to understand effect of climate change on plantation forests by using trait-based modelling.},
}

Chamaecyparis/*physiology
Climate Change
Cryptomeria/*physiology
Databases, Factual
*Droughts
*Ecosystem
*Forests
Trees

@article {pmid34556766,
year = {2021},
author = {Kouba, M and Bartoš, L and Bartošová, J and Hongisto, K and Korpimäki, E},
title = {Long-term trends in the body condition of parents and offspring of Tengmalm's owls under fluctuating food conditions and climate change.},
journal = {Scientific reports},
volume = {11},
number = {1},
pages = {18893},
pmid = {34556766},
issn = {2045-2322},
mesh = {Animals ; Climate Change ; Datasets as Topic ; Ecological Parameter Monitoring/*statistics & numerical data ; Female ; Finland ; Forests ; Male ; Physical Fitness/*physiology ; Population Dynamics/statistics & numerical data/trends ; Predatory Behavior ; Reproduction ; Seasons ; Strigiformes/*physiology ; },
abstract = {Physical condition is important for the ability to resist various parasites and diseases as well as in escaping predators thus contributing to reproductive success, over-winter survival and possible declines in wildlife populations. However, in-depth research on trends in body condition is rare because decades-long datasets are not available for a majority of species. We analysed the long-term dataset of offspring covering 34 years, male parents (40 years) and female parents (42 years) to find out whether the decline of Tengmalm's owl population in western Finland is attributable to either decreased adult and/or juvenile body condition in interaction with changing weather conditions and density estimates of main foods. We found that body condition of parent owl males and females declined throughout the 40-year study period whereas the body condition of owlets at the fledging stage very slightly increased. The body condition of parent owls increased with augmenting depth of snow cover in late winter (January to March), and that of offspring improved with increasing precipitation in late spring (May to June). We conclude that the decreasing trend of body condition of parent owl males and females is important factor probably inducing reduced adult survival and reduced reproduction success thus contributing to the long-term decline of the Tengmalm's owl study population. The very slightly increasing trend of body condition of offspring is obviously not able to compensate the overall decline of Tengmalm's owl population, because the number of offspring in turn simultaneously decreased considerably in the long-term. The ongoing climate change appeared to work in opposite ways in this case because declining depth of snow cover will make the situation worse but increased precipitation will improve. We suggest that the main reasons for long-term decline of body condition of parent owls are interactive or additive effects of reduced food resources and increased overall predation risk due to habitat degradation (loss and fragmentation of mature and old-growth forests due to clear-felling) subsequently leading to decline of Tengmalm's owl study population.},
}

Animals
Climate Change
Datasets as Topic
Ecological Parameter Monitoring/*statistics & numerical data
Female
Finland
Forests
Male
Physical Fitness/*physiology
Population Dynamics/statistics & numerical data/trends
Predatory Behavior
Reproduction
Seasons
Strigiformes/*physiology

@article {pmid34938590,
year = {2021},
author = {Latombe, G and Richardson, DM and McGeoch, MA and Altwegg, R and Catford, JA and Chase, JM and Courchamp, F and Esler, KJ and Jeschke, JM and Landi, P and Measey, J and Midgley, GF and Minoarivelo, HO and Rodger, JG and Hui, C},
title = {Mechanistic reconciliation of community and invasion ecology.},
journal = {Ecosphere (Washington, D.C)},
volume = {12},
number = {2},
pages = {e03359},
doi = {10.1002/ecs2.3359},
pmid = {34938590},
issn = {2150-8925},
abstract = {Community and invasion ecology have mostly grown independently. There is substantial overlap in the processes captured by different models in the two fields, and various frameworks have been developed to reduce this redundancy and synthesize information content. Despite broad recognition that community and invasion ecology are interconnected, a process-based framework synthesizing models across these two fields is lacking. Here we review 65 representative community and invasion models and propose a common framework articulated around six processes (dispersal, drift, abiotic interactions, within-guild interactions, cross-guild interactions, and genetic changes). The framework is designed to synthesize the content of the two fields, provide a general perspective on their development, and enable their comparison. The application of this framework and of a novel method based on network theory reveals some lack of coherence between the two fields, despite some historical similarities. Community ecology models are characterized by combinations of multiple processes, likely reflecting the search for an overarching theory to explain community assembly and structure, drawing predominantly on interaction processes, but also accounting largely for the other processes. In contrast, most models in invasion ecology invoke fewer processes and focus more on interactions between introduced species and their novel biotic and abiotic environment. The historical dominance of interaction processes and their independent developments in the two fields is also reflected in the lower level of coherence for models involving interactions, compared to models involving dispersal, drift, and genetic changes. It appears that community ecology, with a longer history than invasion ecology, has transitioned from the search for single explanations for patterns observed in nature to investigate how processes may interact mechanistically, thereby generating and testing hypotheses. Our framework paves the way for a similar transition in invasion ecology, to better capture the dynamics of multiple alien species introduced in complex communities. Reciprocally, applying insights from invasion to community ecology will help us understand and predict the future of ecological communities in the Anthropocene, in which human activities are weakening species' natural boundaries. Ultimately, the successful integration of the two fields could advance a predictive ecology that is urgently required in a rapidly changing world.},
}

@article {pmid33367263,
year = {2020},
author = {Cruzan, MB and Hendrickson, EC},
title = {Landscape Genetics of Plants: Challenges and Opportunities.},
journal = {Plant communications},
volume = {1},
number = {6},
pages = {100100},
pmid = {33367263},
issn = {2590-3462},
mesh = {*Ecosystem ; *Gene Flow ; Genetics, Population/*instrumentation ; Geographic Information Systems/*instrumentation ; Plant Dispersal/*genetics ; Plants/*genetics ; },
abstract = {Dispersal is one of the most important but least understood processes in plant ecology and evolutionary biology. Dispersal of seeds maintains and establishes populations, and pollen and seed dispersal are responsible for gene flow within and among populations. Traditional views of dispersal and gene flow assume models that are governed solely by geographic distance and do not account for variation in dispersal vector behavior in response to heterogenous landscapes. Landscape genetics integrates population genetics with Geographic Information Systems (GIS) to evaluate the effects of landscape features on gene flow patterns (effective dispersal). Surprisingly, relatively few landscape genetic studies have been conducted on plants. Plants present advantages because their populations are stationary, allowing more reliable estimates of the effects of landscape features on effective dispersal rates. On the other hand, plant dispersal is intrinsically complex because it depends on the habitat preferences of the plant and its pollen and seed dispersal vectors. We discuss strategies to assess the separate contributions of pollen and seed movement to effective dispersal and to delineate the effects of plant habitat quality from those of landscape features that affect vector behavior. Preliminary analyses of seed dispersal for three species indicate that isolation by landscape resistance is a better predictor of the rates and patterns of dispersal than geographic distance. Rates of effective dispersal are lower in areas of high plant habitat quality, which may be due to the effects of the shape of the dispersal kernel or to movement behaviors of biotic vectors. Landscape genetic studies in plants have the potential to provide novel insights into the process of gene flow among populations and to improve our understanding of the behavior of biotic and abiotic dispersal vectors in response to heterogeneous landscapes.},
}

*Ecosystem
*Gene Flow
Genetics, Population/*instrumentation
Geographic Information Systems/*instrumentation
Plant Dispersal/*genetics
Plants/*genetics

@article {pmid34921678,
year = {2021},
author = {Allen-Perkins, A and Magrach, A and Dainese, M and Garibaldi, LA and Kleijn, D and Rader, R and Reilly, JR and Winfree, R and Lundin, O and McGrady, CM and Brittain, C and Biddinger, DJ and Artz, DR and Elle, E and Hoffman, G and Ellis, JD and Daniels, J and Gibbs, J and Campbell, JW and Brokaw, J and Wilson, JK and Mason, K and Ward, KL and Gundersen, KB and Bobiwash, K and Gut, L and Rowe, LM and Boyle, NK and Williams, NM and Joshi, NK and Rothwell, N and Gillespie, RL and Isaacs, R and Fleischer, SJ and Peterson, SS and Rao, S and Pitts-Singer, TL and Fijen, T and Boreux, V and Rundlöf, M and Viana, BF and Klein, AM and Smith, HG and Bommarco, R and Carvalheiro, LG and Ricketts, TH and Ghazoul, J and Krishnan, S and Benjamin, FE and Loureiro, J and Castro, S and Raine, NE and de Groot, GA and Horgan, FG and Hipólito, J and Smagghe, G and Meeus, I and Eeraerts, M and Potts, SG and Kremen, C and García, D and Miñarro, M and Crowder, DW and Pisanty, G and Mandelik, Y and Vereecken, NJ and Leclercq, N and Weekers, T and Lindstrom, SAM and Stanley, DA and Zaragoza-Trello, C and Nicholson, CC and Scheper, J and Rad, C and Marks, EAN and Mota, L and Danforth, B and Park, M and Bezerra, ADM and Freitas, BM and Mallinger, RE and da Silva, FO and Willcox, B and Ramos, DL and da Silva E Silva, FD and Lázaro, A and Alomar, D and González-Estévez, MA and Taki, H and Cariveau, DP and Garratt, MPD and Nabaes Jodar, DN and Stewart, RIA and Ariza, D and Pisman, M and Lichtenberg, EM and Schüepp, C and Herzog, F and Entling, MH and Dupont, YL and Michener, CD and Daily, GC and Ehrlich, PR and Burns, KLW and Vilà, M and Robson, A and Howlett, B and Blechschmidt, L and Jauker, F and Schwarzbach, F and Nesper, M and Diekötter, T and Wolters, V and Castro, H and Gaspar, H and Nault, BA and Badenhausser, I and Petersen, JD and Tscharntke, T and Bretagnolle, V and Chan, DSW and Chacoff, N and Andersson, GKS and Jha, S and Colville, JF and Veldtman, R and Coutinho, J and Bianchi, FJJA and Sutter, L and Albrecht, M and Jeanneret, P and Zou, Y and Averill, AL and Saez, A and Sciligo, AR and Vergara, CH and Bloom, EH and Oeller, E and Badano, EI and Loeb, GM and Grab, H and Ekroos, J and Gagic, V and Cunningham, SA and Åström, J and Cavigliasso, P and Trillo, A and Classen, A and Mauchline, AL and Montero-Castaño, A and Wilby, A and Woodcock, BA and Sidhu, CS and Steffan-Dewenter, I and Vogiatzakis, IN and Herrera, JM and Otieno, M and Gikungu, MW and Cusser, SJ and Nauss, T and Nilsson, L and Knapp, J and Ortega-Marcos, JJ and González, JA and Osborne, JL and Blanche, R and Shaw, RF and Hevia, V and Stout, J and Arthur, AD and Blochtein, B and Szentgyorgyi, H and Li, J and Mayfield, MM and Woyciechowski, M and Nunes-Silva, P and de Oliveira, RH and Henry, S and Simmons, BI and Dalsgaard, B and Hansen, K and Sritongchuay, T and O'Reilly, AD and García, FJC and Parra, GN and Pigozo, CM and Bartomeus, I},
title = {CropPol: a dynamic, open and global database on crop pollination.},
journal = {Ecology},
volume = {},
number = {},
pages = {},
doi = {10.1002/ecy.3614},
pmid = {34921678},
issn = {1939-9170},
abstract = {Seventy five percent of the world's food crops benefit from insect pollination. Hence, there has been increased interest in how global change drivers impact this critical ecosystem service. Because standardized data on crop pollination are rarely available, we are limited in our capacity to understand the variation in pollination benefits to crop yield, as well as to anticipate changes in this service, develop predictions, and inform management actions. Here, we present CropPol, a dynamic, open and global database on crop pollination. It contains measurements recorded from 202 crop studies, covering 3,394 field observations, 2,552 yield measurements (i.e. berry weight, number of fruits and kg per hectare, among others), and 47,752 insect records from 48 commercial crops distributed around the globe. CropPol comprises 32 of the 87 leading global crops and commodities that are pollinator dependent. Malus domestica is the most represented crop (32 studies), followed by Brassica napus (22 studies), Vaccinium corymbosum (13 studies), and Citrullus lanatus (12 studies). The most abundant pollinator guilds recorded are honey bees (34.22% counts), bumblebees (19.19%), flies other than Syrphidae and Bombyliidae (13.18%), other wild bees (13.13%), beetles (10.97%), Syrphidae (4.87%), and Bombyliidae (0.05%). Locations comprise 34 countries distributed among Europe (76 studies), Northern America (60), Latin America and the Caribbean (29), Asia (20), Oceania (10), and Africa (7). Sampling spans three decades and is concentrated on 2001-05 (21 studies), 2006-10 (40), 2011-15 (88), and 2016-20 (50). This is the most comprehensive open global data set on measurements of crop flower visitors, crop pollinators and pollination to date, and we encourage researchers to add more datasets to this database in the future. This data set is released for non-commercial use only. Credits should be given to this paper (i.e., proper citation), and the products generated with this database should be shared under the same license terms (CC BY-NC-SA). This article is protected by copyright. All rights reserved.},
}

@article {pmid34648487,
year = {2021},
author = {Grundler, MC and Rabosky, DL},
title = {Rapid increase in snake dietary diversity and complexity following the end-Cretaceous mass extinction.},
journal = {PLoS biology},
volume = {19},
number = {10},
pages = {e3001414},
pmid = {34648487},
issn = {1545-7885},
mesh = {Animals ; *Biodiversity ; Databases as Topic ; *Diet ; *Extinction, Biological ; Models, Biological ; Multivariate Analysis ; Phenotype ; Phylogeny ; Snakes/*physiology ; Time Factors ; },
abstract = {The Cenozoic marked a period of dramatic ecological opportunity in Earth history due to the extinction of non-avian dinosaurs as well as to long-term physiographic changes that created new biogeographic theaters and new habitats. Snakes underwent massive ecological diversification during this period, repeatedly evolving novel dietary adaptations and prey preferences. The evolutionary tempo and mode of these trophic ecological changes remain virtually unknown, especially compared with co-radiating lineages of birds and mammals that are simultaneously predators and prey of snakes. Here, we assemble a dataset on snake diets (34,060 observations on the diets of 882 species) to investigate the history and dynamics of the multidimensional trophic niche during the global radiation of snakes. Our results show that per-lineage dietary niche breadths remained remarkably constant even as snakes diversified to occupy disparate outposts of dietary ecospace. Rapid increases in dietary diversity and complexity occurred in the early Cenozoic, and the overall rate of ecospace expansion has slowed through time, suggesting a potential response to ecological opportunity in the wake of the end-Cretaceous mass extinction. Explosive bursts of trophic innovation followed colonization of the Nearctic and Neotropical realms by a group of snakes that today comprises a majority of living snake diversity. Our results indicate that repeated transformational shifts in dietary ecology are important drivers of adaptive radiation in snakes and provide a framework for analyzing and visualizing the evolution of complex ecological phenotypes on phylogenetic trees.},
}

Animals
*Biodiversity
Databases as Topic
*Diet
*Extinction, Biological
Models, Biological
Multivariate Analysis
Phenotype
Phylogeny
Snakes/*physiology
Time Factors

@article {pmid34593819,
year = {2021},
author = {Falster, D and Gallagher, R and Wenk, EH and Wright, IJ and Indiarto, D and Andrew, SC and Baxter, C and Lawson, J and Allen, S and Fuchs, A and Monro, A and Kar, F and Adams, MA and Ahrens, CW and Alfonzetti, M and Angevin, T and Apgaua, DMG and Arndt, S and Atkin, OK and Atkinson, J and Auld, T and Baker, A and von Balthazar, M and Bean, A and Blackman, CJ and Bloomfield, K and Bowman, DMJS and Bragg, J and Brodribb, TJ and Buckton, G and Burrows, G and Caldwell, E and Camac, J and Carpenter, R and Catford, JA and Cawthray, GR and Cernusak, LA and Chandler, G and Chapman, AR and Cheal, D and Cheesman, AW and Chen, SC and Choat, B and Clinton, B and Clode, PL and Coleman, H and Cornwell, WK and Cosgrove, M and Crisp, M and Cross, E and Crous, KY and Cunningham, S and Curran, T and Curtis, E and Daws, MI and DeGabriel, JL and Denton, MD and Dong, N and Du, P and Duan, H and Duncan, DH and Duncan, RP and Duretto, M and Dwyer, JM and Edwards, C and Esperon-Rodriguez, M and Evans, JR and Everingham, SE and Farrell, C and Firn, J and Fonseca, CR and French, BJ and Frood, D and Funk, JL and Geange, SR and Ghannoum, O and Gleason, SM and Gosper, CR and Gray, E and Groom, PK and Grootemaat, S and Gross, C and Guerin, G and Guja, L and Hahs, AK and Harrison, MT and Hayes, PE and Henery, M and Hochuli, D and Howell, J and Huang, G and Hughes, L and Huisman, J and Ilic, J and Jagdish, A and Jin, D and Jordan, G and Jurado, E and Kanowski, J and Kasel, S and Kellermann, J and Kenny, B and Kohout, M and Kooyman, RM and Kotowska, MM and Lai, HR and Laliberté, E and Lambers, H and Lamont, BB and Lanfear, R and van Langevelde, F and Laughlin, DC and Laugier-Kitchener, BA and Laurance, S and Lehmann, CER and Leigh, A and Leishman, MR and Lenz, T and Lepschi, B and Lewis, JD and Lim, F and Liu, U and Lord, J and Lusk, CH and Macinnis-Ng, C and McPherson, H and Magallón, S and Manea, A and López-Martinez, A and Mayfield, M and McCarthy, JK and Meers, T and van der Merwe, M and Metcalfe, DJ and Milberg, P and Mokany, K and Moles, AT and Moore, BD and Moore, N and Morgan, JW and Morris, W and Muir, A and Munroe, S and Nicholson, Á and Nicolle, D and Nicotra, AB and Niinemets, Ü and North, T and O'Reilly-Nugent, A and O'Sullivan, OS and Oberle, B and Onoda, Y and Ooi, MKJ and Osborne, CP and Paczkowska, G and Pekin, B and Guilherme Pereira, C and Pickering, C and Pickup, M and Pollock, LJ and Poot, P and Powell, JR and Power, SA and Prentice, IC and Prior, L and Prober, SM and Read, J and Reynolds, V and Richards, AE and Richardson, B and Roderick, ML and Rosell, JA and Rossetto, M and Rye, B and Rymer, PD and Sams, MA and Sanson, G and Sauquet, H and Schmidt, S and Schönenberger, J and Schulze, ED and Sendall, K and Sinclair, S and Smith, B and Smith, R and Soper, F and Sparrow, B and Standish, RJ and Staples, TL and Stephens, R and Szota, C and Taseski, G and Tasker, E and Thomas, F and Tissue, DT and Tjoelker, MG and Tng, DYP and de Tombeur, F and Tomlinson, K and Turner, NC and Veneklaas, EJ and Venn, S and Vesk, P and Vlasveld, C and Vorontsova, MS and Warren, CA and Warwick, N and Weerasinghe, LK and Wells, J and Westoby, M and White, M and Williams, NSG and Wills, J and Wilson, PG and Yates, C and Zanne, AE and Zemunik, G and Ziemińska, K},
title = {AusTraits, a curated plant trait database for the Australian flora.},
journal = {Scientific data},
volume = {8},
number = {1},
pages = {254},
pmid = {34593819},
issn = {2052-4463},
support = {FT160100113//Department of Education and Training | Australian Research Council (ARC)/ ; DE170100208//Department of Education and Training | Australian Research Council (ARC)/ ; },
mesh = {Australia ; *Databases, Factual ; *Phenotype ; Plant Physiological Phenomena ; *Plants ; },
abstract = {We introduce the AusTraits database - a compilation of values of plant traits for taxa in the Australian flora (hereafter AusTraits). AusTraits synthesises data on 448 traits across 28,640 taxa from field campaigns, published literature, taxonomic monographs, and individual taxon descriptions. Traits vary in scope from physiological measures of performance (e.g. photosynthetic gas exchange, water-use efficiency) to morphological attributes (e.g. leaf area, seed mass, plant height) which link to aspects of ecological variation. AusTraits contains curated and harmonised individual- and species-level measurements coupled to, where available, contextual information on site properties and experimental conditions. This article provides information on version 3.0.2 of AusTraits which contains data for 997,808 trait-by-taxon combinations. We envision AusTraits as an ongoing collaborative initiative for easily archiving and sharing trait data, which also provides a template for other national or regional initiatives globally to fill persistent gaps in trait knowledge.},
}

Australia
*Databases, Factual
*Phenotype
Plant Physiological Phenomena
*Plants

@article {pmid34219394,
year = {2021},
author = {Pauling, CD and Finke, DL and Anderson, DM},
title = {Interrelationship of soil moisture and temperature to sylvatic plague cycle among prairie dogs in the Western United States.},
journal = {Integrative zoology},
volume = {16},
number = {6},
pages = {852-867},
doi = {10.1111/1749-4877.12567},
pmid = {34219394},
issn = {1749-4877},
support = {//University of Missouri Research and Creative Works Program/ ; },
mesh = {Animals ; Climate Change ; Databases, Factual ; Plague/epidemiology/*veterinary ; Rodent Diseases/epidemiology/*microbiology ; Sciuridae/*microbiology ; Soil/*chemistry ; *Temperature ; United States/epidemiology ; Water/*chemistry ; Yersinia pestis/physiology ; },
abstract = {Plague, caused by Yersinia pestis, is a flea-borne disease that is endemic in areas throughout the world due to its successful maintenance in a sylvatic cycle, mainly in areas with temperate climates. Burrowing rodents are thought to play a key role in the enzootic maintenance as well as epizootic outbreaks of plague. In the United States, prairie dogs (Cynomys), rodents (Muridae), and ground squirrels (Spermophilus) are susceptible to infection and are parasitized by fleas that transmit plague. In particular, prairie dogs can experience outbreaks that rapidly spread, which can lead to extirpation of colonies. A number of ecological parameters, including climate, are associated with these epizootics. In this study, we asked whether soil parameters, primarily moisture and temperature, are associated with outbreaks of plague in black-tailed prairie dogs and Gunnison's prairie dogs in the Western United States, and at what depth these associations were apparent. We collected publicly available county-level information on the occurrence of population declines or colony extirpation, while historical soil data was collected from SCAN and USCRN stations in counties and states where prairie dogs have been located. The analysis suggests that soil moisture at lower depths correlates with colony die-offs, in addition to temperature near the surface, with key differences within the landscape ecology that impact the occurrence of plague. Overall, the model suggests that the burrow environment may play a significant role in the epizootic spread of disease amongst black-tailed and Gunnison's prairie dogs.},
}

Animals
Climate Change
Databases, Factual
Plague/epidemiology/*veterinary
Rodent Diseases/epidemiology/*microbiology
Sciuridae/*microbiology
Soil/*chemistry
*Temperature
United States/epidemiology
Water/*chemistry
Yersinia pestis/physiology

@article {pmid33888580,
year = {2021},
author = {Everson, KM and Gray, LN and Jones, AG and Lawrence, NM and Foley, ME and Sovacool, KL and Kratovil, JD and Hotaling, S and Hime, PM and Storfer, A and Parra-Olea, G and Percino-Daniel, R and Aguilar-Miguel, X and O'Neill, EM and Zambrano, L and Shaffer, HB and Weisrock, DW},
title = {Geography is more important than life history in the recent diversification of the tiger salamander complex.},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
volume = {118},
number = {17},
pages = {},
pmid = {33888580},
issn = {1091-6490},
support = {T32 GM070449/GM/NIGMS NIH HHS/United States ; },
mesh = {Ambystoma/*genetics/*metabolism ; Ambystoma mexicanum/genetics ; Animals ; Databases, Genetic ; Gene Flow ; Genetics, Population/methods ; Geography ; Larva/genetics ; Metamorphosis, Biological/genetics ; North America ; Phylogeny ; },
abstract = {The North American tiger salamander species complex, including its best-known species, the Mexican axolotl, has long been a source of biological fascination. The complex exhibits a wide range of variation in developmental life history strategies, including populations and individuals that undergo metamorphosis; those able to forego metamorphosis and retain a larval, aquatic lifestyle (i.e., paedomorphosis); and those that do both. The evolution of a paedomorphic life history state is thought to lead to increased population genetic differentiation and ultimately reproductive isolation and speciation, but the degree to which it has shaped population- and species-level divergence is poorly understood. Using a large multilocus dataset from hundreds of samples across North America, we identified genetic clusters across the geographic range of the tiger salamander complex. These clusters often contain a mixture of paedomorphic and metamorphic taxa, indicating that geographic isolation has played a larger role in lineage divergence than paedomorphosis in this system. This conclusion is bolstered by geography-informed analyses indicating no effect of life history strategy on population genetic differentiation and by model-based population genetic analyses demonstrating gene flow between adjacent metamorphic and paedomorphic populations. This fine-scale genetic perspective on life history variation establishes a framework for understanding how plasticity, local adaptation, and gene flow contribute to lineage divergence. Many members of the tiger salamander complex are endangered, and the Mexican axolotl is an important model system in regenerative and biomedical research. Our results chart a course for more informed use of these taxa in experimental, ecological, and conservation research.},
}

Ambystoma/*genetics/*metabolism
Ambystoma mexicanum/genetics
Animals
Databases, Genetic
Gene Flow
Genetics, Population/methods
Geography
Larva/genetics
Metamorphosis, Biological/genetics
North America
Phylogeny

@article {pmid33860294,
year = {2021},
author = {Schweizer, RM and Saarman, N and Ramstad, KM and Forester, BR and Kelley, JL and Hand, BK and Malison, RL and Ackiss, AS and Watsa, M and Nelson, TC and Beja-Pereira, A and Waples, RS and Funk, WC and Luikart, G},
title = {Big Data in Conservation Genomics: Boosting Skills, Hedging Bets, and Staying Current in the Field.},
journal = {The Journal of heredity},
volume = {112},
number = {4},
pages = {313-327},
doi = {10.1093/jhered/esab019},
pmid = {33860294},
issn = {1465-7333},
support = {DOB-1639014//National Science Foundation/ ; IOS-NSF 1755411//National Science Foundation/ ; },
mesh = {*Big Data ; Biological Evolution ; *Conservation of Natural Resources ; Genetics, Population ; Genomics ; Humans ; },
abstract = {A current challenge in the fields of evolutionary, ecological, and conservation genomics is balancing production of large-scale datasets with additional training often required to handle such datasets. Thus, there is an increasing need for conservation geneticists to continually learn and train to stay up-to-date through avenues such as symposia, meetings, and workshops. The ConGen meeting is a near-annual workshop that strives to guide participants in understanding population genetics principles, study design, data processing, analysis, interpretation, and applications to real-world conservation issues. Each year of ConGen gathers a diverse set of instructors, students, and resulting lectures, hands-on sessions, and discussions. Here, we summarize key lessons learned from the 2019 meeting and more recent updates to the field with a focus on big data in conservation genomics. First, we highlight classical and contemporary issues in study design that are especially relevant to working with big datasets, including the intricacies of data filtering. We next emphasize the importance of building analytical skills and simulating data, and how these skills have applications within and outside of conservation genetics careers. We also highlight recent technological advances and novel applications to conservation of wild populations. Finally, we provide data and recommendations to support ongoing efforts by ConGen organizers and instructors-and beyond-to increase participation of underrepresented minorities in conservation and eco-evolutionary sciences. The future success of conservation genetics requires both continual training in handling big data and a diverse group of people and approaches to tackle key issues, including the global biodiversity-loss crisis.},
}

*Big Data
Biological Evolution
*Conservation of Natural Resources
Genetics, Population
Genomics
Humans

@article {pmid34877561,
year = {2021},
author = {Wang, F and Harindintwali, JD and Yuan, Z and Wang, M and Wang, F and Li, S and Yin, Z and Huang, L and Fu, Y and Li, L and Chang, SX and Zhang, L and Rinklebe, J and Yuan, Z and Zhu, Q and Xiang, L and Tsang, DCW and Xu, L and Jiang, X and Liu, J and Wei, N and Kästner, M and Zou, Y and Ok, YS and Shen, J and Peng, D and Zhang, W and Barceló, D and Zhou, Y and Bai, Z and Li, B and Zhang, B and Wei, K and Cao, H and Tan, Z and Zhao, LB and He, X and Zheng, J and Bolan, N and Liu, X and Huang, C and Dietmann, S and Luo, M and Sun, N and Gong, J and Gong, Y and Brahushi, F and Zhang, T and Xiao, C and Li, X and Chen, W and Jiao, N and Lehmann, J and Zhu, YG and Jin, H and Schäffer, A and Tiedje, JM and Chen, JM},
title = {Technologies and perspectives for achieving carbon neutrality.},
journal = {Innovation (New York, N.Y.)},
volume = {2},
number = {4},
pages = {100180},
doi = {10.1016/j.xinn.2021.100180},
pmid = {34877561},
issn = {2666-6758},
abstract = {Global development has been heavily reliant on the overexploitation of natural resources since the Industrial Revolution. With the extensive use of fossil fuels, deforestation, and other forms of land-use change, anthropogenic activities have contributed to the ever-increasing concentrations of greenhouse gases (GHGs) in the atmosphere, causing global climate change. In response to the worsening global climate change, achieving carbon neutrality by 2050 is the most pressing task on the planet. To this end, it is of utmost importance and a significant challenge to reform the current production systems to reduce GHG emissions and promote the capture of CO2 from the atmosphere. Herein, we review innovative technologies that offer solutions achieving carbon (C) neutrality and sustainable development, including those for renewable energy production, food system transformation, waste valorization, C sink conservation, and C-negative manufacturing. The wealth of knowledge disseminated in this review could inspire the global community and drive the further development of innovative technologies to mitigate climate change and sustainably support human activities.},
}

@article {pmid34834835,
year = {2021},
author = {Love, NLR and Bonnet, P and Goëau, H and Joly, A and Mazer, SJ},
title = {Machine Learning Undercounts Reproductive Organs on Herbarium Specimens but Accurately Derives Their Quantitative Phenological Status: A Case Study of Streptanthus tortuosus.},
journal = {Plants (Basel, Switzerland)},
volume = {10},
number = {11},
pages = {},
doi = {10.3390/plants10112471},
pmid = {34834835},
issn = {2223-7747},
abstract = {Machine learning (ML) can accelerate the extraction of phenological data from herbarium specimens; however, no studies have assessed whether ML-derived phenological data can be used reliably to evaluate ecological patterns. In this study, 709 herbarium specimens representing a widespread annual herb, Streptanthus tortuosus, were scored both manually by human observers and by a mask R-CNN object detection model to (1) evaluate the concordance between ML and manually-derived phenological data and (2) determine whether ML-derived data can be used to reliably assess phenological patterns. The ML model generally underestimated the number of reproductive structures present on each specimen; however, when these counts were used to provide a quantitative estimate of the phenological stage of plants on a given sheet (i.e., the phenological index or PI), the ML and manually-derived PI's were highly concordant. Moreover, herbarium specimen age had no effect on the estimated PI of a given sheet. Finally, including ML-derived PIs as predictor variables in phenological models produced estimates of the phenological sensitivity of this species to climate, temporal shifts in flowering time, and the rate of phenological progression that are indistinguishable from those produced by models based on data provided by human observers. This study demonstrates that phenological data extracted using machine learning can be used reliably to estimate the phenological stage of herbarium specimens and to detect phenological patterns.},
}

@article {pmid34182782,
year = {2021},
author = {Murareanu, BM and Sukhdeo, R and Qu, R and Jiang, J and Reinke, AW},
title = {Generation of a Microsporidia Species Attribute Database and Analysis of the Extensive Ecological and Phenotypic Diversity of Microsporidia.},
journal = {mBio},
volume = {12},
number = {3},
pages = {e0149021},
pmid = {34182782},
issn = {2150-7511},
mesh = {Animals ; *Databases, Factual ; *Ecology ; *Genetic Variation ; Host Specificity ; Humans ; Microsporidia/classification/*genetics ; *Phenotype ; },
abstract = {Microsporidia are a large group of fungus-related obligate intracellular parasites. Though many microsporidia species have been identified over the past 160 years, depiction of the full diversity of this phylum is lacking. To systematically describe the characteristics of these parasites, we created a database of 1,440 species and their attributes, including the hosts they infect and spore characteristics. We find that microsporidia have been reported to infect 16 metazoan and 4 protozoan phyla, with smaller phyla being underrepresented. Most species are reported to infect only a single host, but those that are generalists are also more likely to infect a broader set of host tissues. Strikingly, polar tubes are threefold longer in species that infect tissues besides the intestine, suggesting that polar tube length is a determinant of tissue specificity. Phylogenetic analysis revealed four clades which each contain microsporidia that infect hosts from all major habitats. Although related species are more likely to infect similar hosts, we observe examples of changes in host specificity and convergent evolution. Taken together, our results show that microsporidia display vast diversity in their morphology and the hosts they infect, illustrating the flexibility of these parasites to evolve new traits. IMPORTANCE Microsporidia are a large group of parasites that cause death and disease in humans and many agriculturally important animal species. To fully understand the diverse properties of these parasites, we curated species reports from the last 160 years. Using these data, we describe when and where microsporidia were identified and what types of animals and host tissues these parasites infect. Microsporidia infect hosts using a conserved apparatus known as the polar tube. We observe that the length of this tube is correlated with the tissues that are being infected, suggesting that the polar tube controls where within the animals that the parasite infects. Finally, we show that microsporidia species often exist in multiple environments and are flexible in their ability to evolve new traits. Our study provides insight into the ecology and evolution of microsporidia and provides a useful resource to further understand these fascinating parasites.},
}

Animals
*Databases, Factual
*Ecology
*Genetic Variation
Host Specificity
Humans
Microsporidia/classification/*genetics
*Phenotype

@article {pmid34785977,
year = {2021},
author = {Chamanara, J and Gaikwad, J and Gerlach, R and Algergawy, A and Ostrowski, A and König-Ries, B},
title = {BEXIS2: A FAIR-aligned data management system for biodiversity, ecology and environmental data.},
journal = {Biodiversity data journal},
volume = {9},
number = {},
pages = {e72901},
doi = {10.3897/BDJ.9.e72901},
pmid = {34785977},
issn = {1314-2828},
abstract = {Background: Obtaining fit-to-use data associated with diverse aspects of biodiversity, ecology and environment is challenging since often it is fragmented, sub-optimally managed and available in heterogeneous formats. Recently, with the universal acceptance of the FAIR data principles, the requirements and standards of data publications have changed substantially. Researchers are encouraged to manage the data as per the FAIR data principles and ensure that the raw data, metadata, processed data, software, codes and associated material are securely stored and the data be made available with the completion of the research.

New information: We have developed BEXIS2 as an open-source community-driven web-based research data management system to support research data management needs of mid to large-scale research projects with multiple sub-projects and up to several hundred researchers. BEXIS2 is a modular and extensible system providing a range of functions to realise the complete data lifecycle from data structure design to data collection, data discovery, dissemination, integration, quality assurance and research planning. It is an extensible and customisable system that allows for the development of new functions and customisation of its various components from database schemas to the user interface layout, elements and look and feel.During the development of BEXIS2, we aimed to incorporate key aspects of what is encoded in FAIR data principles. To investigate the extent to which BEXIS2 conforms to these principles, we conducted the self-assessment using the FAIR indicators, definitions and criteria provided in the FAIR Data Maturity Model. Even though the FAIR data maturity model is developed initially to judge the conformance of datasets, the self-assessment results indicated that BEXIS2 remarkably conforms and supports FAIR indicators. BEXIS2 strongly conforms to the indicators Findability and Accessibility. The indicator Interoperability is moderately supported as of now; however, for many of the lesssupported facets, we have concrete plans for improvement. Reusability (as defined by the FAIR data principles) is partially achieved.This paper also illustrates community deployment examples of the BEXIS2 instances as success stories to exemplify its capacity to meet the biodiversity and ecological data management needs of differently sized projects and serve as an organisational research data management system.},
}

@article {pmid34776776,
year = {2021},
author = {Ambarlı, D and Simons, NK and Wehner, K and Kämper, W and Gossner, MM and Nauss, T and Neff, F and Seibold, S and Weisser, W and Blüthgen, N},
title = {Animal-Mediated Ecosystem Process Rates in Forests and Grasslands are Affected by Climatic Conditions and Land-Use Intensity.},
journal = {Ecosystems (New York, N.Y.)},
volume = {24},
number = {2},
pages = {467-483},
doi = {10.1007/s10021-020-00530-7},
pmid = {34776776},
issn = {1432-9840},
abstract = {Decomposition, vegetation regeneration, and biological control are essential ecosystem functions, and animals are involved in the underlying processes, such as dung removal, seed removal, herbivory, and predation. Despite evidence for declines of animal diversity and abundance due to climate change and land-use intensification, we poorly understand how animal-mediated processes respond to these global change drivers. We experimentally measured rates of four ecosystem processes in 134 grassland and 149 forest plots in Germany and tested their response to climatic conditions and land-use intensity, that is, grazing, mowing, and fertilization in grasslands and the proportion of harvested wood, non-natural trees, and deadwood origin in forests. For both climate and land use, we distinguished between short-term effects during the survey period and medium-term effects during the preceding years. Forests had significantly higher process rates than grasslands. In grasslands, the climatic effects on the process rates were similar or stronger than land-use effects, except for predation; land-use intensity negatively affected several process rates. In forests, the land-use effects were more pronounced than the climatic effects on all processes except for predation. The proportion of non-natural trees had the greatest impact on the process rates in forests. The proportion of harvested wood had negative effects, whereas the proportion of anthropogenic deadwood had positive effects on some processes. The effects of climatic conditions and land-use intensity on process rates mirror climatic and habitat effects on animal abundance, activity, and resource quality. Our study demonstrates that land-use changes and interventions affecting climatic conditions will have substantial impacts on animal-mediated ecosystem processes.},
}

@article {pmid34319970,
year = {2021},
author = {Rubin, IN and Ispolatov, I and Doebeli, M},
title = {Evolution to alternative levels of stable diversity leaves areas of niche space unexplored.},
journal = {PLoS computational biology},
volume = {17},
number = {7},
pages = {e1008650},
pmid = {34319970},
issn = {1553-7358},
mesh = {*Biodiversity ; *Biological Evolution ; Computational Biology ; *Ecosystem ; Genetic Fitness ; *Models, Biological ; Mutation ; },
abstract = {One of the oldest and most persistent questions in ecology and evolution is whether natural communities tend to evolve toward saturation and maximal diversity. Robert MacArthur's classical theory of niche packing and the theory of adaptive radiations both imply that populations will diversify and fully partition any available niche space. However, the saturation of natural populations is still very much an open area of debate and investigation. Additionally, recent evolutionary theory suggests the existence of alternative evolutionary stable states (ESSs), which implies that some stable communities may not be fully saturated. Using models with classical Lotka-Volterra ecological dynamics and three formulations of evolutionary dynamics (a model using adaptive dynamics, an individual-based model, and a partial differential equation model), we show that following an adaptive radiation, communities can often get stuck in low diversity states when limited by mutations of small phenotypic effect. These low diversity metastable states can also be maintained by limited resources and finite population sizes. When small mutations and finite populations are considered together, it is clear that despite the presence of higher-diversity stable states, natural populations are likely not fully saturating their environment and leaving potential niche space unfilled. Additionally, within-species variation can further reduce community diversity from levels predicted by models that assume species-level homogeneity.},
}

*Biodiversity
*Biological Evolution
Computational Biology
*Ecosystem
Genetic Fitness
*Models, Biological
Mutation

@article {pmid33828196,
year = {2021},
author = {Spiesman, BJ and Gratton, C and Hatfield, RG and Hsu, WH and Jepsen, S and McCornack, B and Patel, K and Wang, G},
title = {Assessing the potential for deep learning and computer vision to identify bumble bee species from images.},
journal = {Scientific reports},
volume = {11},
number = {1},
pages = {7580},
pmid = {33828196},
issn = {2045-2322},
mesh = {Animals ; *Artificial Intelligence ; Bees/*anatomy & histology/*classification ; Conservation of Natural Resources ; Databases, Factual ; *Deep Learning ; Ecosystem ; Image Processing, Computer-Assisted ; Neural Networks, Computer ; North America ; Pigmentation ; Pollination ; Species Specificity ; },
abstract = {Pollinators are undergoing a global decline. Although vital to pollinator conservation and ecological research, species-level identification is expensive, time consuming, and requires specialized taxonomic training. However, deep learning and computer vision are providing ways to open this methodological bottleneck through automated identification from images. Focusing on bumble bees, we compare four convolutional neural network classification models to evaluate prediction speed, accuracy, and the potential of this technology for automated bee identification. We gathered over 89,000 images of bumble bees, representing 36 species in North America, to train the ResNet, Wide ResNet, InceptionV3, and MnasNet models. Among these models, InceptionV3 presented a good balance of accuracy (91.6%) and average speed (3.34 ms). Species-level error rates were generally smaller for species represented by more training images. However, error rates also depended on the level of morphological variability among individuals within a species and similarity to other species. Continued development of this technology for automatic species identification and monitoring has the potential to be transformative for the fields of ecology and conservation. To this end, we present BeeMachine, a web application that allows anyone to use our classification model to identify bumble bees in their own images.},
}

Animals
*Artificial Intelligence
Bees/*anatomy & histology/*classification
Conservation of Natural Resources
Databases, Factual
*Deep Learning
Ecosystem
Image Processing, Computer-Assisted
Neural Networks, Computer
North America
Pigmentation
Pollination
Species Specificity

@article {pmid34638623,
year = {2021},
author = {Hafeez, M and Li, X and Ullah, F and Zhang, Z and Zhang, J and Huang, J and Khan, MM and Chen, L and Ren, X and Zhou, S and Fernández-Grandon, GM and Zalucki, MP and Lu, Y},
title = {Behavioral and Physiological Plasticity Provides Insights into Molecular Based Adaptation Mechanism to Strain Shift in Spodoptera frugiperda.},
journal = {International journal of molecular sciences},
volume = {22},
number = {19},
pages = {},
pmid = {34638623},
issn = {1422-0067},
support = {2020C02003//The Key R&D Program of Zhejiang Province/ ; 233952//China National Postdoctoral Science foundation/ ; },
mesh = {Adaptation, Physiological/genetics ; Animals ; China ; Crops, Agricultural/parasitology ; Digestive System Physiological Phenomena ; Feeding Behavior/physiology ; Female ; Gene Ontology ; Genes, Insect ; Herbivory/genetics/physiology ; Host Adaptation/genetics/physiology ; Host Specificity/genetics/physiology ; Host-Parasite Interactions/genetics/physiology ; Larva/physiology ; Male ; Oryza/parasitology ; Oviposition/physiology ; Spodoptera/*genetics/pathogenicity/*physiology ; Transcriptome ; Zea mays/parasitology ; },
abstract = {How herbivorous insects adapt to host plants is a key question in ecological and evolutionary biology. The fall armyworm, (FAW) Spodoptera frugiperda (J.E. Smith), although polyphagous and a major pest on various crops, has been reported to have a rice and corn (maize) feeding strain in its native range in the Americas. The species is highly invasive and has recently established in China. We compared behavioral changes in larvae and adults of a corn population (Corn) when selected on rice (Rice) and the molecular basis of these adaptational changes in midgut and antennae based on a comparative transcriptome analysis. Larvae of S. frugiperda reared on rice plants continuously for 20 generations exhibited strong feeding preference for with higher larval performance and pupal weight on rice than on maize plants. Similarly, females from the rice selected population laid significantly more eggs on rice as compared to females from maize population. The most highly expressed DEGs were shown in the midgut of Rice vs. Corn. A total of 6430 DEGs were identified between the populations mostly in genes related to digestion and detoxification. These results suggest that potential adaptations for feeding on rice crops, may contribute to the current rapid spread of fall armyworm on rice crops in China and potentially elsewhere. Consistently, highly expressed DEGs were also shown in antennae; a total of 5125 differentially expressed genes (DEGs) s were identified related to the expansions of major chemosensory genes family in Rice compared to the Corn feeding population. These results not only provide valuable insight into the molecular mechanisms in host plants adaptation of S. frugiperda but may provide new gene targets for the management of this pest.},
}

Adaptation, Physiological/genetics
Animals
China
Crops, Agricultural/parasitology
Digestive System Physiological Phenomena
Feeding Behavior/physiology
Female
Gene Ontology
Genes, Insect
Herbivory/genetics/physiology
Host Adaptation/genetics/physiology
Host Specificity/genetics/physiology
Host-Parasite Interactions/genetics/physiology
Larva/physiology
Male
Oryza/parasitology
Oviposition/physiology
Spodoptera/*genetics/pathogenicity/*physiology
Transcriptome
Zea mays/parasitology

@article {pmid33818967,
year = {2021},
author = {Navidpour, S and Jahanifard, E and Hosseini-Vasoukolaei, N},
title = {Species Composition and Spatial Distribution of Scorpions Based on Eco-Environmental Variables in Provinces Along with the Oman Sea and the Persian Gulf in Iran: A GIS-Based Approach.},
journal = {Archives of Razi Institute},
volume = {76},
number = {1},
pages = {149-160},
pmid = {33818967},
issn = {2008-9872},
mesh = {Animals ; *Geographic Information Systems ; Indian Ocean ; Iran/epidemiology ; Oman ; *Scorpions ; Species Specificity ; },
abstract = {Scorpions are venomous arachnids with major medical health importance in Iran, specifically in the Southwest. In total, three families of scorpions, including Scorpionidae, Hemiscorpiidae, and Buthidae were reported in Iran. This study was conducted on scorpion ecology to determine the species composition and the dispersion of scorpions based on the ecological and environmental variables in combination with the Geographic Information System (GIS) in Khuzestan, Hormozgan, and Bushehr Provinces along with the Oman Sea and the Persian Gulf in Iran. Scorpions were collected from Hormozgan, Khuzestan, and Bushehr Provinces, Iran using the Ultra Violet light. The specimens were then identified according to their morphological characters utilizing reliable keys. To determine the relationship between the eco-environmental variables and the spatial distribution of species, the GPS points of the collected scorpions were recorded, and the scorpion shapefile was overlaid on digital elevation model, slope, land use, temperature, rainfall, soil texture, and bioclimatic maps. Totally, 25 specimens were reported in three families of Scorpionidae, Hemiscorpiidae, and Buthidae. Furthermore, Razianus zarudnyi, Androctonus crassicauda, Buthacus macrocentrus, Mesobuthus eupeus phillipsii, Odontobuthus bidentatus, and Hemiscorpius lepturus were the common species collected from Hormozgan, Khuzestan, and Bushehr Provinces, Iran. The results of the current study showed that a large number of species preferred the sand texture due to ecomorphological adaptation. Moreover, the poor rangeland vegetation cover was preferred by the majority of the scorpion species, including S. maurus townsendi. According to the results, the combination of the ecological factors related to the suitable habitat of different species of scorpion and GIS will provide the dispersal areas of each species. Furthermore, such databases can be comprehensive and valuable guides for health authorities to reduce and manage scorpion envenomation.},
}

Animals
*Geographic Information Systems
Indian Ocean
Iran/epidemiology
Oman
*Scorpions
Species Specificity

@article {pmid33662005,
year = {2021},
author = {Jansson, S and Malmqvist, E and Mlacha, Y and Ignell, R and Okumu, F and Killeen, G and Kirkeby, C and Brydegaard, M},
title = {Real-time dispersal of malaria vectors in rural Africa monitored with lidar.},
journal = {PloS one},
volume = {16},
number = {3},
pages = {e0247803},
pmid = {33662005},
issn = {1932-6203},
mesh = {Africa/epidemiology ; Animals ; Anopheles/*physiology ; Environmental Monitoring/*methods ; Female ; Geographic Information Systems/*standards ; Malaria/*diagnosis/epidemiology/prevention & control/transmission ; Male ; Mosquito Vectors/*parasitology ; Rural Population/*statistics & numerical data ; },
abstract = {Lack of tools for detailed, real-time observation of mosquito behavior with high spatio-temporal resolution limits progress towards improved malaria vector control. We deployed a high-resolution entomological lidar to monitor a half-kilometer static transect positioned over rice fields outside a Tanzanian village. A quarter of a million in situ insect observations were classified, and several insect taxa were identified based on their modulation signatures. We observed distinct range distributions of male and female mosquitoes in relation to the village periphery, and spatio-temporal behavioral features, such as swarming. Furthermore, we observed that the spatial distributions of males and females change independently of each other during the day, and were able to estimate the daily dispersal of mosquitoes towards and away from the village. The findings of this study demonstrate how lidar-based monitoring could dramatically improve our understanding of malaria vector ecology and control options.},
}

Africa/epidemiology
Animals
Anopheles/*physiology
Environmental Monitoring/*methods
Female
Geographic Information Systems/*standards
Malaria/*diagnosis/epidemiology/prevention & control/transmission
Male
Mosquito Vectors/*parasitology
Rural Population/*statistics & numerical data

@article {pmid34634737,
year = {2021},
author = {Wang, X and Zhang, C and Wang, C and Liu, G and Wang, H},
title = {GIS-based for prediction and prevention of environmental geological disaster susceptibility: From a perspective of sustainable development.},
journal = {Ecotoxicology and environmental safety},
volume = {226},
number = {},
pages = {112881},
doi = {10.1016/j.ecoenv.2021.112881},
pmid = {34634737},
issn = {1090-2414},
mesh = {China ; Cities ; *Disasters ; Environment ; *Geographic Information Systems ; Humans ; Sustainable Development ; },
abstract = {Geological disasters seriously threaten the safety of human life, property, ecological resources, and the environment. Effective control of geological disasters is the focus of achieving sustainable social development. The Helong City (Jilin Province, China) was selected as the case study. Combined with GIS technology, a new integrated prediction model of geological disaster susceptibility was developed to improve the accuracy of geological disaster assessment, reduce the cost of geological disaster treatment, and ensure the sustainable development of ecological environment. The research results showed that elevation and normalized difference vegetation index (NDVI) were the key factors affecting susceptibility. Compared with the conventional model, the accuracy of the developing integrated model FR-DT and FR-RF was improved by more than 6%, and the disaster points were more concentrated in the high susceptibility zone. Statistical results of disaster treatment cost estimation and gross domestic product (GDP) value showed that the integrated model can save about 10% of treatment cost, and the ratio of total GDP/disaster governance cost was higher. The performance of the integrated model FR-DT and FR-RF had obvious advantages over the conventional model in terms of prediction accuracy, prevention pertinence, and prevention cost. These research results promote the advancement of geological disaster prevention and control technology, ensure the safety of the geological environment, and are of great significance to the sustainable development of the regional economy.},
}

China
Cities
*Disasters
Environment
*Geographic Information Systems
Humans
Sustainable Development

@article {pmid34608637,
year = {2021},
author = {Freschet, GT and Pagès, L and Iversen, CM and Comas, LH and Rewald, B and Roumet, C and Klimešová, J and Zadworny, M and Poorter, H and Postma, JA and Adams, TS and Bagniewska-Zadworna, A and Bengough, AG and Blancaflor, EB and Brunner, I and Cornelissen, JHC and Garnier, E and Gessler, A and Hobbie, SE and Meier, IC and Mommer, L and Picon-Cochard, C and Rose, L and Ryser, P and Scherer-Lorenzen, M and Soudzilovskaia, NA and Stokes, A and Sun, T and Valverde-Barrantes, OJ and Weemstra, M and Weigelt, A and Wurzburger, N and York, LM and Batterman, SA and Gomes de Moraes, M and Janeček, Š and Lambers, H and Salmon, V and Tharayil, N and McCormack, ML},
title = {A starting guide to root ecology: strengthening ecological concepts and standardising root classification, sampling, processing and trait measurements.},
journal = {The New phytologist},
volume = {232},
number = {3},
pages = {973-1122},
doi = {10.1111/nph.17572},
pmid = {34608637},
issn = {1469-8137},
mesh = {Databases, Factual ; Ecology ; *Ecosystem ; Phenotype ; *Plants ; },
abstract = {In the context of a recent massive increase in research on plant root functions and their impact on the environment, root ecologists currently face many important challenges to keep on generating cutting-edge, meaningful and integrated knowledge. Consideration of the below-ground components in plant and ecosystem studies has been consistently called for in recent decades, but methodology is disparate and sometimes inappropriate. This handbook, based on the collective effort of a large team of experts, will improve trait comparisons across studies and integration of information across databases by providing standardised methods and controlled vocabularies. It is meant to be used not only as starting point by students and scientists who desire working on below-ground ecosystems, but also by experts for consolidating and broadening their views on multiple aspects of root ecology. Beyond the classical compilation of measurement protocols, we have synthesised recommendations from the literature to provide key background knowledge useful for: (1) defining below-ground plant entities and giving keys for their meaningful dissection, classification and naming beyond the classical fine-root vs coarse-root approach; (2) considering the specificity of root research to produce sound laboratory and field data; (3) describing typical, but overlooked steps for studying roots (e.g. root handling, cleaning and storage); and (4) gathering metadata necessary for the interpretation of results and their reuse. Most importantly, all root traits have been introduced with some degree of ecological context that will be a foundation for understanding their ecological meaning, their typical use and uncertainties, and some methodological and conceptual perspectives for future research. Considering all of this, we urge readers not to solely extract protocol recommendations for trait measurements from this work, but to take a moment to read and reflect on the extensive information contained in this broader guide to root ecology, including sections I-VII and the many introductions to each section and root trait description. Finally, it is critical to understand that a major aim of this guide is to help break down barriers between the many subdisciplines of root ecology and ecophysiology, broaden researchers' views on the multiple aspects of root study and create favourable conditions for the inception of comprehensive experiments on the role of roots in plant and ecosystem functioning.},
}

Databases, Factual
Ecology
*Ecosystem
Phenotype
*Plants

@article {pmid34562356,
year = {2021},
author = {Upham, NS and Poelen, JH and Paul, D and Groom, QJ and Simmons, NB and Vanhove, MPM and Bertolino, S and Reeder, DM and Bastos-Silveira, C and Sen, A and Sterner, B and Franz, NM and Guidoti, M and Penev, L and Agosti, D},
title = {Liberating host-virus knowledge from biological dark data.},
journal = {The Lancet. Planetary health},
volume = {5},
number = {10},
pages = {e746-e750},
doi = {10.1016/S2542-5196(21)00196-0},
pmid = {34562356},
issn = {2542-5196},
support = {R01 AI151144/AI/NIAID NIH HHS/United States ; R21 AI164268/AI/NIAID NIH HHS/United States ; },
mesh = {Animals ; *COVID-19/epidemiology/virology ; *Host Microbial Interactions ; Humans ; *Information Storage and Retrieval ; SARS-CoV-2 ; Zoonoses ; },
abstract = {Connecting basic data about bats and other potential hosts of SARS-CoV-2 with their ecological context is crucial to the understanding of the emergence and spread of the virus. However, when lockdowns in many countries started in March, 2020, the world's bat experts were locked out of their research laboratories, which in turn impeded access to large volumes of offline ecological and taxonomic data. Pandemic lockdowns have brought to attention the long-standing problem of so-called biological dark data: data that are published, but disconnected from digital knowledge resources and thus unavailable for high-throughput analysis. Knowledge of host-to-virus ecological interactions will be biased until this challenge is addressed. In this Viewpoint, we outline two viable solutions: first, in the short term, to interconnect published data about host organisms, viruses, and other pathogens; and second, to shift the publishing framework beyond unstructured text (the so-called PDF prison) to labelled networks of digital knowledge. As the indexing system for biodiversity data, biological taxonomy is foundational to both solutions. Building digitally connected knowledge graphs of host-pathogen interactions will establish the agility needed to quickly identify reservoir hosts of novel zoonoses, allow for more robust predictions of emergence, and thereby strengthen human and planetary health systems.},
}

Animals
*COVID-19/epidemiology/virology
*Host Microbial Interactions
Humans
*Information Storage and Retrieval
SARS-CoV-2
Zoonoses

@article {pmid32391910,
year = {2020},
author = {Escamilla Molgora, JM and Sedda, L and Atkinson, PM},
title = {Biospytial: spatial graph-based computing for ecological Big Data.},
journal = {GigaScience},
volume = {9},
number = {5},
pages = {},
pmid = {32391910},
issn = {2047-217X},
mesh = {*Big Data ; *Databases, Factual ; Ecology ; Geography ; Models, Theoretical ; *Software ; },
abstract = {BACKGROUND: The exponential accumulation of environmental and ecological data together with the adoption of open data initiatives bring opportunities and challenges for integrating and synthesising relevant knowledge that need to be addressed, given the ongoing environmental crises.

FINDINGS: Here we present Biospytial, a modular open source knowledge engine designed to import, organise, analyse and visualise big spatial ecological datasets using the power of graph theory. The engine uses a hybrid graph-relational approach to store and access information. A graph data structure uses linkage relationships to build semantic structures represented as complex data structures stored in a graph database, while tabular and geospatial data are stored in an efficient spatial relational database system. We provide an application using information on species occurrences, their taxonomic classification and climatic datasets. We built a knowledge graph of the Tree of Life embedded in an environmental and geographical grid to perform an analysis on threatened species co-occurring with jaguars (Panthera onca).

CONCLUSIONS: The Biospytial approach reduces the complexity of joining datasets using multiple tabular relations, while its scalable design eases the problem of merging datasets from different sources. Its modular design makes it possible to distribute several instances simultaneously, allowing fast and efficient handling of big ecological datasets. The provided example demonstrates the engine's capabilities in performing basic graph manipulation, analysis and visualizations of taxonomic groups co-occurring in space. The example shows potential avenues for performing novel ecological analyses, biodiversity syntheses and species distribution models aided by a network of taxonomic and spatial relationships.},
}

*Big Data
*Databases, Factual
Ecology
Geography
Models, Theoretical
*Software

@article {pmid34599334,
year = {2021},
author = {Westfall, AK and Telemeco, RS and Grizante, MB and Waits, DS and Clark, AD and Simpson, DY and Klabacka, RL and Sullivan, AP and Perry, GH and Sears, MW and Cox, CL and Cox, RM and Gifford, ME and John-Alder, HB and Langkilde, T and Angilletta, MJ and Leaché, AD and Tollis, M and Kusumi, K and Schwartz, TS},
title = {A chromosome-level genome assembly for the eastern fence lizard (Sceloporus undulatus), a reptile model for physiological and evolutionary ecology.},
journal = {GigaScience},
volume = {10},
number = {10},
pages = {},
doi = {10.1093/gigascience/giab066},
pmid = {34599334},
issn = {2047-217X},
support = {DGE 1414475//National Science Foundation/ ; //University of Virginia/ ; //Arizona State University/ ; //Auburn University/ ; },
abstract = {BACKGROUND: High-quality genomic resources facilitate investigations into behavioral ecology, morphological and physiological adaptations, and the evolution of genomic architecture. Lizards in the genus Sceloporus have a long history as important ecological, evolutionary, and physiological models, making them a valuable target for the development of genomic resources.

FINDINGS: We present a high-quality chromosome-level reference genome assembly, SceUnd1.0 (using 10X Genomics Chromium, HiC, and Pacific Biosciences data), and tissue/developmental stage transcriptomes for the eastern fence lizard, Sceloporus undulatus. We performed synteny analysis with other snake and lizard assemblies to identify broad patterns of chromosome evolution including the fusion of micro- and macrochromosomes. We also used this new assembly to provide improved reference-based genome assemblies for 34 additional Sceloporus species. Finally, we used RNAseq and whole-genome resequencing data to compare 3 assemblies, each representing an increased level of cost and effort: Supernova Assembly with data from 10X Genomics Chromium, HiRise Assembly that added data from HiC, and PBJelly Assembly that added data from Pacific Biosciences sequencing. We found that the Supernova Assembly contained the full genome and was a suitable reference for RNAseq and single-nucleotide polymorphism calling, but the chromosome-level scaffolds provided by the addition of HiC data allowed synteny and whole-genome association mapping analyses. The subsequent addition of PacBio data doubled the contig N50 but provided negligible gains in scaffold length.

CONCLUSIONS: These new genomic resources provide valuable tools for advanced molecular analysis of an organism that has become a model in physiology and evolutionary ecology.},
}

@article {pmid34030983,
year = {2021},
author = {Miller, KE and Polaszek, A and Evans, DM},
title = {A dearth of data: fitting parasitoids into ecological networks.},
journal = {Trends in parasitology},
volume = {37},
number = {10},
pages = {863-874},
doi = {10.1016/j.pt.2021.04.012},
pmid = {34030983},
issn = {1471-5007},
mesh = {Animals ; DNA Barcoding, Taxonomic ; Databases, Genetic ; *Ecosystem ; *Host-Parasite Interactions/physiology ; },
abstract = {Studying parasitoids can provide insights into global diversity estimates, climate change impacts, and agroecosystem service provision. However, this potential remains largely untapped due to a lack of data on how parasitoids interact with other organisms. Ecological networks are a useful tool for studying and exploiting the impacts of parasitoids, but their construction is hindered by the magnitude of undescribed parasitoid species, a sparse knowledge of host ranges, and an under-representation of parasitoids within DNA-barcode databases (we estimate <5% have a barcode). Here, we advocate the use of DNA metabarcoding to construct the host-parasitoid component of multilayer networks. While the incorporation of parasitoids into network-based analyses has far ranging applications, we focus on its potential for assessing ecosystem service provision within agroecosystems.},
}

Animals
DNA Barcoding, Taxonomic
Databases, Genetic
*Ecosystem
*Host-Parasite Interactions/physiology

@article {pmid34404811,
year = {2021},
author = {Sabatini, FM and Bluhm, H and Kun, Z and Aksenov, D and Atauri, JA and Buchwald, E and Burrascano, S and Cateau, E and Diku, A and Duarte, IM and Fernández López, ÁB and Garbarino, M and Grigoriadis, N and Horváth, F and Keren, S and Kitenberga, M and Kiš, A and Kraut, A and Ibisch, PL and Larrieu, L and Lombardi, F and Matovic, B and Melu, RN and Meyer, P and Midteng, R and Mikac, S and Mikoláš, M and Mozgeris, G and Panayotov, M and Pisek, R and Nunes, L and Ruete, A and Schickhofer, M and Simovski, B and Stillhard, J and Stojanovic, D and Szwagrzyk, J and Tikkanen, OP and Toromani, E and Volosyanchuk, R and Vrška, T and Waldherr, M and Yermokhin, M and Zlatanov, T and Zagidullina, A and Kuemmerle, T},
title = {European primary forest database v2.0.},
journal = {Scientific data},
volume = {8},
number = {1},
pages = {220},
pmid = {34404811},
issn = {2052-4463},
support = {658876//EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)/ ; ETN-WIE-FZS-001//Zoologische Gesellschaft Frankfurt (Frankfurt Zoological Society)/ ; ETN-WIE-FZS-001//Zoologische Gesellschaft Frankfurt (Frankfurt Zoological Society)/ ; },
mesh = {*Conservation of Natural Resources ; Databases, Factual ; Europe ; *Forests ; },
abstract = {Primary forests, defined here as forests where the signs of human impacts, if any, are strongly blurred due to decades without forest management, are scarce in Europe and continue to disappear. Despite these losses, we know little about where these forests occur. Here, we present a comprehensive geodatabase and map of Europe's known primary forests. Our geodatabase harmonizes 48 different, mostly field-based datasets of primary forests, and contains 18,411 individual patches (41.1 Mha) spread across 33 countries. When available, we provide information on each patch (name, location, naturalness, extent and dominant tree species) and the surrounding landscape (biogeographical regions, protection status, potential natural vegetation, current forest extent). Using Landsat satellite-image time series (1985-2018) we checked each patch for possible disturbance events since primary forests were identified, resulting in 94% of patches free of significant disturbances in the last 30 years. Although knowledge gaps remain, ours is the most comprehensive dataset on primary forests in Europe, and will be useful for ecological studies, and conservation planning to safeguard these unique forests.},
}

*Conservation of Natural Resources
Databases, Factual
Europe
*Forests

@article {pmid33909693,
year = {2021},
author = {Freedman, R and Brown, JA and Caldow, C and Caselle, JE},
title = {Species-specific thermal classification schemes can improve climate related marine resource decisions.},
journal = {PloS one},
volume = {16},
number = {4},
pages = {e0250792},
pmid = {33909693},
issn = {1932-6203},
mesh = {Animals ; Biota ; California ; Climate Change ; Conservation of Natural Resources/*methods ; Databases, Factual ; Decision Making ; Fishes/*classification ; Humans ; Kelp/*classification ; Species Specificity ; Temperature ; },
abstract = {Global climate change increasingly contributes to large changes in ecosystem structure. Timely management of rapidly changing marine ecosystems must be matched with methods to rapidly quantify and assess climate driven impacts to ecological communities. Here we create a species-specific, classification system for fish thermal affinities, using three quantifiable datasets and expert opinion. Multiple sources of information limit potential data bias and avoid misclassification. Using a temperate kelp forest fish community in California, USA as a test case for this new methodology, we found the majority of species had high classification agreement across all four data sources (n = 78) but also a number of low agreement species (2 sources disagree from the others, n = 47). For species with low agreement, use of just one dataset to classify species, as is commonly done, would lead to high risk of misclassification. Differences in species classification between individual datasets and our composite classification were apparent. Applying different thermal classifications, lead to different conclusions when quantifying 'warm' and 'cool' species density responses to a marine heatwave. Managers can use this classification approach as a tool to generate accurate, timely and simple information for resource management.},
}

Animals
Biota
California
Climate Change
Conservation of Natural Resources/*methods
Databases, Factual
Decision Making
Fishes/*classification
Humans
Kelp/*classification
Species Specificity
Temperature

@article {pmid34586901,
year = {2021},
author = {Fernandes-Martins, MC and Keller, LM and Munro-Ehrlich, M and Zimlich, KR and Mettler, MK and England, AM and Clare, R and Surya, K and Shock, EL and Colman, DR and Boyd, ES},
title = {Ecological dichotomies arise in microbial communities due to mixing of deep hydrothermal waters and atmospheric gas in a circumneutral hot spring.},
journal = {Applied and environmental microbiology},
volume = {},
number = {},
pages = {AEM0159821},
doi = {10.1128/AEM.01598-21},
pmid = {34586901},
issn = {1098-5336},
abstract = {Little is known of how the confluence of subsurface and surface processes influences the assembly and habitability of hydrothermal ecosystems. To address this knowledge gap, the geochemical and microbial composition of a high temperature, circumneutral hot spring in Yellowstone National Park was examined to identify the sources of solutes and their effect on the ecology of microbial inhabitants. Metagenomic analysis showed populations comprising planktonic and sediment communities are archaeal dominated, are dependent on chemical energy (chemosynthetic), share little overlap in their taxonomic composition, and are differentiated by their inferred use of/tolerance to oxygen and mode of carbon metabolism. The planktonic community is dominated by putative aerobic/aerotolerant autotrophs while the taxonomic composition of the sediment community is more evenly distributed and comprised of anaerobic heterotrophs. These observations are interpreted to reflect sourcing of the spring by anoxic, organic carbon-limited subsurface hydrothermal fluids and ingassing of atmospheric oxygen that selects for aerobic/aerotolerant organisms that have autotrophic capabilities in the water column. Autotrophy and consumption of oxygen by the planktonic community may influence the assembly of the anaerobic and heterotrophic sediment community. Support for this inference comes from higher estimated rates of genome replication in planktonic populations than sediment populations, indicating faster growth in planktonic populations. Collectively, these observations provide new insight into how mixing of subsurface waters and atmospheric oxygen create dichotomy in the ecology of hot spring communities and suggest that planktonic and sediment communities may have been less differentiated taxonomically and functionally prior to the rise of oxygen ∼2.4 Gya. IMPORTANCE Understanding the source and availability of energy capable of supporting life in hydrothermal environments is central to predicting the ecology of microbial life on early Earth when volcanic activity was more widespread. Little is known of the substrates supporting microbial life in circumneutral to alkaline springs, despite their relevance to early Earth habitats. Using metagenomic and informatics approaches, water column and sediment habitats in a representative circumneutral hot spring in Yellowstone were shown to be dichotomous, with the former largely hosting aerobic/aerotolerant autotrophs and the latter primarily hosting anaerobic heterotrophs. This dichotomy is attributed to influx of atmospheric oxygen into anoxic deep hydrothermal spring waters. These results indicate that the ecology of microorganisms in circumneutral to alkaline springs sourced by deep hydrothermal fluids was different prior to the rise of atmospheric oxygen ∼ 2.4 Gya, with planktonic and sediment communities likely to be less differentiated than contemporary circumneutral hot springs.},
}

@article {pmid33861764,
year = {2021},
author = {Fatemi, M and Rezaei-Moghaddam, K and Karami, E and Hayati, D and Wackernagel, M},
title = {An integrated approach of Ecological Footprint (EF) and Analytical Hierarchy Process (AHP) in human ecology: A base for planning toward sustainability.},
journal = {PloS one},
volume = {16},
number = {4},
pages = {e0250167},
pmid = {33861764},
issn = {1932-6203},
mesh = {Agriculture ; Analytic Hierarchy Process ; Conservation of Natural Resources/*methods ; Ecological and Environmental Phenomena ; Ecology ; Farmers ; Humans ; Iran ; Natural Resources ; Pilot Projects ; Reproducibility of Results ; Surveys and Questionnaires ; Sustainable Development/economics/*trends ; },
abstract = {Environmental challenges to natural resources have been attributed to human behavior and traditional agricultural production techniques. Natural resource degradation in agriculture has always been a prime concern in agro ecological research and sustainability analysis. There are many techniques for assessing environmental performance; one of which, ecological footprint (EF), assesses human pressure on the environment and natural resources. The main purpose of this study was calculation of ecological indices including biocapacity (BC) and EF of rural areas of Fars province of Iran. The study was accomplished using survey and structured interviews consisting of three main questionnaires in two different steps. Different agricultural stakeholders, including farmers (for the first step) as well as the policymakers, extension managers and authorities (for the second step) were interviewed. Based on multi-stage stratified random sampling, 50 villages and 423 farmers were selected. Face validity and reliability of the questionnaires were assessed by a panel of specialists as well as conducting a pilot study, respectively. The paradigmatic perspectives of agricultural policy makers and managers (22 individuals) were also analyzed using another specific questionnaire by Analytical Hierarchy Process (AHP). Findings revealed that most of the studied villages faced a critical environmental condition due to the results of ecological indicator which was calculated in the study. According to the four main components of human ecology (POET model) including Population, Organization, Environment and Technology, village groups that differed in terms of sustainability level also showed significantly differences due to population, social participation, use of green technologies and attitude towards diverse environmental management paradigms. The causal model also revealed that population, green technology, social participation and attitude toward frontier economics, which were in accordance with the elements of human ecology model, were the main factors affecting the ecological index. Finally, AHP results determined the dominant economic perspectives of agricultural authorities. A paradigm shift toward the comprehensive paradigm of eco-development plus consideration of the results of the ecological indicator calculation as the base of agricultural planning at the local level were recommended.},
}

Agriculture
Analytic Hierarchy Process
Conservation of Natural Resources/*methods
Ecological and Environmental Phenomena
Ecology
Farmers
Humans
Iran
Natural Resources
Pilot Projects
Reproducibility of Results
Surveys and Questionnaires
Sustainable Development/economics/*trends

@article {pmid34522345,
year = {2021},
author = {Remeš, V and Remešová, E and Friedman, NR and Matysioková, B and Rubáčová, L},
title = {Functional diversity of avian communities increases with canopy height: From individual behavior to continental-scale patterns.},
journal = {Ecology and evolution},
volume = {11},
number = {17},
pages = {11839-11851},
pmid = {34522345},
issn = {2045-7758},
abstract = {Vegetation complexity is an important predictor of animal species diversity. Specifically, taller vegetation should provide more potential ecological niches and thus harbor communities with higher species richness and functional diversity (FD). Resource use behavior is an especially important functional trait because it links species to their resource base with direct relevance to niche partitioning. However, it is unclear how exactly the diversity of resource use behavior changes with vegetation complexity. To address this question, we studied avian FD in relation to vegetation complexity along a continental-scale vegetation gradient. We quantified foraging behavior of passerine birds in terms of foraging method and substrate use at 21 sites (63 transects) spanning 3,000 km of woodlands and forests in Australia. We also quantified vegetation structure on 630 sampling points at the same sites. Additionally, we measured morphological traits for all 111 observed species in museum collections. We calculated individual-based, abundance-weighted FD in morphology and foraging behavior and related it to species richness and vegetation complexity (indexed by canopy height) using structural equation modeling, rarefaction analyses, and distance-based metrics. FD of morphology and foraging methods was best predicted by species richness. However, FD of substrate use was best predicted by canopy height (ranging 10-30 m), but only when substrates were categorized with fine resolution (17 categories), not when categorized coarsely (8 categories). These results suggest that, first, FD might increase with vegetation complexity independently of species richness, but whether it does so depends on the studied functional trait. Second, patterns found might be shaped by how finely we categorize functional traits. More complex vegetation provided larger "ecological space" with more resources, allowing the coexistence of more species with disproportionately more diverse foraging substrate use. We suggest that the latter pattern was driven by nonrandom accumulation of functionally distinct species with increasing canopy height.},
}

@article {pmid34450871,
year = {2021},
author = {Guo, J and Zhang, M and Shang, Q and Liu, F and Wu, A and Li, X},
title = {River Basin Cyberinfrastructure in the Big Data Era: An Integrated Observational Data Control System in the Heihe River Basin.},
journal = {Sensors (Basel, Switzerland)},
volume = {21},
number = {16},
pages = {},
pmid = {34450871},
issn = {1424-8220},
support = {2016YFC0500105//the National Key R&D Program of China/ ; XDA20060602//The Strategic Priority Research Program of the Chinese Academy of Sciences/ ; },
mesh = {Big Data ; China ; *Conservation of Natural Resources ; Hydrology ; *Rivers ; },
abstract = {River basin cyberinfrastructure with the Internet of Things (IoT) as the core has brought watershed data science into the big data era, greatly improving data acquisition and sharing efficiency. However, challenges in analyzing, processing, and applying very large quantities of observational data remain. Given the observational needs in watershed research, we studied the construction of river basin cyberinfrastructure and developed an integrated observational data control system (IODCS). The IODCS is an important platform for processing large quantities of observational data, including automated collection, storage, analysis, processing, and release. This paper presents various aspects of the IODCS in detail, including the system's overall design, function realization, big data analysis methods, and integrated models. We took the middle reaches of the Heihe River Basin (HRB) as the application research area to show the performance of the developed system. Since the system began operation, it has automatically received, analyzed, and stored more than 1.4 billion observational data records, with an average of more than 14 million observational data records processed per month and up to 21,011 active users. The demonstrated results show that the IODCS can effectively leverage the processing capability of massive observational data and provide a new perspective for facilitating ecological and hydrological scientific research on the HRB.},
}

Big Data
China
*Conservation of Natural Resources
Hydrology
*Rivers

@article {pmid34430295,
year = {2021},
author = {Abdullah, MM and Al-Ali, ZM and Srinivasan, S},
title = {The use of UAV-based remote sensing to estimate biomass and carbon stock for native desert shrubs.},
journal = {MethodsX},
volume = {8},
number = {},
pages = {101399},
pmid = {34430295},
issn = {2215-0161},
abstract = {Unmanned Aerial Vehicles (UAVs) have started to receive more attention in the ecological field in the past 15 years, as they provide very high-resolution imagery that ranges from meters to millimeters. Very high-resolution multispectral imagery obtained from UAVs can help in assessing and monitoring native desert vegetation. Thus, this study use UAVs to develop a method to estimate the biomass and carbon stock of native desert shrubs. The method integrates different techniques and software to monitor native plants' coverage, biomass, and carbon stock. The techniques used in this work are also applicable for other native desert shrubs in the region and could support ecosystem managers in assessing and monitoring arid ecosystems and restoration and revegetation programs. A three-stage image and data management are discussed, including: (1) fieldwork and image acquisition using UAVs, (2) image pre-processing, and (3) image processing using different techniques and software.•Determining shrub biomass is not restricted to multispectral data only but could be applicable for RGB data since it mainly depends on the DSM and DTM.•Allometric parameters could help in estimating desert shrub biomass which could be measured easily and rapidly using UAV imagery.•SVM Supervised classification could help in distinguishing between native shrubs and grasses.},
}

@article {pmid34371221,
year = {2021},
author = {Li, J and Chen, X and Kurban, A and Van de Voorde, T and De Maeyer, P and Zhang, C},
title = {Identification of conservation priorities in the major basins of Central Asia: Using an integrated GIS-based ordered weighted averaging approach.},
journal = {Journal of environmental management},
volume = {298},
number = {},
pages = {113442},
doi = {10.1016/j.jenvman.2021.113442},
pmid = {34371221},
issn = {1095-8630},
mesh = {Asia ; China ; *Conservation of Natural Resources ; *Ecosystem ; Geographic Information Systems ; Humans ; Soil ; },
abstract = {Ecosystem services (ESs) provided by the major basins of Central Asia are critical to human well-being and have attracted the attention of the international community. The identification of conservation priorities is of great significance for the maintenance and protection of key ESs. In this study, we quantified the spatiotemporal changes of net primary productivity (NPP), soil conservation (SC), water yield (WY) and habitat quality (HQ) in the major basins of Central Asia from 1995 to 2015. In addition, a GIS-based ordered weighted averaging (OWA) multi-criterion valuation method was adopted to identify potential conservation areas under 11 scenarios. Conservation priorities were determined by comparing the conservation efficiency under each scenario. Then, a broad range of indicators were considered to distinguish the driving factors affecting ESs in conservation priorities. The results show that the average conservation efficiency in the Issyk-Kul Basin was the highest, followed by the Am Darya Basin, Ili-Balkhash Basin and Syr Darya Basin. We observed that the conservation efficiency of the four ESs declined continuously in the Ili-Balkhash Basin from 1995 to 2015, while it changed steadily in the other three basins. Correlation analysis indicated that natural factors (e.g., precipitation and topography) were the main driving factors of WY, SR and NPP in conservation priorities, while HQ was more affected by socio-economic factors (e.g., population density and both cropland and urban percentages). The identification of conservation priorities and their driving factors plays an important role in ensuring the ecological security of the lower reaches, regulating the regional water balance and stabilizing the climate pattern.},
}

Asia
China
*Conservation of Natural Resources
*Ecosystem
Geographic Information Systems
Humans
Soil

@article {pmid34349739,
year = {2021},
author = {Jones, B and Goodall, T and George, PBL and Gweon, HS and Puissant, J and Read, DS and Emmett, BA and Robinson, DA and Jones, DL and Griffiths, RI},
title = {Beyond Taxonomic Identification: Integration of Ecological Responses to a Soil Bacterial 16S rRNA Gene Database.},
journal = {Frontiers in microbiology},
volume = {12},
number = {},
pages = {682886},
pmid = {34349739},
issn = {1664-302X},
abstract = {High-throughput sequencing 16S rRNA gene surveys have enabled new insights into the diversity of soil bacteria, and furthered understanding of the ecological drivers of abundances across landscapes. However, current analytical approaches are of limited use in formalizing syntheses of the ecological attributes of taxa discovered, because derived taxonomic units are typically unique to individual studies and sequence identification databases only characterize taxonomy. To address this, we used sequences obtained from a large nationwide soil survey (GB Countryside Survey, henceforth CS) to create a comprehensive soil specific 16S reference database, with coupled ecological information derived from survey metadata. Specifically, we modeled taxon responses to soil pH at the OTU level using hierarchical logistic regression (HOF) models, to provide information on both the shape of landscape scale pH-abundance responses, and pH optima (pH at which OTU abundance is maximal). We identify that most of the soil OTUs examined exhibited a non-flat relationship with soil pH. Further, the pH optima could not be generalized by broad taxonomy, highlighting the need for tools and databases synthesizing ecological traits at finer taxonomic resolution. We further demonstrate the utility of the database by testing against geographically dispersed query 16S datasets; evaluating efficacy by quantifying matches, and accuracy in predicting pH responses of query sequences from a separate large soil survey. We found that the CS database provided good coverage of dominant taxa; and that the taxa indicating soil pH in a query dataset corresponded with the pH classifications of top matches in the CS database. Furthermore we were able to predict query dataset community structure, using predicted abundances of dominant taxa based on query soil pH data and the HOF models of matched CS database taxa. The database with associated HOF model outputs is released as an online portal for querying single sequences of interest (https://shiny-apps.ceh.ac.uk/ID-TaxER/), and flat files are made available for use in bioinformatic pipelines. The further development of advanced informatics infrastructures incorporating modeled ecological attributes along with new functional genomic information will likely facilitate large scale exploration and prediction of soil microbial functional biodiversity under current and future environmental change scenarios.},
}

@article {pmid34339067,
year = {2021},
author = {Hagmann, RK and Hessburg, PF and Prichard, SJ and Povak, NA and Brown, PM and Fulé, PZ and Keane, RE and Knapp, EE and Lydersen, JM and Metlen, KL and Reilly, MJ and Sánchez Meador, AJ and Stephens, SL and Stevens, JT and Taylor, AH and Yocom, LL and Battaglia, MA and Churchill, DJ and Daniels, LD and Falk, DA and Henson, P and Johnston, JD and Krawchuk, MA and Levine, CR and Meigs, GW and Merschel, AG and North, MP and Safford, HD and Swetnam, TW and Waltz, AEM},
title = {Evidence for widespread changes in the structure, composition, and fire regimes of western North American forests.},
journal = {Ecological applications : a publication of the Ecological Society of America},
volume = {},
number = {},
pages = {e02431},
doi = {10.1002/eap.2431},
pmid = {34339067},
issn = {1051-0761},
abstract = {Implementation of wildfire- and climate-adaptation strategies in seasonally dry forests of western North America is impeded by numerous constraints and uncertainties. After more than a century of resource and land use change, some question the need for proactive management, particularly given novel social, ecological, and climatic conditions. To address this question, we first provide a framework for assessing changes in landscape conditions and fire regimes. Using this framework, we then evaluate evidence of change and lack of change in contemporary conditions relative to those maintained by active fire regimes, i.e., those uninterrupted by a century or more of human-induced fire exclusion. The cumulative results of more than a century of research document a persistent and substantial fire deficit and widespread alterations to ecological structures and functions. These changes are not necessarily apparent at all spatial scales or in all dimensions of fire regimes and forest and nonforest conditions. Nonetheless, loss of the once abundant influence of low- and moderate-severity fires suggests that while some ecosystems within these landscapes may not be directly altered by fire exclusion, even the least fire-prone among them may be affected by alteration of the surrounding landscape and, consequently, ecosystem functions. Vegetation spatial patterns in fire-excluded forested landscapes no longer reflect the heterogeneity maintained by interacting fires of active fire regimes. Live and dead vegetation (surface and canopy fuels) is generally more abundant and continuous than before European colonization. As a result, current conditions are more vulnerable to the direct and indirect effects of seasonal and episodic increases in drought and fire, especially under a rapidly warming climate. Long-term fire exclusion and contemporaneous social-ecological influences continue to extensively modify seasonally dry forested landscapes. Management that realigns or adapts fire-excluded conditions to the seasonal and episodic increases in drought and fire can moderate ecosystem transitions as forests and human communities adapt to changing climatic and disturbance regimes. As adaptation strategies are developed, evaluated, and implemented, objective scientific evaluation of ongoing research and monitoring can aid differentiation of warranted and unwarranted uncertainties.},
}

@article {pmid34313464,
year = {2021},
author = {Li, YX and Rao, YZ and Qi, YL and Qu, YN and Chen, YT and Jiao, JY and Shu, WS and Jiang, H and Hedlund, BP and Hua, ZS and Li, WJ},
title = {Deciphering Symbiotic Interactions of "Candidatus Aenigmarchaeota" with Inferred Horizontal Gene Transfers and Co-occurrence Networks.},
journal = {mSystems},
volume = {6},
number = {4},
pages = {e0060621},
pmid = {34313464},
issn = {2379-5077},
support = {91951205//National Natural Science Foundation of China (NSFC)/ ; 91751206//National Natural Science Foundation of China (NSFC)/ ; },
abstract = {"Candidatus Aenigmarchaeota" ("Ca. Aenigmarchaeota") represents one of the earliest proposed evolutionary branches within the Diapherotrites, Parvarchaeota, Aenigmarchaeota, Nanoarchaeota, and Nanohaloarchaeota (DPANN) superphylum. However, their ecological roles and potential host-symbiont interactions are still poorly understood. Here, eight metagenome-assembled genomes (MAGs) were reconstructed from hot spring ecosystems, and further in-depth comparative and evolutionary genomic analyses were conducted on these MAGs and other genomes downloaded from public databases. Although with limited metabolic capacities, we reported that "Ca. Aenigmarchaeota" in thermal environments harbor more genes related to carbohydrate metabolism than "Ca. Aenigmarchaeota" in nonthermal environments. Evolutionary analyses suggested that members from the Thaumarchaeota, Aigarchaeota, Crenarchaeota, and Korarchaeota (TACK) superphylum and Euryarchaeota contribute substantially to the niche expansion of "Ca. Aenigmarchaeota" via horizontal gene transfer (HGT), especially genes related to virus defense and stress responses. Based on co-occurrence network results and recent genetic exchanges among community members, we conjectured that "Ca. Aenigmarchaeota" may be symbionts associated with one MAG affiliated with the genus Pyrobaculum, though host specificity might be wide and variable across different "Ca. Aenigmarchaeota" organisms. This study provides significant insight into possible DPANN-host interactions and ecological roles of "Ca. Aenigmarchaeota." IMPORTANCE Recent advances in sequencing technology promoted the blowout discovery of super tiny microbes in the Diapherotrites, Parvarchaeota, Aenigmarchaeota, Nanoarchaeota, and Nanohaloarchaeota (DPANN) superphylum. However, the unculturable properties of the majority of microbes impeded our investigation of their behavior and symbiotic lifestyle in the corresponding community. By integrating horizontal gene transfer (HGT) detection and co-occurrence network analysis on "Candidatus Aenigmarchaeota" ("Ca. Aenigmarchaeota"), we made one of the first attempts to infer their putative interaction partners and further decipher the potential functional and genetic interactions between the symbionts. We revealed that HGTs contributed by members from the Thaumarchaeota, Aigarchaeota, Crenarchaeota, and Korarchaeota (TACK) superphylum and Euryarchaeota conferred "Ca. Aenigmarchaeota" with the ability to survive under different environmental stresses, such as virus infection, high temperature, and oxidative stress. This study demonstrates that the interaction partners might be inferable by applying informatics analyses on metagenomic sequencing data.},
}

@article {pmid34303237,
year = {2021},
author = {Liu, C and Yang, M and Hou, Y and Xue, X},
title = {Ecosystem service multifunctionality assessment and coupling coordination analysis with land use and land cover change in China's coastal zones.},
journal = {The Science of the total environment},
volume = {797},
number = {},
pages = {149033},
doi = {10.1016/j.scitotenv.2021.149033},
pmid = {34303237},
issn = {1879-1026},
abstract = {Ecosystem services (ESs) have received widespread attention worldwide for their potential to solve sustainability issues. However, extensive land use and land cover change (LUCC) driven by human activities has raised concerns regarding its impacts on ESs, especially in coastal zones. More importantly, spatial-temporal changes, their coupling relationships with LUCC, and their underlying drivers have not been thoroughly analyzed. This study focuses on China's coastal zones to investigate the spatial-temporal changes of ecosystem service multifunctionality (ESM) from 2000 to 2018. Coupling coordination degree (CCD) analysis of the relationship between ESM and comprehensive intensity of land use was applied to identify coastal cities with low-level coordination and their main drivers in 2018. The results show that: (1) the proportion with high levels of ESM decreased by 1.01% from 2000 to 2010 and then increased by 3.29% from 2010 to 2018; (2) the ESM of China's coastal zones present significant spatial heterogeneity, and the low levels of ESM are mainly distributed in the north and urban areas, while most areas in the southern coastal zones have high levels of ESM; (3) forest land is the leading land cover type for ESM, and China's forest conservation policies significantly contribute to the increase in ESM; (4) the CCD of most cities in the southern coastal zones, apart from Shanghai and the Pearl River Delta, is at a relatively high level and experiences no significant changes, while most cities in the northern coastal zones display an improving trend; (5) the land use type, landform type, and leaf area index are the determinants of ESM, and the annual average temperature, population density, and surface elevation are the greatest influences on the CCD. The findings of this study can inform ecological conservation and landscape planning and are beneficial to the sustainable development of coastal zones in China.},
}

@article {pmid34299819,
year = {2021},
author = {Ali, EOM and Babalghith, AO and Bahathig, AOS and Toulah, FHS and Bafaraj, TG and Al-Mahmoudi, SMY and Alhazmi, AMF and Abdel-Latif, ME},
title = {Prevalence of Larval Breeding Sites and Seasonal Variations of Aedes aegypti Mosquitoes (Diptera: Culicidae) in Makkah Al-Mokarramah, Saudi Arabia.},
journal = {International journal of environmental research and public health},
volume = {18},
number = {14},
pages = {},
pmid = {34299819},
issn = {1660-4601},
mesh = {*Aedes ; Animals ; *Dengue/epidemiology ; Larva ; Prevalence ; Saudi Arabia/epidemiology ; Seasons ; },
abstract = {Since 1994, dengue fever (DF) transmission rates have increased significantly in Saudi Arabia (KSA). Climatic, geographic, and demographic conditions make KSA especially suitable for DF's spread. Still, there are insufficient strategies for controlling the Aedes species that transmit DF virus (DENV). To develop effective management strategies, it is necessary to identify Aedes species and the ecological habitat of larvae in Makkah Al-Mokarramah, KSA. We conducted a longitudinal survey of Aedes mosquitoes in 14 localities from January 2015 to December 2015. World Health Organization (WHO) inspection kits for larvae were used to detect and sample larvae, along with pictorial keys. A total of 42,981 potential Aedes larval breeding sites were surveyed. A total of 5403 (12.6%) sites had at least one water source positive for Aedes aegypti (Linnaeus) mosquitoes. Among the total of 15,133 water sources surveyed within the sampled sites, 1815 (12.0%) were positive for Aedes aegypti. Aedes aegypti was the only Aedes species identified in the course of the survey. The presence of such a large immature population may indicate an imminent outbreak of DF in the near future unless proper implementation of control and elimination of Aedes&nbsp;aegypti are undertaken. Additionally, the adaptation of Aedes&nbsp;aegypti to the arid climate of Makkah needs further investigation.},
}

*Aedes
Animals
*Dengue/epidemiology
Larva
Prevalence
Saudi Arabia/epidemiology
Seasons

@article {pmid34286299,
year = {2021},
author = {Coutinho, FH and Zaragoza-Solas, A and López-Pérez, M and Barylski, J and Zielezinski, A and Dutilh, BE and Edwards, R and Rodriguez-Valera, F},
title = {RaFAH: Host prediction for viruses of Bacteria and Archaea based on protein content.},
journal = {Patterns (New York, N.Y.)},
volume = {2},
number = {7},
pages = {100274},
pmid = {34286299},
issn = {2666-3899},
abstract = {Culture-independent approaches have recently shed light on the genomic diversity of viruses of prokaryotes. One fundamental question when trying to understand their ecological roles is: which host do they infect? To tackle this issue we developed a machine-learning approach named Random Forest Assignment of Hosts (RaFAH), that uses scores to 43,644 protein clusters to assign hosts to complete or fragmented genomes of viruses of Archaea and Bacteria. RaFAH displayed performance comparable with that of other methods for virus-host prediction in three different benchmarks encompassing viruses from RefSeq, single amplified genomes, and metagenomes. RaFAH was applied to assembled metagenomic datasets of uncultured viruses from eight different biomes of medical, biotechnological, and environmental relevance. Our analyses led to the identification of 537 sequences of archaeal viruses representing unknown lineages, whose genomes encode novel auxiliary metabolic genes, shedding light on how these viruses interfere with the host molecular machinery. RaFAH is available at https://sourceforge.net/projects/rafah/.},
}

@article {pmid34262682,
year = {2021},
author = {Rocchini, D and Thouverai, E and Marcantonio, M and Iannacito, M and Da Re, D and Torresani, M and Bacaro, G and Bazzichetto, M and Bernardi, A and Foody, GM and Furrer, R and Kleijn, D and Larsen, S and Lenoir, J and Malavasi, M and Marchetto, E and Messori, F and Montaghi, A and Moudrý, V and Naimi, B and Ricotta, C and Rossini, M and Santi, F and Santos, MJ and Schaepman, ME and Schneider, FD and Schuh, L and Silvestri, S and Ŝímová, P and Skidmore, AK and Tattoni, C and Tordoni, E and Vicario, S and Zannini, P and Wegmann, M},
title = {rasterdiv-An Information Theory tailored R package for measuring ecosystem heterogeneity from space: To the origin and back.},
journal = {Methods in ecology and evolution},
volume = {12},
number = {6},
pages = {1093-1102},
pmid = {34262682},
issn = {2041-210X},
abstract = {Ecosystem heterogeneity has been widely recognized as a key ecological indicator of several ecological functions, diversity patterns and change, metapopulation dynamics, population connectivity or gene flow.In this paper, we present a new R package-rasterdiv-to calculate heterogeneity indices based on remotely sensed data. We also provide an ecological application at the landscape scale and demonstrate its power in revealing potentially hidden heterogeneity patterns.The rasterdiv package allows calculating multiple indices, robustly rooted in Information Theory, and based on reproducible open-source algorithms.},
}

@article {pmid34260961,
year = {2021},
author = {Levi, A and Barnett-Itzhaki, Z},
title = {Effects of chronic exposure to ambient air pollutants, demographic, and socioeconomic factors on COVID-19 morbidity: The Israeli case study.},
journal = {Environmental research},
volume = {202},
number = {},
pages = {111673},
doi = {10.1016/j.envres.2021.111673},
pmid = {34260961},
issn = {1096-0953},
abstract = {BACKGROUND: Recent studies conducted in several OECD countries have shown that chronic exposure to elevated levels of air pollutants (especially PM2.5, PM10 and NOx), might negatively impact COVID-19 morbidity and mortality rates. The aim of this study was to examine the association between chronic exposure to air pollution in Israeli cities and towns, their demographic and socioeconomic status, and COVID-19 morbidity, during the three local morbidity waves.

METHODS: We examined the associations between: (a) annual average concentrations of NOx, CO, PM10, PM2.5 and SO2 in 2016-2019, and demographic and socioeconomic parameters, and (b) COVID-19 positive cases in 279 Israeli cities and towns, in the four state-wide morbidity peaks: 1st wave peak: March 31st, 2020; 2nd wave peaks: July 24th and September 27th, 2020, and the 3rd wave peak: January 17th, 2021, which occurred after the beginning of the nationwide vaccination campaign. These associations were calculated using both Spearman correlations and multivariate linear regressions.

RESULTS: We found statistically significant positive correlations between the concentrations of most pollutants in 2016-19 and COVID-19 morbidity rate at the first three timepoints but not the 4th (January 17th, 2021). Population density and city/town total population were also positively associated with the COVID-19 morbidity rates at these three timepoints, but not the 4th, in which socioeconomic parameters were more dominant - we found a statistically significant negative correlation between socioeconomic cluster and COVID-19 morbidity. In addition, all multivariate models including PM2.5 concentrations were statistically significant, and PM2.5 concentrations were positively associated with the COVID-19 morbidity rates in all models.

CONCLUSIONS: We found a nationwide association between population chronic exposure to five main air pollutants in Israeli cities and towns, and COVID-19 morbidity rates during two of the three morbidity waves experienced in Israel. The widespread morbidity that was related to socioeconomic factors during the 3rd wave, emphasizes the need for special attention to morbidity prevention in socioeconomically vulnerable populations and especially in large household communities. Nevertheless, this ecological study has several limitations, such as the inability to draw conclusions about causality or mechanisms of action. The growing body of evidence, regarding association between exacerbated COVID-19 morbidity and mortality rates and long-term chronic exposure to elevated concentrations of air pollutants should serve as a wake-up call to policy makers regarding the urgent need to reduce air pollution and its harmful effects.},
}

@article {pmid34253732,
year = {2021},
author = {Mehrshad, M and Lopez-Fernandez, M and Sundh, J and Bell, E and Simone, D and Buck, M and Bernier-Latmani, R and Bertilsson, S and Dopson, M},
title = {Energy efficiency and biological interactions define the core microbiome of deep oligotrophic groundwater.},
journal = {Nature communications},
volume = {12},
number = {1},
pages = {4253},
pmid = {34253732},
issn = {2041-1723},
mesh = {Biodiversity ; Databases, Genetic ; *Energy Metabolism ; Gene Expression Regulation ; Groundwater/*microbiology ; Isoelectric Point ; Metagenome ; *Microbiota/genetics ; Phylogeny ; Transcription, Genetic ; Transcriptome/genetics ; },
abstract = {While oligotrophic deep groundwaters host active microbes attuned to the low-end of the bioenergetics spectrum, the ecological constraints on microbial niches in these ecosystems and their consequences for microbiome convergence are unknown. Here, we provide a genome-resolved, integrated omics analysis comparing archaeal and bacterial communities in disconnected fracture fluids of the Fennoscandian Shield in Europe. Leveraging a dataset that combines metagenomes, single cell genomes, and metatranscriptomes, we show that groundwaters flowing in similar lithologies offer fixed niches that are occupied by a common core microbiome. Functional expression analysis highlights that these deep groundwater ecosystems foster diverse, yet cooperative communities adapted to this setting. We suggest that these communities stimulate cooperation by expression of functions related to ecological traits, such as aggregate or biofilm formation, while alleviating the burden on microorganisms producing compounds or functions that provide a collective benefit by facilitating reciprocal promiscuous metabolic partnerships with other members of the community. We hypothesize that an episodic lifestyle enabled by reversible bacteriostatic functions ensures the subsistence of the oligotrophic deep groundwater microbiome.},
}

Biodiversity
Databases, Genetic
*Energy Metabolism
Gene Expression Regulation
Groundwater/*microbiology
Isoelectric Point
Metagenome
*Microbiota/genetics
Phylogeny
Transcription, Genetic
Transcriptome/genetics

@article {pmid34214077,
year = {2021},
author = {Weinstein, BG and Graves, SJ and Marconi, S and Singh, A and Zare, A and Stewart, D and Bohlman, SA and White, EP},
title = {A benchmark dataset for canopy crown detection and delineation in co-registered airborne RGB, LiDAR and hyperspectral imagery from the National Ecological Observation Network.},
journal = {PLoS computational biology},
volume = {17},
number = {7},
pages = {e1009180},
pmid = {34214077},
issn = {1553-7358},
abstract = {Broad scale remote sensing promises to build forest inventories at unprecedented scales. A crucial step in this process is to associate sensor data into individual crowns. While dozens of crown detection algorithms have been proposed, their performance is typically not compared based on standard data or evaluation metrics. There is a need for a benchmark dataset to minimize differences in reported results as well as support evaluation of algorithms across a broad range of forest types. Combining RGB, LiDAR and hyperspectral sensor data from the USA National Ecological Observatory Network's Airborne Observation Platform with multiple types of evaluation data, we created a benchmark dataset to assess crown detection and delineation methods for canopy trees covering dominant forest types in the United States. This benchmark dataset includes an R package to standardize evaluation metrics and simplify comparisons between methods. The benchmark dataset contains over 6,000 image-annotated crowns, 400 field-annotated crowns, and 3,000 canopy stem points from a wide range of forest types. In addition, we include over 10,000 training crowns for optional use. We discuss the different evaluation data sources and assess the accuracy of the image-annotated crowns by comparing annotations among multiple annotators as well as overlapping field-annotated crowns. We provide an example submission and score for an open-source algorithm that can serve as a baseline for future methods.},
}

@article {pmid34181792,
year = {2021},
author = {Mairal, M and Chown, SL and Shaw, J and Chala, D and Chau, JH and Hui, C and Kalwij, JM and Münzbergová, Z and Jansen van Vuuren, B and Le Roux, JJ},
title = {Human activity strongly influences genetic dynamics of the most widespread invasive plant in the sub-Antarctic.},
journal = {Molecular ecology},
volume = {},
number = {},
pages = {},
doi = {10.1111/mec.16045},
pmid = {34181792},
issn = {1365-294X},
support = {110728//South African Agency for Science and Technology Advancement/ ; },
abstract = {The link between the successful establishment of alien species and propagule pressure is well-documented. Less known is how humans influence the post-introduction dynamics of invasive alien populations. The latter requires studying parallel invasions by the same species in habitats that are differently impacted by humans. We analysed microsatellite and genome size variation, and then compared the genetic diversity and structure of invasive Poa annua L. on two sub-Antarctic islands: human-occupied Marion Island and unoccupied Prince Edward Island. We also carried out niche modelling to map the potential distribution of the species on both islands. We found high levels of genetic diversity and evidence for extensive admixture between genetically distinct lineages of P. annua on Marion Island. By contrast, the Prince Edward Island populations showed low genetic diversity, no apparent admixture, and had smaller genomes. On both islands, high genetic diversity was apparent at human landing sites, and on Marion Island, also around human settlements, suggesting that these areas received multiple introductions and/or acted as initial introduction sites and secondary sources (bridgeheads) for invasive populations. More than 70 years of continuous human activity associated with a meteorological station on Marion Island led to a distribution of this species around human settlements and along footpaths, which facilitates ongoing gene flow among geographically separated populations. By contrast, this was not the case for Prince Edward Island, where P. annua populations showed high genetic structure. The high levels of genetic variation and admixture in P. annua facilitated by human activity, coupled with high habitat suitability on both islands, suggest that P. annua is likely to increase its distribution and abundance in the future.},
}

@article {pmid34151345,
year = {2021},
author = {Tanner, RL and Grover, N and Anderson, ML and Crocker, KC and Dutta, S and Horner, AM and Hough, LE and Moore, TY and Rosen, GL and Whitney, KS and Summers, AP},
title = {Examining cultural structures and functions in biology.},
journal = {Integrative and comparative biology},
volume = {},
number = {},
pages = {},
doi = {10.1093/icb/icab140},
pmid = {34151345},
issn = {1557-7023},
abstract = {Scientific culture and structure organize biological sciences in many ways. We make choices concerning the systems and questions we study. Our research then amplifies these choices into factors that influence the directions of future research by shaping our hypotheses, data analyses, interpretation, publication venues, and dissemination via other methods. But our choices are shaped by more than objective curiosity-we are influenced by cultural paradigms reinforced by societal upbringing and scientific indoctrination during training. This extends to the systems and data that we consider to be ethically obtainable or available for study, and who is considered qualified to do research, ask questions, and communicate about research. It is also influenced by the profitability of concepts like open-access-a system designed to improve equity, but which enacts gatekeeping in unintended but foreseeable ways. Creating truly integrative biology programs will require more than intentionally developing departments or institutes that allow overlapping expertise in two or more subfields of biology. Interdisciplinary work requires the expertise of large and diverse teams of scientists working together-this is impossible without an authentic commitment to addressing, not denying, racism when practiced by individuals, institutions, and cultural aspects of academic science. We have identified starting points for remedying how our field has discouraged and caused harm, but we acknowledge there is a long path forward. This path must be paved with field-wide solutions and institutional buy-in: our solutions must match the scale of the problem. Together, we can integrate-not reintegrate-the nuances of biology into our field.},
}

@article {pmid34140494,
year = {2021},
author = {Borko, Š and Trontelj, P and Seehausen, O and Moškrič, A and Fišer, C},
title = {A subterranean adaptive radiation of amphipods in Europe.},
journal = {Nature communications},
volume = {12},
number = {1},
pages = {3688},
pmid = {34140494},
issn = {2041-1723},
mesh = {*Adaptation, Physiological ; Amphipoda/*anatomy & histology/*genetics/physiology ; Animals ; Biodiversity ; *Biological Evolution ; Databases, Chemical ; Ecosystem ; Europe ; Europe, Eastern ; Evolution, Molecular ; *Genetic Speciation ; Phenotype ; Phylogeny ; },
abstract = {Adaptive radiations are bursts of evolutionary species diversification that have contributed to much of the species diversity on Earth. An exception is modern Europe, where descendants of ancient adaptive radiations went extinct, and extant adaptive radiations are small, recent and narrowly confined. However, not all legacy of old radiations has been lost. Subterranean environments, which are dark and food-deprived, yet buffered from climate change, have preserved ancient lineages. Here we provide evidence of an entirely subterranean adaptive radiation of the amphipod genus Niphargus, counting hundreds of species. Our modelling of lineage diversification and evolution of morphological and ecological traits using a time-calibrated multilocus phylogeny suggests a major adaptive radiation, comprised of multiple subordinate adaptive radiations. Their spatio-temporal origin coincides with the uplift of carbonate massifs in South-Eastern Europe 15 million years ago. Emerging subterranean environments likely provided unoccupied, predator-free space, constituting ecological opportunity, a key trigger of adaptive radiation. This discovery sheds new light on the biodiversity of Europe.},
}

*Adaptation, Physiological
Amphipoda/*anatomy & histology/*genetics/physiology
Animals
Biodiversity
*Biological Evolution
Databases, Chemical
Ecosystem
Europe
Europe, Eastern
Evolution, Molecular
*Genetic Speciation
Phenotype
Phylogeny

@article {pmid34081744,
year = {2021},
author = {Colella, JP and Bates, J and Burneo, SF and Camacho, MA and Carrion Bonilla, C and Constable, I and D'Elía, G and Dunnum, JL and Greiman, S and Hoberg, EP and Lessa, E and Liphardt, SW and Londoño-Gaviria, M and Losos, E and Lutz, HL and Ordóñez Garza, N and Peterson, AT and Martin, ML and Ribas, CC and Struminger, B and Torres-Pérez, F and Thompson, CW and Weksler, M and Cook, JA},
title = {Leveraging natural history biorepositories as a global, decentralized, pathogen surveillance network.},
journal = {PLoS pathogens},
volume = {17},
number = {6},
pages = {e1009583},
pmid = {34081744},
issn = {1553-7374},
mesh = {Animals ; Animals, Wild ; Biodiversity ; Biological Specimen Banks/*organization & administration/standards/supply & distribution/trends ; COVID-19/epidemiology ; *Communicable Disease Control/methods/organization & administration/standards ; Communicable Diseases, Emerging/epidemiology/microbiology/*prevention & control/virology ; Community Networks/*organization & administration/standards/supply & distribution/trends ; Disaster Planning/methods/organization & administration/standards ; Geography ; Global Health/standards/trends ; Humans ; Medical Countermeasures ; Pandemics/prevention & control ; Public Health ; Public Health Surveillance/*methods ; Risk Assessment ; SARS-CoV-2/physiology ; Zoonoses/epidemiology/prevention & control ; },
abstract = {The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic reveals a major gap in global biosecurity infrastructure: a lack of publicly available biological samples representative across space, time, and taxonomic diversity. The shortfall, in this case for vertebrates, prevents accurate and rapid identification and monitoring of emerging pathogens and their reservoir host(s) and precludes extended investigation of ecological, evolutionary, and environmental associations that lead to human infection or spillover. Natural history museum biorepositories form the backbone of a critically needed, decentralized, global network for zoonotic pathogen surveillance, yet this infrastructure remains marginally developed, underutilized, underfunded, and disconnected from public health initiatives. Proactive detection and mitigation for emerging infectious diseases (EIDs) requires expanded biodiversity infrastructure and training (particularly in biodiverse and lower income countries) and new communication pipelines that connect biorepositories and biomedical communities. To this end, we highlight a novel adaptation of Project ECHO's virtual community of practice model: Museums and Emerging Pathogens in the Americas (MEPA). MEPA is a virtual network aimed at fostering communication, coordination, and collaborative problem-solving among pathogen researchers, public health officials, and biorepositories in the Americas. MEPA now acts as a model of effective international, interdisciplinary collaboration that can and should be replicated in other biodiversity hotspots. We encourage deposition of wildlife specimens and associated data with public biorepositories, regardless of original collection purpose, and urge biorepositories to embrace new specimen sources, types, and uses to maximize strategic growth and utility for EID research. Taxonomically, geographically, and temporally deep biorepository archives serve as the foundation of a proactive and increasingly predictive approach to zoonotic spillover, risk assessment, and threat mitigation.},
}

Animals
Animals, Wild
Biodiversity
Biological Specimen Banks/*organization & administration/standards/supply & distribution/trends
COVID-19/epidemiology
*Communicable Disease Control/methods/organization & administration/standards
Communicable Diseases, Emerging/epidemiology/microbiology/*prevention & control/virology
Community Networks/*organization & administration/standards/supply & distribution/trends
Disaster Planning/methods/organization & administration/standards
Geography
Global Health/standards/trends
Humans
Medical Countermeasures
Pandemics/prevention & control
Public Health
Public Health Surveillance/*methods
Risk Assessment
SARS-CoV-2/physiology
Zoonoses/epidemiology/prevention & control

@article {pmid34070673,
year = {2021},
author = {Cadar, D and Schmidt-Chanasit, J and Tappe, D},
title = {Genomic and Micro-Evolutionary Features of Mammalian 2 orthobornavirus (Variegated Squirrel Bornavirus 1, VSBV-1).},
journal = {Microorganisms},
volume = {9},
number = {6},
pages = {},
pmid = {34070673},
issn = {2076-2607},
support = {01KI2005C//German Federal Ministry of Education and Research/ ; },
abstract = {Mammalian 2 orthobornavirus (VSBV-1) is an emerging zoonotic pathogen discovered in several exotic squirrel species and associated with fatal human encephalitis. The dynamics of VSBV-1 spread and evolution in its presumed natural hosts are unknown. Here, we present the phylogeny, micro-evolution, cross-species transmission and spread of VSBV-1 at a temporal and spatial resolution within the limits of animal husbandry. The results showed that VSBV-1 can be classified into six distinct groups and that the most recent common ancestor of the known German strains emerged at least 20 years ago. We here demonstrate that the genetic diversity of the VSBV-1 groups is shaped primarily by in situ evolution and most of the amino acid changes are deleterious polymorphisms removed by purifying selection. Evidence of adaptive evolution has been found in the G and L genes which might have an influence on transmission fitness. Furthermore, there was also evidence for some form of adaptive changes in the glycoprotein which suggests that many sites might be subjected to positive pressure evolving under episodic directional selection, indicating past occurrence of positive selection. Host switching events were detected as dominant evolutionary mechanisms driving the virus-host associations. Virus spread by animal trade followed by subsequent local micro-evolution in zoos and holdings is responsible for diversifying strains. Time-resolved phylogeny indicated that Prevost's squirrels might be the original squirrel species carrying and seeding the virus in Germany. This study provides the first insight into the ecology and micro-evolutionary dynamics of this novel viral pathogen in the captive exotic squirrel population under artificial ecological conditions (zoos and animal husbandry) and co-housing of different squirrel species.},
}

@article {pmid34021563,
year = {2021},
author = {Wright, ES and Gupta, R and Vetsigian, KH},
title = {Multi-stable bacterial communities exhibit extreme sensitivity to initial conditions.},
journal = {FEMS microbiology ecology},
volume = {97},
number = {6},
pages = {},
doi = {10.1093/femsec/fiab073},
pmid = {34021563},
issn = {1574-6941},
mesh = {Bacteria/genetics ; *Microbiota ; *Models, Biological ; Population Dynamics ; },
abstract = {Microbial communities can have dramatically different compositions even among similar environments. This might be due to the existence of multiple alternative stable states, yet there exists little experimental evidence supporting this possibility. Here, we gathered a large collection of absolute population abundances capturing population dynamics in one- to four-strain communities of soil bacteria with a complex life cycle in a feast-or-famine environment. This dataset led to several observations: (i) some pairwise competitions resulted in bistability with a separatrix near a 1:1 initial ratio across a range of population densities; (ii) bistability propagated to multi-stability in multispecies communities; and (iii) replicate microbial communities reached different stable states when starting close to initial conditions separating basins of attraction, indicating finite-sized regions where the dynamics are unpredictable. The generalized Lotka-Volterra equations qualitatively captured most competition outcomes but were unable to quantitatively recapitulate the observed dynamics. This was partly due to complex and diverse growth dynamics in monocultures that ranged from Allee effects to nonmonotonic behaviors. Overall, our results highlight that multi-stability might be generic in multispecies communities and, combined with ecological noise, can lead to unpredictable community assembly, even in simple environments.},
}

Bacteria/genetics
*Microbiota
*Models, Biological
Population Dynamics

@article {pmid34011982,
year = {2021},
author = {Rabosky, DL and Benson, RBJ},
title = {Ecological and biogeographic drivers of biodiversity cannot be resolved using clade age-richness data.},
journal = {Nature communications},
volume = {12},
number = {1},
pages = {2945},
pmid = {34011982},
issn = {2041-1723},
mesh = {Animals ; *Biodiversity ; *Biological Evolution ; Data Interpretation, Statistical ; *Ecosystem ; Extinction, Biological ; Fossils ; Genetic Speciation ; Mathematical Concepts ; *Models, Biological ; Paleontology/methods/statistics & numerical data ; Phylogeny ; Phylogeography ; Time Factors ; },
abstract = {Estimates of evolutionary diversification rates - speciation and extinction - have been used extensively to explain global biodiversity patterns. Many studies have analyzed diversification rates derived from just two pieces of information: a clade's age and its extant species richness. This "age-richness rate" (ARR) estimator provides a convenient shortcut for comparative studies, but makes strong assumptions about the dynamics of species richness through time. Here we demonstrate that use of the ARR estimator in comparative studies is problematic on both theoretical and empirical grounds. We prove mathematically that ARR estimates are non-identifiable: there is no information in the data for a single clade that can distinguish a process with positive net diversification from one where net diversification is zero. Using paleontological time series, we demonstrate that the ARR estimator has no predictive ability for real datasets. These pathologies arise because the ARR inference procedure yields "point estimates" that have been computed under a saturated statistical model with zero degrees of freedom. Although ARR estimates remain useful in some contexts, they should be avoided for comparative studies of diversification and species richness.},
}

Animals
*Biodiversity
*Biological Evolution
Data Interpretation, Statistical
*Ecosystem
Extinction, Biological
Fossils
Genetic Speciation
Mathematical Concepts
*Models, Biological
Paleontology/methods/statistics & numerical data
Phylogeny
Phylogeography
Time Factors

@article {pmid34006840,
year = {2021},
author = {Karatayev, VA and Vasconcelos, VV and Lafuite, AS and Levin, SA and Bauch, CT and Anand, M},
title = {A well-timed shift from local to global agreements accelerates climate change mitigation.},
journal = {Nature communications},
volume = {12},
number = {1},
pages = {2908},
pmid = {34006840},
issn = {2041-1723},
abstract = {Recent attempts at cooperating on climate change mitigation highlight the limited efficacy of large-scale negotiations, when commitment to mitigation is costly and initially rare. Deepening existing voluntary mitigation pledges could require more stringent, legally-binding agreements that currently remain untenable at the global scale. Building-blocks approaches promise greater success by localizing agreements to regions or few-nation summits, but risk slowing mitigation adoption globally. Here, we show that a well-timed policy shift from local to global legally-binding agreements can dramatically accelerate mitigation compared to using only local, only global, or both agreement types simultaneously. This highlights the scale-specific roles of mitigation incentives: local agreements promote and sustain mitigation commitments in early-adopting groups, after which global agreements rapidly draw in late-adopting groups. We conclude that focusing negotiations on local legally-binding agreements and, as these become common, a renewed pursuit of stringent, legally-binding world-wide agreements could best overcome many current challenges facing climate mitigation.},
}

@article {pmid33961346,
year = {2021},
author = {Baptiste, YM},
title = {Digital Feast and Physical Famine: The Altered Ecosystem of Anatomy Education due to the Covid-19 Pandemic.},
journal = {Anatomical sciences education},
volume = {14},
number = {4},
pages = {399-407},
doi = {10.1002/ase.2098},
pmid = {33961346},
issn = {1935-9780},
mesh = {Anatomy/*education ; *COVID-19 ; *Cadaver ; Ecology ; Education, Distance ; Humans ; Visible Human Projects ; },
abstract = {This article explores the effects of the coronavirus disease 2019 (Covid-19) pandemic on the evolution of both physical and digital cadavers within the unique ecosystem of the anatomy laboratory. A physical cadaver is a traditional and established learning tool in anatomy education, whereas a digital cadaver is a relatively recent phenomenon. The Covid-19 pandemic presented a major disturbance and disruption to all levels and types of education, including anatomy education. This article constructs a conceptual metaphor between a typical anatomy laboratory and an ecosystem, and considers the affordances, constraints, and changing roles of physical and digital cadavers within anatomy education through an ecological lens. Adaptation of physical and digital cadavers during the disturbance is analyzed, and the resiliency of digital cadaver technology is recognized. The evolving role of the digital cadaver is considered in terms of increasing accessibility and inclusivity within the anatomy laboratory ecosystem of the future.},
}

Anatomy/*education
*COVID-19
*Cadaver
Ecology
Education, Distance
Humans
Visible Human Projects

@article {pmid33955689,
year = {2021},
author = {Huettmann, F and Hueffer, K},
title = {The ecological niche of reported rabies cases in Canada is similar to Alaska.},
journal = {Zoonoses and public health},
volume = {68},
number = {6},
pages = {677-683},
doi = {10.1111/zph.12835},
pmid = {33955689},
issn = {1863-2378},
mesh = {Alaska/epidemiology ; Animals ; *Animals, Wild ; Canada/epidemiology ; Demography ; Ecosystem ; Geographic Information Systems ; Humans ; *Livestock ; *Models, Biological ; *Pets ; Rabies/epidemiology/*veterinary ; Viral Zoonoses ; },
abstract = {The ecology of rabies in the circumpolar North is still not well understood. We use machine learning, a geographic information system and data explicit in time and space obtained for reported rabies cases and predictors in Canada to develop an ecological niche model for the distribution of reported rabies cases in the American north (Alaska and Canada). The ecological niche model based on reported rabies cases in Canada predicted reported rabies cases in Alaska, suggesting a rather robust inference and even similar drivers on a continental scale. As found in Alaska, proximity to human infrastructure-specifically along the coast-was a strong predictor in the detection of rabies cases in Canada. Also, this finding highlights the need for a more systematic landscape sampling for rabies infection model predictions to better understand and tackle the ecology of this important zoonotic disease on a landscape scale at some distance from human infrastructure in wilderness areas.},
}

Alaska/epidemiology
Animals
*Animals, Wild
Canada/epidemiology
Demography
Ecosystem
Geographic Information Systems
Humans
*Livestock
*Models, Biological
*Pets
Rabies/epidemiology/*veterinary
Viral Zoonoses

@article {pmid33948558,
year = {2021},
author = {Santos, FP and Levin, SA and Vasconcelos, VV},
title = {Biased perceptions explain collective action deadlocks and suggest new mechanisms to prompt cooperation.},
journal = {iScience},
volume = {24},
number = {4},
pages = {102375},
pmid = {33948558},
issn = {2589-0042},
abstract = {When individuals face collective action problems, their expectations about others' willingness to contribute affect their motivation to cooperate. Individuals, however, often misperceive the cooperation levels in a population. In the context of climate action, people underestimate the pro-climate positions of others. Designing incentives to enable cooperation and a sustainable future must thereby consider how social perception biases affect collective action. We propose a theoretical model and investigate the effect of social perception bias in non-linear public goods games. We show that different types of bias play a distinct role in cooperation dynamics. False uniqueness (underestimating own views) and false consensus (overestimating own views) both explain why communities get locked in suboptimal states. Such dynamics also impact the effectiveness of typical monetary incentives, such as fees. Our work contributes to understanding how targeting biases, e.g., by changing the information available to individuals, can comprise a fundamental mechanism to prompt collective action.},
}

@article {pmid33911920,
year = {2021},
author = {Nasser, M and Okely, M and Nasif, O and Alharbi, S and GadAllah, S and Al-Obaid, S and Enan, R and Bala, M and Al-Ashaal, S},
title = {Spatio-temporal analysis of Egyptian flower mantis Blepharopsis mendica (order: mantodea), with notes of its future status under climate change.},
journal = {Saudi journal of biological sciences},
volume = {28},
number = {4},
pages = {2049-2055},
pmid = {33911920},
issn = {1319-562X},
abstract = {Egyptian flower mantis Blepharopsis mendica (Order: Mantodea) is a widespread mantis species throughout the southwest Palearctic region. The ecological and geographical distribution of such interesting species is rarely known. So, through this work, habitat suitability models for its distribution through Egyptian territory were created using MaxEnt software from 90 occurrence records. One topographic (altitude) and eleven bioclimatic variables influencing the species distribution were selected to generate the models. The predicted distribution in Egypt was focused on the Delta, South Sinai, the north-eastern part of the country, and some areas in the west including Siwa Oasis. Temporal analysis between the two periods (1900-1961) and (1961-2017) show current reduction of this species distribution through Delta and its surrounding areas, may be due to urbanization. On the other hand, it increases in newly protected areas of South Sinai. Under the future climate change scenario, the MaxEnt model predicted the habitat gains for B. mendica in RCP 2.6 for 2070 and loss of habitat in RCP 8.5 for the same year. Our results can be used as a basis for conserving this species not only in Egypt, but also throughout the whole of its range, also, it show how the using of geo-information could help in studying animal ecology.},
}

@article {pmid33910068,
year = {2021},
author = {Szabó, B and Lang, Z and Kövér, S and Bakonyi, G},
title = {The inter-individual variance can provide additional information for the ecotoxicologists beside the mean.},
journal = {Ecotoxicology and environmental safety},
volume = {217},
number = {},
pages = {112260},
doi = {10.1016/j.ecoenv.2021.112260},
pmid = {33910068},
issn = {1090-2414},
mesh = {Animals ; Arthropods/*physiology ; Clutch Size ; Insecticides/*toxicity ; Phenotype ; Pyrethrins/*toxicity ; Reproduction/drug effects ; },
abstract = {The hypothesis that the inter-individual parameter variability is an unexploited area of ecotoxicology was proposed several decades ago. Although some illustrative examples were presented to support this hypothesis in the last decades, it has never been tested on an extensive, coherent database. In this study, variance changes of 105 dose-response curves were analysed. All data originated from the same experiment, where the effects of the insecticide Trebon EC were investigated in a dose-response manner on 15 traits of the collembolan Folsomia candida in four subsequent generations and two types of insecticide treatments. A consistent relationship between inter-individual variance and insecticide application was found in 2 (first clutch size and growth-reproduction trade-off) out of the 15 of the parameters. Contrary to the mean, the variance of the first clutch size showed consistent differences compared to the control. Furthermore, the variance of the growth-reproduction trade-off was consistently different from the control except in one case (F3 generation of the transgenerational treatment). Higher first clutch size variances were found in F1 and a lower one in the F2 and F3 generations than in that of the control. This overall pattern of the variance changes of the first clutch size and the trade-off seems to be a quick response to the insecticide application. In the short term, we have found that variance increased with insecticide treatment (P and F1 generation), because phenotypic variance generally increases due to environmental stress. Disruptive selection could be another mechanism between the more detoxification less reproduction strategy and the more reproduction less detoxification strategy. However, in the later generations (F2-F3) the variance decreases compared to the control, which could be because on short term selection stronger on the viability parameters and in long-term selection on reproduction becomes stronger. According to our results, analysis of the variance changes of some parameters may give information about the effects of the pesticide even when the mean does not predict any impact. Testing variance changes are important in ecotoxicology because variance change can signalise toxicant impact even when the mean does not change in certain cases.},
}

Animals
Arthropods/*physiology
Clutch Size
Insecticides/*toxicity
Phenotype
Pyrethrins/*toxicity
Reproduction/drug effects

@article {pmid33900611,
year = {2021},
author = {Ramakrishnan, M and Yrjälä, K and Satheesh, V and Zhou, MB},
title = {Bamboo Transposon Research: Current Status and Perspectives.},
journal = {Methods in molecular biology (Clifton, N.J.)},
volume = {2250},
number = {},
pages = {257-270},
pmid = {33900611},
issn = {1940-6029},
mesh = {DNA Transposable Elements/*genetics ; Databases, Genetic ; Gene Expression Regulation, Plant ; Genetic Variation ; Genome Size/genetics ; Genome, Plant/*genetics ; Genomics/*methods ; Internet ; Plant Breeding/economics/methods ; Ploidies ; Sasa/classification/*genetics ; Species Specificity ; },
abstract = {Bamboo, a fast-growing non-timber forest plant with many uses, is a valuable species for green development. However, bamboo flowering is very infrequent, extending, in general, for up to 120 years. Ecologically, bamboo species are generally better adapted to various environments than other grasses. Therefore, the species deserves a special status in what could be called Ecological Bioeconomy. An understanding of the genetic processes of bamboo can help us sustainably develop and manage bamboo forests. Transposable elements (TEs), jumping genes or transposons, are major genetic elements in plant genomes. The rapid development of the bamboo reference genome, at the chromosome level, reveals that TEs occupy over 63.24% of the genome. This is higher than found in rice, Brachypodium, and sorghum. The bamboo genome contains diverse families of TEs, which play a significant role in bamboo's biological processes including growth and development. TEs provide important clues for understanding the evolution of the bamboo genome. In this chapter, we briefly describe the current status of research on TEs in the bamboo genome, their regulation, and transposition mechanisms. Perspectives for future research are also provided.},
}

DNA Transposable Elements/*genetics
Databases, Genetic
Gene Expression Regulation, Plant
Genetic Variation
Genome Size/genetics
Genome, Plant/*genetics
Genomics/*methods
Internet
Plant Breeding/economics/methods
Ploidies
Sasa/classification/*genetics
Species Specificity

@article {pmid33846912,
year = {2021},
author = {Liu, H and Jiang, Y and Misa, R and Gao, J and Xia, M and Preusse, A and Sroka, A and Jiang, Y},
title = {Ecological environment changes of mining areas around Nansi lake with remote sensing monitoring.},
journal = {Environmental science and pollution research international},
volume = {28},
number = {32},
pages = {44152-44164},
pmid = {33846912},
issn = {1614-7499},
support = {CHN/1101176STP//Alexander von Humboldt-Stiftung/ ; 2016YFC0501105//National Research and Development Project/ ; 2018-TD-MS052//China Coal Technology & Engineering Group Project/ ; },
mesh = {China ; *Coal Mining ; Environmental Monitoring ; *Lakes ; Remote Sensing Technology ; },
abstract = {Underground mining activity has existed for more than 100 years in Nansi lake. Coal mining not only plays a supporting role in local social and economic development but also has a significant impact on the ecological environment in the region. Landsat series remote sensing data (1988~2019) are used to research the impact of coal mining on the ecological environment in Nansi lake. Then support vector machine (SVM) classifier is applied to extract the water area of the upstream lake from 1988 to 2019, and ecological environment and spatiotemporal variation characteristics are analyzed by Remote Sensing Ecology Index (RSEI). The results illustrate that the water area change is associated with annual precipitation. In terms of ecological quality, the area of poor ecological quality areas increased by 101.782 km2, while the area of good and excellent quality areas decreased by 218.988 km2 from 2009 to 2019. So compared with 2009, the ecological quality of the lake is worse in 2019, and then the reason for this change is due to large-scale underground mining. Therefore, the coal mines from the natural reserve may be closed or limited to the mining boundary for protecting the lake's ecological environment.},
}

China
*Coal Mining
Environmental Monitoring
*Lakes
Remote Sensing Technology

@article {pmid33808463,
year = {2021},
author = {Pushkareva, E and Sommer, V and Barrantes, I and Karsten, U},
title = {Diversity of Microorganisms in Biocrusts Surrounding Highly Saline Potash Tailing Piles in Germany.},
journal = {Microorganisms},
volume = {9},
number = {4},
pages = {},
pmid = {33808463},
issn = {2076-2607},
support = {20016/462//Deutsche Bundesstiftung Umwelt/ ; },
abstract = {Potash tailing piles located in Germany represent extremely hypersaline locations that negatively affect neighbouring environments and limit the development of higher vegetation. However, biocrusts, as cryptogamic covers, inhabit some of these areas and provide essential ecological functions, but, nevertheless, they remain poorly described. Here, we applied high-throughput sequencing (HTS) and targeted four groups of microorganisms: bacteria, cyanobacteria, fungi and other eukaryotes. The sequencing of the 16S rRNA gene revealed the dominance of Proteobacteria, Cyanobacteria and Actinobacteria. Additionally, we applied yanobacteria-specific primers for a detailed assessment of the cyanobacterial community, which was dominated by members of the filamentous orders Synechococcales and Oscillatoriales. Furthermore, the majority of reads in the studied biocrusts obtained by sequencing of the 18S rRNA gene belonged to eukaryotic microalgae. In addition, sequencing of the internal rDNA transcribed spacer region (ITS) showed the dominance of Ascomycota within the fungal community. Overall, these molecular data provided the first detailed overview of microorganisms associated with biocrusts inhabiting highly saline potash tailing piles and showed the dissimilarities in microbial diversity among the samples.},
}