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Spatial and taxonomic biases in bat records: Drivers and conservation implications in a megadiverse country
Biases in data availability have serious consequences on scientific inferences that can be derived. The potential consequences of these biases could be more detrimental in the less‐studied megadiverse regions, often characterized by high biodiversity and serious risks of human threats, as conservati...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953659/ https://www.ncbi.nlm.nih.gov/pubmed/31938508 http://dx.doi.org/10.1002/ece3.5848 |
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author | Zamora‐Gutierrez, Veronica Amano, Tatsuya Jones, Kate E. |
author_facet | Zamora‐Gutierrez, Veronica Amano, Tatsuya Jones, Kate E. |
author_sort | Zamora‐Gutierrez, Veronica |
collection | PubMed |
description | Biases in data availability have serious consequences on scientific inferences that can be derived. The potential consequences of these biases could be more detrimental in the less‐studied megadiverse regions, often characterized by high biodiversity and serious risks of human threats, as conservation and management actions could be misdirected. Here, focusing on 134 bat species in Mexico, we analyze spatial and taxonomic biases and their drivers in occurrence data; and identify priority areas for further data collection which are currently under‐sampled or at future environmental risk. We collated a comprehensive database of 26,192 presence‐only bat records in Mexico to characterize taxonomic and spatial biases and relate them to species' characteristics (range size and foraging behavior). Next, we examined variables related to accessibility, species richness and security to explain the spatial patterns in occurrence records. Finally, we compared the spatial distributions of existing data and future threats to these species to highlight those regions that are likely to experience an increased level of threats but are currently under‐surveyed. We found taxonomic biases, where species with wider geographical ranges and narrow‐space foragers (species easily captured with traditional methods), had more occurrence data. There was a significant oversampling toward tropical regions, and the presence and number of records was positively associated with areas of high topographic heterogeneity, road density, urban, and protected areas, and negatively associated with areas which were predicted to have future increases in temperature and precipitation. Sampling efforts for Mexican bats appear to have focused disproportionately on easily captured species, tropical regions, areas of high species richness and security; leading to under‐sampling in areas of high future threats. These biases could substantially influence the assessment of current status of, and future anthropogenic impacts on, this diverse species group in a tropical megadiverse country. |
format | Online Article Text |
id | pubmed-6953659 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69536592020-01-14 Spatial and taxonomic biases in bat records: Drivers and conservation implications in a megadiverse country Zamora‐Gutierrez, Veronica Amano, Tatsuya Jones, Kate E. Ecol Evol Original Research Biases in data availability have serious consequences on scientific inferences that can be derived. The potential consequences of these biases could be more detrimental in the less‐studied megadiverse regions, often characterized by high biodiversity and serious risks of human threats, as conservation and management actions could be misdirected. Here, focusing on 134 bat species in Mexico, we analyze spatial and taxonomic biases and their drivers in occurrence data; and identify priority areas for further data collection which are currently under‐sampled or at future environmental risk. We collated a comprehensive database of 26,192 presence‐only bat records in Mexico to characterize taxonomic and spatial biases and relate them to species' characteristics (range size and foraging behavior). Next, we examined variables related to accessibility, species richness and security to explain the spatial patterns in occurrence records. Finally, we compared the spatial distributions of existing data and future threats to these species to highlight those regions that are likely to experience an increased level of threats but are currently under‐surveyed. We found taxonomic biases, where species with wider geographical ranges and narrow‐space foragers (species easily captured with traditional methods), had more occurrence data. There was a significant oversampling toward tropical regions, and the presence and number of records was positively associated with areas of high topographic heterogeneity, road density, urban, and protected areas, and negatively associated with areas which were predicted to have future increases in temperature and precipitation. Sampling efforts for Mexican bats appear to have focused disproportionately on easily captured species, tropical regions, areas of high species richness and security; leading to under‐sampling in areas of high future threats. These biases could substantially influence the assessment of current status of, and future anthropogenic impacts on, this diverse species group in a tropical megadiverse country. John Wiley and Sons Inc. 2019-11-26 /pmc/articles/PMC6953659/ /pubmed/31938508 http://dx.doi.org/10.1002/ece3.5848 Text en © 2019 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Zamora‐Gutierrez, Veronica Amano, Tatsuya Jones, Kate E. Spatial and taxonomic biases in bat records: Drivers and conservation implications in a megadiverse country |
title | Spatial and taxonomic biases in bat records: Drivers and conservation implications in a megadiverse country |
title_full | Spatial and taxonomic biases in bat records: Drivers and conservation implications in a megadiverse country |
title_fullStr | Spatial and taxonomic biases in bat records: Drivers and conservation implications in a megadiverse country |
title_full_unstemmed | Spatial and taxonomic biases in bat records: Drivers and conservation implications in a megadiverse country |
title_short | Spatial and taxonomic biases in bat records: Drivers and conservation implications in a megadiverse country |
title_sort | spatial and taxonomic biases in bat records: drivers and conservation implications in a megadiverse country |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953659/ https://www.ncbi.nlm.nih.gov/pubmed/31938508 http://dx.doi.org/10.1002/ece3.5848 |
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