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Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases
Land-use change and intensification threaten bee populations worldwide, imperilling pollination services. Global models are needed to better characterise, project, and mitigate bees' responses to these human impacts. The available data are, however, geographically and taxonomically unrepresenta...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4980681/ https://www.ncbi.nlm.nih.gov/pubmed/27509831 http://dx.doi.org/10.1038/srep31153 |
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author | De Palma, Adriana Abrahamczyk, Stefan Aizen, Marcelo A. Albrecht, Matthias Basset, Yves Bates, Adam Blake, Robin J. Boutin, Céline Bugter, Rob Connop, Stuart Cruz-López, Leopoldo Cunningham, Saul A. Darvill, Ben Diekötter, Tim Dorn, Silvia Downing, Nicola Entling, Martin H. Farwig, Nina Felicioli, Antonio Fonte, Steven J. Fowler, Robert Franzén, Markus Goulson, Dave Grass, Ingo Hanley, Mick E. Hendrix, Stephen D. Herrmann, Farina Herzog, Felix Holzschuh, Andrea Jauker, Birgit Kessler, Michael Knight, M. E. Kruess, Andreas Lavelle, Patrick Le Féon, Violette Lentini, Pia Malone, Louise A. Marshall, Jon Pachón, Eliana Martínez McFrederick, Quinn S. Morales, Carolina L. Mudri-Stojnic, Sonja Nates-Parra, Guiomar Nilsson, Sven G. Öckinger, Erik Osgathorpe, Lynne Parra-H, Alejandro Peres, Carlos A. Persson, Anna S. Petanidou, Theodora Poveda, Katja Power, Eileen F. Quaranta, Marino Quintero, Carolina Rader, Romina Richards, Miriam H. Roulston, T’ai Rousseau, Laurent Sadler, Jonathan P. Samnegård, Ulrika Schellhorn, Nancy A. Schüepp, Christof Schweiger, Oliver Smith-Pardo, Allan H. Steffan-Dewenter, Ingolf Stout, Jane C. Tonietto, Rebecca K. Tscharntke, Teja Tylianakis, Jason M. Verboven, Hans A. F. Vergara, Carlos H. Verhulst, Jort Westphal, Catrin Yoon, Hyung Joo Purvis, Andy |
author_facet | De Palma, Adriana Abrahamczyk, Stefan Aizen, Marcelo A. Albrecht, Matthias Basset, Yves Bates, Adam Blake, Robin J. Boutin, Céline Bugter, Rob Connop, Stuart Cruz-López, Leopoldo Cunningham, Saul A. Darvill, Ben Diekötter, Tim Dorn, Silvia Downing, Nicola Entling, Martin H. Farwig, Nina Felicioli, Antonio Fonte, Steven J. Fowler, Robert Franzén, Markus Goulson, Dave Grass, Ingo Hanley, Mick E. Hendrix, Stephen D. Herrmann, Farina Herzog, Felix Holzschuh, Andrea Jauker, Birgit Kessler, Michael Knight, M. E. Kruess, Andreas Lavelle, Patrick Le Féon, Violette Lentini, Pia Malone, Louise A. Marshall, Jon Pachón, Eliana Martínez McFrederick, Quinn S. Morales, Carolina L. Mudri-Stojnic, Sonja Nates-Parra, Guiomar Nilsson, Sven G. Öckinger, Erik Osgathorpe, Lynne Parra-H, Alejandro Peres, Carlos A. Persson, Anna S. Petanidou, Theodora Poveda, Katja Power, Eileen F. Quaranta, Marino Quintero, Carolina Rader, Romina Richards, Miriam H. Roulston, T’ai Rousseau, Laurent Sadler, Jonathan P. Samnegård, Ulrika Schellhorn, Nancy A. Schüepp, Christof Schweiger, Oliver Smith-Pardo, Allan H. Steffan-Dewenter, Ingolf Stout, Jane C. Tonietto, Rebecca K. Tscharntke, Teja Tylianakis, Jason M. Verboven, Hans A. F. Vergara, Carlos H. Verhulst, Jort Westphal, Catrin Yoon, Hyung Joo Purvis, Andy |
author_sort | De Palma, Adriana |
collection | PubMed |
description | Land-use change and intensification threaten bee populations worldwide, imperilling pollination services. Global models are needed to better characterise, project, and mitigate bees' responses to these human impacts. The available data are, however, geographically and taxonomically unrepresentative; most data are from North America and Western Europe, overrepresenting bumblebees and raising concerns that model results may not be generalizable to other regions and taxa. To assess whether the geographic and taxonomic biases of data could undermine effectiveness of models for conservation policy, we have collated from the published literature a global dataset of bee diversity at sites facing land-use change and intensification, and assess whether bee responses to these pressures vary across 11 regions (Western, Northern, Eastern and Southern Europe; North, Central and South America; Australia and New Zealand; South East Asia; Middle and Southern Africa) and between bumblebees and other bees. Our analyses highlight strong regionally-based responses of total abundance, species richness and Simpson's diversity to land use, caused by variation in the sensitivity of species and potentially in the nature of threats. These results suggest that global extrapolation of models based on geographically and taxonomically restricted data may underestimate the true uncertainty, increasing the risk of ecological surprises. |
format | Online Article Text |
id | pubmed-4980681 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49806812016-08-19 Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases De Palma, Adriana Abrahamczyk, Stefan Aizen, Marcelo A. Albrecht, Matthias Basset, Yves Bates, Adam Blake, Robin J. Boutin, Céline Bugter, Rob Connop, Stuart Cruz-López, Leopoldo Cunningham, Saul A. Darvill, Ben Diekötter, Tim Dorn, Silvia Downing, Nicola Entling, Martin H. Farwig, Nina Felicioli, Antonio Fonte, Steven J. Fowler, Robert Franzén, Markus Goulson, Dave Grass, Ingo Hanley, Mick E. Hendrix, Stephen D. Herrmann, Farina Herzog, Felix Holzschuh, Andrea Jauker, Birgit Kessler, Michael Knight, M. E. Kruess, Andreas Lavelle, Patrick Le Féon, Violette Lentini, Pia Malone, Louise A. Marshall, Jon Pachón, Eliana Martínez McFrederick, Quinn S. Morales, Carolina L. Mudri-Stojnic, Sonja Nates-Parra, Guiomar Nilsson, Sven G. Öckinger, Erik Osgathorpe, Lynne Parra-H, Alejandro Peres, Carlos A. Persson, Anna S. Petanidou, Theodora Poveda, Katja Power, Eileen F. Quaranta, Marino Quintero, Carolina Rader, Romina Richards, Miriam H. Roulston, T’ai Rousseau, Laurent Sadler, Jonathan P. Samnegård, Ulrika Schellhorn, Nancy A. Schüepp, Christof Schweiger, Oliver Smith-Pardo, Allan H. Steffan-Dewenter, Ingolf Stout, Jane C. Tonietto, Rebecca K. Tscharntke, Teja Tylianakis, Jason M. Verboven, Hans A. F. Vergara, Carlos H. Verhulst, Jort Westphal, Catrin Yoon, Hyung Joo Purvis, Andy Sci Rep Article Land-use change and intensification threaten bee populations worldwide, imperilling pollination services. Global models are needed to better characterise, project, and mitigate bees' responses to these human impacts. The available data are, however, geographically and taxonomically unrepresentative; most data are from North America and Western Europe, overrepresenting bumblebees and raising concerns that model results may not be generalizable to other regions and taxa. To assess whether the geographic and taxonomic biases of data could undermine effectiveness of models for conservation policy, we have collated from the published literature a global dataset of bee diversity at sites facing land-use change and intensification, and assess whether bee responses to these pressures vary across 11 regions (Western, Northern, Eastern and Southern Europe; North, Central and South America; Australia and New Zealand; South East Asia; Middle and Southern Africa) and between bumblebees and other bees. Our analyses highlight strong regionally-based responses of total abundance, species richness and Simpson's diversity to land use, caused by variation in the sensitivity of species and potentially in the nature of threats. These results suggest that global extrapolation of models based on geographically and taxonomically restricted data may underestimate the true uncertainty, increasing the risk of ecological surprises. Nature Publishing Group 2016-08-11 /pmc/articles/PMC4980681/ /pubmed/27509831 http://dx.doi.org/10.1038/srep31153 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article De Palma, Adriana Abrahamczyk, Stefan Aizen, Marcelo A. Albrecht, Matthias Basset, Yves Bates, Adam Blake, Robin J. Boutin, Céline Bugter, Rob Connop, Stuart Cruz-López, Leopoldo Cunningham, Saul A. Darvill, Ben Diekötter, Tim Dorn, Silvia Downing, Nicola Entling, Martin H. Farwig, Nina Felicioli, Antonio Fonte, Steven J. Fowler, Robert Franzén, Markus Goulson, Dave Grass, Ingo Hanley, Mick E. Hendrix, Stephen D. Herrmann, Farina Herzog, Felix Holzschuh, Andrea Jauker, Birgit Kessler, Michael Knight, M. E. Kruess, Andreas Lavelle, Patrick Le Féon, Violette Lentini, Pia Malone, Louise A. Marshall, Jon Pachón, Eliana Martínez McFrederick, Quinn S. Morales, Carolina L. Mudri-Stojnic, Sonja Nates-Parra, Guiomar Nilsson, Sven G. Öckinger, Erik Osgathorpe, Lynne Parra-H, Alejandro Peres, Carlos A. Persson, Anna S. Petanidou, Theodora Poveda, Katja Power, Eileen F. Quaranta, Marino Quintero, Carolina Rader, Romina Richards, Miriam H. Roulston, T’ai Rousseau, Laurent Sadler, Jonathan P. Samnegård, Ulrika Schellhorn, Nancy A. Schüepp, Christof Schweiger, Oliver Smith-Pardo, Allan H. Steffan-Dewenter, Ingolf Stout, Jane C. Tonietto, Rebecca K. Tscharntke, Teja Tylianakis, Jason M. Verboven, Hans A. F. Vergara, Carlos H. Verhulst, Jort Westphal, Catrin Yoon, Hyung Joo Purvis, Andy Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases |
title | Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases |
title_full | Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases |
title_fullStr | Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases |
title_full_unstemmed | Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases |
title_short | Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases |
title_sort | predicting bee community responses to land-use changes: effects of geographic and taxonomic biases |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4980681/ https://www.ncbi.nlm.nih.gov/pubmed/27509831 http://dx.doi.org/10.1038/srep31153 |
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