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Disentangling vegetation diversity from climate–energy and habitat heterogeneity for explaining animal geographic patterns
Broad‐scale animal diversity patterns have been traditionally explained by hypotheses focused on climate–energy and habitat heterogeneity, without considering the direct influence of vegetation structure and composition. However, integrating these factors when considering plant–animal correlates sti...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4747316/ https://www.ncbi.nlm.nih.gov/pubmed/26900451 http://dx.doi.org/10.1002/ece3.1972 |
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author | Jiménez‐Alfaro, Borja Chytrý, Milan Mucina, Ladislav Grace, James B. Rejmánek, Marcel |
author_facet | Jiménez‐Alfaro, Borja Chytrý, Milan Mucina, Ladislav Grace, James B. Rejmánek, Marcel |
author_sort | Jiménez‐Alfaro, Borja |
collection | PubMed |
description | Broad‐scale animal diversity patterns have been traditionally explained by hypotheses focused on climate–energy and habitat heterogeneity, without considering the direct influence of vegetation structure and composition. However, integrating these factors when considering plant–animal correlates still poses a major challenge because plant communities are controlled by abiotic factors that may, at the same time, influence animal distributions. By testing whether the number and variation of plant community types in Europe explain country‐level diversity in six animal groups, we propose a conceptual framework in which vegetation diversity represents a bridge between abiotic factors and animal diversity. We show that vegetation diversity explains variation in animal richness not accounted for by altitudinal range or potential evapotranspiration, being the best predictor for butterflies, beetles, and amphibians. Moreover, the dissimilarity of plant community types explains the highest proportion of variation in animal assemblages across the studied regions, an effect that outperforms the effect of climate and their shared contribution with pure spatial variation. Our results at the country level suggest that vegetation diversity, as estimated from broad‐scale classifications of plant communities, may contribute to our understanding of animal richness and may be disentangled, at least to a degree, from climate–energy and abiotic habitat heterogeneity. |
format | Online Article Text |
id | pubmed-4747316 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-47473162016-02-19 Disentangling vegetation diversity from climate–energy and habitat heterogeneity for explaining animal geographic patterns Jiménez‐Alfaro, Borja Chytrý, Milan Mucina, Ladislav Grace, James B. Rejmánek, Marcel Ecol Evol Original Research Broad‐scale animal diversity patterns have been traditionally explained by hypotheses focused on climate–energy and habitat heterogeneity, without considering the direct influence of vegetation structure and composition. However, integrating these factors when considering plant–animal correlates still poses a major challenge because plant communities are controlled by abiotic factors that may, at the same time, influence animal distributions. By testing whether the number and variation of plant community types in Europe explain country‐level diversity in six animal groups, we propose a conceptual framework in which vegetation diversity represents a bridge between abiotic factors and animal diversity. We show that vegetation diversity explains variation in animal richness not accounted for by altitudinal range or potential evapotranspiration, being the best predictor for butterflies, beetles, and amphibians. Moreover, the dissimilarity of plant community types explains the highest proportion of variation in animal assemblages across the studied regions, an effect that outperforms the effect of climate and their shared contribution with pure spatial variation. Our results at the country level suggest that vegetation diversity, as estimated from broad‐scale classifications of plant communities, may contribute to our understanding of animal richness and may be disentangled, at least to a degree, from climate–energy and abiotic habitat heterogeneity. John Wiley and Sons Inc. 2016-02-09 /pmc/articles/PMC4747316/ /pubmed/26900451 http://dx.doi.org/10.1002/ece3.1972 Text en © 2016 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (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 Jiménez‐Alfaro, Borja Chytrý, Milan Mucina, Ladislav Grace, James B. Rejmánek, Marcel Disentangling vegetation diversity from climate–energy and habitat heterogeneity for explaining animal geographic patterns |
title | Disentangling vegetation diversity from climate–energy and habitat heterogeneity for explaining animal geographic patterns |
title_full | Disentangling vegetation diversity from climate–energy and habitat heterogeneity for explaining animal geographic patterns |
title_fullStr | Disentangling vegetation diversity from climate–energy and habitat heterogeneity for explaining animal geographic patterns |
title_full_unstemmed | Disentangling vegetation diversity from climate–energy and habitat heterogeneity for explaining animal geographic patterns |
title_short | Disentangling vegetation diversity from climate–energy and habitat heterogeneity for explaining animal geographic patterns |
title_sort | disentangling vegetation diversity from climate–energy and habitat heterogeneity for explaining animal geographic patterns |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4747316/ https://www.ncbi.nlm.nih.gov/pubmed/26900451 http://dx.doi.org/10.1002/ece3.1972 |
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