Detailed Information on Publication Record
2016
Disentangling vegetation diversity from climate-energy and habitat heterogeneity for explaining animal geographic patterns
JIMÉNEZ-ALFARO, Borja, Milan CHYTRÝ, Ladislav MUCINA, James B. GRACE, Marcel REJMÁNEK et. al.Basic information
Original name
Disentangling vegetation diversity from climate-energy and habitat heterogeneity for explaining animal geographic patterns
Authors
JIMÉNEZ-ALFARO, Borja (724 Spain, guarantor, belonging to the institution), Milan CHYTRÝ (203 Czech Republic, belonging to the institution), Ladislav MUCINA (40 Austria), James B. GRACE (840 United States of America) and Marcel REJMÁNEK (840 United States of America)
Edition
Ecology and Evolution, Hoboken, Wiley, 2016, 2045-7758
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10600 1.6 Biological sciences
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 2.440
RIV identification code
RIV/00216224:14310/16:00087922
Organization unit
Faculty of Science
UT WoS
000371221600020
Keywords in English
Animal diversity; diversity patterns; energy hypothesis; habitat heterogeneity; plant community; productivity; vegetation
Tags
International impact, Reviewed
Změněno: 13/3/2018 10:24, Mgr. Lucie Jarošová, DiS.
Abstract
V originále
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.
Links
EE2.3.30.0037, research and development project |
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GB14-36079G, research and development project |
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