DIVÍŠEK, Jan, David STORCH, David ZELENÝ and Martin CULEK. Towards the spatial coherence of biogeographical regionalizations at subcontinental and landscape scales. Journal of Biogeography. 2016, vol. 43, No 12, p. 2489-2501. ISSN 0305-0270. Available from: https://dx.doi.org/10.1111/jbi.12832.
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Basic information
Original name Towards the spatial coherence of biogeographical regionalizations at subcontinental and landscape scales
Authors DIVÍŠEK, Jan (203 Czech Republic, guarantor, belonging to the institution), David STORCH (203 Czech Republic), David ZELENÝ (203 Czech Republic, belonging to the institution) and Martin CULEK (203 Czech Republic, belonging to the institution).
Edition Journal of Biogeography, 2016, 0305-0270.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10600 1.6 Biological sciences
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW Publikace na webu vydavatele
Impact factor Impact factor: 4.248
RIV identification code RIV/00216224:14310/16:00088217
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1111/jbi.12832
UT WoS 000388870000016
Keywords in English beta diversity;biogeographical regions;birds;classification analysis;distance decay of similarity;endemism;mammals;spatial scale;species distribution
Tags AKR, rivok
Tags International impact, Reviewed
Changed by Changed by: RNDr. Martin Culek, Ph.D., učo 31170. Changed: 15/3/2018 16:35.
Abstract
Aim: One of the fundamental tools in biogeography is the classification of the Earth surface into spatially coherent units based on assemblage distinctiveness. However, spatial coherence of biogeographical regions may be scale-dependent, that is, it may change with changing the size of spatial units used. We ask (1) how the clusters resulting from the classification of animal assemblages at different spatial scales differ in their spatial coherence, (2) whether there are geographical trends in the patterns of spatial coherence, and (3) what factors drive these patterns at different scales and in different areas of Europe. Location: Europe. Methods: We used data from distribution atlases at two spatial scales (50 × 50 km and c. 10 × 10 km) and, for each scale, we selected four different areas across Europe, each of them covered by 250 grid cells. We classified each area based on the distributions of mammals (coarser scale only) and birds (both scales). Subsequently, we calculated the spatial coherence of resulting clusters and correlated it with environmental factors and geographical distance. Results: Coarse-scale classifications provided more spatially coherent clusters than the classifications at the finer scale and this pattern was closely related to different strength of distance decay of similarity in the species composition at different scales. Spatial coherence revealed latitudinal trends, so that coarse-scale clusters were more spatially coherent in northern Europe. Geographical distance was the best predictor of spatial patterns at the coarser scale, although this effect was strong only in central and northern Europe. At the finer scale, topography and land cover composition were the most important. Main conclusions: Spatial coherence of biogeographical regionalizations depends on scale and varies geographically. It is closely related to different beta diversity patterns at different scales and in different areas. Heterogeneous areas with high beta diversity and endemism reveal more complex patterns than areas characterized by lower beta diversity but a stronger relationship between beta diversity and distance, and consequently coherent clusters. If the development of the species distribution databases provides fine-resolution data covering large areas in the future, the issue of the scale of biogeographical regionalizations will probably become even more crucial.
Links
GAP505/12/1022, research and development projectName: Beta diverzita rostlinných společenstev podél omezených ekologických gradientů
Investor: Czech Science Foundation
MUNI/A/1315/2015, interní kód MUName: Integrovaný výzkum environmentálních změn v krajinné sféře Země
Investor: Masaryk University, Category A
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