Downscaling the environmental associations and spatial patterns of species richness

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11620%2F14%3A10285286" target="_blank" >RIV/00216208:11620/14:10285286 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1890/13-0805.1" target="_blank" >http://dx.doi.org/10.1890/13-0805.1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1890/13-0805.1" target="_blank" >10.1890/13-0805.1</a>

Result language
angličtina
Original language name
Downscaling the environmental associations and spatial patterns of species richness
Original language description
We introduce a method that enables the estimation of species richness environment association and prediction of geographic patterns of species richness at grains finer than the original grain of observation. The method is based on a hierarchical model that uses coarse-grain values of species richness and fine-grain environmental data as input. In the model, the (unobserved) fine-grain species richness is linked to the observed fine-grain environment and upscaled using a simple species area relationship(SAR). The upscaled values are then stochastically linked to the observed coarse-grain species richness. We tested the method on Southern African Bird Atlas data by downscaling richness from 2 degrees to 0.25 degrees (similar to 250 km to similar to 30 km) resolution. When prior knowledge of the SAR slope (average species turnover within coarse-grain cells) was available, the method predicted the fine-grain relationship between richness and environment and provided fine-grain predictions
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
EH - Ecology - communities
OECD FORD branch
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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