Downscaling of species distribution models: a hierarchical approach

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11620%2F13%3A10188930" target="_blank" >RIV/00216208:11620/13:10188930 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1111/j.2041-210x.2012.00264.x" target="_blank" >http://dx.doi.org/10.1111/j.2041-210x.2012.00264.x</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/j.2041-210x.2012.00264.x" target="_blank" >10.1111/j.2041-210x.2012.00264.x</a>

Result language
angličtina
Original language name
Downscaling of species distribution models: a hierarchical approach
Original language description
1. Reliable methods to downscale species distributions from coarse to fine grain hold great potential benefit for ecology and conservation. Existing methods have been based on partially unrealistic assumptions and yield mixed results. 2. We introduce a novel and simple approach for downscaling species distribution models based on a hierarchical modelling framework. Our approach treats unknown fine-grain presences/absences as latent variables, which are modelled as a function of observed fine-grain environmental variables and constrained by observed coarse-grain presences/absences using logistic regression. The aim is to produce downscaled distributions that (1) closely resemble the probabilities produced by a logistic model parameterized with the observed fine-grain data (the 'reference model') and (2) are improvements over conventional downscaling methods. We additionally test how fine-grain occupancy based on power-law scale-area relationships modifies the downscaling results. We tes
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
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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