Habitats as predictors in species distribution models: Shall we use continuous or binary data?

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F22%3A91594" target="_blank" >RIV/60460709:41330/22:91594 - isvavai.cz</a>
Result on the web
<a href="https://onlinelibrary.wiley.com/doi/10.1111/ecog.06022" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1111/ecog.06022</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/ecog.06022" target="_blank" >10.1111/ecog.06022</a>

Result language
angličtina
Original language name
Habitats as predictors in species distribution models: Shall we use continuous or binary data?
Original language description
The representation of a land cover type (i.e. habitat) within an area is often used as an explanatory variable in species distribution models. However, it is possible that a simple binary presenceabsence of the suitable habitat might be the most important determinant of the presenceabsence of some species and, thus, be a better predictor of species occurrence than the continuous parameter (area). We hypothesize that the binary predictor is more suitable for relatively rare habitats (e.g. wetlands) while for common habitats (e.g. forests) the amount of the focal habitat is a better predictor. We used the Third Atlas of Breeding Birds in the Czech Republic as the source of species distribution data and CORINE Land Cover inventory as the source of the landcover information. To test our hypothesis, we fitted generalized linear models of 32 water and 32 forest bird species. Our results show that for water bird species, models using binary predictors (presence/absence of the habitat) performed better than
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10619 - Biodiversity conservation

Project
<a href="/en/project/SS02030018" target="_blank" >SS02030018: Center for Landscape and Biodiversity</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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