Incorporating effects of habitat patches into species distribution models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F24%3A98382" target="_blank" >RIV/60460709:41330/24:98382 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1111/1365-2745.14403" target="_blank" >https://doi.org/10.1111/1365-2745.14403</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/1365-2745.14403" target="_blank" >10.1111/1365-2745.14403</a>
Alternative languages
Result language
angličtina
Original language name
Incorporating effects of habitat patches into species distribution models
Original language description
Species distribution models (SDMs) are algorithms designed to infer the distribution of species using environmental and biotic variables and have become an important tool for ecologists and conservation biologists seeking to understand the implications of environmental change. Global datasets of environmental variables at resolutions of a few metres are increasingly available. SDMs fitted using such high-resolution data allow researchers to investigate how local factors affect species occurrences at unprecedented fine spatial scales. As the spatial resolution of SDMs increases, we see a critical need to consider the characteristics of habitat types within or around raster pixels. In particular, we argue that the effects of habitat patches (EHPs, including habitat area, habitat configuration, and habitat diversity), measured focusing on patches or landscapes, have yet to be fully realized in SDMs. We provide guidelines to incorporate EHPs in SDMs. We explain why this development is important, describe approaches to properly conduct such analyses, and discuss pitfalls we foresee in testing EHPs. Synthesis. Ensuring that SDMs incorporating EHPs are properly designed will be key to increasing model predictive performance and to understanding which environmental factors influence the distribution of species at fine spatial scales. At a crucial time for nature conservation, we foresee that this will be a key step forward to understanding and protecting biodiversity.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Ecology
ISSN
0022-0477
e-ISSN
0022-0477
Volume of the periodical
112
Issue of the periodical within the volume
10
Country of publishing house
GB - UNITED KINGDOM
Number of pages
21
Pages from-to
2162-2182
UT code for WoS article
001303099100001
EID of the result in the Scopus database
2-s2.0-85202683202