How do species and data characteristics affect species distribution models and when to use environmental filtering?
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F20%3A82203" target="_blank" >RIV/60460709:41330/20:82203 - isvavai.cz</a>
Result on the web
<a href="https://www.tandfonline.com/doi/full/10.1080/13658816.2019.1615070?casa_token=J3KTnWJ1YdEAAAAA%3A6k_uWVfdp4tzVPPjFlrpwAIykyFZ5Jifkzw9My6liozdNUtD4wMzH-7qwy-LMor0fsF5tDoxdonE" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/13658816.2019.1615070?casa_token=J3KTnWJ1YdEAAAAA%3A6k_uWVfdp4tzVPPjFlrpwAIykyFZ5Jifkzw9My6liozdNUtD4wMzH-7qwy-LMor0fsF5tDoxdonE</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/13658816.2019.1615070" target="_blank" >10.1080/13658816.2019.1615070</a>
Alternative languages
Result language
angličtina
Original language name
How do species and data characteristics affect species distribution models and when to use environmental filtering?
Original language description
Species distribution models (SDMs) are widely used in ecology and conservation. However, their performance is known to be affected by a variety of factors related to species occurrence characteristics. In this study, we used a virtual species approach to overcome the difficulties associated with testing of combined effects of those factors on performance of presence only SDMs when using real data. We focused on the individual and combined roles of factors related to response variable (i.e. sample size, sampling bias, environmental filtering, species prevalence, and species response to environmental gradients). Results suggest that environmental filtering is not necessarily helpful and should not be performed blindly, without evidence of bias in species occurrences. The more gradual the species response to environmental gradients is, the greater is the model sensitivity to an inappropriate use of environmental filtering, although this sensitivity decreases with higher species prevalence. Results show
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
50804 - Library science
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Geographical Information Science
ISSN
1365-8816
e-ISSN
1362-3087
Volume of the periodical
34
Issue of the periodical within the volume
8
Country of publishing house
GB - UNITED KINGDOM
Number of pages
18
Pages from-to
1567-1584
UT code for WoS article
000544784400005
EID of the result in the Scopus database
2-s2.0-85065838593