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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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