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Positional errors in species distribution modelling are not overcome by the coarser grains of analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F22%3A91596" target="_blank" >RIV/60460709:41330/22:91596 - isvavai.cz</a>

  • Result on the web

    <a href="https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.13956" target="_blank" >https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.13956</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/2041-210X.13956" target="_blank" >10.1111/2041-210X.13956</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Positional errors in species distribution modelling are not overcome by the coarser grains of analysis

  • Original language description

    The performance of species distribution models is known to be affected by analysis grain and positional error of species occurrences. Coarsening of the analysis grain has been suggested to compensate for positional errors. Nevertheless, this way of dealing with positional errors has never been thoroughly tested. With increasing use of finescale environmental data in SDMs, it is important to test this assumption. Models using finescale environmental data are more likely to be negatively affected by positional error as the inaccurate occurrences might easier end up in unsuitable environment. This can result in inappropriate conservation actions. Here, we examined the tradeoffs between positional error and analysis grain and provide recommendations for best practice. We generated narrow niche virtual species using environmental variables derived from LiDAR point clouds at 5 x 5 m finescale. We simulated the positional error in the range of 5 m to 99 m and evaluated the effects of several spatial grai

  • 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

    10511 - Environmental sciences (social aspects to be 5.7)

Result continuities

  • 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

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Methods in Ecology and Evolution

  • ISSN

    2041-210X

  • e-ISSN

    2041-2096

  • Volume of the periodical

    13

  • Issue of the periodical within the volume

    10

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    14

  • Pages from-to

    2289-2302

  • UT code for WoS article

    000842324500001

  • EID of the result in the Scopus database

    2-s2.0-85136912927