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
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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
<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