Species distribution model transferability and model grain size - finer may not always be better

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F18%3A78745" target="_blank" >RIV/60460709:41320/18:78745 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1038/s41598-018-25437-1" target="_blank" >http://dx.doi.org/10.1038/s41598-018-25437-1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41598-018-25437-1" target="_blank" >10.1038/s41598-018-25437-1</a>

Result language

angličtina

Original language name

Species distribution model transferability and model grain size - finer may not always be better

Original language description

Species distribution models have been used to predict the distribution of invasive species for conservation planning. Understanding spatial transferability of niche predictions is critical to promote species-habitat conservation and forecasting areas vulnerable to invasion. Grain size of predictor variables is an important factor affecting the accuracy and transferability of species distribution models. Choice of grain size is often dependent on the type of predictor variables used and the selection of predictors sometimes rely on data availability. This study employed the MAXENT species distribution model to investigate the effect of the grain size on model transferability for an invasive plant species. We modelled the distribution of Rhododendron ponticum in Wales, U.K. and tested model performance and transferability by varying grain size (50 m, 300 m, and 1 km). MAXENT-based models are sensitive to grain size and selection of variables. We found that over-reliance on the commonly used bioclimatic

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10602 - Biology (theoretical, mathematical, thermal, cryobiology, biological rhythm), Evolutionary biology

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2018

Confidentiality

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

Name of the periodical

Scientific Reports

ISSN

2045-2322

e-ISSN

—

Volume of the periodical

8

Issue of the periodical within the volume

MAY2018

Country of publishing house

GB - UNITED KINGDOM

Number of pages

9

Pages from-to

1-9

UT code for WoS article

000431623800038

EID of the result in the Scopus database

2-s2.0-85046877983