Which bird traits most affect the goodness-of-fit of species distribution models?

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F24%3A97311" target="_blank" >RIV/60460709:41330/24:97311 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1016/j.ecolind.2023.111317" target="_blank" >http://dx.doi.org/10.1016/j.ecolind.2023.111317</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ecolind.2023.111317" target="_blank" >10.1016/j.ecolind.2023.111317</a>

Result language

angličtina

Original language name

Which bird traits most affect the goodness-of-fit of species distribution models?

Original language description

Species distribution models (SDMs) are numerical tools that combine species occurrence (or abundance) data with environmental variables, to predict the species' distribution spatially. SDMs are increasingly used for purposes of conservation planning and management of ecosystems. The model performance can be measured as the goodness-of-fit (GOF), which describes how well it fits (e.g., the discrepancy between the statistical model and the data observed). However, there is still a need for a deeper understanding of the ecological characteristics of the modelled species which can affect the accuracy of those models. Here, we compared the goodness-of-fit of SDMs, considering several ecological characteristics of 56 bird species: Most frequently used environment, body mass, home-range, species specialization index (SSI), diet specialization and detectability. All SDMs were performed on the same dataset, and the relative frequency of each species was also incorporated to account for occurrence heterogeneity. GOF of SDMs was not significantly correlated with species' frequency, home-range, body mass, degree of detectability or level of diet specialization. Overall, the birds with more accurate SDMs (GOF) were species of grasslands and the GOF was positively associated with SSI, indicating that more habitatspecialized species are better predictable. Our findings suggest that is important to focus not only on statistical issues potentially related to model performance but also on ecological characteristics of single species because can improve the performance of modellistic procedures, increasing their predictive power.

Czech name

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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

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OECD FORD branch

10619 - Biodiversity conservation

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2024

Confidentiality

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

Name of the periodical

ECOLOGICAL INDICATORS

ISSN

1470-160X

e-ISSN

1470-160X

Volume of the periodical

158

Issue of the periodical within the volume

111317

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

9

Pages from-to

1-9

UT code for WoS article

001125982600001

EID of the result in the Scopus database

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