Importance of data selection and filtering in species distribution models: A case study on the Cantabrian brown bear

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F22%3A92434" target="_blank" >RIV/60460709:41330/22:92434 - isvavai.cz</a>

Result on the web

<a href="https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecs2.4284" target="_blank" >https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecs2.4284</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/ecs2.4284" target="_blank" >10.1002/ecs2.4284</a>

Result language

angličtina

Original language name

Importance of data selection and filtering in species distribution models: A case study on the Cantabrian brown bear

Original language description

Species distribution models (SDMs) are powerful tools in ecology and conservation. Choosing the right environmental drivers and filtering species occurrences taking their biases into account are key factors to consider before modeling. In this case study, we address five common problems arising during the selection of input data for presence-only SDMs on an example of a generalist species: the endangered Cantabrian brown bear.

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

—

OECD FORD branch

10511 - Environmental sciences (social aspects to be 5.7)

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

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

Name of the periodical

Ecosphere

ISSN

2150-8925

e-ISSN

2150-8925

Volume of the periodical

13

Issue of the periodical within the volume

12

Country of publishing house

US - UNITED STATES

Number of pages

23

Pages from-to

1-23

UT code for WoS article

000898224100001

EID of the result in the Scopus database

2-s2.0-85145170206