How do species and data characteristics affect species distribution models and when to use environmental filtering?

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F20%3A82203" target="_blank" >RIV/60460709:41330/20:82203 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.tandfonline.com/doi/full/10.1080/13658816.2019.1615070?casa_token=J3KTnWJ1YdEAAAAA%3A6k_uWVfdp4tzVPPjFlrpwAIykyFZ5Jifkzw9My6liozdNUtD4wMzH-7qwy-LMor0fsF5tDoxdonE" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/13658816.2019.1615070?casa_token=J3KTnWJ1YdEAAAAA%3A6k_uWVfdp4tzVPPjFlrpwAIykyFZ5Jifkzw9My6liozdNUtD4wMzH-7qwy-LMor0fsF5tDoxdonE</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/13658816.2019.1615070" target="_blank" >10.1080/13658816.2019.1615070</a>

Jazyk výsledku

angličtina

Název v původním jazyce

How do species and data characteristics affect species distribution models and when to use environmental filtering?

Popis výsledku v původním jazyce

Species distribution models (SDMs) are widely used in ecology and conservation. However, their performance is known to be affected by a variety of factors related to species occurrence characteristics. In this study, we used a virtual species approach to overcome the difficulties associated with testing of combined effects of those factors on performance of presence only SDMs when using real data. We focused on the individual and combined roles of factors related to response variable (i.e. sample size, sampling bias, environmental filtering, species prevalence, and species response to environmental gradients). Results suggest that environmental filtering is not necessarily helpful and should not be performed blindly, without evidence of bias in species occurrences. The more gradual the species response to environmental gradients is, the greater is the model sensitivity to an inappropriate use of environmental filtering, although this sensitivity decreases with higher species prevalence. Results show

Název v anglickém jazyce

How do species and data characteristics affect species distribution models and when to use environmental filtering?

Popis výsledku anglicky

Species distribution models (SDMs) are widely used in ecology and conservation. However, their performance is known to be affected by a variety of factors related to species occurrence characteristics. In this study, we used a virtual species approach to overcome the difficulties associated with testing of combined effects of those factors on performance of presence only SDMs when using real data. We focused on the individual and combined roles of factors related to response variable (i.e. sample size, sampling bias, environmental filtering, species prevalence, and species response to environmental gradients). Results suggest that environmental filtering is not necessarily helpful and should not be performed blindly, without evidence of bias in species occurrences. The more gradual the species response to environmental gradients is, the greater is the model sensitivity to an inappropriate use of environmental filtering, although this sensitivity decreases with higher species prevalence. Results show

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50804 - Library science

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

International Journal of Geographical Information Science

ISSN

1365-8816

e-ISSN

1362-3087

Svazek periodika

34

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

18

Strana od-do

1567-1584

Kód UT WoS článku

000544784400005

EID výsledku v databázi Scopus

2-s2.0-85065838593