Environmental filters reduce the effects of sampling bias and improve predictions of ecological niche models

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F14%3A10283359" target="_blank" >RIV/00216208:11310/14:10283359 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1111/j.1600-0587.2013.00441.x" target="_blank" >http://dx.doi.org/10.1111/j.1600-0587.2013.00441.x</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/j.1600-0587.2013.00441.x" target="_blank" >10.1111/j.1600-0587.2013.00441.x</a>

Result language

angličtina

Original language name

Environmental filters reduce the effects of sampling bias and improve predictions of ecological niche models

Original language description

Ecological niche models represent key tools in biogeography but the effects of biased sampling hinder their use. Here, we address the utility of two forms of filtering the calibration data set (geographic and environmental) to reduce the effects of sampling bias. To do so we created a virtual species, projected its niche to the Iberian Peninsula and took samples from its binary geographic distribution using several biases. We then built models for various sample sizes after applying each of the filtering approaches. While geographic filtering did not improve discriminatory ability (and sometimes worsened it), environmental filtering consistently led to better models. Models made with few but climatically filtered points performed better than those madewith many unfiltered (biased) points. Future research should address additional factors such as the complexity of the species' niche, strength of filtering, and ability to predict suitability (rather than focus purely on discrimination).

Czech name

—

Czech description

—

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

EH - Ecology - communities

OECD FORD branch

—

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2014

Confidentiality

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

Name of the periodical

Ecography

ISSN

0906-7590

e-ISSN

—

Volume of the periodical

37

Issue of the periodical within the volume

11

Country of publishing house

DK - DENMARK

Number of pages

8

Pages from-to

1084-1091

UT code for WoS article

000344645100008

EID of the result in the Scopus database

—