Accounting for multi-scale spatial autocorrelation improves performance of invasive species distribution modelling (iSDM)

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F12%3A33140015" target="_blank" >RIV/61989592:15310/12:33140015 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1111/j.1365-2699.2011.02589.x" target="_blank" >http://dx.doi.org/10.1111/j.1365-2699.2011.02589.x</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/j.1365-2699.2011.02589.x" target="_blank" >10.1111/j.1365-2699.2011.02589.x</a>

Result language

angličtina

Original language name

Accounting for multi-scale spatial autocorrelation improves performance of invasive species distribution modelling (iSDM)

Original language description

Aim Analyses of species distributions are complicated by various origins of spatial autocorrelation (SAC) in biogeographical data. SAC may be particularly important for invasive species distribution models (iSDMs) because biological invasions are strongly influenced by dispersal and colonization processes that typically create highly structured distribution patterns. We examined the efficacy of using a multi-scale framework to account for different origins of SAC and compared non-spatial models with models that accounted for SAC at multiple levels. Location We modelled the spatial distribution of an invasive forest pathogen Phytophthora ramorum in western USA. Methods We applied one conventional statistical method (GLM) and one nonparametric technique(Maxent) to a large dataset on P. ramorum occurrence (n = 3787) to develop four types of models that included environmental variables that either ignored spatial context or incorporated it at a broad scale using trend surface analysis, a

Czech name

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Czech description

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Type

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

CEP classification

EH - Ecology - communities

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2012

Confidentiality

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

Name of the periodical

Journal of Biogeography

ISSN

0305-0270

e-ISSN

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Volume of the periodical

39

Issue of the periodical within the volume

1

Country of publishing house

GB - UNITED KINGDOM

Number of pages

14

Pages from-to

42-55

UT code for WoS article

000298058200005

EID of the result in the Scopus database

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