Disentangling spatial and environmental effects: Flexible methods for community ecology and macroecology
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F22%3A91602" target="_blank" >RIV/60460709:41330/22:91602 - isvavai.cz</a>
Result on the web
<a href="https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/ecs2.4028" target="_blank" >https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/ecs2.4028</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/ecs2.4028" target="_blank" >10.1002/ecs2.4028</a>
Alternative languages
Result language
angličtina
Original language name
Disentangling spatial and environmental effects: Flexible methods for community ecology and macroecology
Original language description
Community ecologists and macroecologists have long sought to evaluate the importance of environmental conditions in determining species distributions, community composition, and diversity across sites. Different methods have been used to estimate species environment relationships, but their differences to jointly fit and disentangle spatial autocorrelation and structure remain poorly studied. We compared how methods in four broad families of statistical models estimated the contribution of the environment and space to variation in species occurrence and abundance. These methods included redundancy analysis (RDA), generalized linear models (GLMs), generalized additive models (GAMs), and three types of tree based machine learning (ML) methods: boosted regression trees (BRT), random forests, and regression trees. The spatial component of the model consisted of Morans eigenvector maps (MEMs in RDA, GLM, and ML), smooth spatial splines (in GAM), or tree based nonlinear modeling of spatial coordinates (in
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Ecosphere
ISSN
2150-8925
e-ISSN
2150-8925
Volume of the periodical
13
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
16
Pages from-to
1-16
UT code for WoS article
000787139500001
EID of the result in the Scopus database
2-s2.0-85128903784