Which randomizations detect convergence and divergence in trait-based community assembly? A test of commonly used null models

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F16%3A43890832" target="_blank" >RIV/60076658:12310/16:43890832 - isvavai.cz</a>

Alternative codes found

RIV/60077344:_____/16:00471162 RIV/67985939:_____/16:00471162

Result on the web

<a href="http://onlinelibrary.wiley.com/doi/10.1111/jvs.12452/epdf" target="_blank" >http://onlinelibrary.wiley.com/doi/10.1111/jvs.12452/epdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/jvs.12452" target="_blank" >10.1111/jvs.12452</a>

Result language

angličtina

Original language name

Which randomizations detect convergence and divergence in trait-based community assembly? A test of commonly used null models

Original language description

Questions: Mechanisms of community assembly are increasingly explored by combining community and species trait data with null models. By investigating if the traits of co-existing species are more similar (trait convergence) or more dissimilar (trait divergence) than expected by chance, these tests relate observed patterns to different co-existence mechanisms. Do null models accurately detect trait convergence and divergence? Are different null models equally good at detecting these two opposing patterns? How important are the species pool and other constraints that are considered by different null models? Methods: We applied ten common randomizations to communities that were simulated in a process-based model. Results: Null models good at detecting biotic processes differed from those null models that revealed abiotic processes. In particular, limiting similarity (detected through divergence) was better detected by randomizations that release the link between species abundance and trait values, whereas environmental filtering (detected through convergence of an environmental response trait) was identified by randomizations that keep this link. In general, using species abundance data provided better results than using presence-absence data, particularly within given limited environmental conditions. Weaker competitor exclusion (detected through convergence of a competition-related trait) was only detected when no environmental filtering was acting on the simulated assembly, which points to difficulties in disentangling biotic and abiotic convergence in natural communities, especially when data are randomized across habitats. Conclusions: Overall the results manifest the importance of the pool of species over which randomizations are applied; in particular whether randomizations are conducted across or within given habitats.

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

<a href="/en/project/GAP505%2F12%2F1296" target="_blank" >GAP505/12/1296: Functional species pools: shedding light on the dark diversity and its functions</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2016

Confidentiality

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

Name of the periodical

Journal of Vegetation Science

ISSN

1100-9233

e-ISSN

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Volume of the periodical

27

Issue of the periodical within the volume

6

Country of publishing house

US - UNITED STATES

Number of pages

13

Pages from-to

1275-1287

UT code for WoS article

000389066400019

EID of the result in the Scopus database

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