Disentangling biotic interactions, environmental filters, and dispersal limitation as drivers of species co-occurrence

Détails

ID Serval
serval:BIB_BF8CB1B0CF60
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Disentangling biotic interactions, environmental filters, and dispersal limitation as drivers of species co-occurrence
Périodique
Ecography
Auteur(s)
D'Amen M., Mod H., Gotelli N., Guisan A.
ISSN
1600-0587
ISSN-L
0906-7590
Statut éditorial
Publié
Date de publication
2018
Peer-reviewed
Oui
Volume
41
Numéro
8
Pages
1233-1244
Langue
anglais
Résumé
A key focus in ecology is to search for community assembly rules. Here we compare two community modelling frameworks that integrate a combination of environmental and spatial data to identify positive and negative species associations from presence-absence matrices, and incorporate an additional comparison using joint species distribution models (JSDM). The frameworks use a dichotomous logic tree that distinguishes dispersal limitation, environmental requirements, and interspecific interactions as causes of segregated or aggregated species pairs. The first framework is based on a classical null model analysis complemented by tests of spatial arrangement and environmental characteristics of the sites occupied by the
members of each species pair (Classic framework). The second framework, (SDM framework) implemented here for the first time, builds on the application of environmentally-constrained null models (or JSDMs) to partial out the influence of the environment, and includes an analysis of the geographical configuration of species ranges to account for dispersal effects.
We applied these approaches to examine plot-level species co-occurrence in plant communities sampled along a wide elevation gradient in the Swiss Alps. According to the frameworks, the majority of species pairs were randomly associated, and most of the non-random positive and negative species associations could be attributed to environmental filtering and/or dispersal limitation. These patterns were partly detected also with JSDM. Biotic interactions were detected more frequently in the SDM framework, and by JSDM, than in the Classic framework. All approaches detected species aggregation more often than segregation, perhaps reflecting the important role of facilitation in stressful high-elevation environments.
Differences between the frameworks may reflect the explicit incorporation of elevational segregation in the SDM framework and the sensitivity of JSDM to the environmental data. Nevertheless, all methods have the potential to reveal general patterns of species co-occurrence for different taxa, spatial scales, and environmental conditions.
Mots-clé
null models, plant community, Species Distribution Models
Web of science
Création de la notice
13/10/2017 18:35
Dernière modification de la notice
30/04/2019 7:35
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