Combining food web and species distribution models for improved community projections

Détails

Ressource 1Télécharger: BIB_10F46C74CE70.P001.pdf (2449.26 [Ko])
Etat: Public
Version: de l'auteur
ID Serval
serval:BIB_10F46C74CE70
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Combining food web and species distribution models for improved community projections
Périodique
Ecology and Evolution
Auteur(s)
Pellissier L., Rohr R.P., Ndiribe C., Pradervand J.-N., Salamin N., Guisan A., Wisz M.
ISSN
2045-7758
Statut éditorial
Publié
Date de publication
2013
Peer-reviewed
Oui
Volume
3
Numéro
13
Pages
4572-4583
Langue
anglais
Résumé
The ability to model biodiversity patterns is of prime importance in this era of severe environmental crisis. Species assemblage along environmental gradient is subject to the interplay of biotic interactions in complement to abiotic environmental filtering. Accounting for complex biotic interactions for a wide array of species remains so far challenging. Here, we propose to use food web models that can infer the potential interaction links between species as a constraint in species distribution models. Using a plant-herbivore (butterfly) interaction dataset, we demonstrate that this combined approach is able to improve both species distribution and community forecasts. Most importantly, this combined approach is very useful in rendering models of more generalist species that have multiple potential interaction links, where gap in the literature may be recurrent. Our combined approach points a promising direction forward to model the spatial variation of entire species interaction networks. Our work has implications for studies of range shifting species and invasive species biology where it may be unknown how a given biota might interact with a potential invader or in future climate.
Mots-clé
Biotic interactions, ecological niche modelling, phylogeny, plant-herbivore interactions, trophic network
Web of science
Open Access
Oui
Création de la notice
10/09/2013 12:42
Dernière modification de la notice
20/08/2019 13:38
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