Land use improves spatial predictions of mountain plant abundance but not presence-absence

Détails

ID Serval
serval:BIB_461AF2146366
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Land use improves spatial predictions of mountain plant abundance but not presence-absence
Périodique
Journal of Vegetation Science
Auteur(s)
Randin C.F., Jaccard H., Vittoz P., Yoccoz N.G., Guisan A.
ISSN
1100-9233
Statut éditorial
Publié
Date de publication
2009
Peer-reviewed
Oui
Volume
20
Numéro
6
Pages
996-1008
Langue
anglais
Résumé
Question Does a land-use variable improve spatial predictions of plant species presence-absence and abundance models at the regional scale in a mountain landscape? Location Western Swiss Alps. Methods Presence-absence generalized linear models (GLM) and abundance ordinal logistic regression models (LRM) were fitted to data on 78 mountain plant species, with topo-climatic and/or land-use variables available at a 25-m resolution. The additional contribution of land use when added to topo-climatic models was evaluated by: (1) assessing the changes in model fit and (2) predictive power, (3) partitioning the deviance respectively explained by the topo-climatic variables and the land-use variable through variation partitioning, and (5) comparing spatial projections. Results Land use significantly improved the fit of presence-absence models but not their predictive power. In contrast, land use significantly improved both the fit and predictive power of abundance models. Variation partitioning also showed that the individual contribution of land use to the deviance explained by presence-absence models was, on average, weak for both GLM and LRM (3.7% and 4.5%, respectively), but changes in spatial projections could nevertheless be important for some species. Conclusions In this mountain area and at our regional scale, land use is important for predicting abundance, but not presence-absence. The importance of adding land-use information depends on the species considered. Even without a marked effect on model fit and predictive performance, adding land use can affect spatial projections of both presence-absence and abundance models.
Mots-clé
Distribution, Environmental niche, Logistic regression, Mountain flora, Ordinal response, Species distribution models (SDM), Variation partitioning, Western Swiss Alps
Web of science
Création de la notice
18/01/2009 23:27
Dernière modification de la notice
03/03/2018 16:47
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