Titre
Working toward integrated models of alpine plant distribution.
Type
synthèse (review)
Institution
Externe
Périodique
Auteur(s)
Carlson, B.Z.
Auteure/Auteur
Randin, C.F.
Auteure/Auteur
Boulangeat, I.
Auteure/Auteur
Lavergne, S.
Auteure/Auteur
Thuiller, W.
Auteure/Auteur
Choler, P.
Auteure/Auteur
Liens vers les personnes
ISSN
1664-2201
Statut éditorial
Publié
Date de publication
2013
Volume
123
Numéro
2
Première page
41
Dernière page/numéro d’article
53
Langue
anglais
Résumé
Species distribution models (SDMs) have been frequently employed to forecast the response of alpine plants to global changes. Efforts to model alpine plant distribution have thus far been primarily based on a correlative approach, in which ecological processes are implicitly addressed through a statistical relationship between observed species occurrences and environmental predictors. Recent evidence, however, highlights the shortcomings of correlative SDMs, especially in alpine landscapes where plant species tend to be decoupled from atmospheric conditions in micro-topographic habitats and are particularly exposed to geomorphic disturbances. While alpine plants respond to the same limiting factors as plants found at lower elevations, alpine environments impose a particular set of scale-dependent and hierarchical drivers that shape the realized niche of species and that require explicit consideration in a modelling context. Several recent studies in the European Alps have successfully integrated both correlative and process-based elements into distribution models of alpine plants, but for the time being a single integrative modelling framework that includes all key drivers remains elusive. As a first step in working toward a comprehensive integrated model applicable to alpine plant communities, we propose a conceptual framework that structures the primary mechanisms affecting alpine plant distributions. We group processes into four categories, including multi-scalar abiotic drivers, gradient dependent species interactions, dispersal and spatial-temporal plant responses to disturbance. Finally, we propose a methodological framework aimed at developing an integrated model to better predict alpine plant distribution.
PID Serval
serval:BIB_C6A3EDF2CFB7
PMID
Date de création
2015-05-06T09:35:08.545Z
Date de création dans IRIS
2025-05-21T03:57:09Z