Titre
Modelling habitat-suitability using museum collections: an example with three sympatric Apodemus species from the Alps
Type
article
Institution
UNIL/CHUV/Unisanté + institutions partenaires
Périodique
Auteur(s)
Reutter, B.A.
Auteure/Auteur
Helfer, V.
Auteure/Auteur
Hirzel, A.H.
Auteure/Auteur
Vogel, P.
Auteure/Auteur
Liens vers les personnes
Liens vers les unités
ISSN
0305-0270
Statut éditorial
Publié
Date de publication
2003
Volume
30
Numéro
4
Première page
581
Dernière page/numéro d’article
590
Peer-reviewed
Oui
Langue
anglais
Résumé
Aim, Location Although the alpine mouse Apodemus alpicola has been given species status since 1989, no distribution map has ever been constructed for this endemic alpine rodent in Switzerland. Based on redetermined museum material and using the Ecological-Niche Factor Analysis (ENFA), habitat-suitability maps were computed for A. alpicola, and also for the co-occurring A. flavicollis and A. sylvaticus. Methods In the particular case of habitat suitability models, classical approaches (GLMs, GAMs, discriminant analysis, etc.) generally require presence and absence data. The presence records provided by museums can clearly give useful information about species distribution and ecology and have already been used for knowledge-based mapping. In this paper, we apply the ENFA which requires only presence data, to build a habitat-suitability map of three species of Apodemus on the basis of museum skull collections. Results Interspecific niche comparisons showed that A. alpicola is very specialized concerning habitat selection, meaning that its habitat differs unequivocally from the average conditions in Switzerland, while both A. flavicollis and A. sylvaticus could be considered as 'generalists' in the study area. Main conclusions Although an adequate sampling design is the best way to collect ecological data for predictive modelling, this is a time and money consuming process and there are cases where time is simply not available, as for instance with endangered species conservation. On the other hand, museums, herbariums and other similar institutions are treasuring huge presence data sets. By applying the ENFA to such data it is possible to rapidly construct a habitat suitability model. The ENFA method not only provides two key measurements regarding the niche of a species (i.e. marginality and specialization), but also has ecological meaning, and allows the scientist to compare directly the niches of different species.
PID Serval
serval:BIB_3814747C6743
Open Access
Oui
Date de création
2008-01-24T16:32:53.217Z
Date de création dans IRIS
2025-05-20T18:17:51Z
Fichier(s)![Vignette d'image]()
En cours de chargement...
Nom
BIB_3814747C6743.P001.pdf
Version du manuscrit
preprint
Taille
263.91 KB
Format
Adobe PDF
PID Serval
serval:BIB_3814747C6743.P001
URN
urn:nbn:ch:serval-BIB_3814747C67434
Somme de contrôle
(MD5):452eba4d94655a107a93bac909a300df