Assessing habitat-suitability models with a virtual species

Détails

Ressource 1Télécharger: BIB_152A75641484.P001.pdf (322.12 [Ko])
Etat: Public
Version: de l'auteur
ID Serval
serval:BIB_152A75641484
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Assessing habitat-suitability models with a virtual species
Périodique
Ecological Modelling
Auteur(s)
Hirzel A.H., Helfer V., Metral F.
ISSN
0304-3800
Statut éditorial
Publié
Date de publication
2001
Peer-reviewed
Oui
Volume
145
Numéro
2-3
Pages
111-121
Notes
IZEAID6F1D3C058D66_
Résumé
This paper compares two habitat-suitability assessing methods, the Ecological Niche Factor Analysis (ENFA) and the Generalised Linear Model (GLM), to see how well they cope with three different scenarios. The main difference between these two analyses is that GLM is based on species presence/absence data while ENFA on presence data only. A virtual species was created and then dispatched in a GIS-model of a real landscape following three historic scenarios: 1° spreading, 2° at equilibrium and 3° overabundant species. In each situation, the virtual species was sampled and these simulated data sets were used as input for the ENFA and GLM to reconstruct the habitat suitability model. The results showed that ENFA is very robust to the quality and quantity of the data, giving good results in the three scenarios. GLM was badly affected in the case of the spreading species but produced slightly better results than ENFA when the species was overabundant; at equilibrium, both methods produced equivalent results. The use of a virtual species proved to be a very efficient method, allowing to fully control the quality of the input data as well as to accurately evaluate the predictive power of both analyses.
Mots-clé
Habitat suitability model, Ecological Niche Factor Analysis, Generalised Linear Model, Simulated data, Geographic information system, False absences, Model comparison
Web of science
Open Access
Oui
Création de la notice
24/01/2008 18:58
Dernière modification de la notice
20/08/2019 12:44
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