Assessing habitat-suitability models with a virtual species

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Serval ID
serval:BIB_152A75641484
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Assessing habitat-suitability models with a virtual species
Journal
Ecological Modelling
Author(s)
Hirzel A.H., Helfer V., Metral F.
ISSN
0304-3800
Publication state
Published
Issued date
2001
Peer-reviewed
Oui
Volume
145
Number
2-3
Pages
111-121
Notes
IZEAID6F1D3C058D66_
Abstract
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.
Keywords
Habitat suitability model, Ecological Niche Factor Analysis, Generalised Linear Model, Simulated data, Geographic information system, False absences, Model comparison
Web of science
Open Access
Yes
Create date
24/01/2008 18:58
Last modification date
20/08/2019 12:44
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