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Assessing Habitat-Suitability Models with a Virtual Species at Khao Nan National Park, Thailand

Authors: M. Jaroensutasinee, K. Jaroensutasinee, W. Srisang

Abstract:

This study examined a habitat-suitability assessment method namely the Ecological Niche Factor Analysis (ENFA). A virtual species was created and then dispatched in a geographic information system model of a real landscape in three historic scenarios: (1) spreading, (2) equilibrium, and (3) overabundance. In each scenario, the virtual species was sampled and these simulated data sets were used as inputs for the ENFA to reconstruct the habitat suitability model. The 'equilibrium' scenario gives the highest quantity and quality among three scenarios. ENFA was sensitive to the distribution scenarios but not sensitive to sample sizes. The use of a virtual species proved to be a very efficient method, allowing one to fully control the quality of the input data as well as to accurately evaluate the predictive power of the analyses.

Keywords: Geographic Information System, climatic factors, Habitat-Suitability Models, Ecological niche factoranalysis

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1070071

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