Habitat Suitability Modeling for Wildlife Management Objectives by Using Maximum Entropy Method

Abbas Naqibzadeh; Jalil Sarhangzadeh; Ahad Sotoudeh; Marjan Mashkour; Judith Thomalsky

doi:10.28991/HEF-2021-02-04-05

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Abbas Naqibzadeh
a.naqibzadeh@gmail.com
MSc, Environmental Science, Habitats and Biodiversity, School of Natural Resources and Desert Studies, Yazd University, Yazd,, Iran, Islamic Republic of https://orcid.org/0000-0002-9120-154X
Jalil Sarhangzadeh Assistant Professors, Environmental Science, School of Natural Resources and Desert Studies, Yazd University, Yazd,, Iran, Islamic Republic of
Ahad Sotoudeh Assistant Professors, Environmental Science, School of Natural Resources and Desert Studies, Yazd University, Yazd,, Iran, Islamic Republic of
Marjan Mashkour Director of Research, Unité Archéozoologie, Archéobotanique: Sociétés, Pratiques et Environnements, (AASPE), Muséum National d'Histoire Naturelle, CNRS (Centre National de la Recherche Scientifique), Paris,, France
Judith Thomalsky Director of the Tehran Branch of the German Archaeological Institute, Tehran,, Iran, Islamic Republic of

Vol. 2 No. 4 (2021): December

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Habitat suitability models are useful tools for a variety of wildlife management objectives. Distributions of wildlife species can be predicted for geographical areas that have not been extensively surveyed. The basis of these models' work is to minimize the relationship between species distribution and biotic and abiotic environments. For some species, there is information about presence and absence that allows the use of a variety of standard statistical methods. However, absence data is not available for most species. Nowadays, the methods that need presence-only data have been expanded. One of these methods is the Maximum Entropy (MaxEnt) model. The purpose of this study is to model the habitat of Urial (Ovis orientalis arkal) in the Samelghan plain in the North East of Iran with the MaxEnt method. This algorithm uses the Jackknife plot and percent contribution values to determine the significance of the variables. The results showed that variables such as southern aspects, Juniperus-Acer, Artemisia-Perennial plants, slope 0-5%, and asphalt road were the most important factors affecting the species' habitat selection. The area under the curve (AUC) Receiver Operating Characteristic (ROC) showed excellent model performance. Suitable habitat was classified based on the threshold value (0.0513) and the ROC, which, based on the results, 28% of the area was a suitable habitat for Urial.

Doi: 10.28991/HEF-2021-02-04-05

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Naqibzadeh, A., Sarhangzadeh, J., Sotoudeh, A., Mashkour, M., & Thomalsky, J. (2021). Habitat Suitability Modeling for Wildlife Management Objectives by Using Maximum Entropy Method. Journal of Human, Earth, and Future, 2(4), 371–381. https://doi.org/10.28991/HEF-2021-02-04-05

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Habitat Suitability Modeling for Wildlife Management Objectives by Using Maximum Entropy Method

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Habitat Suitability Modeling for Wildlife Management Objectives by Using Maximum Entropy Method

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Most Cited Articles

Utilization Management to Ensure Clean Water Sources in Coastal Areas

Assessment of the Presence of Pharmaceutical Compounds in Wastewaters and in Aquatic Environment

Eco-Friendly Asphalt Approach for the Development of Sustainable Roads

Alternative Fuel: Hydrogen and its Thermodynamic Behaviour