Habitat Suitability of Dorema ammoniacum D. Don. Using Maximum Entropy and Logistic Regression Modeling in Central Region of Iran
The purpose of this study was to evaluate the competency of logistic regression (LR) and maximum entropy (MaxEnt) models to predict the distribution of Dorema ammoniacum D. Don. in rangeland habitats in the central region of Iran, Yazd province.
The potential distribution map of Dorema ammoniacum D. Don. was prepared. The homogenous habitats were identified, and vegetation sampling was conducted using a systematic random method. The data including: soil (physical and chemical properties), physiographic (slope, aspect and altitude), and vegetation data (presence and absence) were used. Soil sampling was performed at two depths of 0-30, and 30-60 cm. The required maps were prepared using interpolation method. Statistics were taken from 90 plots along 9 transect both in the presence and absence area. Response curve and Jackknife test (for MaxEnt method) were employed to identify the most important environmental predictive factors. The kappa index was used to determine the agreement between the actual and predicted maps.
The accuracy of predicted map was weak in LR Model (AUC= 0.65), but it was considerably high in the MaxEnt model (AUC=0.87). The agreement between the predicted map of MaxEnt model, and ground truths was very good (kappa=0.74), and the agreement between predicted map generated by LR with the ground-truths was medium (kappa=0.5).
This plant has a limited ecological niche; therefore, the MaxEnt model could take precedence over the LR model because the only data it employs is the presence of the species.
-
Investigating the role of organic fertilizers and mulch on the morphological characteristics of Nitraria schoberi L. on the edge of Lake Urmia
Reza Ahmadkhani
Journal of Plant Ecosystem Conservation, -
Analysis of the environmental gradients in Moringa peregrina (Forssk.) Fiori habitat in relation to increasing elevation (A trend and homogeneity based approach)
*, Peyman Karami
Journal of Plant Ecosystem Conservation, -
Scenario-based land use management to restore natural areas and reducing soil erosion rate in a competing land uses condition
Khadijeh Haji, Abazar Esmali-Ouri *, ,, Habib Nazarnejad
Anthropogenic Pollution Journal, Summer and Autumn 2024 -
Determining the dynamics of land use changes in a long-term time span in Erzurum, Turkey
Nazila Alaei, Memet Salih Bayraktutan *,
Anthropogenic Pollution Journal, Summer and Autumn 2024 -
Modeling the Distribution of Juniper Species (Juniperus excelsa M.Bieb.) Using Multivariate Adaptive Regression Splines (MARS) and Generalized Linear Model (GLM) in Southern Ardabil and Northern Zanjan Provinces
Azad Kakehmami, *, Mehdi Moameri, Abazar Esmali Ouri, Zeinab Hazbavi, Sahar Ghafari
Journal of Rangeland, -
Modeling the Canopy Cover and Aboveground Net Primary Production of Plant Life forms in Rangelands of Ardabil Province
, *, Mehdi Moameri, Hosein Arzani, , Zeinab Hazbavi
Arid regions Geographic Studies, -
Modeling aboveground net primary production using Landsat-8 indices in Siahpoosh and Ganjgah rangelands of Ardabil province, Iran
Pashmineh Mohammadnazhad, Mehdi Moameri *, , , Vadood Mohammadi
Journal of Rs and Gis for natural Resources, -
Ensemble Modeling Approach to Predict the Potential Distribution of Artemisia sieberi in Desert Rangelands of Yazd Province, Central Iran
MohammadAli Zare Chahouki, Peyman Karami, *
Journal of Rangeland Science, Autumn 2022