Optimal habitat has a beneficial effect on species survival. In this research a logistic regression statistical method was used to prepare the potential distribution map of Artemisia aucheri Boiss. in 2020-2021. The maps of 19 bioclimatic and three physiographic variables with a resolution of 4.9 km under the current conditions prepared. Then, sampling information related […]
Investigation of the relationship between plant species and environmental factors plays an important role in plant ecology. The present study aimed to develop the best predicting model for distribution of Prangos uloptera DC. using logistic regression (LR) and Maximum Entropy Methods (MaxEnt) in its habitat in the southern rangeland of Ardabil province, Iran. Vegetation data […]
