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Masoumeh Najibzadeh Amahad Gharzi Nasrullah Rastegar-Pouyani Eskandar Rastegar-Pouyani Alireza Pesarakloo 《Russian Journal of Ecology》2017,48(3):280-286
Modeling the distribution patterns of species is a generally efficient tool to assess their ecological characteristics. In this study, we compared ecological niche factor analysis (ENFA) and maximum entropy (Maxent) techniques to predict the most suitable distribution range of Rana macrocnemis. The Maxent model predicted potential suitable habitats for R. macrocnemis with high success rates (AUC Training data = 0.877 ± 0.039). According to the map constructed, three important variables had high contribution to species presence: temperature (50.4%), land cover (24.6%) and elevation (14.4%) variables. The ENFA results were relatively similar to Maxent jackknife analysis. The results implied that R. macrocnemis prefers grassland and needle leaf deciduous forest with high elevations, and low temperature. 相似文献
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Alireza Pesarakloo Najibzadeh Masoumeh Mirkamali Sayed Jamal 《Russian Journal of Ecology》2020,51(6):570-577
Russian Journal of Ecology - Robust estimates of species population abundance are necessary for the success of conservation plans and species management strategies. In the present study, our main... 相似文献
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