Application of Maximum Entropy in Prediction of Common Yew (Taxus baccata L.) potential habitats in the Arasbaran biosphere reserve

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Common yew (Taxus baccata L.) is classified as an Endangered (En) species and its distribution has been decreased as a long-lived species during last decades, indicating the need for protecting its habitats. In this research, the habitat suitability of common yew in the Arasbaran biosphere reserve, was explored. Using the Maximum Entropy (MaxEnt) approach and based on the presence locations (74 points) the suitable habitats were modelled. The predictor variables included in the model were slope, aspect, elevation, landform, land use, and climate. Results showed that 1.48% (1265 ha) of the Arasbaran biosphere reserve is suitable for Common Yew. Based on the habitat suitability map, common yew prefers the elevation 900-1700, slope 25-60%, northern aspect, rainfall 360-480 mm, the average temperature 8-13°C, Mediterranean climate, and forested areas with canopy cover > 50%. The suitable habitats for Common Yew are generally distributed in the Tazekand, Kalaleh, Ainehloo, Nooghdi and Balasang forest areas. The accuracy and the ability of predictions model was assessed great for this species based on the area under the curve (AUC= 0.996). Using the findings of this study we can specify suitable areas for yew’s plantation, and restore its habitat in Arasbaran in the future.
Language:
Persian
Published:
Iranian Journal of Forest, Volume:12 Issue: 3, 2020
Pages:
359 to 375
magiran.com/p2205487  
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