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Kritika Malik,K. R. L. Saranya,C. Sudhakar Reddy,A. O. Varghese 대한공간정보학회 2022 Spatial Information Research Vol.30 No.6
Species distribution models provide habitat mapping tools and produce scalable information to inform policy decisions. Integrating spatial statistical modelling with bioclimatic information identifies the contribution of the most critical variable in species occurrence and distribution. In the present study a suitable bioclimatic model, MaxEnt modelling algorithm is used for Dipterocarpus indicus, an endemic and endangered species by incorporating field inventory data.This model predicted a high probability of potential distribution area in the forests of Uttara Kannada, Chikmagalur, Shivamogga and Kannur. The highly suitable hábitats are distributed in protected áreas, namely Kudremukh, Mookambika, Pushpagiri, Sharavathi Valley, Shettihalli, Someshwara, Parambikulam, Peechi-Vazhani, Shendurney, Thattekadu Bird, Indira Gandhi (Anamalai), Kalakad, Mundanthurai and Kanyakumari. The Area Under Curve value for the potential distribution of species is observed at 0.894 for training data. The highest fractional predicted area was in the low elevation tropical wet evergreen forest region between 50 and 700 m. The contributions of the climatic variables in the model showed that precipitation in the coldest quarter was the most influential, followed by annual mean temperature and annual precipitation. This study aids in long-term conservation planning, monitoring, and managing potential habitats of endemic and endangered tree species.