Glatston (1994) and Wei, Feng, Wang, and Hu ( 1999) reported two subspecies ( A. fulgens fulgens and A. fulgens styani) of red panda based on morphology and the geographic barrier of the Nujiang River in Yunnan, China.
It also may occurs a separate population in Meghalaya, India (Choudhury, 2001 Thapa, Hu, & Wei, 2018). Presently, the red panda is distributed in five Asian countries: Nepal, India (Sikkim, West Bengal, Arunachala), Bhutan, northern Myanmar, and China (Tibet, Yunnan, and Sichuan) (Choudhury, 2001 Dorji, Rajaratnam, & Vernes, 2012 Glatston, 1994 Wei, Feng, Wang, & Hu, 1999 Yonzon & Hunter, 1991). The red panda is a member of the order Carnivora but eats an herbivorous diet, particularly bamboo in humid climates at high altitudes (Wei, Feng, Wang, & Hu, 1999 Yonzon & Hunter, 1991). The red panda ( Ailurus fulgens), an arboreal herbivorous mammal, occupies a highly specialized niche in which it dwells primarily in bamboo understories in temperate conifer forests adjacent to broadleaf forests (Wei, Feng, Wang, & Hu, 1999 Wei, Feng, Wang, Zhou, & Hu, 1999 Yonzon & Hunter, 1991). Furthermore, large areas of habitat were predicted in cross-broader areas, and transboundary conservation will be necessary. Bhutan's PAs provide good coverage for the red panda habitat. Existing protected areas (PAs) encompass 28% of red panda habitat, meaning the PA network is currently insufficient and alternative conservation mechanisms are needed to protect the habitat. Our model predicted 134,975 km 2 of red panda habitat based on 10 percentile thresholds in China (62% of total predicted habitat), Nepal (15%), Myanmar (9%), Bhutan (9%), and India (5%). Annual precipitation (BIO12) and maximum temperature in the warmest months (BIO5) were major predictors of habitat suitability for A. f. We found that the subspecies have separate climatic spaces dominated by temperature-associated variables in the eastern geographic distribution limit and precipitation-associated variables in the western distribution limit. Here, we use occurrence records of both subspecies of red pandas from across their entire range to build a habitat model using the maximum entropy algorithm (Ma圎nt 3.3.3k) and the least correlated bioclimatic variables.
Building a comprehensive potential habitat map for the red panda is imperative to advance the conservation effort and ensure coordinated management across international boundaries. The red panda is a global conservation icon, but holistic conservation management has been hampered by research being restricted to certain locations and population clusters. An upsurge in anthropogenic impacts has hastened the decline of the red panda ( Ailurus fulgens).
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