Predicting Suitable Distribution for an Endemic, Rare and Threatened Species (Grey-Shanked Douc Langur, Pygathrix Cinerea Nadler, 1997) Using Maxent Model

Abstract

Tran et al.: Predicting suitable distribution for an endemic, rare and threatened species (grey-shanked douc langur, Pygathrix cinerea Nadler, 1997) Abstract. Species distributional data has very important roles in management and conservation of wildlife, especially for rare species. In this study, we used the MaxEnt model to predict the potential distribution of the grey-shanked douc langur (Pygathrix cinerea Nadler, 1997) which is endemic to Vietnam and listed as one of the most endangered primate species in the world. We collected 158 independent localities and 16 environmental variables from different sources were used for analysis. The projection habitat suitability shows that the suitable areas are approximately from 14°N-16°N. The precipitation of driest month (bio14) had the highest percentage contribution to the model output with 27.7%. The total suitable area is 16,680.52 km 2 . The areas of high and very high suitability account for 19%, and 2% respectively. The potential distribution area of the species is not much found in the existing protected area. Priorities for conservation and survey efforts should be given to the forested areas in Quang Ngai (Ba To district), Kon Tum (Kon Plong district), Binh Dinh (An Lao district), Gia Lai (K 'Bang district) and Quang Nam provinces. Conservation efforts should also be prioritized for areas beyond the boundary of protected areas, especially for areas that have been proposed as biodiversity corridors.

Conserving the critically endangered Hangul (Cervus hanglu hanglu) - Future distribution and efficiency of protected areas under climate change: Implications for the conservation of Dachigam landscape

“…Similarly, Jiang (2018), and Chen et al ( 2023) observed that the driest months' precipitation exerted a notable in uence on the distribution of endemic, rare, and threatened species, similar to our ndings. This is corroborated by numerous other investigations, e.g., for Pygathrix cinerea (Tran et al, 2018); Himalayan Goral (Haq et al, 2023), Red panda (Thapa et al, 2018) and Tragopan melanocephalus (Jameel et al, 2023). The second most important variable was bio19 (coldest month precipitation), the third elevation, and the fourth was bio08 (wettest quarter mean temperature).…”

Predicting Suitable Habitats for China’s Endangered Plant Handeliodendron bodinieri (H. Lév.) Rehder

“…Species distribution models (e.g., MaxEnt, Garp, Bioclim, and Climex) are important tools to assess climate change's impacts on altering the distribution of suitable areas for plant species [17,18]. These models can establish a connection between a species' geographical distribution and environmental variables through statistical response functions.…”

Current and future predicting habitat suitability map of Cunninghamia konishii Hayata using MaxEnt model under climate change in Northern Vietnam

“…Species distribution modelling (SDM) is an instrument that can help us to understand more about the distribution of species (Tran et al 2018). SDM has become a valuable tool for assessing habitat suitability and resource conservation to protect important plant species and to predict suitable cultivation regions .…”