ArticleEnvironmental science and pollution research international2019
Suitable habitat prediction of Sichuan snub-nosed monkeys (Rhinopithecus roxellana) and its implications for conservation in Baihe Nature Reserve, Sichuan, China.
Article in Environmental science and pollution research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Genome-resolved analysis of bile acid-metabolizing microbiota in Tibetan antelope (Pantholops hodgsonii).BMC microbiology · 2026Article
- Assessment of suitable cultivation area for Paris polyphylla var. chinensis and var. yunnanensis under anthropogenic disturbance based on ensemble modeling and germplasm identification.BMC plant biology · 2026Article
- Gut microbiota alterations in golden snub-nosed monkeys during food shortage and parturition-nursing periods.Frontiers in microbiology · 2025Article
- Study on the environmental adaptation characteristics of red panda release into the wild.PloS one · 2025Article
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- Prediction of potential suitable distribution for sweet cherry (Prunus avium) based on the MaxEnt model.PloS one · 2024Article
- Article
- Global Distribution ofInternational journal of environmental research and public health · 2023Article
- Dynamic changes in the suitable areas for the pinewood nematode in the Sichuan-Chongqing Region of China.PloS one · 2023Article
- Challenges and Opportunities in Aligning Conservation with Development in China's National Parks: A Narrative Literature Review.International journal of environmental research and public health · 2022Review
- Suitable Habitats ofAnimals : an open access journal from MDPI · 2022Article
- Global potential distribution prediction of Xanthium italicum based on Maxent model.Scientific reports · 2021Article
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Authors and funding
6 authors.
Funding
Abstract
As an endemic primate species with one of the highest priorities in wildlife conservation in China, Sichuan snub-nosed monkeys (Rhinopithecus roxellana) have undergone a sharp decline and range reduction in recent centuries. Here, we used maximum entropy modelling (MaxEnt) integrated with four types of environmental variables, including three biological climate variables (Bio17, precipitation of the driest quarter; Bio6, min. temperature of the coldest month; and Bio2, mean diurnal range), three topographic variables (altitude, slope, and aspect), two anthropogenic variables (Human Footprint Index and human disturbance), and three vegetation-related variables (enhanced vegetation index, normalized difference vegetation index, and Wet Index) to identify the spatial distribution of suitable habitats for Sichuan snub-nosed monkeys in Baihe Nature Reserve (BNR), which is located in the Minshan Mountains. The average training AUC of our model performance is 0.929 ± 0.003. The model predicted 9.6 km
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