ArticlePrimates; journal of primatology2020
Modeling habitat suitability for Yunnan Snub-nosed monkeys in Laojun Mountain National Park.
Article in Primates; journal of primatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- Evolutionary history of the endangered Sanje mangabey (Cercocebus sanjei) in the Udzungwa Mountains, Tanzania: inferences from phylogeography and historical niche modelling.Primates; journal of primatology · 2026Article
- Using an ensemble modeling approach to predict the potential distribution for the Kashmir gray langur (Semnopithecus ajax).Primates; journal of primatology · 2026Article
- Prediction of potential distributions ofEcology and evolution · 2024Article
- Article
- Habitat selection of an endangered primate, the samango monkey (Ecology and evolution · 2021Article
- The Lisu people's traditional natural philosophy and its potential impact on conservation planning in the Laojun Mountain region, Yunnan Province, China.Primates; journal of primatology · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors at 3 institutions in 4 countries.
Funding
Abstract
We provide new information on Yunnan snub-nosed monkey (Rhinopithecus bieti) behavioral ecology, contributing to future conservation efforts within the Laojun Mountain National Park. Habitat evaluation procedures are used to quantify the value of land as a habitat for a species. We analyzed environmental variables hypothesized to influence habitat suitability for Yunnan snub-nosed monkeys, and mapped the distribution of suitable habitats across the study area and adjacent areas. Spatial analysis with GPS data was conducted to investigate home-range change of these monkeys. Predictor variables were generated using ArcMap and R programming language. We prepared 34 environmental variables at 30-m spatial resolution. Maxent was used to analyze environmental variables that contributed to suitability. Using satellite remote sensing and GIS, we modeled the distribution of suitable habitat for Yunnan snub-nosed monkeys in the Jinsichang area of the Laojun Mountains in China. This study did not describe the frequency or intensity of habitat use. Habitat suitability was affected by several variables, the most influential, as determined by permutation importance, being mean diurnal temperature range (31.6%), precipitation during the wettest quarter of the year (30.4%), average annual precipitation (17%), normalized difference vegetation index (5%), wetness (4.6%), and aspect (4.5%). This habitat suitability model provides information about the current distribution of Yunnan snub-nosed monkeys, which is important for appropriate implementation of conservation actions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.