Integrating Climatic and Anthropogenic Species Distribution Models With the Macaque Habitat, Anthropogenic Dependence, and Coexistence (MAC) Framework to Assess Habitat Suitability and Quality of Macaque Species in Thailand

IF 1.7 3区 生物学 Q1 ZOOLOGY
Thanayut Changruenngam, Komkrich Kaewpanus
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引用次数: 0

Abstract

Climate change and anthropogenic disturbances are significant factors influencing primate distributions and habitat conditions. This study evaluates the influence of climatic and anthropogenic factors on habitat suitability for six macaque species in Thailand: long-tailed macaque (LTM), Rhesus macaque (RSM), stump-tailed macaque (STM), Assamese macaque (ASM), northern pig-tailed macaque (NPM), and Sunda pig-tailed macaque (SPM). Habitat suitability was predicted through Maxent-based species distribution models (SDMs), which integrated bioclimatic and anthropogenic predictors. Occurrence data were collected from field surveys conducted between 2005 and 2025, literature, and citizen science data. The macaque habitat, anthropogenic dependence, and coexistence (MAC) framework was utilized to evaluate habitat quality (HQ). Hierarchical clustering was employed to analyze environmental niche similarities based on variable contribution profiles. Most SDMs exhibited moderate to high discriminatory ability, indicated by a test AUC > 0.7, with the SPM displaying the highest level of consistency. Thermal variables were predominant for the ASM and NPM; temperature seasonality was the primary factor for the RSM and STM, while precipitation influenced the SPM distribution. Anthropogenic factors, particularly artificial light at night (ALAN), significantly impacted the LTM. Hierarchical clustering revealed three distinct clusters. The HQ assessments indicated that the SPM and STM were associated with high-quality, natural forest habitats, whereas the LTM and RSM were primarily correlated with human-modified landscapes. Predicted suitable habitats are extensive for the NPM, STM, and LTM but are increasingly restricted for the ASM, RSM, and SPM. The findings offer comprehensive insights to facilitate monitoring, habitat management, and conservation planning for macaques in Thailand.

基于猕猴生境、人类依赖和共存(MAC)框架的气候和人为物种分布模型在泰国猕猴生境适宜性和质量评估中的应用
气候变化和人为干扰是影响灵长类动物分布和生境条件的重要因素。研究了气候和人为因素对泰国长尾猕猴(LTM)、恒河猕猴(RSM)、残尾猕猴(STM)、阿萨姆猕猴(ASM)、北尾猕猴(NPM)和巽他尾猕猴(SPM) 6种猕猴生境适宜性的影响。利用基于maxnt的物种分布模型(SDMs)对生境适宜性进行了预测,该模型综合了生物气候因子和人为因子。发生数据收集自2005年至2025年间进行的实地调查、文献和公民科学数据。采用猕猴生境、人为依赖和共存(MAC)框架对猕猴生境质量进行评价。采用层次聚类方法,基于不同贡献曲线分析环境生态位相似性。大多数sdm表现出中等至高度的区分能力,测试AUC为0.7,其中SPM表现出最高的一致性。热变量在ASM和NPM中占主导地位;温度季节性是影响RSM和STM分布的主要因素,而降水是影响SPM分布的主要因素。人为因素,特别是夜间人造光(ALAN),显著影响了LTM。分层聚类揭示了三个不同的聚类。HQ评价结果表明,森林保护区和森林保护区主要与高质量的天然森林生境相关,而森林保护区和森林保护区主要与人为改造景观相关。预测的适宜生境对NPM、STM和LTM来说是广泛的,而对ASM、RSM和SPM来说则越来越受限制。这些发现为促进对泰国猕猴的监测、栖息地管理和保护规划提供了全面的见解。
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来源期刊
CiteScore
4.50
自引率
8.30%
发文量
103
审稿时长
4-8 weeks
期刊介绍: The objective of the American Journal of Primatology is to provide a forum for the exchange of ideas and findings among primatologists and to convey our increasing understanding of this order of animals to specialists and interested readers alike. Primatology is an unusual science in that its practitioners work in a wide variety of departments and institutions, live in countries throughout the world, and carry out a vast range of research procedures. Whether we are anthropologists, psychologists, biologists, or medical researchers, whether we live in Japan, Kenya, Brazil, or the United States, whether we conduct naturalistic observations in the field or experiments in the lab, we are united in our goal of better understanding primates. Our studies of nonhuman primates are of interest to scientists in many other disciplines ranging from entomology to sociology.
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