A drone-based population survey of Delacour's langur (Trachypithecus delacouri) in the karst forests of northern Vietnam

IF 4.9 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION
Hoang Trinh-Dinh , Oliver R. Wearn , Dusit Ngoprasert , Serge Wich , Tommaso Savini
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Abstract

The Critically Endangered Delacour's langur (Trachypithecus delacouri) is presently found only in a few isolated karst areas in northern Vietnam, where conducting field surveys has proven challenging due to the difficult terrain. Accurate population estimates from a scientifically sound method are needed to inform management of the species. From October to December 2022, we used a drone equipped with optical and thermal cameras to survey the species in Kim Bang Forest, a critical site for the species. We estimated langur abundance from the resulting point count data using N-mixture models including abiotic and biotic variables. We also compared the effectiveness and efficiency of the drone method with two commonly used ground-based methods. The drone survey recorded 16 groups with 104 individuals. We estimated a density of 0.87 groups per km2 and a population of 25 groups and 175 individuals. This estimate is 80–113 % higher than previous ground-based estimates, attributed primarily to the higher area coverage by the drone survey. The estimate reaffirms the conservation importance of Kim Bang Forest for the species. The modelling also indicated that Delacour's langur abundance was correlated negatively with Assamese macaque (Macaca assamensis) presence and positively with vegetation productivity. Other variables (elevation, terrain ruggedness and distance to forest edge) were much less important in explaining langur abundance. Compared to the ground-based methods, the drone approach proved effective and resource-efficient for surveying Delacour's langurs. We recommend the drone method for future Delacour's langur surveys, with potential applicability to other arboreal mammals in difficult-to-access karst forests.
越南北部喀斯特森林中德拉库尔叶猴(Trachypithecus delacouri)的无人机种群调查
极度濒危的德拉库尔叶猴(Trachypithecus delacouri)目前仅分布在越南北部几个孤立的喀斯特地区,由于地形复杂,在这些地区进行实地调查具有挑战性。我们需要通过科学合理的方法对种群数量进行准确估计,以便为物种管理提供依据。2022 年 10 月至 12 月期间,我们使用配备光学和热像仪的无人机在金邦森林(该物种的重要栖息地)对该物种进行了调查。我们利用包括非生物变量和生物变量在内的 N 混合物模型,从所得的点计数数据中估算叶猴的丰度。我们还比较了无人机方法与两种常用地面方法的效果和效率。无人机调查记录了 16 个群,共 104 个个体。我们估计其密度为每平方公里 0.87 个群,种群数量为 25 个群 175 个个体。这一估计值比之前的地面估计值高出 80-113 %,主要原因是无人机调查的覆盖面积更大。这一估算再次证实了金邦森林对该物种保护的重要性。建模结果还表明,德拉库尔叶猴的数量与阿萨姆猕猴(Macaca assamensis)的存在呈负相关,与植被生产力呈正相关。其他变量(海拔、地形崎岖程度和与森林边缘的距离)在解释叶猴数量方面的重要性要小得多。与地面方法相比,无人机方法在调查德拉库尔叶猴方面被证明是有效和资源节约型的。我们建议在未来的德拉库尔叶猴调查中使用无人机方法,并将其应用于难以进入的喀斯特森林中的其他树栖哺乳动物。
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来源期刊
Biological Conservation
Biological Conservation 环境科学-环境科学
CiteScore
10.20
自引率
3.40%
发文量
295
审稿时长
61 days
期刊介绍: Biological Conservation is an international leading journal in the discipline of conservation biology. The journal publishes articles spanning a diverse range of fields that contribute to the biological, sociological, and economic dimensions of conservation and natural resource management. The primary aim of Biological Conservation is the publication of high-quality papers that advance the science and practice of conservation, or which demonstrate the application of conservation principles for natural resource management and policy. Therefore it will be of interest to a broad international readership.
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