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使用最大熵模型预测印度易危物种东部白眉长臂猿(Hoolock leuconedys)的适宜栖息地

Predicting Suitable Habitats for the Vulnerable Eastern Hoolock Gibbon, Hoolock leuconedys, in India Using the MaxEnt Model.

作者信息

Sarma Kuladip, Kumar Awadhesh, Krishna Murali, Medhi Mintu, Tripathi Om Prakash

机构信息

Department of Forestry, North Eastern Regional Institute of Science and Technology, Nirjuli, India.

出版信息

Folia Primatol (Basel). 2015;86(4):387-97. doi: 10.1159/000381952. Epub 2015 Aug 8.

Abstract

The eastern hoolock gibbon, Hoolock leuconedys, is categorized as Vulnerable on the IUCN Red List and assessed as a Schedule I species of the Wildlife (Protection) Act of 1972 in India. We predict the potential habitat of H. leuconedys in the state of Arunachal Pradesh, India, using the Maximum Entropy (MaxEnt) distribution modelling algorithm. The model was developed using 90 known localities of H. leuconedys in the state. Nineteen environmental parameters along with 12 normalized difference vegetation index (NDVI) layers, elevation and land use and land cover (LULC) were used in the modelling. Amongst the environmental input variables, the precipitation of the coldest quarter (BIO 19) had the highest contribution to the model (26.03%) and the twelve NDVI layers collectively contributed 60.91%. Two districts, Lower Dibang Valley and Lohit, which are known to contain H. leuconedys, occupied 64.75% of the predicted distribution area of the species. Thus, we aid in the identification of suitable areas for the reintroduction program of H. leuconedys that is planned by the Gibbon Conservation Breeding Centre, Biological Park, Itanagar, Arunachal Pradesh, India.

摘要

东部白眉长臂猿(Hoolock leuconedys)在世界自然保护联盟(IUCN)红色名录中被列为易危物种,在印度被评估为1972年《野生动物(保护)法》附表一物种。我们使用最大熵(MaxEnt)分布建模算法预测了印度阿鲁纳恰尔邦东部白眉长臂猿的潜在栖息地。该模型是利用该邦90个已知的东部白眉长臂猿分布点开发的。建模过程中使用了19个环境参数以及12个归一化植被指数(NDVI)图层、海拔和土地利用与土地覆盖(LULC)数据。在环境输入变量中,最冷月降水量(BIO 19)对模型的贡献最大(26.03%),12个NDVI图层的总贡献为60.91%。已知有东部白眉长臂猿分布的下迪邦河谷和洛希特这两个地区,占该物种预测分布面积的64.75%。因此,我们有助于确定印度阿鲁纳恰尔邦伊塔那噶生物公园长臂猿保护繁殖中心计划的东部白眉长臂猿重新引入项目的适宜区域。

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