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林业科学 ›› 2025, Vol. 61 ›› Issue (12): 124-134.doi: 10.11707/j.1001-7488.LYKX20240807

• 研究论文 • 上一篇    

气候变化背景下全球野生亚洲象潜在生境预测

陈飞1,2,3,张杰京2,3,王继山2,3,罗伟雄2,3,汤永晶2,3,樊辉1,*()   

  1. 1. 云南大学国际河流与生态安全研究院 昆明 650091
    2. 国家林业和草原局亚洲象研究中心 昆明 650031
    3. 国家林业和草原局西南调查规划院 昆明 650031
  • 收稿日期:2024-12-31 修回日期:2025-04-10 出版日期:2025-12-25 发布日期:2026-01-08
  • 通讯作者: 樊辉 E-mail:fanhui@ynu.edu.cn
  • 基金资助:
    云南省高层次科技人才及创新团队选拔专项–技术创新人才培养对象项目(202405AD350055);云南省自然科学基金基础研究专项(202401AT070305);国家重点研发计划项目(2023YFF1305000)。

Prediction of Potential Habitat of Global Wild Asian Elephants under Climate Change

Fei Chen1,2,3,Jiejing Zhang2,3,Jishan Wang2,3,Weixiong Luo2,3,Yongjing Tang2,3,hui Fan1,*()   

  1. 1. Institute of International Rivers and Eco-Security, Yunnan University Kunming 650091
    2. Asian Elephant Research Center of National Forestry and Grassland Administration Kunming 650031
    3. Southwest Survey and Planning Institute of National Forestry and Grassland Administration Kunming 650031
  • Received:2024-12-31 Revised:2025-04-10 Online:2025-12-25 Published:2026-01-08
  • Contact: hui Fan E-mail:fanhui@ynu.edu.cn

摘要:

目的: 分析当前及未来气候变化背景下全球野生亚洲象生境的潜在分布,为野生亚洲象生境保护提供科学依据。方法: 基于筛选得到的627个亚洲象活动点位和13个气候、地形等环境因子,利用ENMeval包优化MaxEnt模型,模拟当前气候下亚洲象生境在南亚、东南亚及中国西南地区的潜在分布,并分析影响全球野生亚洲象生境分布的主导环境因子,预测未来气候变化情景下亚洲象生境的分布及变化趋势。结果: 优化后的MaxEnt模型预测结果较好,训练数据集和测试数据集AUC值均在0.85以上,气候因子最冷季度降水(33.3%)和温度季节性变化(25.8%)是影响亚洲象生境潜在分布的主导因子,其次是海拔(10.4%)。模拟结果显示当前全球亚洲象生境约为149×104 km2,占研究区面积的19.38%(76.86×105 km2),主要分布在喜马拉雅南部山麓、印度东北部、斯里兰卡、中国西南边境、东南亚的老挝、越南、缅甸、泰国等边境区域,以及马来半岛、苏门答腊岛北部、加里曼丹岛东北部等地;未来3种气候情景下亚洲象生境与当前相比呈减少趋势;南亚喜马拉雅南部山麓、印度东北部区域亚洲象生境减少明显,并且喜马拉雅南部山麓亚洲象生境有向北移动趋势;中国、老挝、越南、马来西亚等地生境减少较多。结论: 未来气候变化背景下,亚洲象生境与当前相比呈减少趋势,部分地区亚洲象适宜生境可能会发生迁移,未来制定亚洲象生境保护策略时,应考虑促进跨境地区亚洲象的保护合作。

关键词: 亚洲象, 气候变化, MaxEnt模型, 生境

Abstract:

Objective: This study evaluated the potential distribution of global wild Asian elephant habitats under current and future climate change, aiming to provide valuable information for the protection of global wild Asian elephant habitat. Method: Based on 627 Asian elephant activity points and 13 environmental factors such as climate and terrain, the ENMeval package was used to optimize MaxEnt model that was used to evaluate the potential distribution of Asian elephant habitats under current climatic conditions in south Asia, southeast Asia, and southwestern China. Finally, the optimized MaxEnt model was used to evaluate potential distribution of habitat suitability for Asian elephants, and predict habitats of Asian elephants under future climate change. Result: The optimized MaxEnt model had good prediction results, and the AUC value of both the training and testing data was above 0.85. The precipitation of coldest quarter (Bio19) and the temperature seasonality (Bio4) were dominant environmental factors influencing the potential distribution of habitat for Asian elephant, followed by elevation. The simulation results showed that the habitat of Asian elephant was about 149×104 km2, accounting for 19.38% of the study area (76.86×105 km2). The habitat of Asian elephant mainly distributed in the southern foothills of the Himalayas, northeastern India, Sri Lanka, southwestern border of China, as well as border areas of Laos, Vietnam, Myanmar and Thailand in southeast Asia, Malay Peninsula, northern Sumatra Island and northeastern Kalimantan Island and other places in Southeast Asia. Under future climate scenarios, the habitat of Asian elephant is showing a decreasing trend compared to the current situation. The habitat of Asian elephants in in southern foothills of the Himalayas and northeastern India will significantly decrease, and there is a trend of northward movement in southern foothills of the Himalayas. Moreover, The habitat of Asian elephant in other regions such as China, Laos, Vietnam and Malaysia will be obviously reduced. Conclusion: Under future climate change, the habitat of Asian elephant would decrease, and the habitat for Asian elephants may move northward in southern foothills of the Himalayas. In the future, we should consider promoting cross-border cooperation, and formulating the strategy of Asian elephant habitat protection.

Key words: Asian elephant, climate change, MaxEnt model, habitat

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