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生态学杂志 ›› 2020, Vol. 39 ›› Issue (8): 2691-2703.

• 研究报告 • 上一篇    下一篇

基于MaxEnt模型预测白琵鹭在中国东北地区的适宜分布区

李敏1,李秀明1,徐家慧1,薛琳1,武爱明1,盘凯筠1,闵晓明2,李玉太2,钱法文1*   

  1. 1中国林业科学研究院森林生态环境与保护研究所, 北京 100091;2黑龙江泰湖国家湿地公园, 黑龙江泰来 162400)  
  • 出版日期:2020-08-10 发布日期:2021-02-10

Prediction of suitable distribution area of Eurasian Spoonbill in Northeast China based on MaxEnt model. #br#

LI Min1, LI Xiu-ming1, XU Jia-hui1, XUE Lin1, WU Ai-ming1, PAN Kai-jun1, MIN Xiao-ming2, LI Yu-tai2, QIAN Fa-wen1*#br#   

  1. (1Research Institute of Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China; 2Heilongjiang Taihu National Wetland Park, Tailai 162400, Heilongjiang, China).
     
  • Online:2020-08-10 Published:2021-02-10

摘要: 白琵鹭(Platalea leucorodia)为我国国家Ⅱ级保护野生动物,目前已知的白琵鹭繁殖生境分布较为破碎。近年来,在全球气候变化的背景下,人类对地下水超采、湿地开垦等致使作为白琵鹭主要繁殖地的我国东北地区湿地面积缩减,因此有必要制定科学的保护计划去减轻东北地区环境变化导致的白琵鹭生境破碎化。本研究的主要目的是运用MaxEnt模型与GIS空间技术对东北地区白琵鹭的生境适宜性及其主要影响因子进行分析。受试者工作特征曲线下面积(训练AUC和测试AUC)分别为0.918和0.945,显示了模型预测能力较高,适合白琵鹭的潜在生境预测。研究发现:影响白琵鹭繁殖生境分布的主要环境因子是海拔(36.8%)和植被覆盖度(32.6%),其次是等温性(11.5%)、距湖泊距离(8.6%)和最干季降水量(4.0%),影响较少的是距道路距离(2.7%)、最湿月降水量(2.4%)、距居民地距离(0.8%)、土地利用类型(0.4%)和距河流距离(0.2%)。白琵鹭在东北地区的适宜栖息地集中在低海拔、气候适宜和离水源较近的地方。获得了适宜白琵鹭生境的自然保护地(自然保护区、湿地公园)分布。本研究为白琵鹭的保护提供了科学信息,并为其栖息地管理提出了相关建议。

关键词: 白琵鹭, 东北地区, MaxEnt模型, 栖息地, 适宜性

Abstract: Eurasian Spoonbill (Platalea leucorodia) is a national grade II protected wildlife species in China, with fragmented breeding habitats. In recent years, under the background of global climate change, the area of wetlands in Northeast China, as the main breeding area of Eurasian Spoonbill, has been reduced due to over-exploitation of groundwater and reclamation of wetlands. It is necessary to formulate a scientific protection plan to reduce the habitat fragmentation of Eurasian Spoonbill in Northeast China. Here, we analyzed the habitat suitability and main influencing factors of Eurasian Spoonbill in Northeast China using MaxEnt model and GIS technology. Thearea under the receiver operating characteristic curve (AUC) of the subjects achieved 0.918 in the training samples and 0.945 in the test samples, suggesting its high prediction ability and suitability for predicting the potential habitats of Eurasian Spoonbill. The results showed that the main environmental factors affecting the distribution of breeding habitats of Eurasian Spoonbill were altitude(36.8%) and vegetation coverage (32.6%), followed by isothermality (11.5%), the distance from lake (8.6%), and precipitation in the driest season (4.0%). The less impacting factors were the distance from road (2.7%), the wettest monthly precipitation (2.4%), the distance from residential area (0.8%), land use type (0.4%), and the distance from river (0.2%). The suitable habitats of Eurasian Spoonbill in Northeast China are concentrated in low altitude, suitable climate, and close to water source. The distribution of protected areas (nature reserves and wetland parks) suitable for Eurasian Spoonbill habitats was clear. Our results provide scientific basis for the protection of Eurasian Spoonbill, and provide suggestions for the management of its habitats.

Key words: Eurasian Spoonbill, Northeast China, MaxEnt model, habitat, suitability.