Taking Suzhou City as an example,this paper predicted the suitable areas for water birds by combin-ing the distribution data of 42 species of water birds with weather factors,geographical factors and remote sensing image factors,and using Maxent model and GARP model.By predicting and overlaying the suitable areas of 42 species of water birds,we obtained four prediction maps of suitable areas for water birds.The results show that the introduction of geographical factors can effectively predict the suitable areas of waterfowl.Among the four prediction results,the Maxent distribution prediction map of suitable areas of waterfowl population has the top accuracy.The prediction results showed that the suitable areas of waterfowl population were distributed along the Yangtze River of Zhangjiagang,around Taihu Lake and Yangcheng Lake.The results of this study provide a new idea for the prediction of waterbird suitable areas,and have a reference value for protecting the diversity of wa-terbirds and maintaining the safety and stability of the wetland ecosystem of Suzhou.
关键词
苏州市/地理因子/环境变量/GARP模型/Maxent模型/水鸟潜在分布区
Key words
Suzhou City/geographical factors/environment variable/GARP model/Maxent model/potential habi-tat for waterbirds
维普
万方数据