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基于MaxEnt模型的昆明市国家重点保护鸟类栖息地适宜性评价

Habitat Suitability Evaluation of National Key Protected Birds in Kunming Based on MaxEnt Model
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摘要 基于昆明市17种国家重点保护鸟类分布数据和25种环境变量数据,利用最大熵模型分析其在昆明市的空间分布格局及高适宜区,开展大尺度鸟类栖息地适宜性评价。结果表明:滇池及其周边地区是鸟类适宜生存和繁殖的重要区域;除人为干扰外,最湿月份降水量(bio13)、距离水源距离(DW)和土地利用类型(LU)对鸟类适宜区的影响程度较高,耕地、林地和草地等生境类型更受鸟类的偏爱;昆明市的鸟类适宜区仍有14756.93 km^(2)的区域未被保护,占适宜区面积的77.94%。研究结果可为昆明市鸟类多样性保护规划及栖息地营建提供科学参考,对维持区域生态系统稳定具有重要意义。 Based on the distribution data of 17 nationally protected bird species and 25 environmental vari-ables in Kunming,the spatial distribution pattern and high suitability zones were analyzed using the Maximum Entropy Model to evaluate the habitat suitability of birds in Kunming at a large scale.The results showed that the Dianchi Lake and its surrounding areas are important areas for birds to survive and reproduce;in addition to an-thropogenic disturbances,precipitation of the wettest month(bio13),distance from water(DW)and land use type(LU)have a higher degree of influence on the suitable areas for birds,and habitat types such as cropland,woodland and grassland are more preferred by birds;there are still 14756.93 km^(2)of unprotected areas in the bird-friendly areas in Kunming,accounting for 77.94%of the area of the suitable areas.The results of this study can provide scientific references for the conservation planning and habitat construction of bird diversity in Kunming,which is of great significance for maintaining the stability of the regional ecosystem.
作者 李瑞 杨建欣 马长乐 郭帅龙 杨黎星 王李娟 Li Rui;Yang Jianxin;Ma Changle;Guo Shuailong;Yang Lixing;Wang Lijuan(College of Landscape Architecture and Horticulture,Southwest Forestry University,Kunming Yunnan 650233,China;Southwest Research Center of National Forestry and Grassland Administration for Engineering Technology of Landscape Architecture,Kunming Yunnan 650233,China)
出处 《西南林业大学学报(自然科学)》 CAS 北大核心 2024年第5期165-175,共11页 Journal of Southwest Forestry University:Natural Sciences
基金 云南省农业联合重点项目(202301BD070001-150)资助 云南省教育厅科学研究基金项目(2022Y616,2023Y0757)资助 西南林业大学风景园林科研预研基金(18210171)资助。
关键词 鸟类 栖息地 适宜性评价 MaxEnt模型 生物多样性 昆明市 avian habitat suitability evaluation Maximum Entropy Model biodiversity Kunming
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