首页|苏州湿地鸟类多样性热点时空分布变化及其影响因素研究

苏州湿地鸟类多样性热点时空分布变化及其影响因素研究

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湿地鸟类在湿地生态系统中具有重要的指示作用,其多样性监测有益于开展湿地保护工作。以苏州市为研究区,基于最大熵模型模拟分析 2018、2019 和 2020 年 41 种水鸟多样性热点空间分布格局及时空变化。结果表明,对鸟类空间分布影响较大的环境因子为年均降水量、兴趣点(POI)核密度、土地利用类型和距离水源距离。3年间主要影响因子贡献度出现较明显变动,人类活动干扰因素相对稳定。水鸟多样性热点地区面积逐年增加,主要聚集在苏州北部沿长江地带的沿江滩涂湿地和西南部环太湖的大型湖泊湿地,集中程度将会进一步上升。与迁徙水鸟的热点分布情况相比,以普通翠鸟、白鹭、白胸苦恶鸟和小 为主的留鸟热点地区面积更大。由于热点地区面积扩大,2019 年的监测点已无法满足苏州水鸟全域监测的需求,建议增设双山岛区域、通沙码头区域和望虞河沿线等 15 处监测区域。
Spatiotemporal Distribution and Influencing Factors of Bird Diversity Hotspots in Suzhou Wetland
Wetland birds play an important indicative role in wetland ecosystems,and their diversity monitoring is benefi-cial for wetland conservation.Taking Suzhou City as the research area,a maximum entropy model was employed to simu-late and analyze the spatial distribution patterns and spatiotemporal variation of 41 water bird diversity hotspots in 2018,2019,and 2020.Environmental variables,including annual average precipitation,point of interest(POI)kernel density,land use type,and proximity to water source,wield substantial influence over the birds'spatial distribution.Over the tri-ennium,primary influencing factors exhibited noteworthy fluctuations,while anthropogenic disturbances demonstrated a more consistent profile.Notably,the spatial extent of waterbird diversity hotspots demonstrated a progressive expansion,primarily concentrated along the northern coastal wetlands of the Yangtze River and the expansive lake wetlands surround-ing Taihu Lake in the southwest.This trend is anticipated to intensify further.Comparative analysis of hotspot distribution between migratory and resident waterbirds,notably dominated by species such as Alcedo atthis,Egretta garzetta,Amauror-nis phoenicurus,and Podiceps ruficollis,reveals larger hotspots for the latter group.Given the burgeoning hotspot areas,monitoring points established in 2019 are deemed insufficient for comprehensive waterbird surveillance in Suzhou.Conse-quently,it is recommended to add 15 monitoring areas,including Shuangshan Island area,Tongsha Wharf area,and Wangyu River.

bird diversity hotspotmaximum entropy modeltemporal and spatial changespectral unmixingSuzhou

姜琳琳、张怡、杨羽佳、朱元航、穆清、杨朝辉

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苏州科技大学地理科学与测绘工程学院,江苏苏州 215009

英国伦敦国王学院自然科学与数学学院,英国 伦敦 WC2R 2LS

苏州科技大学环境科学与工程学院,江苏 苏州 215009

鸟类多样性热点 最大熵模型 时空变化 混合像元分解 苏州市

国家自然科学基金

41701477

2024

生态与农村环境学报
环境保护总局南京环境科学研究所

生态与农村环境学报

CSTPCDCHSSCD北大核心
影响因子:1.248
ISSN:1673-4831
年,卷(期):2024.40(3)
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