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Using citizen science data to inform the relative sensitivity of waterbirds to natural versus human-dominated landscapes in China

文献类型：期刊论文

作者Duan, Houlang1,2; Xia, Shaoxia1; Yu, Xiubo1,2; Liu, Yu1; Teng, Jiakun1,2; Dou, Yuehan1,3
刊名ECOLOGY AND EVOLUTION
出版日期2020-06-09
页码9
关键词China functional group human-dominated landscapes natural landscapes sensitivity waterbirds
ISSN号2045-7758
DOI10.1002/ece3.6449
通讯作者Yu, Xiubo(yuxb@igsnrr.ac.cn)
英文摘要Habitat loss is widely regarded as one of the most destructive factors threatening native biodiversity. Because migratory waterbirds include some of the most globally endangered species, information on their sensitivity to landscape would benefit their conservation. While citizen science data on waterbird species occurrence are subjected to various biases, their appropriate interpretation can provide information of benefit to species conservation. We apply a bootstrapping procedure to citizen science data to reduce sampling biases and report the relative sensitivity of waterbird species to natural versus human-dominated landscapes. Analyses are performed on 30,491 data records for 69 waterbird species referred to five functional groups observed in China between 2000 and 2018. Of these taxa, 30 species (43.5%) are significantly associated with natural landscapes, more so for cranes, geese, and ducks than for shorebirds and herons. The relationship between land association and the threat status of waterbirds is significant when the range size of species is considered as the mediator, and the higher the land association, the higher the threat status. Sensitive species significantly associated with natural landscapes are eight times more likely to be classified as National Protected Species (NPS) Classes I or II than less sensitive species significantly associated with human-dominated landscapes. We demonstrate the potential for citizen science data to assist in conservation planning in the context of landscape changes. Our methods might assist others to obtain information to help relieve species decline and extinction.
WOS关键词DISTRIBUTION MODELS ; INTERTIDAL HABITAT ; OCCUPANCY MODELS ; BIRDS ; SHOREBIRDS ; RESPONSES ; WATERFOWL ; HOTSPOTS ; LOSSES ; BIAS
资助项目Earth Big Data Scientific Engineering project of the Chinese Academy of Sciences[XDA19020305] ; Developing China's Coastal WaterBirds and Habitats Database Project ; National Natural Science Foundation of China[41701212]
WOS研究方向Environmental Sciences & Ecology ; Evolutionary Biology
语种英语
WOS记录号WOS:000538997300001
出版者WILEY
资助机构Earth Big Data Scientific Engineering project of the Chinese Academy of Sciences ; Developing China's Coastal WaterBirds and Habitats Database Project ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/162236]  
专题中国科学院地理科学与资源研究所
通讯作者Yu, Xiubo
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
3.Wageningen Univ & Res, Land Use Planning Grp, Wageningen, Netherlands
推荐引用方式
GB/T 7714		 Duan, Houlang,Xia, Shaoxia,Yu, Xiubo,et al. Using citizen science data to inform the relative sensitivity of waterbirds to natural versus human-dominated landscapes in China[J]. ECOLOGY AND EVOLUTION,2020:9.
APA Duan, Houlang,Xia, Shaoxia,Yu, Xiubo,Liu, Yu,Teng, Jiakun,&Dou, Yuehan.(2020).Using citizen science data to inform the relative sensitivity of waterbirds to natural versus human-dominated landscapes in China.ECOLOGY AND EVOLUTION,9.
MLA Duan, Houlang,et al."Using citizen science data to inform the relative sensitivity of waterbirds to natural versus human-dominated landscapes in China".ECOLOGY AND EVOLUTION (2020):9.

入库方式： OAI收割

来源：地理科学与资源研究所

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