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

doi:10.1002/ece3.6449

	Using citizen science data to inform the relative sensitivity of waterbirds to natural versus human-dominated landscapes in China
	Duan, Houlang 1,2; Xia, Shaoxia 2; Yu, Xiubo 1,2; Liu, Yu 2; Teng, Jiakun 1,2; Dou, Yuehan 2,3
刊名	ECOLOGY AND EVOLUTION
	2020-06-09
页码	9
关键词	China functional group human-dominated landscapes natural landscapes sensitivity waterbirds
ISSN号	2045-7758
DOI	10.1002/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.
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关键词	DISTRIBUTION MODELS ; INTERTIDAL HABITAT ; OCCUPANCY MODELS ; BIRDS ; SHOREBIRDS ; RESPONSES ; WATERFOWL ; HOTSPOTS ; LOSSES ; BIAS
WOS研究方向	Environmental Sciences & Ecology ; Evolutionary Biology
语种	英语
出版者	WILEY
WOS记录号	WOS:000538997300001
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
内容类型	期刊论文
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.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, 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.