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

Houlang Duan; Shaoxia Xia; Xiubo Yu; Yu Liu; Jiakun Teng; Yuehan Dou

doi:10.1002/ece3.6449

journal article Open Access Jun 09, 2020

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

Houlang Duan

Shaoxia Xia

Xiubo Yu Yu Liu

Jiakun Teng Yuehan Dou

Ecology and Evolution Vol. 10 No. 14 pp. 7233-7241 · Wiley

View at Publisher Save 10.1002/ece3.6449

Abstract

AbstractHabitat 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.

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Details

Published: Jun 09, 2020
Vol/Issue: 10(14)
Pages: 7233-7241
License: View

Authors

H

Houlang Duan

Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China; College of Resources and Environment University of Chinese Academy of Sciences Beijing China

S

Shaoxia Xia

Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China

X

Xiubo Yu

Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China; College of Resources and Environment University of Chinese Academy of Sciences Beijing China

Y

Yu Liu

Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China

J

Jiakun Teng

Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China; College of Resources and Environment University of Chinese Academy of Sciences Beijing China

Y

Yuehan Dou

Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China; Land Use Planning Group Wageningen University and Research Wageningen The Netherlands

Funding

National Natural Science Foundation of China Award: 41701212

Cite This Article

Houlang Duan, Shaoxia Xia, Xiubo Yu, et al. (2020). Using citizen science data to inform the relative sensitivity of waterbirds to natural versus human‐dominated landscapes in China. Ecology and Evolution, 10(14), 7233-7241. https://doi.org/10.1002/ece3.6449

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

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