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

• Main Authors: Houlang Duan, Shaoxia Xia, Xiubo Yu, Yu Liu, Jiakun Teng, Yuehan Dou
• Format: Article
• Language: English
• Published: Wiley 2020-07-01
• Series: Ecology and Evolution
• Subjects: China; functional group; human‐dominated landscapes; natural landscapes; sensitivity; waterbirds
• Online Access: https://doi.org/10.1002/ece3.6449

Abstract 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.