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

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

SUBMITTER: Duan H 

PROVIDER: S-EPMC7391315 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature