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Mapping Habitat Suitability of Migratory Birds During Extreme Drought of Large Lake Wetlands: Insights from Crowdsourced Geographic Data

Author

Listed:
  • Xinggen Liu

    (School of Civil and Surveying & Mapping Engineering, Jiangxi University of Science and Technology, No. 1958, Kejia Ave., Ganzhou 341000, China
    Jiangxi Provincial Key Laboratory of Water Ecological Conservation in Headwater Regions, Jiangxi University of Science and Technology, No. 1958, Kejia Ave., Ganzhou 341000, China)

  • Lyu Yuan

    (School of Civil and Surveying & Mapping Engineering, Jiangxi University of Science and Technology, No. 1958, Kejia Ave., Ganzhou 341000, China)

  • Zhiwen Li

    (School of Civil and Surveying & Mapping Engineering, Jiangxi University of Science and Technology, No. 1958, Kejia Ave., Ganzhou 341000, China
    Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, No.2, Wulongjiang North Ave., Fuzhou 350108, China)

  • Yuanyuan Huang

    (School of Civil and Surveying & Mapping Engineering, Jiangxi University of Science and Technology, No. 1958, Kejia Ave., Ganzhou 341000, China)

  • Yulan Li

    (School of Civil and Surveying & Mapping Engineering, Jiangxi University of Science and Technology, No. 1958, Kejia Ave., Ganzhou 341000, China)

Abstract

Comprehending the alterations in wintering grounds of migratory birds amid global change and anthropogenic influences is pivotal for advancing wetland sustainability and ensuring avian conservation. Frequent extreme droughts in the middle and lower Yangtze River region of China have posed severe ecological and socio-economic dilemmas. The integration of internet-derived, crowdsourced geographic data with remote-sensing imagery now facilitates assessments of these avian habitats. Poyang Lake, China’s largest freshwater body, suffered an unprecedented drought in 2022, offering a unique case study on avian habitat responses to climate extremes. By harnessing social and online platforms’ media reports, we analyzed the types, attributes and proportions of migratory bird habitats. This crowdsourced geographic information, corroborated by Sentinel-2 optical remote-sensing imagery, elucidated the suitability and transformations of these habitats under drought stress. Our findings revealed marked variations in habitat preferences among bird species, largely attributable to divergent feeding ecologies and behavioral patterns. Dominantly, shallow waters emerged as the most favored habitat, succeeded by mudflats and grasslands. Remote-sensing analyses disclosed a stark 60% reduction in optimal habitat area during the drought phase, paralleled by a 1.5-fold increase in unsuitable habitat areas compared to baseline periods. These prime habitats were chiefly localized in Poyang Lake’s western sub-lakes. The extreme drought precipitated a drastic contraction in suitable habitat extent and heightened fragmentation. Our study underscores the value of crowdsourced geographic information in assessing habitat suitability for migratory birds. Retaining sub-lake water surfaces within large river or lake floodplains during extreme droughts emerges as a key strategy to buffer the impacts of hydrological extremes on avian habitats. This research contributes to refining conservation strategies and promoting adaptive management practices of wetlands in the face of climate change.

Suggested Citation

  • Xinggen Liu & Lyu Yuan & Zhiwen Li & Yuanyuan Huang & Yulan Li, 2025. "Mapping Habitat Suitability of Migratory Birds During Extreme Drought of Large Lake Wetlands: Insights from Crowdsourced Geographic Data," Land, MDPI, vol. 14(6), pages 1-24, June.
  • Handle: RePEc:gam:jlands:v:14:y:2025:i:6:p:1236-:d:1674606
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