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Spatial Dataset of Waterbird Habitat in the Coastal Wetlands of the Yellow and Bohai Seas, China (2020)


DUAN Houlang1,2YU Xiubo*1,2
1 Key Laboratory of Ecosystem Network Observation and Modelling,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China2 University of Chinese Academy of Sciences,Beijing 100049,China

DOI:10.3974/geodb.2023.11.05.V1

Published:Nov. 2023

Visitors:556       Data Files Downloaded:28      
Data Downloaded:47.42 MB      Citations:

Key Words:

coastal wetlands of the Yellow and Bohai Seas,waterbird habitat,spatial distribution,threatened waterbird,Species Distribution Model

Abstract:

The spatial dataset of waterbird habitat in the coastal wetlands of the Yellow and Bohai Seas, China (2020) was developed based on citizen science data derived from birding websites and bioclimate data using species distribution model MaxEnt and spatial analysis. The eight endangered species are Spoon-billed Sandpiper, Great Knot, Far Eastern Curlew, Nordmann’s Greenshank, Black-faced Spoonbill, Chinese Egret, Relict Gull, and Saunders’s Gull. The spatial resolution of the dataset is 0.0011698588° (about 100 m). The dataset is archived in .tif format, and consists of 60 data files with data size of 3.07 GB (Compressed into one file with 1.69 MB). The analysis paper based on the dataset was published at Acta Eclogica Sinica, Vol.43, No.15, 2023.

Foundation Item:

Ministry of Science and Technology of P. R. China (2022YFF0802400)

Data Citation:

DUAN Houlang, YU Xiubo*.Spatial Dataset of Waterbird Habitat in the Coastal Wetlands of the Yellow and Bohai Seas, China (2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2023. https://doi.org/10.3974/geodb.2023.11.05.V1.

References:


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Data Product:

ID Data Name Data Size Operation
1 WaterbirdHabitatYellowBohaiSea2020.rar 1734.40KB
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum