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Data Details

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：2349       Data Files Downloaded：32      
Data Downloaded：54.20 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：


     [1] Yu, X. B., Zhang, L. Green paper of China’s Coastal Wetland Conservation (2021) [M]. Beijing: Science Press, 2022.
     [2] Yang, H. Y., Chen, B., Barter, M., et al. Impacts of tidal land reclamation in Bohai Bay, China: ongoing losses of critical Yellow Sea waterbird staging and wintering sites [J]. Bird Conservation International, 2011, 21(3): 241-259.
     [3] Studds, C. E., Kendall, B. E., Murray, N. J., et al. Rapid population decline in migratory shorebirds relying on Yellow Sea tidal mudflats as stopover sites [J]. Nature Communications, 2017, 8: 14895.
     [4] Xia, S. X., Yu, X. B., Millington, S., et al. Identifying priority sites and gaps for the conservation of migratory waterbirds in China’s coastal wetlands [J]. Biological Conservation, 2017, 210: 72-82.
     [5] Lei, G. C., Zhang, Z. W., Yu, X. B., et al. Blueprint of coastal wetland conservation and management in China [M]. Beijing: Higher Education press, 2016.
     [6] Duan, H. L., Yu, X. B., Xia, S. X., et al. Combining bootstrapping procedure and citizen science data to elucidate waterbirds’ dependence on coastal wetland [J]. Frontiers in Marine Science, 2022, 9: 888535.
     [7] MacKinnon, J., Phillipps, K., He, F. Q. A Field Guide to the Birds of China [M]. Changsha: Hunan Education Press, 2000.
     [8] Ramesh, V., Gopalakrishna, T., Barve, S., et al. IUCN greatly underestimates threat levels of endemic birds in the Western Ghats [J]. Biological Conservation, 2017, 210: 205-221.
     [9] Marsh, C. J., Gavish, Y., Kunin, W. E., et al. Mind the gap: can downscaling Area of Occupancy overcome sampling gaps when assessing IUCN Red List status? [J]. Diversity and Distributions, 2019, 25(12): 1832-1845.
     [10] Gillings, S., Balmer, D. E., Caffrey, B. J., et al. Breeding and wintering bird distributions in Britain and Ireland from citizen science bird atlases [J]. Global Ecology and Biogeography, 2019, 28(7): 866-874.
     [11] Zhang, W. Y., Li, X. H., Yu, L., et al. Multi-scale habitat selection by two declining East Asian waterfowl species at their core spring stopover area [J]. Ecological Indicators, 2018, 87: 127-135.
     [12] Ma, Z. J., Cheng, Y. X., Wang, J. Y., et al. The rapid development of birdwatching in mainland China: a new force for bird study and conservation [J]. Bird Conservation International, 2013, 23(2): 259-269.
     [13] Austin, M. Species distribution models and ecological theory: a critical assessment and some possible new approaches [J]. Ecological Modelling, 2007, 200(1/2): 1-19.
     [14] Tanner, A. M., Tanner, E. P., Papeş, M., et al. Using aerial surveys and citizen science to create species distribution models for an imperiled grouse [J]. Biodiversity and Conservation, 2020, 29(3): 967-986.
     [15] Hu, R. C., Wen, C., Gu, Y. Y., et al. A bird’s view of new conservation hotspots in China [J]. Biological Conservation, 2017, 211: 47-55.
     [16] Ma, Z. J., Melville, D. S., Liu, J. G., et al. Rethinking China’s new great wall [J]. Science, 2014, 346(6212): 912-914.
     [17] Murray, N. J., Phinn, S. R., DeWitt, M., et al. The global distribution and trajectory of tidal Flats [J]. Nature, 2019, 565(7738): 222-225.
     [18] Harte, J., Newman, E. A. Maximum information entropy: a foundation for ecological theory [J]. Trends in Ecology & Evolution, 2014, 29(7): 384-389.
     [19] Li, L. H., Liu, H. Y., Lin, Z. S., et al. Identifying priority areas for monitoring the invasion of Solidago canadensis based on MAXENT and ZONATION [J]. Acta Ecologica Sinica, 2017, 37 (9): 3124-3132.
     [20] Zeng, Q., Zhang, Y. M., Sun, G. Q., et al. Using species distribution model to estimate the wintering population size of the endangered scaly-sided merganser in China [J]. PLoS One, 2015, 10(2): e0117307.
     [21] Wang, X. D., Chen, Y., Melville, D. S., et al. Impacts of habitat loss on migratory shorebird populations and communities at stopover sites in the Yellow Sea [J]. Biological Conservation, 2022, 269: 109547.
     [22] Li, X. Y., Liang, L., Gong, P., et al. Bird watching in China reveals bird distribution changes [J]. Chinese Science Bulletin, 2013, 58(6): 649-656.
     [23] Hu, R. C., Gu, Y. Y., Luo, M., et al. Shifts in bird ranges and conservation priorities in China under climate change [J]. PLoS One, 2020, 15(10): e0240225.
     

Data Product:

ID Data Name Data Size Operation
1 WaterbirdHabitatYellowBohaiSea2020.rar 1734.40KB
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