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Monitoring Dataset on Waterbirds in Qinghai Lake Basin (2023)


LI Ying1,2LI Xingyue1,2CHEN Zhen1,2SUN Jianqing3WANG Siyu1,2WANG Mingyu1,2YANG Jianpeng1,2CHEN Yarong1,2CHEN Kelong*1,2
1 Key Laboratory of Physical Geography and Environmental Processes in Qinghai Province,School of Geographic Sciences,Qinghai Normal University,Xining 810008,China2 Qinghai Lake Wetland Ecosystem National Positioning Observation and Research Station,Haibei 812200,China3 Qinghai Lake National Nature Reserve Administration,Xining 810008,China

DOI:10.3974/geodb.2023.11.02.V1

Published:Nov. 2023

Visitors:1979       Data Files Downloaded:38      
Data Downloaded:852.31 MB      Citations:

Key Words:

WaterfowlMonitoring2023

Abstract:

The Qinghai Lake Basin is located in the northeastern part of the Tibetan Plateau, it is a gene pool of bird species in the Tibetan Plateau. In August 2023, we monitored waterbirds (waterfowls) at 26 sample sites in 24 observation stations in the basin. The monitoring contents include: habitat type, bird species name and number, etc. Then the monitoring dataset on waterbirds in Qinghai Lake Basin (2023) was obtained. The dataset includes: (1) general information on waterbirds monitoring area in 2023; (2) waterbirds monitoring data in Qinghai Lake basin; (3) evaluation of waterbirds dominant species; (4) waterbirds richness; (5) photos of waterbirds in 2023. The dataset is archived in .xlsx, .jpg, and .docx data formats, and consists of 6 data files with data size of 22.4 MB (Compressed into one file with 22.4 MB).Browse

Foundation Item:

Ministry of Science and Technology of P. R. China (2019QZKK0405); Science and Technology Department of Qinghai Province (2022-QY-204, 2023-ZJ-905T)

Data Citation:

LI Ying, LI Xingyue, CHEN Zhen, SUN Jianqing, WANG Siyu, WANG Mingyu, YANG Jianpeng, CHEN Yarong, CHEN Kelong*. Monitoring Dataset on Waterbirds in Qinghai Lake Basin (2023)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2023. https://doi.org/10.3974/geodb.2023.11.02.V1.

LI Ying, LI Xingyue, CHEN Zhen, et al. Monitoring dataset on waterbirds in Qinghai Lake basin (2023) [J]. Journal of Global Change Data & Discovery, 2023, 7(3): 272-280.

References:


     [1] Zhi, Y. J., Yin, J. F., Liu, W., et al. Monitoring of wintering waterbirds in Nanji Wetland National Nature Reserve of Poyang Lake [J]. Chinese Journal of Ecology, 2020, 39(7): 2400-2407.
     [2] Zhang, S. X., Dong, Y. X., Xia, F., Significance of water bird monitoring in lake ecosystem [J]. Journal of Lake Science, 2011, 23(2): 155-162.
     [3] Delany, S., Guidelines for participants in the International Waterbird Census (IWC) [J]. Wetlands International, 2005(1): 1-15.
     [4] Li, X. M., Chen, R. M., Xiao, W. F., et al. Waterbird monitoring: History and present situation and suggestions for future development in China [J]. Wetland Science, 2019, 18(6): 633-645.
     [5] Cheiren, Z. M. Legal research on the protection of Qinghai Lake wetland ecosystem [D]. Lanzhou: Lanzhou University, 2016.
     [6] Hou, Y. S., He, Y. B., Xing, Z., et al. Diversity and distribution of waterbirds in Qinghai Lake National Nature Reserve [J]. Acta Zootaxologica Sinica, 2009, 34(1): 184-187.
     [7] Zhang, F. Y., Yang, R. L., Study on Bird Migration in China [M]. Beijing: China Forestry Publishing House, 1997: 101-196.
     [8] Howes, J., Bakewell, D. Shorebird Studies Manual [M]. Kuala Lumpur, Malaysia: Asian Wetland Bureau, 1989.
     [9] Wang, K. X., Study on population dynamics and key habitat drivers of 6 typical waterbirds in Shenhu Wetland Nature Reserve [D]. Hubei: Huazhong Agricultural University, 2022.
     [10] Li, X. Y., Sun, J. Q., Chen, Y. R., et al. Monitoring dataset on waterbirds in Qinghai Lake Basin (2021-2022) [J/DB/OL]. Digital Journal of Global Change Data Repository, 2023. https://doi.org/10.3974/geodb.2023.06.04.V1.
     [11] Chen, Z. R., Sun, J. Q., Hou, Y. S., et al. Waterfowl habitat and migration dataset collecting from 30 sample sites in Qinghai Lake Basin (2018)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2021. https://doi.org/10.3974/geodb.2021.10.01.V1.
     

Data Product:

ID Data Name Data Size Operation
0Datapaper_WaterfowlMonitoring2023.pdf2718.00kbDownLoad
1 QinghaiLakeWaterfowl2023.rar 22967.51KB
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