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A dataset of lake-catchment characteristics for the Tibetan Plateau

文献类型：期刊论文

作者Liu, Junzhi1,6; Fang, Pengcheng5,6; Que, Yefeng5,6; Zhu, Liang-Jun4; Duan, Zheng3; Tang, Guoan5,6; Liu, Pengfei1; Ji, Mukan1; Liu, Yongqin1,2
刊名EARTH SYSTEM SCIENCE DATA
出版日期2022-08-25
卷号14期号:8页码:3791-3805
ISSN号1866-3508
DOI10.5194/essd-14-3791-2022
英文摘要The management and conservation of lakes should be conducted in the context of catchments because lakes collect water and materials from their upstream catchments. Thus, the datasets of catchment-level characteristics are essential for limnology studies. Lakes are widely spread on the Tibetan Plateau (TP), with a total lake area exceeding 50 000 km(2), accounting for more than half of the total lake area in China. However, there has been no dataset of lake-catchment characteristics in this region to date. This study constructed the first dataset of lake-catchment characteristics for 1525 lakes with areas from 0.2 to 4503 km(2) on the TP. Considering that large lakes block the transport of materials from upstream to downstream, lake catchments are delineated in two ways: the full catchment, which refers to the full upstream-contributing area of each lake, and the interlake catchments, which are obtained by excluding the contributing areas of upstream lakes larger than 0.2 km(2) from the full catchment. There are six categories (i.e., lake body, topography, climate, land cover/use, soil and geology, and anthropogenic activity) and a total of 721 attributes in the dataset. Besides multi-year average attributes, the time series of 16 hydrological and meteorological variables are extracted, which can be used to drive or validate lumped hydrological models and machine learning models for hydrological simulation. The dataset contains fundamental information for analyzing the impact of catchment-level characteristics on lake properties, which on the one hand, can deepen our understanding of the drivers of lake environment change, and on the other hand can be used to predict the water and sediment properties in unsampled lakes based on limited samples. This provides exciting opportunities for lake studies in a spatially explicit context and promotes the development of landscape limnology on the TP. The dataset of lake-catchment characteristics for the Tibetan Plateau (LCC-TP v1.0) is accessible at the National Tibetan Plateau/Third Pole Environment Data Center (https://doi.org/10.11888/Terre.tpdc.272026, Liu, 2022).
WOS关键词ATTRIBUTES ; METEOROLOGY
资助项目National Key Research and Development Program of China[2019QZKK0503] ; National Natural Science Foundation of China[42171132] ; National Natural Science Foundation of China[41930102]
WOS研究方向Geology ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000844448300001
出版者COPERNICUS GESELLSCHAFT MBH
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/182900]  
专题资源与环境信息系统国家重点实验室_外文论文
作者单位1.Lanzhou Univ, Ctr Pan Third Pole Environm, Lanzhou 730000, Peoples R China
2.Chinese Acad Sci, Inst Tibetan Plateau Res, State Key Lab Tibetan Plateau Earth Syst Resource, Beijing 100101, Peoples R China
3.Lund Univ, Dept Phys Geog & Ecosyst Sci, S-22100 Lund, Sweden
4.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
5.Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, Nanjing 210023, Peoples R China
6.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Junzhi,Fang, Pengcheng,Que, Yefeng,et al. A dataset of lake-catchment characteristics for the Tibetan Plateau[J]. EARTH SYSTEM SCIENCE DATA,2022,14(8):3791-3805.
APA Liu, Junzhi.,Fang, Pengcheng.,Que, Yefeng.,Zhu, Liang-Jun.,Duan, Zheng.,...&Liu, Yongqin.(2022).A dataset of lake-catchment characteristics for the Tibetan Plateau.EARTH SYSTEM SCIENCE DATA,14(8),3791-3805.
MLA Liu, Junzhi,et al."A dataset of lake-catchment characteristics for the Tibetan Plateau".EARTH SYSTEM SCIENCE DATA 14.8(2022):3791-3805.

入库方式： OAI收割

来源：地理科学与资源研究所

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