A dataset of lake-catchment characteristics for the Tibetan Plateau
(2022) In Earth System Science Data 14(8). p.3791-3805- Abstract
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 50000km2, 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 4503km2 on the TP. Considering that large lakes block the transport of materials from upstream to downstream, lake catchments... (More)
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 50000km2, 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 4503km2 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 inter-lake catchments, which are obtained by excluding the contributing areas of upstream lakes larger than 0.2km2 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 (10.11888/Terre.tpdc.272026, Liu, 2022).
(Less)
- author
- Liu, Junzhi ; Fang, Pengcheng ; Que, Yefeng ; Zhu, Liang Jun ; Duan, Zheng LU ; Tang, Guoan ; Liu, Pengfei ; Ji, Mukan and Liu, Yongqin
- organization
- publishing date
- 2022-08-25
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Earth System Science Data
- volume
- 14
- issue
- 8
- pages
- 15 pages
- publisher
- Copernicus GmbH
- external identifiers
-
- scopus:85137757578
- ISSN
- 1866-3508
- DOI
- 10.5194/essd-14-3791-2022
- language
- English
- LU publication?
- yes
- id
- f53b9625-cb6d-4d26-99d2-f1947a47a123
- date added to LUP
- 2022-12-09 10:56:35
- date last changed
- 2022-12-09 10:56:35
@article{f53b9625-cb6d-4d26-99d2-f1947a47a123,
abstract = {{<p>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 50000km2, 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 4503km2 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 inter-lake catchments, which are obtained by excluding the contributing areas of upstream lakes larger than 0.2km2 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 (10.11888/Terre.tpdc.272026, Liu, 2022).</p>}},
author = {{Liu, Junzhi and Fang, Pengcheng and Que, Yefeng and Zhu, Liang Jun and Duan, Zheng and Tang, Guoan and Liu, Pengfei and Ji, Mukan and Liu, Yongqin}},
issn = {{1866-3508}},
language = {{eng}},
month = {{08}},
number = {{8}},
pages = {{3791--3805}},
publisher = {{Copernicus GmbH}},
series = {{Earth System Science Data}},
title = {{A dataset of lake-catchment characteristics for the Tibetan Plateau}},
url = {{http://dx.doi.org/10.5194/essd-14-3791-2022}},
doi = {{10.5194/essd-14-3791-2022}},
volume = {{14}},
year = {{2022}},
}