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A Chinese soil conservation dataset preventing soil water erosion from 1992 to 2019
by
Li, Jialei
, He, Hongbin
, Sun, Ranhao
, Chen, Liding
, Zeng, Qinghua
in
704/158/2458
/ 704/2151/215
/ Data Descriptor
/ Datasets
/ Humanities and Social Sciences
/ Land use planning
/ multidisciplinary
/ Rainfall
/ Science
/ Science (multidisciplinary)
/ Soil conservation
/ Soil erosion
/ Soil properties
/ Terrestrial ecosystems
2023
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A Chinese soil conservation dataset preventing soil water erosion from 1992 to 2019
by
Li, Jialei
, He, Hongbin
, Sun, Ranhao
, Chen, Liding
, Zeng, Qinghua
in
704/158/2458
/ 704/2151/215
/ Data Descriptor
/ Datasets
/ Humanities and Social Sciences
/ Land use planning
/ multidisciplinary
/ Rainfall
/ Science
/ Science (multidisciplinary)
/ Soil conservation
/ Soil erosion
/ Soil properties
/ Terrestrial ecosystems
2023
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Do you wish to request the book?
A Chinese soil conservation dataset preventing soil water erosion from 1992 to 2019
by
Li, Jialei
, He, Hongbin
, Sun, Ranhao
, Chen, Liding
, Zeng, Qinghua
in
704/158/2458
/ 704/2151/215
/ Data Descriptor
/ Datasets
/ Humanities and Social Sciences
/ Land use planning
/ multidisciplinary
/ Rainfall
/ Science
/ Science (multidisciplinary)
/ Soil conservation
/ Soil erosion
/ Soil properties
/ Terrestrial ecosystems
2023
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A Chinese soil conservation dataset preventing soil water erosion from 1992 to 2019
Journal Article
A Chinese soil conservation dataset preventing soil water erosion from 1992 to 2019
2023
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Overview
Soil conservation service (SC) is defined as the ability of terrestrial ecosystems to control soil erosion and protect soil function. A long-term and high-resolution estimation of SC is urgent for ecological assessment and land management on a large scale. Here, a 300-m resolution Chinese soil conservation dataset (CSCD) from 1992 to 2019, for the first time, is established based on the Revised Universal Soil Loss Equation (RUSLE) model. The RUSLE modelling was conducted based on five key parameters, including the rainfall erosivity (interpolation of daily rainfall), land cover management (provincial data), conservation practices (weighted by terrain and crop types), topography (30 m), and soil properties (250 m). The dataset agrees with previous measurements in all basins (R
2
> 0.5) and other regional simulations. Compared with current studies, the dataset has long-term, large-scale, and relatively high-resolution characteristics. This dataset will serve as a base to open out the mechanism of SC variations in China and could help assess the ecological effects of land management policies.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
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