Articles | Volume 18, issue 2
https://doi.org/10.5194/essd-18-1519-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-1519-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A 30 m spatial resolution dataset of ecosystem services in China for 2000, 2010, and 2020
Yue Liu
State Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China
Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China
State Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China
Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China
Zhijie Zhang
Chinese Academy of Environmental Planning, Beijing, 100012, China
Jingyi Ding
State Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China
Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China
Lixin Wang
Department of Earth and Environmental Sciences, Indiana University Indianapolis, Indianapolis, IN, 46202, USA
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EGUsphere, https://doi.org/10.5194/egusphere-2025-5597, https://doi.org/10.5194/egusphere-2025-5597, 2025
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Regional coupled human–natural systems models are essential for regional sustainability. We developed a new model, CHANS-SD-YRB, using System Dynamics for the Yellow River Basin in China, which faces severe human-water conflicts. The model links 10 components, including Population, Economy, Energy, Food, Water, Sediment, Land, Carbon, and Climate to simulate basin’s key human-natural interactions. The model is applicable for sustainable development through scenario analyses and predictions.
Yue Li, Ying Ma, Xianfang Song, Qian Zhang, and Lixin Wang
Hydrol. Earth Syst. Sci., 27, 3405–3425, https://doi.org/10.5194/hess-27-3405-2023, https://doi.org/10.5194/hess-27-3405-2023, 2023
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We proposed an iteration method in combination with the MixSIAR model and water isotopes to quantify the river water contribution (RWC) to riparian deep-rooted trees nearby a losing river. River water can indirectly contribute by 20.3 % to water uptake of riparian trees. River recharged riparian groundwater rapidly with a short groundwater residence time (no more than 0.28 d). The RWC to riparian trees was negatively correlated with the water table depth and leaf δ13C in linear functions.
Jonathan Rizzi, Ana M. Tarquis, Anne Gobin, Mikhail Semenov, Wenwu Zhao, and Paolo Tarolli
Nat. Hazards Earth Syst. Sci., 21, 3873–3877, https://doi.org/10.5194/nhess-21-3873-2021, https://doi.org/10.5194/nhess-21-3873-2021, 2021
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Short summary
This study integrated the high resolution remote sensing data and ground observations to produce 30 m spatial resolution maps of four key ecosystem services in China – net primary productivity, soil conservation, sandstorm prevention, and water yield – for the years 2000, 2010, and 2020. Through comparison and cross-validation with other data sources, this dataset has been proven to have significant advantages in accuracy and applicability.
This study integrated the high resolution remote sensing data and ground observations to produce...
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