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Updated: Sep 15, 2025
12:44
Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
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[Spatial-temporal Patterns of Carbon Flows and Scenario Simulation in Resource-based Cities in Dry Areas]
Xiao-Min Wang1, Xiao-Yan Bu1, Ling-Na Du1
1School of Geography and Planning, Ningxia University, Yinchuan 750021, China.
Huan Jing Ke Xue= Huanjing Kexue
|July 18, 2025
Summary
Land use changes in dryland cities increase carbon emissions and decrease carbon storage. An ecological protection scenario shows promise for mitigating negative carbon flow in resource cities.
Area of Science:
- Environmental Science
- Climate Change Research
- Urban Ecology
Context:
- Dryland resource cities face unique challenges in balancing development and environmental sustainability.
- Land use change significantly impacts carbon dynamics within these urban ecosystems.
- Understanding carbon storage and emission patterns is crucial for low-carbon development strategies.
Purpose:
- To analyze the spatial and temporal evolution of land use, carbon emissions, carbon storage, and carbon flow in a dryland resource city.
- To evaluate the impact of different future development scenarios on carbon dynamics.
- To identify key driving factors influencing carbon flow.
Summary:
- Land use changes from 2005-2020 in Shizuishan City led to increased carbon emissions and decreased carbon storage, resulting in negative net carbon flow.
- All analyzed future scenarios (2005-2035) predict negative net carbon flow, with ecological protection being most effective in mitigating this decline.
- Topographical factors (slope, DEM), proximity to roads, and climatic variables (temperature, precipitation) significantly influence carbon flow patterns.
Impact:
- Provides a scientific basis for low-carbon development in dryland resource cities.
- Offers valuable insights for the green transformation and sustainable development of resource cities in the Yellow River region.
- Supports evidence-based policymaking for constructing low-carbon cities in arid zones.
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