Spatial benefit difference of fertilizer reduction and substitution policy based on grid scale: A case study of the Heihe River Basin
- Guijun Liu 1, Huimin Wang 2, Gang Liu 2, Shengshen Li 3, Feng Wu 4
- Guijun Liu 1, Huimin Wang 2, Gang Liu 2
- 1College of Management and Economics, Tianjin University, Tianjin, 300072, China; Laboratory of Computation and Analytics of Complex Management Systems (CACMS), Tianjin University, Tianjin, 300072, China; Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
- 2College of Management and Economics, Tianjin University, Tianjin, 300072, China; Laboratory of Computation and Analytics of Complex Management Systems (CACMS), Tianjin University, Tianjin, 300072, China.
- 3Politecnico di Milano, Milan, 20133, Italy.
- 4Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
- 0College of Management and Economics, Tianjin University, Tianjin, 300072, China; Laboratory of Computation and Analytics of Complex Management Systems (CACMS), Tianjin University, Tianjin, 300072, China; Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
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View abstract on PubMed
Summary
This summary is machine-generated.Balancing organic and chemical fertilizers is key for green agriculture. Improving fertilizer efficiency alongside organic subsidies boosts crop yields and reduces emissions, aiding food security and sustainability.
Area Of Science
- Agricultural Science
- Environmental Science
- Policy Analysis
Background
- Green agriculture development requires balancing organic and chemical fertilizer use for food security and environmental sustainability.
- Existing research lacks grid-scale economic and environmental impact assessments of fertilizer policies and their effects on diverse crops.
- Previous models like SIMPLE-G were limited to single crops and did not simulate organic fertilizer substitution.
Purpose Of The Study
- To develop and apply the SIMPLE-G-Heihe model for simulating green agricultural policy impacts on multiple crops in arid regions.
- To address limitations of previous models by incorporating multiple crop types and organic fertilizer substitution.
- To provide insights into optimizing fertilizer policies for economic and environmental benefits.
Main Methods
- Development of the SIMPLE-G-Heihe model, an advancement of the SIMPLE-G model, to simulate green agricultural policies.
- Simulation of the impacts of varying organic fertilizer subsidies and chemical fertilizer technology improvements.
- Analysis of policy effects on crop yields, economic output, and environmental indicators (N2O emissions) at a grid scale.
Main Results
- Increasing organic fertilizer subsidies alone is insufficient for significant yield enhancement; improved fertilizer utilization efficiency is crucial.
- A combination of enhanced chemical fertilizer technology (8%) and organic fertilizer subsidies (3%) increases vegetable output value by 0.27% and reduces N2O emissions by 1.09%.
- Significant reductions in fertilizer use were observed, particularly for vegetables in upstream areas and for wheat and maize in upstream and midstream areas of the Heihe River Basin.
Conclusions
- Integrated policies combining technological improvements and targeted subsidies are effective for economic and environmental gains in agriculture.
- Policy impacts exhibit spatial heterogeneity, with upstream areas showing significant fertilizer reduction, especially for vegetables.
- The findings offer valuable insights for implementing flexible and spatially differentiated green agriculture strategies in China.
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