.png){kind=icon}
.png){kind=icon}
Return
A scenario-based framework linking biophysical soil carbon modeling to illustrative economic signals
.png){kind=icon}
OA
AI
A
W
T
H
DOI：10.1016/j.agsy.2026.104791.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• A transparent framework links process-based SOC modeling with stylized carbon policy scenarios. • Economic outcomes represent gross carbon-revenue signals under exogenous price assumptions. • Conservation agriculture shows higher modeled carbon-revenue potential under selected scenarios. • Climate response differences are strongly influenced by model structure and parameterization. • Framework supports comparative exploration of policy scenarios rather than policy prescription.
Keywords:
Soil organic carbon
RothC model
Scenario-based analysis
Carbon pricing
Conservation agriculture
Climate mitigation
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
6.1
Papers:
3.8K
Citations:
1.4W
Organization
Cited Papers