覆盖作物
碳补偿
碳信用
耕作
土壤碳
产量(工程)
农业经济学
经济
业务
自然资源经济学
农学
环境科学
农林复合经营
温室气体
生态学
生物
土壤科学
土壤水分
冶金
材料科学
作者
Adrienne L. Contasti,Alexandra G. Firth,Beth H. Baker,John P. Brooks,Martin A. Locke,Dana J. Morin
出处
期刊:Decision Analysis
[Institute for Operations Research and the Management Sciences]
日期:2023-05-22
卷期号:20 (4): 252-275
被引量:6
标识
DOI:10.1287/deca.2023.0478
摘要
There is a need to achieve sustainable agricultural production to secure food, fiber, and fuel for a growing global population. Climate-smart (CS) actions (no-till and cover crops) can reduce carbon emissions and promote soil organic carbon (SOC) storage. Contemporary voluntary carbon markets provide producers with a monetary incentive to adopt CS actions. However, SOC–yield dynamics under CS actions are not well known, making it difficult for producers to judge whether additional income from carbon credits will offset potential losses to yield income. We designed a SOC–yield framework that captures SOC–yield–income dynamics under traditional (reduced tillage, no cover crops) and CS actions. Using a modified structured decision-making approach, we applied the framework to a case study in which producers aim to increase income by selling carbon credits after adopting CS actions. Specifically, we demonstrated how to balance tradeoffs between yield and carbon credit income that arise from tillage and winter cover crop actions (cereal rye, Secale cereale L. and crimson clover, Trifolium incarnatum L.) in a soybean (Glycine max L.) production system in Mississippi. Results indicated that a producer could minimize losses to net yield income by adopting no-till if already using cover crops. There was also evidence that carbon credit income could offset losses to yield income when adopting CS in place of traditional actions. Identifying risks to yield income and SOC storage can help design carbon neutrality policies that have minimum impact on a producer’s income. History: This paper has been accepted for the Decision Analysis Special Issue on Decision Analysis to Advance Environmental Sustainability. Funding: This work was supported by the USDA-ARS [Grants 58-0200-0-002 (Advancing Agricultural Research) and 58-6001-8-003] and the USDA National Institute of Food and Agriculture [McIntire Stennis Project 1020959]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/deca.2023.0478 .
科研通智能强力驱动
Strongly Powered by AbleSci AI