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An Agrigenomics Trifecta: Greenhouse Gas Drawdown, Food Security, and New Drugs
1College of Engineering, Boston University, Boston, Massachusetts 02215, USA Delisi@bu.edu.
Evaluating U.S. greenhouse gas (GHG) control plans using empirical data shows minimal impact on atmospheric GHG levels and global temperatures. Effective climate change mitigation requires GHG drawdown strategies like agrigenomics.
Area of Science:
- Environmental Science
- Climate Science
- Agronomy
Background:
- Decades of data on greenhouse gas (GHG) emissions, atmospheric concentrations, and global temperatures are available.
- The U.S. has implemented a plan to control GHG emissions.
- Evaluating the effectiveness of this plan requires empirical analysis.
Purpose of the Study:
- To empirically evaluate the U.S. plan for controlling greenhouse gas (GHG) emissions.
- To determine the consequential impact of the U.S. plan on atmospheric GHG levels and global temperatures.
- To explore effective GHG drawdown strategies.
Main Methods:
- Analysis of historical data on GHG emission rates.
- Analysis of historical data on atmospheric GHG concentrations.
- Analysis of historical data on global average temperatures.
Main Results:
- The difference between projected atmospheric GHG levels under current trends and the U.S. plan's goals is inconsequential, even with global implementation.
- Expected globally averaged temperature differences are within the margin of measurement error.
- The analysis supports the necessity of GHG drawdown strategies for effective climate mitigation.
Conclusions:
- Current U.S. GHG control plans, even if globally adopted, show minimal impact on atmospheric concentrations and global temperatures.
- Effective climate change mitigation necessitates strategies that actively reduce atmospheric GHGs.
- Agrigenomics presents a promising strategy for a "trifecta" of climate mitigation, food security, and medical advancements.
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