Hydrologic variability governs GHG emissions in rice-based cropping systems of Eastern India
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View abstract on PubMed
Summary
This summary is machine-generated.Reducing methane (CH4) emissions from rice cultivation is crucial. Hydrologic variability in Eastern India significantly impacts greenhouse gas (GHG) emissions, necessitating tailored mitigation strategies.
Area Of Science
- Agricultural Science
- Environmental Science
- Climate Science
Background
- Methane (CH4) emissions from agriculture, particularly rice cultivation, are a major greenhouse gas (GHG) mitigation priority.
- Current methane reduction strategies for rice often overlook the complex water management realities faced by farmers.
- Hydrologic variability in monsoon-fed rice systems, common in Eastern India, creates diverse field conditions impacting emissions.
Purpose Of The Study
- To characterize hydrologic variability in monsoon rice fields in Eastern India.
- To estimate greenhouse gas (GHG) emissions under observed hydrologic conditions using the DNDC model.
- To identify key drivers of GHG emissions in this region.
Main Methods
- Field hydrology was monitored for 207 monsoon rice fields across two contrasting years (2021, 2022).
- The Denitrification Decomposition (DNDC) model was employed to simulate GHG emissions based on observed hydrologic patterns.
- Statistical clustering was used to identify distinct field hydrology patterns.
Main Results
- Five distinct clusters of field hydrology were identified annually, though patterns varied between years.
- Greenhouse gas (GHG) emissions in 2021 were double those in 2022, highlighting significant inter-annual climate impact.
- Flooding duration, crop residue management, and nitrogen application were identified as key drivers of emissions.
Conclusions
- Hydrologic complexity and variability are critical factors influencing landscape-level GHG emissions from rice in Eastern India.
- Mitigation strategies must account for this variability to be effective and accurate.
- Understanding emission distributions across landscapes and seasons is essential for targeted GHG reduction efforts.
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