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Understanding methane emission from stored animal manure: A review to guide model development
Frederik R Dalby1, Sasha D Hafner1,2, Søren O Petersen3
1Dep. of Biological and Chemical Engineering, Aarhus Univ., Aarhus, 8200, Denmark.
Journal of Environmental Quality
|May 22, 2021
Summary
Accurate methane (CH4) emission models require understanding microbial adaptation to manure conditions. Incorporating microbial responses to temperature, substrate, and management improves CH4 production calculations.
Area of Science:
- Environmental Science
- Microbiology
- Climate Science
Background:
- National methane (CH4) inventories rely on simplified IPCC guidelines.
- Current models inadequately represent manure management practices and environmental impacts.
- Accurate CH4 emission calculations from liquid manure require a deeper understanding of microbiological processes.
Purpose of the Study:
- To develop a detailed understanding for accurate CH4 emission models from liquid manure.
- To focus on the microbiological conversion of organic matter to CH4.
- To identify limitations in existing CH4 emission estimation approaches.
Main Methods:
- Review of microbiological conversion of organic matter to CH4 in liquid manure.
- Analysis of factors influencing methane production: environment, microbial communities, mass/electron conservation, limiting steps, inhibition, and temperature.
- Examination of existing estimation approaches and their limitations.
Main Results:
- Methane production is significantly affected by manure temperature, substrate availability and age, and management systems.
- Models must incorporate microbial responses to these variables for accurate CH4 calculations.
- Key variables influencing methane production can be manipulated through management procedures.
Conclusions:
- Accurate CH4 emission models necessitate the inclusion of microbial adaptation algorithms.
- Understanding microbial adaptation to environmental and management variations is crucial.
- Further quantification of hydrolysis kinetics and microbial adaptation is needed for improved CH4 emission modeling.

