Back to Search
Start Over
A new Tier 3 method to calculate methane emission inventory for ruminants.
- Source :
-
Journal of Environmental Management . Feb2019, Vol. 231, p982-988. 7p. - Publication Year :
- 2019
-
Abstract
- Abstract Livestock is the main source of methane (CH 4) emissions. It is important to accurately determine emissions from ruminants that meet standardized international guidelines for national greenhouse gas inventories. A new method to improve the accuracy of CH 4 emissions that complies with IPCC rules for a Tier 3 method is described and evaluated. This method, developed by INRA (French Institute for Agricultural Research), was applied to the French inventory of CH 4 emissions by ruminants and compared with the IPCC Tier 2 method. For enteric CH 4 , depending on the animal category, the INRA CH 4 emission estimates lay between 88% and 114% of IPCC's. The INRA/IPCC ratio for enteric emission was close to unity and did not differ between methods (P = 0.43) for adult cows (i.e. most cattle). In France, feedlot manure is stored in aerobic conditions, and so the INRA/IPCC fit for manure emission was poorer (P < 0.05). The INRA/IPCC fit for enteric CH 4 was very close between methods to that for total CH 4 (P = 0.39), enteric CH 4 representing 93% of total emissions. The main improvement is the use of a robust equation (from numerous data and diets), based on digestible organic matter intake (DOMI) corrected for the digestive interactions, to predict CH 4 consistently from enteric and manure sources. It was developed for the French livestock inventory but is customizable for other countries. This new improved CH 4 estimation method, based on equations from a large literature database, complies with IPCC rules for a Tier 3 method. Highlights • A new method improves the estimation of methane emissions for GHG inventory. • Estimations of enteric and manure CH 4 are consistent. • Robust CH 4 predictions are based on INRA's revised ruminant feeding system. • This method can be adapted to many countries. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03014797
- Volume :
- 231
- Database :
- Academic Search Index
- Journal :
- Journal of Environmental Management
- Publication Type :
- Academic Journal
- Accession number :
- 133750144
- Full Text :
- https://doi.org/10.1016/j.jenvman.2018.10.086