Comparison of Enteric Methane Emissions in China for Different IPCC Estimation Methods and Production Schemes

dc.contributor.author Dong, Hongmin
dc.contributor.author Tao, Xiuping
dc.contributor.author Xin, Hongwei
dc.contributor.author He, Qing
dc.contributor.author Xin, Hongwei
dc.contributor.department Agricultural and Biosystems Engineering
dc.date 2018-02-13T04:14:21.000
dc.date.accessioned 2020-06-29T22:37:33Z
dc.date.available 2020-06-29T22:37:33Z
dc.date.copyright Thu Jan 01 00:00:00 UTC 2004
dc.date.embargo 2012-12-13
dc.date.issued 2004-01-01
dc.description.abstract <p>Accurate estimation of methane (CH4) emission (ME) from enteric fermentation in China is essential to establishing and maintaining a reliable global ME inventory and developing strategies to mitigate such emissions. Based on modern animal production statistics, i.e., feed quality and quantity data for different feeding systems, enteric methane emissions (EME) in China during the period of 1990 to 1998 were estimated using Intergovernmental Panel on Climate Change (IPCC) estimation methods for various production scenarios. The estimation was conducted based on: (1) Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories (Revised 1996 IPCC Guidelines) Tier 1, designated M1; (2) Revised 1996 IPCC Guidelines Tier 2, designated M2; (3) IPCC Good Practices Guidance and Uncertainty Management in National Greenhouse Gas Inventories (IPCC Good Practices Guidance) without incorporation of treated straw effect on ME, designated M3; and (4) IPCC Good Practices Guidance with incorporation of treated straw effect on ME, designated M4. The results revealed variability in ME among the four estimation methods and production conditions. Specifically, the estimated ME values in China for the peak emission year (1996) were 8,614; 11,039; 10,533; and 11,469 Gg, respectively, with M1, M2, M3, and M4, i.e., up to 33% difference from one method to another. These ME values for 1996 were 31%, 28%, 27%, and 20% higher than their respective values for 1990, the base year for evaluating future emission changes. Yellow cattle contribute more than 50% of EME in China. The methane emission factor was found to be 26% to 30% lower for yellow cattle fed treated residues than for those fed non-treated residues due to improved digestibility. This reduced ME factor translated into an estimated ME reduction of 935.7 Gg in 1996 and 1,253.5 Gg in 1998 for yellow cattle. To further improve the validity of EME estimation, it is suggested that certain quality control measures be taken, such as adjusting emission factors to reflect the changing livestock production systems and management practices, measuring ME factors in the field, and collecting and integrating current animal production statistics.</p>
dc.description.comments <p>This article is from <em><a href="http://elibrary.asabe.org/abstract.asp?aid=17802&t=3&dabs=Y&redir=&redirType=" target="_blank">Transactions of the ASAE</a> </em>47, no. 6 (2004): 2051–2057.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/abe_eng_pubs/156/
dc.identifier.articleid 1158
dc.identifier.contextkey 3535780
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_pubs/156
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/892
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_pubs/156/Xin_2004_ComparisonEntericMethane.pdf|||Fri Jan 14 20:43:27 UTC 2022
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.keywords Emission factor
dc.subject.keywords Enteric fermentation
dc.subject.keywords Greenhouse gas (GHG)
dc.subject.keywords Methane
dc.subject.keywords Treated straw
dc.title Comparison of Enteric Methane Emissions in China for Different IPCC Estimation Methods and Production Schemes
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 36e0a8ce-fa2e-4df4-9f67-8d1717122650
relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
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