Emission factors estimated from enteric methane of dairy cattle in Andean zone using the IPCC Tier-2 methodology

2017 ◽  
Vol 93 (3) ◽  
pp. 783-791 ◽  
Author(s):  
Amanda Silva Parra ◽  
Jairo Mora-Delgado
2007 ◽  
Vol 87 (3) ◽  
pp. 459-467 ◽  
Author(s):  
K. H. Ominski ◽  
D. A. Boadi ◽  
K. M. Wittenberg ◽  
D. L. Fulawka ◽  
J. A. Basarab

The objective of this study was to estimate enteric methane (CH4) emissions of the Canadian cattle population using the International Panel on Climate Change (IPCC) Tier-2 methodology. Estimates were then compared with IPCC Tier-1 methodology and data from Canadian research studies (CRS). Animal inventory data for the Canadian beef and dairy cattle herd was obtained from Statistics Canada. Information on cattle performance and feeding practices were obtained from provincial cattle specialists via a survey, as well as various published reports. Methane emissions from dairy and beef cattle in Canada for 2001 were 173 030 t yr-1 or 3.6 Mt CO2 eq. and 763 852 t yr-1 or 16.0 Mt CO2 eq., respectively, using Tier-2 methodology. Emissions for dairy cattle ranged from 708 t yr-1 in Newfoundland to 62 184 t yr-1 in Ontario. Emissions for beef cattle ranged from 191 t yr-1 in Newfoundland to 356 345 t yr-1 in Alberta. The national emission factors (kg CH4 yr-1) using IPCC Tier-2 were 73, 126, 90, 94, 40, 75, 63 and 56 for dairy heifers, dairy cows, beef cows, bulls, calves < 1yr, beef heifer replacements, heifers > 1 yr, and steers > 1yr, respectively. Emission factors (kg CH4 yr-1) for the above classes of cattle using IPCC Tier-1 were 56, 118, 72, 75, 47, 56, 47 and 47, respectively. The values were 15.1% higher to 25.3% lower than those obtained using IPCC Tier-2 methodology. When IPCC Tier-2 emission factors were compared with CRS, they were 12.3% lower to 32.6% higher than those obtained using the Tier-2 methodology. In conclusion, national estimates of enteric emissions from the Canadian cattle industry using Tier-1 and Tier-2 methodologies, as well as CRS, differ depending on the methodology used. Tier-2 methodology does allow for the inclusion of information other than population data, including feeding strategies, as well as duration of time in a given production environment. Additional research is required to establish the extent to which feed energy is converted to methane for those production scenarios for which there is no published data. Key words: IPCC Tier-2, IPCC Tier-1, enteric fermentation, cattle, methane, emission factor, methane conversion rate


2021 ◽  
Author(s):  
Séga Ndao

In the context of the Paris Agreement, and considering the importance of methane emissions from cattle in West Africa, application of a Tier 2 method to estimate enteric methane emission factors is clearly pertinent. The current study has two purposes. Firstly, it aims to detect how much each input parameter contributes to the overall uncertainty of enteric methane emission factors for cattle. Secondly, it aims to identify which input parameters require additional research efforts for strengthening the evidence base, thus reducing the uncertainty of methane enteric emission factors. Uncertainty and sensitivity analysis methodologies were applied to input parameters in the calculation of enteric methane emission factors for lactating cows and adult male Senegalese native cattle using the IPCC Tier 2 model. The results show that the IPCC default input parameters, such as the coefficient for calculating net energy for maintenance (Cfi), digestible energy (DE) and the methane conversion rate (Ym) are the first, second and third most important input parameters, respectively, in terms of their contribution to uncertainty of the enteric methane emission factor. Sensitivity analysis demonstrated that future research in Senegal should prioritize the development of Ym, Cfi and DE in order to estimate enteric methane emission factors more accurately and to reduce the uncertainty of the national agricultural greenhouse gas inventory.


2016 ◽  
Vol 21 (2) ◽  
pp. 101 ◽  
Author(s):  
Yeni Widiawati ◽  
M.N. Rofiq ◽  
B. Tiesnamurti

<p class="abstrak2">Methane emission from enteric is a sub-category considered under the Agriculture sector greenhouse gas emissions by UNFCCC, thus Indonesia developed calculation on enteric CH<sub>4</sub> EF for ruminant using Tier-2 method as country-specific emission factors (EF). Indonesia has huge amount of beef cattle population, which contributes significant amount to national enteric methane emission. The aim of this study was to estimate enteric methane EF for beef cattle in Indonesia using IPCC Tier-2 method.  The EF generated from this study is then used to estimate the methane emitted from beef cattle. Data on beef cattle population was obtained from BPS, data on energy content of feed, feed intake and digestibility were compiled from laboratory analysis and published paper. Equations were adopted and followed the instruction of IPCC 2006. Local cattle has different CH<sub>4</sub> EF among each sub-category, which are  ranging from 18.18 to 55.89 Kg head-1 yr-1, with the average of 36.75  head-1 yr-1. Imported beef cattle has lower  CH<sub>4</sub> EF (25.49 kg head-1 yr-1) than the average for local beef cattle. Overall, the national CH<sub>4</sub> EF of beef cattle calculated by using IPCC Tier-2 method in Indonesia is 33.14 head-1 yr-1. The value is lower than default EF from IPCC for Asia country (47 kg head-1 yr-1). The conclusion is enteric CH<sub>4</sub> EF for beef cattle in Indonesia calculated using Tier-2 method shows the real livestock system in Indonesia condition. Further research needed to be addressed are calculation of EFs for various breeds and feeding systems, since large variations of breeds and types of feed among provinces in Indonesia.</p>


2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 157-157
Author(s):  
Tae Hoon Kim ◽  
Ridha Ibidhi ◽  
Yoo-Gyung Lee ◽  
Hyun.June Lee ◽  
Kyoung Hoon Kim

Abstract Dairy cattle farming was identified as an important source of enteric methane (CH4) emissions. In order to contribute to the improvement of the national greenhouse gas emission inventory, this work aims to develop emission factors (EF) for CH4 emissions from enteric fermentation in dairy cattle in South Korea. Information on dairy cattle herd characteristics, diet and management practices specific to the Korean dairy cattle population were gathered. EF was estimated according to the 2019 refinement to the 2006 Intergovernmental Panel on Climate Change (IPCC) using the Tier 2 approach. Three animal subcategories were considered: milking cows (650 kg body weight, BW), heifers 1~2 years (473 kg BW) and growing animals &lt; 1 year (167 kg BW). The estimated enteric CH4 EFs for milking cows, heifers 1~2 years, growing animal &lt; 1 year, were 139, 83 and 33 kg/head/year, respectively. South Korea adopted the Tier 1 default enteric CH4 EFs for GHG inventory reporting from the North America region. Compared with the generic Tier 1 default EF of 138 kg CH4/head/year proposed by the 2019 refinement to the 2006 IPCC guidelines for high milking cows, our suggested value is quite similar (139 kg CH4/ head/year). While enteric CH4 EFs values were 23% higher and 49% lower for heifers and growing animals &lt; one year than Tier 1 default EFs values, respectively. In addition, enteric CH4 EF is highly correlated with the level of milk production, feed intake and digestibility and methane conversion factor (%Ym). The outcome of this study underscores the importance of obtaining country-specific EF to estimate national enteric CH4 emissions. Thus, this work is a step forward in the revision of dairy cattle enteric CH4 EF and can further support assessment of mitigation strategies in South Korean livestock farming systems.


2021 ◽  
Author(s):  
Showman Gwatibaya ◽  
Chrispen Murungweni ◽  
Irvine Mpofu ◽  
Raphael Jingura ◽  
Accadius Tinarwo Tigere ◽  
...  

Abstract The effectiveness of methane mitigation in ruminant livestock production systems depends on the accuracy of estimating methane emission factors and providing accurate emission inventories. Following the Paris Climate agreement, it is recommended that countries adopt the Tier-2 approach for estimating enteric methane emissions from ruminants instead of the Tier-1 approach currently used by most countries. This study sought to provide base line enteric methane emission estimates for the Tuli and Mashona Sanga cattle breeds in Zimbabwe using the IPCC Tier-2 model. Using animal characterization data collected from 412 cattle from Grasslands Research Institute and 406 cattle from Makoholi Research Institute, net energy requirements were estimated. From this and the estimate for digestibility, gross energy intake and dry matter intake were estimated. Gross energy intakes and the estimated methane conversion factor were used to estimate enteric methane emissions. Mean emission factors for Tuli were 45.1, 56, 28.5, 28.4, 20.6kg CH4/head/year for cows, bulls, heifers, steers and calves respectively. For Mashona, they were 47.8, 51.9, 29, 29.1 and 20.7kgCH4/head/year for cows, bulls, heifers, steers and calves respectively. Generally, estimated Tier-2 emission factors were significantly different from the IPCC Tier-1 default emission factors. This study concluded that enteric methane emission factors estimated using the IPCC Tier-2 model offer insights into the controversial use of the default IPCC Tier-1 emission factors.


2011 ◽  
Vol 91 (2) ◽  
pp. 305-321 ◽  
Author(s):  
Aklilu Alemu ◽  
K. H. Ominski ◽  
E. Kebreab

Alemu, A. W., Ominski, K. H. and Kebreab, E. 2011. Estimation of enteric methane emissions trends (1990–2008) from Manitoba beef cattle using empirical and mechanistic models. Can. J. Anim. Sci. 91: 305–321. The objective of this study was to estimate and assess trends in enteric methane (CH4) emissions from the Manitoba beef cattle population from the base year of 1990 to 2008 using mathematical models. Two empirical (statistical) models: Intergovernmental Panel on Climate Change (IPCC) Tier 2 and a nonlinear equation (Ellis), and two dynamic mechanistic models: MOLLY (v3) and COWPOLL were used. Beef cattle in Manitoba were categorized in to 29 distinct subcategories based on management practice, physiological status, gender, age and production environment. Data on animal performance, feeding and management practices and feed composition were collected from the literature as well as from provincial and national sources. Estimates of total enteric CH4 production from the Manitoba beef cattle population varied between 0.9 and 2.4 Mt CO2 eq. from 1990 to 2008. Regardless of the type of models used, average CH4 emissions for 2008 were estimated to be 45.2% higher than 1990 levels. More specifically, CH4 emissions tended to increase between 1990 and 1996. Emissions were relatively stable between 1996 and 2002, increased between 2003 and 2005, but declined by 13.2% between 2005 and 2008, following the same trend as that observed in the beef cattle population. Models varied in their estimates of CH4 conversion rate (Ym, percent gross energy intake), emission factor (kg CH4 head−1 yr−1) and CH4 production. Total CH4 production estimates ranged from 1.2 to 2.0 Mt CO2 eq. for IPCC Tier 2, from 0.9 to 1.5 Mt CO2 eq. for Ellis, from 1.3 to 2.1 Mt CO2 eq. for COWPOLL and from 1.5 to 2.4 Mt CO2 eq. for MOLLY. The results indicate that enteric CH4 estimates and emission trends in Manitoba were influenced by the type of model and beef cattle population. As such, it is necessary to use appropriate models for reliable estimates for enteric CH4 inventory. A more robust approach may be to integrate different models by using mechanistic models to estimate regional Ym values, which may then be used as input for the IPCC Tier 2 model.


2018 ◽  
Vol 51 (4) ◽  
pp. 919-928 ◽  
Author(s):  
Séga Ndao ◽  
Charles-Henri Moulin ◽  
El Hadji Traoré ◽  
Mamadou Diop ◽  
François Bocquier

2016 ◽  
Vol 30 (4) ◽  
pp. 501-507 ◽  
Author(s):  
Alina Syp ◽  
Antoni Faber ◽  
Małgorzata Kozak

Abstract The aim of this study was to compare four tools for calculation of nitrous oxide (N2O) emissions under the renewable energy directive. All the tools follow the methodology of the international panel on climate change. The first calculations of N2O fluxes were based on the Tier 1 method using the BioGrace tool. The second and the third ones followed the Tier 2 methodology, applying the global nitrous oxide calculator and the Lesschen emission factors, respectively. The last assessment was performed in accordance with the Tier 3 approach by using the denitrification- decomposition model. The N2O fluxes were calculated for rapeseed cultivation in a 4-year crop rotation in Poland. The same input data were applied in all methods. The average of N2O emissions varied in the range of 1.99-3.78 kg N2O ha-1 y-1, depending on the approach used (Lesschen emission factors > denitrificationdecomposition > global nitrous oxide calculator > BioGrace). This paper illustrates that, at country level, the Lesschen emission factors method worked as well as the denitrification-decomposition model for Poland. The advantage of this approach is the simplicity of collecting the necessary data, in contrast to process-based modelling. Moreover, the Tier 2 method provides mitigation measures similar to the denitrification-decomposition model, related to crop type, climatic conditions, and management practices.


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