Developing Country-Specific Methane Emission Factors and Carbon Fluxes from Enteric Fermentation in South Korean Dairy Cattle Production

Ibidhi, Ridha; Kim, Tae-Hoon; Bharanidharan, Rajaraman; Lee, Hyun-June; Lee, Yoo-Kyung; Kim, Na-Yeon; Kim, Kyoung-Hoon

doi:10.3390/su13169133

Cited by 13 publications

(8 citation statements)

References 15 publications

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“…Digestible energy of the feed (DE) was also required to nd the supply of NE for maintenance and growth. Since commercial feed in ROK does not provide energy content in DE units, this was approximated using the total digestible nutrient (TDN) contents and dry matter intake (DMI) acquired from eld surveys as proposed by (Ibidhi et al, 2021). In the estimation of N retention the amount of milk production was ignored as this only applies to dairy cattle.…”

Section: Nitrogen Excretion From Animalsmentioning

confidence: 99%

Evaluating the nitrogen footprint of Korean native beef cattle farms: Uncertainty analysis and mitigation scenarios

Byun

Kim

Ibidhi

et al. 2023

Preprint

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Nitrogen (N) lost during beef cattle production accompanies various environmental risks and has become a rising concern among agricultural stakeholders. The objective of this study was to quantify the N footprint of Hanwoo beef cattle production in Korea at the farm gate through a life cycle assessment approach. Field surveys conducted on 106 farms across 9 provinces to identify regional distinctions in farming systems and evaluate total N losses from beef production. N losses were calculated using emission factors from the refined IPCC guidelines, which were then expressed as N footprint (g N lost/kg of live body weight (LBW)). Uncertainty and sensitivity analyses were deployed to evaluate the precision of the results and identify factors that contributed to the output. The N footprint was averaged 132.8(± 61.9) g N/kg LBW and varied between provinces according to animal categories, manure management systems, land use and fertilizer application rates. Volatilization was the highest contributing factor, followed by leaching and denitrification, each representing 68.4, 21.4, and 10.1 percent of the N footprint. The contribution of fuel combustion was marginal. The uncertainty of the result was found to be 46.6 percent and was highly associated with emission factor uncertainties. We devised four feasible mitigation scenarios that are cost effective and do not penalize productivity, and evaluated their capacity for reducing N footprint: dietary modifications to decrease animal N excretion rates, microorganism additives to reduce volatilization from housing and manure storages recycling manure within the farm to replace synthetic fertilizers, and distributing biochar to the field after fertilizer application to curtail losses from crop production. Combining these scenarios demonstrated the potential to reduce 12.3 percent of the total N footprint. The extents of mitigation scenarios varied across provinces (ranging from 5.2 to 21.7 percent) and were shown to be contingent on feeding practices and type of crop cultivated. Overall, our study provides a national metric that can be utilized to communicate the environmental impacts of Korean beef production. The analyses indicate that more precise results could be achieved with future endeavors towards developing country-specific emission factors. The mitigation potentials of the presented scenarios propose possibilities for feasible and sustainable beef production in Korea.

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Section: Nitrogen Excretion From Animalsmentioning

confidence: 99%

Evaluating the nitrogen footprint of Korean native beef cattle farms: Uncertainty analysis and mitigation scenarios

Byun

Kim

Ibidhi

et al. 2023

Preprint

Self Cite

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“…Ibidhi et al ( 2021 ) estimated the country-specific national emission factor for CH 4 emissions from enteric fermentation in dairy cattle in South Korea using the 2006 IPCC approach. They calculated the emission factor for different age groups of animals.…”

Section: Introductionmentioning

confidence: 99%

“…They calculated the emission factor for different age groups of animals. With the developed emission factor for dairy cattle, it was determined that the South Korean dairy sector has the potential to reduce greenhouse gas emissions by approximately 97 × 10 3 tons of CO 2 equivalent per year, which corresponds to a reduction of 8% from the sector’s total emissions (Ibidhi et al 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Future prediction of biogas potential and CH4 emission with boosting algorithms: the case of cattle, small ruminant, and poultry manure from Turkey

Pence,

Kumaş,

Cesmeli

et al. 2024

Environ Sci Pollut Res

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Animal waste can be converted into a renewable energy source using biogas technology. This process has an impact on greenhouse gas emissions and is a sustainable source of energy for countries. It can reduce the effects of climate change and protect the planet for future generations. Tier1 and tier2 approaches are commonly used in the literature to calculate emissions factors. With boosting algorithms, this study estimated each animal category’s biogas potential and CH4 emissions (tier1 and tier2 approach) for 2004–2021 in all of Turkey’s provinces. Two different scenarios were created in the study. For scenario-1, the years 2020–2021 were predicted using data from 2004 to 2019, while for scenario-2, the years 2022–2024 were predicted using data from 2004 to 2021. According to the scenario-1 analysis, the eXtreme Gradient Boosting Regressor (XGBR) algorithm was the most successful algorithm with an R2 of 0.9883 for animal-based biogas prediction and 0.9835 and 0.9773 for animal-based CH4 emission predictions (tier1 and tier2 approaches) for the years 2020–2021. When the mean absolute percentage error was evaluated, it was found to be relatively low at 0.46%, 1.07%, and 2.78%, respectively. According to the scenario-2 analysis, the XGBR algorithm predicted the log10 values of the animal-based biogas potential of five major cities in Turkey for the year 2024, with 11.279 for Istanbul, 12.055 for Ankara, 12.309 for Izmir, 11.869 for Bursa, and 12.866 for Antalya. In the estimation of log10 values of CH4 emission, the tier1 approach yielded estimates of 3.080, 3.652, 3.929, 3.411, and 3.321, respectively, while the tier2 approach yielded estimates of 1.810, 2.806, 2.757, 2.552 and 2.122, respectively. Graphical Abstract

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“…Therefore, given the increasing importance of the buffalo farming industry, evidence-based data are essential to increase the knowledge of the CH 4 emission level of this species and to refine breed- and country-specific emission factors to support a more accurate inventory in order to improve the accuracy of IPCC equations for each animal category (i.e., growing, lactating or dry) [ 8 ]. In this respect, [ 9 ] reported a consistent contribution of growing buffaloes to the overall methane emission of this species.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Seasonal Variation in Methane Emissions of Mediterranean Buffaloes Using a Laser Methane Detector

Lanzoni

Chagunda

Fusaro

et al. 2022

Animals

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A direct assessment of the methane (CH4) emission level and its variability factors is needed in each animal species in order to target the best mitigation strategy for the livestock sector. Therefore, the present study aimed to (1) test a laser methane detector (LMD) for the first time in Italian Mediterranean buffaloes (IMB), a non-invasive tool to quantify CH4 emissions; (2) test the effect of season on the emissions; and (3) compare the results measured directly with the ones estimated with the existing equations. CH4 emissions of twenty non-productive IMB, under the same feeding regimen, were monitored for 12 days in summer and winter. Significantly higher THI (74.46 ± 1.88 vs. 49.62 ± 4.87; p<0.001), lower DMI (2.24 ± 0.04 vs. 2.51 ± 0.03% DMI/kg live weight; p < 0.001) and lower emission intensities (0.61±0.15 vs. 0.75 ± 0.13; p < 0.001) were found during the summer period when compared with winter. LMD was found to be a versatile tool to be used in buffaloes, and it was clear that a summer increase in THI could act as a stressor for the animals, influencing their emissions. In addition, measured emissions were significantly higher than when estimated with the existing equations (p < 0.001), suggesting the need for further research in this area.

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Developing Country-Specific Methane Emission Factors and Carbon Fluxes from Enteric Fermentation in South Korean Dairy Cattle Production

Cited by 13 publications

References 15 publications

Evaluating the nitrogen footprint of Korean native beef cattle farms: Uncertainty analysis and mitigation scenarios

Evaluating the nitrogen footprint of Korean native beef cattle farms: Uncertainty analysis and mitigation scenarios

Future prediction of biogas potential and CH4 emission with boosting algorithms: the case of cattle, small ruminant, and poultry manure from Turkey

Assessment of Seasonal Variation in Methane Emissions of Mediterranean Buffaloes Using a Laser Methane Detector

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