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The key role of production efficiency changes in livestock methane emission mitigation

الدور الرئيسي لتغييرات كفاءة الإنتاج في التخفيف من انبعاثات الميثان من الثروة الحيوانية

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 11 Apr 2021 United States, France, Austria Publisher:WileyJournal:AGU Advances, volume 2 (issn: 2576-604X, eissn: 2576-604X,

Authors: Petr Havlik; Jinfeng Chang; Jinfeng Chang; Shushi Peng; Philippe Ciais; Mario Herrero; Yi Yin;

The key role of production efficiency changes in livestock methane emission mitigation

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Abstract

AbstractThe livestock sector is the largest source of anthropogenic methane emissions and is projected to increase in the future with the increased demand for livestock products. Here, we compare livestock methane emissions and emission intensities, defined by the amount of methane emitted per unit of animal proteins, estimated by different methodologies, and identify mitigation potentials in different regions of the world based on possible future projections. We show that emission intensity decreased for most livestock categories globally during 2000–2018, due to an increasing protein‐production efficiency, and the IPCC Tier 2 method should be used for capturing the temporal changes in the emission intensities. We further show that efforts on the demand‐side to promote balanced, healthy, and environmentally sustainable diets in most countries will not be sufficient to mitigate livestock methane emissions without parallel efforts to improve production efficiency. The latter efforts have much greater mitigating effects than demand‐side efforts, and hence should be prioritized in a few developing countries that contribute most of the mitigation potential.

Countries

United States, France, Austria

Related Organizations

Paris 13 University
France
Zhejiang Ocean University
China (People's Republic of)
University of Paris-Saclay
France
Health Sciences and Nutrition
Australia
Université Paris-Saclay
France

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Keywords

791, Livestock Production, 550, Economics, Geophysics. Cosmic physics, Macroeconomics, Organic chemistry, methane emission, 630, Engineering, Natural resource economics, Computer security, Sustainable development, Business, Production (economics), Rebound Effect on Energy Efficiency and Consumption, Excitation, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, QE1-996.5, Global and Planetary Change, Energy, Emission intensity, Geography, Ecology, Geology, Forestry, [SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces, environment, World Wide Web, Chemistry, climate change, Emissions, Physical Sciences, environment, Methane, Sustainable Diets and Environmental Impact, Livestock, Coalbed Methane Recovery and Utilization Practices, Ocean Engineering, Methane Adsorption, Greenhouse gas, 333, Environmental science, mitigation, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, Key (lock), Biology, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.OCEAN] Sciences of the Universe [physics]/Ocean, Atmosphere, QC801-809, Renewable Energy, Sustainability and the Environment, Microbial Methane Generation, Computer science, livestock, FOS: Biological sciences, Electrical engineering, Global Methane Emissions and Impacts, Environmental Science, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	43
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%