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130 年来全球牲畜甲烷排放清单:趋势、模式和驱动因素。

A 130-year global inventory of methane emissions from livestock: Trends, patterns, and drivers.

机构信息

State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.

International Center for Climate and Global Change Research, College of Forestry, Wildlife and Environment, Auburn University, Auburn, Alabama, USA.

出版信息

Glob Chang Biol. 2022 Sep;28(17):5142-5158. doi: 10.1111/gcb.16280. Epub 2022 Jun 20.

Abstract

Livestock contributes approximately one-third of global anthropogenic methane (CH ) emissions. Quantifying the spatial and temporal variations of these emissions is crucial for climate change mitigation. Although country-level information is reported regularly through national inventories and global databases, spatially explicit quantification of century-long dynamics of CH emissions from livestock has been poorly investigated. Using the Tier 2 method adopted from the 2019 Refinement to 2006 IPCC guidelines, we estimated CH emissions from global livestock at a spatial resolution of 0.083° (~9 km at the equator) during the period 1890-2019. We find that global CH emissions from livestock increased from 31.8 [26.5-37.1] (mean [minimum-maximum of 95% confidence interval) Tg CH yr in 1890 to 131.7 [109.6-153.7] Tg CH yr in 2019, a fourfold increase in the past 130 years. The growth in global CH emissions mostly occurred after 1950 and was mainly attributed to the cattle sector. Our estimate shows faster growth in livestock CH emissions as compared to the previous Tier 1 estimates and is ~20% higher than the estimate from FAOSTAT for the year 2019. Regionally, South Asia, Brazil, North Africa, China, the United States, Western Europe, and Equatorial Africa shared the majority of the global emissions in the 2010s. South Asia, tropical Africa, and Brazil have dominated the growth in global CH emissions from livestock in the recent three decades. Changes in livestock CH emissions were primarily associated with changes in population and national income and were also affected by the policy, diet shifts, livestock productivity improvement, and international trade. The new geospatial information on the magnitude and trends of livestock CH emissions identifies emission hotspots and spatial-temporal patterns, which will help to guide meaningful CH mitigation practices in the livestock sector at both local and global scales.

摘要

畜牧业约占人为甲烷(CH )排放总量的三分之一。量化这些排放的时空变化对于气候变化减缓至关重要。尽管通过国家清单和全球数据库定期报告国家一级的信息,但对畜牧业 CH 排放的长达一个世纪的动态的空间明确量化研究甚少。本研究使用 2019 年对 2006 年气专委指南的修订版中采用的 Tier 2 方法,在 1890-2019 年期间以 0.083°(赤道处约 9km)的空间分辨率估算了全球畜牧业的 CH 排放量。结果表明,全球畜牧业 CH 排放量从 1890 年的 31.8 [26.5-37.1](平均值[95%置信区间的最小值-最大值)Tg CH yr 增加到 2019 年的 131.7 [109.6-153.7] Tg CH yr,在过去 130 年中增长了四倍。全球 CH 排放量的增长主要发生在 1950 年之后,主要归因于牛部门。与之前的 Tier 1 估计相比,本研究的估计显示出畜牧业 CH 排放量的增长更快,并且比 2019 年 FAOSTAT 的估计值高出约 20%。在区域上,南亚、巴西、北非、中国、美国、西欧和赤道非洲在 2010 年代共同占全球排放量的大部分。在最近三十年中,南亚、热带非洲和巴西主导了全球畜牧业 CH 排放量的增长。畜牧业 CH 排放量的变化主要与人口和国民收入的变化有关,也受到政策、饮食变化、牲畜生产力提高和国际贸易的影响。关于畜牧业 CH 排放量的幅度和趋势的新地理空间信息确定了排放热点和时空模式,这将有助于指导在地方和全球范围内对畜牧业进行有意义的 CH 减排实践。

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