Emissions Footprints of Agriculture Around the World 1970-2020: Decreasing Land Conversion, Regional Exceptions and Increasing Management Intensity.

IF 12 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION
C A Adlan,S V Hanssen,H Luchtenbelt,C Hendriks,J C Doelman,E Stehfest,B Wicke
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引用次数: 0

Abstract

Land-use change (LUC) and agricultural management associated with crop production are responsible for 13% of global anthropogenic greenhouse gas emissions. However, the quantification of such land use emissions for specific crops remains incomplete due to the exclusion of important emission sources and limited geographic or crop coverage in previous studies. In this paper, we derive global spatially explicit land use emissions from LUC and agricultural management over the period of 1970 to 2020 and attribute them to 16 agricultural crop types and pastureland for livestock production, using the IMAGE-Land and LPJmL 4.0 models. Our results show 210 GtCO2-eq were emitted over these 50 years; 69% of which were from LUC and 31% from agricultural management. To analyze trade-offs between emissions and productivity, we generate emissions footprints (tCO2-eq/ha) and emission intensities (tCO2-eq/ton) per crop. Here, we define three clusters of crop-region pairings that help prioritize measures for future reduction in land use emissions from agricultural crops: (i) high-footprint, efficient land use (e.g., palm oil in Indonesia) where limiting conversion of high-carbon stock area has first priority, (ii) low-emission, inefficient land use (e.g., tropical cereals in Western Africa) where the focus should be on improved agricultural management to increase yields and thereby also minimize the need for land expansion, and (iii) moderate-footprint and moderately efficient land use (e.g., soybeans in Brazil and rice in Southeast Asia) where a combination of agricultural management improvements and restricting land conversion can help most.
1970-2020年全球农业排放足迹:减少土地转用、区域例外和增加管理强度
与作物生产相关的土地利用变化和农业管理占全球人为温室气体排放的13%。然而,由于以往的研究排除了重要的排放源和有限的地理或作物覆盖,对特定作物的这种土地利用排放的量化仍然不完整。本文利用IMAGE-Land和LPJmL 4.0模型,推导了1970 - 2020年全球土地利用和农业管理的空间明确的土地利用排放,并将其归因于16种农业作物类型和畜牧生产牧场。结果表明,这50年的co2排放量为210 gtco2当量;其中69%来自LUC, 31%来自农业管理。为了分析排放和生产力之间的权衡,我们生成了每一种作物的排放足迹(tco2当量/公顷)和排放强度(tco2当量/吨)。在这里,我们定义了三个作物区域配对集群,这些集群有助于优先考虑未来减少农作物土地利用排放的措施:(i)高足迹、高效的土地利用(例如印度尼西亚的棕榈油),限制高碳储量面积的转化是第一优先事项;(ii)低排放、低效的土地利用(例如西非的热带谷物),重点应放在改善农业管理以提高产量,从而也最大限度地减少对土地扩张的需求;以及(iii)中等足迹和适度高效的土地利用(例如,巴西种植大豆,东南亚种植水稻),在这些地区,改善农业管理和限制土地转用相结合可以发挥最大作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Global Change Biology
Global Change Biology 环境科学-环境科学
CiteScore
21.50
自引率
5.20%
发文量
497
审稿时长
3.3 months
期刊介绍: Global Change Biology is an environmental change journal committed to shaping the future and addressing the world's most pressing challenges, including sustainability, climate change, environmental protection, food and water safety, and global health. Dedicated to fostering a profound understanding of the impacts of global change on biological systems and offering innovative solutions, the journal publishes a diverse range of content, including primary research articles, technical advances, research reviews, reports, opinions, perspectives, commentaries, and letters. Starting with the 2024 volume, Global Change Biology will transition to an online-only format, enhancing accessibility and contributing to the evolution of scholarly communication.
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