Drivers and reduction potential of carbon emissions from cultivated land use

IF 5.4 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Jiayi Ma , Xinhui Feng , Sensen Wang , Fei Liu , Yan Li
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Abstract

Cultivated land is both a carbon source and sink, and can both directly and indirectly affect the carbon cycle. As a major agricultural country, low-carbon and sustainable utilization of cultivated land in China is crucial to achieving its carbon neutrality goals. Using data from 31 provinces in China, the carbon emissions and intensity of cultivated land use between 2000 and 2020 were calculated. The driving factors and impact mechanisms of carbon intensity were analyzed. Finally, a carbon emission reduction potential index was constructed to explore the carbon emission reduction potential of cultivated land use under different preference scenarios. Total carbon emissions from cultivated land use in China increased from 201.848 million tons in 2000 to 227.4715 million tons in 2020 (an increase of 12.7%). The carbon emission intensity reached a minimum in 2003 (0.79 tons/ha) and a maximum in 2017 (1.01 tons/ha). The proportion of paddy fields, multiple cropping indices, proportion of effective irrigated areas, degree of agricultural chemicalization, and total power of agricultural machinery were the main drivers of carbon emission intensity of cultivated land use. The shadow prices of carbon emissions from cultivated land use were relatively high in Guizhou, Qinghai, and Beijing, amounting to 35.13, 33.54, and 23.97 million yuan per ton, respectively, whereas those in southeastern regions, such as Jiangsu and Shanghai, were low. In addition, under all three preference scenarios (equal equity and efficiency, equity first, and efficiency first), Jiangsu had high emission reduction potentials (up to 0.880, 0.861, and 0.900, respectively), allowing it to share more responsibility for reducing emissions. In contrast, Qinghai had the lowest emission reduction potentials in the study area, reaching 0.064, 0.078, and 0.051 for the equal equity and efficiency, equity first, and efficiency first scenarios, respectively. The results of this study suggest that the agricultural system has the potential to help China realize its carbon peak and carbon neutrality goals through the implementation of new technologies, policies, and management tools. As such, our results provide a reference for future policy development and low-carbon land use management that is better tailored to regional variability.
耕地使用碳排放的驱动因素和减排潜力
耕地既是碳源,也是碳汇,既能直接影响碳循环,也能间接影响碳循环。作为农业大国,中国耕地的低碳和可持续利用对实现碳中和目标至关重要。利用中国 31 个省份的数据,计算了 2000 年至 2020 年耕地利用的碳排放量和碳强度。分析了碳强度的驱动因素和影响机制。最后,构建了碳减排潜力指数,以探讨不同偏好情景下耕地利用的碳减排潜力。中国耕地利用碳排放总量从 2000 年的 20184.8 万吨增加到 2020 年的 22747.15 万吨(增长 12.7%)。碳排放强度在 2003 年达到最低值(0.79 吨/公顷),在 2017 年达到最高值(1.01 吨/公顷)。水田比例、复种指数、有效灌溉面积比例、农业化学化程度和农业机械总动力是耕地利用碳排放强度的主要驱动因素。耕地利用碳排放的影子价格在贵州、青海和北京相对较高,分别为每吨 3513 万元、3354 万元和 2397 万元,而在江苏和上海等东南部地区则较低。此外,在三种偏好情景下(公平与效率并重、公平优先、效率优先),江苏的减排潜力都很高(分别达到 0.880、0.861 和 0.900),可以分担更多的减排责任。相比之下,青海的减排潜力在研究区域内最低,在公平与效率平等、公平优先和效率优先情景下分别为 0.064、0.078 和 0.051。研究结果表明,通过实施新技术、新政策和新管理手段,农业系统有潜力帮助中国实现碳峰值和碳中和目标。因此,我们的研究结果为未来政策制定和低碳土地利用管理提供了参考,从而更好地适应区域变化。
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
Catena
Catena 环境科学-地球科学综合
CiteScore
10.50
自引率
9.70%
发文量
816
审稿时长
54 days
期刊介绍: Catena publishes papers describing original field and laboratory investigations and reviews on geoecology and landscape evolution with emphasis on interdisciplinary aspects of soil science, hydrology and geomorphology. It aims to disseminate new knowledge and foster better understanding of the physical environment, of evolutionary sequences that have resulted in past and current landscapes, and of the natural processes that are likely to determine the fate of our terrestrial environment. Papers within any one of the above topics are welcome provided they are of sufficiently wide interest and relevance.
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