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中国农田土壤有机碳变化:基于DNDC模型的新估算

Soil organic carbon changes in China's croplands: A newly estimation based on DNDC model.

作者信息

Ding Wuhan, Chang Naijie, Zhang Guilong, Kang Jiahao, Yi Xiaopei, Zhang Jing, Zhang Jianfeng, Wang Ligang, Li Hu

机构信息

Institute of Agricultural Resources and Environment, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China; State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China.

State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China.

出版信息

Sci Total Environ. 2023 Dec 20;905:167107. doi: 10.1016/j.scitotenv.2023.167107. Epub 2023 Sep 17.

Abstract

Soil Organic Carbon (SOC) in cropland represents a significant facet of the terrestrial ecosystem's carbon reservoirs, playing a pivotal role in global climate change mitigation efforts. Within the specific context of China, cropland SOC not only extends its implications beyond environmental impact but also serves as a critical factor in ensuring the stability and security of the nation's food supply. However, there is an ongoing argument about the changes in SOC and their spatial and temporal distribution patterns within China's croplands. In this study, we constructed a new county-level DNDC database for 2020, building upon 2003 research that quantified SOC stock in China's cropland using the DNDC model. Our aim was to assess the SOC storage and temporal changes of China's cropland in 2020 using same methodology to enhance estimation accuracy. The simulation results of the validated DNDC model revealed that the average SOC storage of China's croplands (0-30 cm) in 2020 was 6.02 Pg C, with the Northeast region contributing 23 % (1.37 Pg C). The SOC density in China varied from 18.55 to 152.57 t C ha, averaging at 49.65 t C ha. In 2020, China's cropland transitioned from a net loss of SOC in 2003 to a carbon sink, with cropland SOC density and SOC storage increased by 18.2 % and 21.6 % respectively. Notably, despite experiencing a loss of SOC compared to 2003, the Northeast region had the highest average SOC density in China. This study highlights that despite the increase in SOC density and storage in China's croplands over the last 17 years, there remains substantial potential for carbon sequestration given the current spatial distribution of SOC density's significant heterogeneity within China. The findings of this study offer data support for China's strategy to achieve food security and carbon neutrality.

摘要

农田土壤有机碳(SOC)是陆地生态系统碳库的一个重要方面,在全球气候变化缓解努力中发挥着关键作用。在中国的特定背景下,农田SOC不仅对环境影响具有广泛意义,也是确保国家粮食供应稳定和安全的关键因素。然而,关于中国农田SOC的变化及其时空分布模式,目前仍存在争议。在本研究中,我们在2003年利用DNDC模型对中国农田SOC储量进行量化研究的基础上,构建了一个新的2020年县级DNDC数据库。我们的目标是使用相同方法评估2020年中国农田的SOC储量和时间变化,以提高估计精度。经过验证的DNDC模型模拟结果显示,2020年中国农田(0 - 30厘米)的平均SOC储量为6.02 Pg C,东北地区贡献了23%(1.37 Pg C)。中国的SOC密度在18.55至152.57吨C/公顷之间变化,平均为49.65吨C/公顷。2020年,中国农田从2003年的SOC净损失转变为碳汇,农田SOC密度和SOC储量分别增加了18.2%和21.6%。值得注意的是,尽管与2003年相比SOC有所损失,但东北地区的平均SOC密度在中国最高。本研究强调,尽管过去17年中国农田的SOC密度和储量有所增加,但鉴于目前中国SOC密度空间分布存在显著异质性,碳封存仍有很大潜力。本研究结果为中国实现粮食安全和碳中和战略提供了数据支持。

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