globalchange  > 过去全球变化的重建
DOI: 10.1016/j.scitotenv.2019.02.249
WOS记录号: WOS:000463180700035
论文题名:
National estimation of soil organic carbon storage potential for arable soils: A data-driven approach coupled with carbon-landscape zones
作者: Chen, Songchao1,2; Arrouays, Dominique1; Angers, Denis A.3; Chenu, Claire4; Barre, Pierre5; Martin, Manuel P.1; Saby, Nicolas P. A.1; Walter, Christian2
通讯作者: Chen, Songchao
刊名: SCIENCE OF THE TOTAL ENVIRONMENT
ISSN: 0048-9697
EISSN: 1879-1026
出版年: 2019
卷: 666, 页码:355-367
语种: 英语
英文关键词: Soil organic carbon ; Storage potential ; Data-driven approach ; Carbon-landscape zones ; Gaussian mixture models ; Soil management practices
WOS关键词: HUMIC LOAMY SOILS ; SEQUESTRATION ; FOREST ; GLOBALSOILMAP ; REGION ; STOCKS ; DEPTH ; MAP
WOS学科分类: Environmental Sciences
WOS研究方向: Environmental Sciences & Ecology
英文摘要:

Soil organic carbon (SOC) is important for its contributions to agricultural production, food security, and ecosystem services Increasing SOC stocks can contribute to mitigate climate change by transferring atmospheric CO2 into long-lived soil carbon pools. The launch of the 4 per 1000 initiative has resulted in an increased interest in developing methods to quantity the additional SOC that can be stored in soil under different management options. In this work, we have made a first attempt to estimate SOC storage potential of arable soils using a data driven approach based on the French National Soil Monitoring Network. The data-driven approach was used to determine the maximum SOC stocks of arable soils for France. We first defined different carbon-landscape zones (CLZs) using clustering analysis. We then computed estimates of the highest possible values using percentile of 0.8, 0.85, 0.9 and 0.95 of the measured SOC stocks within these Clis. The SOC storage potential was calculated as the difference between the maximum SOC stocks and current SOC stocks for topsoil and subsoil. The percentile used to determine highest possible SOC had a large influence on the estimates of French national SOC storage potential. When the percentile increased from 0.8 to 0.95, the national SOC storage potential increased by two to three-fold, from 336 to 1020 Mt for topsoil and from 165 to 433 Mt for subsoil, suggesting a high sensitivity of this approach to the selected percentile. Nevertheless, we argue that this approach can offer advantages from an operational point of view, as it enables to set targets of SOC storage taking into account both policy makers' and farmers' considerations about their feasibility. Robustness of the estimates should be further assessed using complementary approaches such as mechanistic modelling. Crown Copyright (C) 2019 Published by Elsevier B.V. All rights reserved.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/138540
Appears in Collections:过去全球变化的重建

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作者单位: 1.INRA, Unite InfoSol, F-45075 Orleans, France
2.INRA, UMR SAS, Agrocampus West, F-35042 Rennes, France
3.Agr & Agrifood Canada, Quebec Res & Dev Ctr, Quebec City, PQ G1V 2J3, Canada
4.Univ Paris Saclay, UMR Ecosys, INRA, AgroParisTech, Campus AgroParisTech, F-78850 Thiverval Grignon, France
5.PSL Res Univ, Lab Geol ENS, UMR8538, CNRS, F-75231 Paris, France

Recommended Citation:
Chen, Songchao,Arrouays, Dominique,Angers, Denis A.,et al. National estimation of soil organic carbon storage potential for arable soils: A data-driven approach coupled with carbon-landscape zones[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2019-01-01,666:355-367
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