文献类型： 外文期刊

作者： Ma, Wanzhu ¹ ; Zhan, Yu ³ ; Chen, Songchao ⁵ ; Ren, Zhouqiao ¹ ; Chen, Xiaojia ¹ ; Qin, Fangjin ⁶ ; Lu, Ruohui ⁷ ; Lv, Xi ¹ ;

作者机构： 1.Zhejiang Acad Agr Sci, Inst Digital Agr, Hangzhou 310021, Zhejiang, Peoples R China

2.Minist Agr & Rural Affairs, Key Lab Informat Traceabil Agr Prod, Hangzhou 310021, Zhejiang, Peoples R China

3.Sichuan Univ, Dept Environm Sci & Engn, Chengdu 610065, Sichuan, Peoples R China

4.Sichuan Univ Yibin Pk, Yibin Inst Ind Technol, Yibin 644000, Sichuan, Peoples R China

5.Natl Res Inst Agr Food & Environm INRAE, Unite InfoSol, F-45075 Orleans, France

6.Stn Agr Technol Extens Ningbo City, Ningbo 315012, Zhejiang, Peoples R China

7.Adm Stn Cultivated Land Qual & Fertilizer Zhejian, Hangzhou 310029, Zhejiang, Peoples R China

关键词： Mixture duster models; SOC storage potential; Carbon landscape systems; Soil management practices; Random forests

期刊名称：SOIL & TILLAGE RESEARCH （ 影响因子：5.374； 五年影响因子：6.368 ）

ISSN： 0167-1987

年卷期： 2021 年 211 卷

页码：

收录情况： SCI

摘要： Soil organic carbon (SOC) is receiving increasing attention due to its large storage potential in global carbon cycles and its great importance to soil fertility, agricultural production, and ecosystem services. The increases of SOC storage and reliable estimation of its potential are essential for evaluating the soil sustainability and climate change adaptation under intensive cultivation. In this work, a data-driven approach combining mixture clustering and Random Forest models was proposed to estimate the SOC storage potential of cropland topsoil and its controlling factors in East China. The carbon landscapes systems (CLSs) were delineated using a mixture clustering model by combining the climatic condition, soil properties, cropping systems, and soil management practices. The SOC storage potentials with 95 % confidence intervals at 250 m spatial resolution were estimated as the difference between the current SOC stock and empirically maximum SOC stock at basic (75 %), intermediate (85 %), and ambitious (95 %) expectation objectives for each CLS. The SOC storage potential increased with the increasing of expectation objective settings, with the averaged levels of 13.1, 20.8, and 35.5 t C ha(-1) at 75 %, 85 %, and 95 % percentile objectives, respectively. The variable importance from Random Forest indicated that the cropping systems and soil management practices were the unignorable factors controlling the SOC storage potential beyond the climatic conditions and soil properties. Moreover, the shifts of human-induced controlling factors, e.g., cropping systems, also indicated their capability of SOC sequestration potential for partly achieving the "4p1000" initiative (annual growth rate of 0.4 % carbon stocks in the first 30 cm of topsoil). The currently optimal soil management practices for achieving the SOC sequestration potential was the combination of rice-based cropping systems, straw return, and organic fertilizer applied. The data-driven approach coupling with CLSs improved our understanding of the controlling factors on SOC storage potential at regional level with homogenous conditions, enabling evidence-based decision making in promoting carbon sequestration by adopting locally feasible soil management practices.