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刘耀林、博士生吴子豪的论文在SCIENCE OF THE TOTAL ENVIRONMENT 刊出
发布时间:2021-01-08 09:33:45     发布者:易真     浏览次数:

标题: Mapping farmland soil organic carbon density in plains with combined cropping system extracted from NDVI time-series data

作者: Wu, ZH (Wu, Zihao); Liu, YL (Liu, Yaolin); Han, YR (Han, Yiran); Zhou, JA (Zhou, Jianai); Liu, JM (Liu, Jiamin); Wu, JA (Wu, Jingan)

来源出版物: SCIENCE OF THE TOTAL ENVIRONMENT : 754 文献号: 142120 DOI: 10.1016/j.scitotenv.2020.142120 出版年: FEB 1 2021

摘要: The accurate mapping of farmland soil organic carbon density (SOCD) is crucial for evaluating, carbon (C) sequestration potential and forecasting climate change. Natural factors such as soil types and topographical factors are important variables in mapping soil properties. Moreover, cropping systems are important components of agricultural activities and are significantly correlated with soil properties. Therefore, integrating cropping systems and natural factors can improve the accuracy of mapping farmland SOCD. This study aimed to obtain and incorporate cropping system information in mapping SOCD in plains by combining normalized difference vegetation index (NDVI) time-series data and the regression Kriging (RK) method. We collected 230 topsoil samples in Jianghan Plain, China and (i) obtained the spatial patterns of crops in summer and winter using NDVI time-series data derived from HJ-1A/1B satellite images, (ii) investigated the differences in SOCD under different cropping systems, and (iii) evaluated the performance of the RK_CS model in integrating cropping systems and natural factors into mapping SOCD. ANOVA results showed significant differences in SOCD under different cropping systems. Specifically, the SOCD of single rice was higher than that of rice-wheat rotation and dry crops. Meanwhile, the regression results showed that SOCD was affected by natural factors and cropping system, with the latter playing a major role. The integration of soil types, slope and cropping systems explained approximately 26.3% of the variation in SOCD. Model validation results confirmed the effectiveness of the RK_CS model. The findings reveal single cropping rice sequences more C than other cropping systems. Cropping system is an important environmental variable in improving mapping farmland SOCD in plains. (C) 2020 Published by Elsevier B.V.

入藏号: WOS:000593899600032

语言: English

文献类型: Article

作者关键词: Digital soil mapping; Soil organic carbon density; Cropping system; NDVI time-series data

地址: [Wu, Zihao; Liu, Yaolin; Han, Yiran; Zhou, Jianai; Liu, Jiamin; Wu, Jingan] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

[Liu, Yaolin] Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Hubei, Peoples R China.

[Liu, Yaolin] Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan 430079, Peoples R China.

通讯作者地址: Liu, YL (通讯作者)Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

电子邮件地址: yaolin610@163.com

影响因子:6.551


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