太阳成8722(中国)有限公司-GREEN NO.1

标题: Estimating soil organic carbon density in plains using landscape metric-based regression Kriging model

作者: Wu, ZH (Wu, Zihao); Wang, BZ (Wang, Bozhi); Huang, JL (Huang, Junlong); An, ZH (An, Zihao); Jiang, P (Jiang, Ping); Chen, YY (Chen, Yiyun); Liu, YF (Liu, Yanfang)

来源出版物: SOIL & TILLAGE RESEARCH  卷: 195  文献号: 104381  DOI: 10.1016/j.still.2019.104381  出版年: DEC 2019  

摘要: The spatial distribution of soil organic carbon density (SOCD) is crucial for understanding land use impact on carbon budget. The spatial estimation and accurate mapping of SOCD in plains remain challenging, partly due to the relatively invariant topography and the lack of consideration of landscape patterns. Here, we propose a novel landscape metric-based regression Kriging (LMRK) for the spatial estimation of SOCD in plains. Using 242 topsoil samples collected in the Jianghan Plain, China, we (i) investigate the scale-dependent relationship between SOCD and 24 landscape metrics and (ii) develop LMRK models with multi-scale buffers (100-1000 m) for SOCD estimation and compare their performance with ordinary Kriging (OK) and regression Kriging (RK) that integrates land use types. Results showed that LMRK outperformed other models. The relationships between SOCD and landscape metrics were found to be scale-dependent, and the buffer of 300 m exhibited the optimal scale in our case. The LMRK also revealed that a highly connected and water-sufficient landscape was conducive to the accumulation of soil organic carbon in farmlands. These results indicated that landscape metrics serve as good predictors, and the proposed LMRK method is effective for SOCD mapping in plains. Our findings highlight the scale-dependent relationship between landscape metrics and SOCD and provide a new perspective for soil mapping in plains.

入藏号: WOS:000494053700016

语言: English

文献类型: Article

作者关键词: Soil organic carbon density; Spatial estimation; Landscape pattern; Landscape metric-based regression Kriging; Scale effects

地址: [Wu, Zihao; Wang, Bozhi; Huang, Junlong; An, Zihao; Jiang, Ping; Chen, Yiyun; Liu, Yanfang] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

[Chen, Yiyun; Liu, Yanfang] Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan 430079, Hubei, Peoples R China.

[Chen, Yiyun; Liu, Yanfang] Natl Adm Surveying Mapping & Geoinformat, Key Lab Digital Mapping & Land Informat Applicat, Wuhan 430079, Hubei, Peoples R China.

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

[Chen, Yiyun] Chinese Acad Sci, State Key Lab Soil & Sustainable Agr, Nanjing 210008, Jiangsu, Peoples R China.

[Huang, Junlong] Univ Toronto, Dept Ecol & Evolutionary Biol, Toronto, ON M5S 3B2, Canada.

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

电子邮件地址: chenyy@whu.edu.cn; yfliu610@163.com

影响因子：4.675