Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.gecco.2019.e00849 |
Applicability of GIS-based spatial interpolation and simulation for estimating the soil organic carbon storage in karst regions | |
Zhang, Zhenming1,2; Zhou, Yunchao1; Huang, Xianfei1,3 | |
通讯作者 | Zhou, Yunchao |
来源期刊 | GLOBAL ECOLOGY AND CONSERVATION
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ISSN | 2351-9894 |
出版年 | 2020 |
卷号 | 21 |
英文摘要 | The applicability of the ordinary kriging method for estimating the soil organic carbon (SOC) stored in karst regions was investigated. A total of 23,536 soil samples were analysed from 2755 soil profiles collected using a grid-based sampling method in a typical small karst basin of western Guizhou in Southwest China. Corrections for the gravel content and rock exposure rate were applied to the GIS-based spatial interpolation and simulation and were compared with the same approach with the addition of soil profiles. With the addition of the soil profile data, the SOC stored in the karst catchment was accurately calculated as follows: 1.48 x 10(8) kg at a depth of 10 cm, 2.65 x 10(8) kg at 20 cm, 3.43 x 10(8) kg at 30 cm, and 5.39 x 10(8) kg at 100 cm. With the interpolation that was corrected for the rock exposure rate and soil depth, the resulting carbon storage estimation was 1.14-1.19 times higher than the most accurate estimate (that with the soil profiles), with an error rate of 114%-119%. Since the conventional geostatistical method failed to accurately fit the data, including the spatial distribution, micro-geomorphic features, rock exposure rate, and depth of the soil patches in the highly sloped exposed bedrock, must be used to correct the estimation of the SOC storage and organic carbon density in karst areas. Published by Elsevier B.V. |
英文关键词 | Correction Karst Organic carbon storage GIS spatial interpolation simulation Applicability |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
开放获取类型 | gold |
收录类别 | SCI-E |
WOS记录号 | WOS:000517814100064 |
WOS关键词 | ROCKY DESERTIFICATION ; LOESS PLATEAU ; LAND-USE ; SEQUESTRATION ; REGRESSION ; CATCHMENT ; IMPACTS ; DENSITY ; AREA |
WOS类目 | Biodiversity Conservation ; Ecology |
WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/314645 |
作者单位 | 1.Guizhou Univ, Inst Forest Resources & Environm Guizhou, Key Lab Forest Cultivat Plateau Mt Area, Coll Forestry, Guiyang 550025, Peoples R China; 2.Guizhou Acad Sci, Inst Biol Res Guizhou, Guiyang 550025, Peoples R China; 3.Guizhou Normal Univ, Guizhou Prov Key Lab Environm, Guiyang 550001, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Zhenming,Zhou, Yunchao,Huang, Xianfei. Applicability of GIS-based spatial interpolation and simulation for estimating the soil organic carbon storage in karst regions[J],2020,21. |
APA | Zhang, Zhenming,Zhou, Yunchao,&Huang, Xianfei.(2020).Applicability of GIS-based spatial interpolation and simulation for estimating the soil organic carbon storage in karst regions.GLOBAL ECOLOGY AND CONSERVATION,21. |
MLA | Zhang, Zhenming,et al."Applicability of GIS-based spatial interpolation and simulation for estimating the soil organic carbon storage in karst regions".GLOBAL ECOLOGY AND CONSERVATION 21(2020). |
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