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Spatial variation and distribution of soil organic carbon in an urban ecosystem from high-density sampling

文献类型：期刊论文

作者Zhang, Pingping1,2; Wang, Yunqiang1,2,4; Sun, Hui1,2,3; Qi, Lijun1,2; Liu, Hao1,2; Wang, Zhe1,2,3
刊名CATENA
出版日期2021-09-01
卷号204页码:11
关键词Urban soil Urban-rural gradient Soil organic carbon Spatial variability Interpolation method Function zone
ISSN号0341-8162
DOI10.1016/j.catena.2021.105364
通讯作者Wang, Yunqiang(wangyq@ieecas.cn)
英文摘要With acceleration of urban expansion, urban soils are increasingly becoming critical in the global carbon cycle. However, spatial variations and distributions of soil organic carbon (SOC) across urban centers are rarely investigated. Here, 1018 soil samples were collected from the upper 20 cm soil layer in Xi'an - a typical historical city under rapid urbanization in China. The aims were to: i) determine current levels and variations in SOC; ii) identify main driving factors of SOC density (SOCD); and iii) compare different interpolation methods in predicting spatial distributions of SOCD in Xi'an City study area. Results showed that the range of SOC concentration (SOCC) was 1.57-38.58 g kg(-1) (mean of 13.59 g kg(-1)) and the range of SOCD was 0.47-9.48 kg m(-2) (mean of 3.59 kg m 2). Analysis of coefficient of variation showed that there were moderate variations in SOCC (54.0%) and SOCD (49.4%) in the study area. Combined correlation analysis, principal component analysis and minimum dataset compilation showed that sand content, distance to civic center, land use type and vegetation type were closely correlated with spatial variations in SOCD. Geostatistical analysis showed that isotropic exponential model with a range of 1776 m was the best fit for SOCD semi-variogram. Spatial distribution of SOCD was further predicted using four approaches - ordinary kriging (OK), inverse distance weighting (IDW), multiple linear regression (MLG) and regression kriging (RK). The spatial prediction accuracy was ranked in order of RK > MLR > OK > IDW. However, there was relatively low interpolation accuracy for the four approaches. This was attributed to the high spatial variations in urban milieu, impacted by intense anthropogenic activities. The findings in this study added to current knowledge on global carbon cycle as influenced by urban soils, which is a critical guide to land management in urban areas.
WOS关键词LAND-USE ; LOESS PLATEAU ; STOCKS ; STORAGE ; VARIABILITY ; SURFACE ; AREAS ; CITY ; INTERPOLATION ; CONSTRUCTION
资助项目Shaanxi Province Natural Science Foundation[S2020-JC-ZD-0209] ; Shaanxi Province Natural Science Foundation[S2020-JC-YB-1958] ; Youth Innovation Promotion Association of CAS ; West Light Foundation of CAS
WOS研究方向Geology ; Agriculture ; Water Resources
语种英语
WOS记录号WOS:000657369600006
出版者ELSEVIER
资助机构Shaanxi Province Natural Science Foundation ; Youth Innovation Promotion Association of CAS ; West Light Foundation of CAS
源URL[http://ir.ieecas.cn/handle/361006/16729]  
专题地球环境研究所_生态环境研究室
第四纪科学与全球变化卓越创新中心
通讯作者Wang, Yunqiang
作者单位1.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710061, Shaanxi, Peoples R China
2.CAS Ctr Excellence Quaternary Sci & Global Change, Xian 710061, Peoples R China
3.Xian Inst Innovat Earth Environm Res, Xian 710061, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Pingping,Wang, Yunqiang,Sun, Hui,et al. Spatial variation and distribution of soil organic carbon in an urban ecosystem from high-density sampling[J]. CATENA,2021,204:11.
APA Zhang, Pingping,Wang, Yunqiang,Sun, Hui,Qi, Lijun,Liu, Hao,&Wang, Zhe.(2021).Spatial variation and distribution of soil organic carbon in an urban ecosystem from high-density sampling.CATENA,204,11.
MLA Zhang, Pingping,et al."Spatial variation and distribution of soil organic carbon in an urban ecosystem from high-density sampling".CATENA 204(2021):11.

入库方式： OAI收割

来源：地球环境研究所

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