Impacts of urbanization on soil organic carbon stocks in the northeast coastal agricultural areas of China
Wang, Shuai1,3,4; Adhikari, Kabindra2; Zhuang, Qianlai1; Gu, Hanlong3; Jin, Xinxin3
刊名SCIENCE OF THE TOTAL ENVIRONMENT
2020-06-15
卷号721页码:11
关键词Urbanization Soil organic carbon stocks Spatial variability Auxiliary variables Random forest
ISSN号0048-9697
DOI10.1016/j.scitotenv.2020.137814
通讯作者Gu, Hanlong(allenguhan@126.com) ; Jin, Xinxin(jinxinxin0218@163.com)
英文摘要Dynamic changes in soil organic carbon pools have significant impacts on regional and global carbon balance. Due to rapid development in urbanized areas, the land use changes dramatically, impacting soil organic carbon (SOC) stocks in topsoil. This study aimed to document the impacts of urbanization on SOC stocks in a rapidly urbanized area from northeastern China. A total of 12 auxiliary variables were as SOC predictors including elevation, slope aspect, slope gradient, topographic wetness index, Landsat TM band3, Landsat TM band4, Landsat TM5, and normalized difference vegetation index. Urban-specific variables including population (POP), gross domestic product (GDP), distance to the socio-economic center, and distance to the roads are also considered. A set of 523 (in 1990) and 847 (in 2015) top soil samples with SOC measurement were collected. Two random forest (RF) models, one with all auxiliary variables except urban-specific variable (MA) and the other with all auxiliary variables (MB) were used to map the spatial distribution of SOC stocks in the two periods. Ten-fold cross-validation was conducted to evaluate the performance of RF models. We find that the full auxiliary variables model had a better performance for the both periods. POP and GDP were key auxiliary variables affecting spatial variability of SOC stocks in 2015. Over a 25-year period, SOC stocks decreased from 2.77 +/- 1.09 kg m(-2) to 2.16 +/- 0.93 kg m(-2), resulting in 3.78 Tg SOC loss in this region. Rapid urbanization led to drastic land- use change, which was the main reason for the decrease of SOC stocks. Additionally, urban-specific variables should be used as the main auxiliary variables when predicting SOC stocks in the areas that experience rapid urbanization. We believe that accurate prediction and mapping of SOC stocks will help manage land use and facilitate soil quality assessment so as to increase soil carbon sequestration in the region. (C) 2020 Elsevier B.V. All rights reserved.
资助项目China Postdoctoral Science Foundation[2019M660782] ; Young Scientific and Technological Talents Project of Liaoning Province[LSNQN201910] ; Young Scientific and Technological Talents Project of Liaoning Province[LSNQN201914]
WOS关键词LAND-USE CHANGE ; SPATIAL-DISTRIBUTION ; RANDOM FORESTS ; NITROGEN ; REGRESSION ; VARIABILITY
WOS研究方向Environmental Sciences & Ecology
语种英语
出版者ELSEVIER
WOS记录号WOS:000535467800017
资助机构China Postdoctoral Science Foundation ; Young Scientific and Technological Talents Project of Liaoning Province
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/159594]  
专题中国科学院地理科学与资源研究所
通讯作者Gu, Hanlong; Jin, Xinxin
作者单位1.Purdue Univ, Dept Earth Atmospher & Planetary Sci, W Lafayette, IN 47907 USA
2.USDA ARS, Grassland Soil & Water Res Lab, Temple, TX 76502 USA
3.Shenyang Agr Univ, Coll Land & Environm, 120 Dongling Rd, Shenyang 110866, Liaoning, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Wang, Shuai,Adhikari, Kabindra,Zhuang, Qianlai,et al. Impacts of urbanization on soil organic carbon stocks in the northeast coastal agricultural areas of China[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2020,721:11.
APA Wang, Shuai,Adhikari, Kabindra,Zhuang, Qianlai,Gu, Hanlong,&Jin, Xinxin.(2020).Impacts of urbanization on soil organic carbon stocks in the northeast coastal agricultural areas of China.SCIENCE OF THE TOTAL ENVIRONMENT,721,11.
MLA Wang, Shuai,et al."Impacts of urbanization on soil organic carbon stocks in the northeast coastal agricultural areas of China".SCIENCE OF THE TOTAL ENVIRONMENT 721(2020):11.
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