干旱区生态环境知识资源中心(Arid): Estimating Soil Organic Carbon Density in the Otindag Sandy Land, Inner Mongolia, China, for modelling spatiotemporal variations and evaluating the influences of human activities

Arid

DOI	10.1016/j.catena.2019.03.034
	Estimating Soil Organic Carbon Density in the Otindag Sandy Land, Inner Mongolia, China, for modelling spatiotemporal variations and evaluating the influences of human activities
	Sun, Bin 1,2; Wang, Yan 3; Li, Zengyuan 1; Gao, Wentao 4; Wu, Junjun 4; Li, Changlong 1; Song, Zhangliang 1; Gao, Zhihai 1
通讯作者	Gao, Zhihai
来源期刊	CATENA
ISSN	0341-8162
EISSN	1872-6887
出版年	2019
卷号	179 页码:85-97
英文摘要	Accurate quantitative estimates of Soil Organic Carbon Density (SOCD) can effectively represent regional carbon cycle processes and regulation mechanisms, and can serve as reference data when making land management decisions. Limited research, however, has been carried out in arid or desert zones covered with sparse vegetation, despite the fact that these cover wide areas of the earth and play a significant role in global carbon cycles. In this study, the Otindag Sandy Land and its surroundings (OSLAIS) in the Inner Mongolia Autonomous Region of China was selected as the study area. The study introduces a useful technique for making high spatial coverage SOCD estimates for drylands by utilizing GF-1 WFV optical satellite images and a time series of MODIS satellite remote sensing datasets, and using these to optimize parameters for simulation models in conjunction with other technical procedures that are described. The results showed that the resulting model's accuracy was 77.87%, R-2 = 0.8627, and so the SOCD estimates modelled by soil basal respiration (SBR) could be used for SOCD estimation and for analyzing the spatial distribution patterns across the OSLAIS. The average SOCD was 1.22 kgC/m(2) for the whole of the OSLAIS, and it had a heterogenous distribution pattern. The SOCD was closely related to the way the land was used in each area, and the average SOCD for the main land use types were: forest land = 2.88 kgC/m(2), farmland = 1.63 kgC/m(2), shrub land = 1.41 kgC/m(2), and grassland = 1.08 kgC/m(2). In conclusion, we believe that the proposed method, based on high-resolution GF-1 WFV data and optimized estimation models constructed by integrating climate and vegetation characteristic data, can effectively describe the spatial distribution patterns of SOC and SOCD in the OSLAIS area, in depth and in detail, especially for the areas where the SOCD values are high. We expect this research to provide useful technical support and scientific reference data for land management and for land degradation/desertification assessments, for the study area monitored, as well as across the whole dryland area of China.
英文关键词	Soil Organic Carbon Density (SOCD) Otindag Sandy Land and its surroundings Improved Van't Hoff model Spatiotemporal distribution Human activities influence
类型	Article
语种	英语
国家	Peoples R China ; Italy
收录类别	SCI-E
WOS记录号	WOS:000468716800009
WOS关键词	NITROUS-OXIDE EVOLUTION ; LIGHT USE EFFICIENCY ; TEMPERATURE SENSITIVITY ; RAINFALL EVENTS ; MATTER DYNAMICS ; RESPIRATION ; REFLECTANCE ; GRASSLAND ; STORAGE ; CLIMATE
WOS类目	Geosciences, Multidisciplinary ; Soil Science ; Water Resources
WOS研究方向	Geology ; Agriculture ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/214842
作者单位	1.CAF, IFRIT, 1 Dongxiaofu, Beijing 100091, Peoples R China; 2.ESA, European Space Res Inst ESRIN, Via Galileo Galilei, I-00044 Frascati, Italy; 3.CHECC Data Co Ltd, Jiahao Int Bldg, Beijing 100097, Peoples R China; 4.Chinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, Beijing 100094, Peoples R China
推荐引用方式 GB/T 7714	Sun, Bin,Wang, Yan,Li, Zengyuan,et al. Estimating Soil Organic Carbon Density in the Otindag Sandy Land, Inner Mongolia, China, for modelling spatiotemporal variations and evaluating the influences of human activities[J],2019,179:85-97.
APA	Sun, Bin.,Wang, Yan.,Li, Zengyuan.,Gao, Wentao.,Wu, Junjun.,...&Gao, Zhihai.(2019).Estimating Soil Organic Carbon Density in the Otindag Sandy Land, Inner Mongolia, China, for modelling spatiotemporal variations and evaluating the influences of human activities.CATENA,179,85-97.
MLA	Sun, Bin,et al."Estimating Soil Organic Carbon Density in the Otindag Sandy Land, Inner Mongolia, China, for modelling spatiotemporal variations and evaluating the influences of human activities".CATENA 179(2019):85-97.