气候变化领域集成服务门户(CCPortal): Soil organic carbon in semiarid alpine regions: the spatial distribution, stock estimation, and environmental controls

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DOI	10.1007/s11368-019-02295-6
	Soil organic carbon in semiarid alpine regions: the spatial distribution, stock estimation, and environmental controls
	Zhu, Meng; Feng, Qi; Zhang, Mengxu; Liu, Wei; Deo, Ravinesh C.; Zhang, Chengqi; Yang, Linshan
发表日期	2019
ISSN	1439-0108
EISSN	1614-7480
卷号	19 期号:10
英文摘要	Purpose Soil organic carbon (SOC) in alpine regions is characterized by a strong local heterogeneity, which may contribute to relatively large uncertainties in regional SOC stock estimation. However, the patterns, stock, and environmental controls of SOC in semiarid alpine regions are still less understood. Therefore, the purpose of this study is to comprehensively quantify the stock and controls of SOC in semiarid alpine regions. Materials and methods Soils from 138 study sites across a typical semiarid alpine basin (1755-5051 m, similar to 1 x 10(4) km(2)) are sampled at 0-10, 10-20, 20-40, and 40-60 cm. SOC content, bulk density, soil texture, and soil pH are determined. Both a classical statistical model (i.e., a multiple linear regression, MLR) and a machine learning technique (i.e., a random forest, RF) are applied to estimate the SOC stock at a basin scale. The study further quantifies the environmental controls of SOC based on a general linear model (GLM) coupled with the structural equation modeling (SEM). Results and discussion SOC density varies significantly with topographic factors, with the highest values occurring at an elevation zone of similar to 3400 m. The results show that the SOC is more accurately estimated by the RF compared to the MLR model, with a total stock of 219.33 Tg C and an average density of 21.25 kg C m(-2) at 0-60 cm across the study basin. The GLM approach reveals that the topography is seen to explain about 58.11% of the total variation in SOC density at 0-10 cm, of which the largest two proportions are attributable to the elevation (44.32%) and the aspect factor (11.25%). The SEM approach further indicates that, of the climatic, vegetative, and edaphic factors examined, the mean annual temperature, which is mainly shaped by topography, exerts the most significant control on SOC, mainly through its direct effect, and also, through indirect effect as delivered by vegetation type. Conclusions The results of this study highlight the presence of high stocks of organic carbon in soils of semiarid alpine regions, indicating a fundamental role played by topography in affecting the overall SOC, which is mainly attained through its effects on the mean annual temperature.
关键词	Random forest Semiarid alpine regions Soil organic carbon Structural equation modeling Topography
学科领域	Environmental Sciences & Ecology; Agriculture
语种	英语
WOS研究方向	Environmental Sciences ; Soil Science
来源期刊	JOURNAL OF SOILS AND SEDIMENTS
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/112070
作者单位	Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Ecohydrol Inland River Basin, Lanzhou 730000, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Zhu, Meng,Feng, Qi,Zhang, Mengxu,et al. Soil organic carbon in semiarid alpine regions: the spatial distribution, stock estimation, and environmental controls[J]. 中国科学院西北生态环境资源研究院,2019,19(10).
APA	Zhu, Meng.,Feng, Qi.,Zhang, Mengxu.,Liu, Wei.,Deo, Ravinesh C..,...&Yang, Linshan.(2019).Soil organic carbon in semiarid alpine regions: the spatial distribution, stock estimation, and environmental controls.JOURNAL OF SOILS AND SEDIMENTS,19(10).
MLA	Zhu, Meng,et al."Soil organic carbon in semiarid alpine regions: the spatial distribution, stock estimation, and environmental controls".JOURNAL OF SOILS AND SEDIMENTS 19.10(2019).