Estimates of carbon storage in grassland ecosystems on the Loess Plateau
Kaibo Wang2; Yinyin Wang3,4; Lei Deng5; Gaolin Wu5; Zhouping Shangguan3,4; Wang, KB; Shangguan, ZP (reprint author), Inst Soil & Water Conservat, Xinong Rd 26, Yangling 712100, Shaanxi, Peoples R China.
刊名CATENA
2018
卷号164页码:23-31
关键词Decision Tree Linear Model Biomass Carbon Grassland Ecosystems
ISSN号0341-8162
DOI10.1016/j.catena.2018.01.007
文献子类Article
英文摘要Grassland ecosystems play an important role in the carbon (C) balance of arid and semi-arid regions. These ecosystems provide C for grass growth and soil microbial activities and represent one of the main sources of atmospheric C. In this study, we estimated the C density and storage of 223 sampling sites in grassland ecosystems on the Loess Plateau using elevation, vegetation indexes, precipitation, air temperature, day and night land surface temperature (LSTd and LSTn, respectively), evapotranspiration (ET), percent tree cover and the non-vegetated area to build decision regression tree and generalized linear regression models (GLMs). The results showed that the C density decreased from south to north and ranged from 0.22 to 29.29 kg C/m(2). The average amount of C stored in the ecosystems was 1.46 Pg. The typical steppe and forest steppe stored the most C, and the steppe desert stored the least. The soil (0-1 m) stored most of the organic C, accounting for > 90%, and the belowground biomass (BGB) contained > 3 times the amount of C as the aboveground biomass (AGB). This study provides reference information for the loss of C and associated mitigation strategies on the Loess Plateau.
学科主题Geology ; Agriculture ; Water Resources
出版地PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
语种英语
出版者ELSEVIER SCIENCE BV
WOS记录号WOS:000430031800003
资助机构National Key Technology R&D Program of China [2016YFC0501605] ; National Key Technology R&D Program of China [2016YFC0501605] ; National Natural Science Foundation of China [41390463] ; National Natural Science Foundation of China [41390463] ; National Sci-Tech Basic Program of China [2014FY210100] ; National Sci-Tech Basic Program of China [2014FY210100] ; National Key Technology R&D Program of China [2016YFC0501605] ; National Key Technology R&D Program of China [2016YFC0501605] ; National Natural Science Foundation of China [41390463] ; National Natural Science Foundation of China [41390463] ; National Sci-Tech Basic Program of China [2014FY210100] ; National Sci-Tech Basic Program of China [2014FY210100]
内容类型期刊论文
源URL[http://ir.iswc.ac.cn/handle/361005/8259]  
专题水保所科研产出--SCI_2018--SCI
通讯作者Wang, KB; Shangguan, ZP (reprint author), Inst Soil & Water Conservat, Xinong Rd 26, Yangling 712100, Shaanxi, Peoples R China.
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, State Key Lab Loess & Quaternary Geol, Inst Earth Environm, Xian 710061, Shaanxi, Peoples R China
3.Chinese Acad Sci, State Key Lab Soil Eros & Dryland Farming Loess P, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China
4.Minist Water Resources, Yangling 712100, Shaanxi, Peoples R China
5.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714
Kaibo Wang,Yinyin Wang,Lei Deng,et al. Estimates of carbon storage in grassland ecosystems on the Loess Plateau[J]. CATENA,2018,164:23-31.
APA Kaibo Wang.,Yinyin Wang.,Lei Deng.,Gaolin Wu.,Zhouping Shangguan.,...&Shangguan, ZP .(2018).Estimates of carbon storage in grassland ecosystems on the Loess Plateau.CATENA,164,23-31.
MLA Kaibo Wang,et al."Estimates of carbon storage in grassland ecosystems on the Loess Plateau".CATENA 164(2018):23-31.
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