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Changes in soil carbon stock predicted by a process-based soil carbon model (Yasso07) in the Yanhe watershed of the Loess Plateau
Lu, Nan1; Akujarvi, Anu1; Wu, Xing1; Liski, Jari1; Wen, Zhongming1; Holmberg, Maria1; Feng, Xiaoming1; Zeng, Yuan1; Fu, Bojie1
刊名LANDSCAPE ECOLOGY
2015
卷号30期号:3页码:463-475
关键词Soil organic carbon Dynamic modeling Carbon sequestration rate Land use and land cover change Uncertainty Sensitivity
通讯作者Lu, N (reprint author), Chinese Acad Sci, Res Ctr Ecoenvironm Sci RCEES, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China.
英文摘要Soil carbon sequestration is an ecosystem process that can provide important ecosystem services such as climate regulation and mitigation of global warming. Spatiotemporal variation in the soil organic carbon (SOC) stock is the basic information needed for landscape management and determination of regional carbon budgets. The objective of this study was to evaluate the effect of ecological restoration on SOC stocks and determine the influences of multiple factors in the Yanhe watershed of the Loess Plateau. We coupled the Yasso07 soil carbon model with remote sensing indices as model input. The model performance was evaluated by uncertainty and sensitivity analyses as well as validation against field measurement. The modeling captured the spatial pattern of SOC variability across the landscape generally well. Net primary productivity (NPP) was the foremost factor that affecting the spatiotemporal variation of SOC density. Converting cropland to grassland was the most efficient restoration type in soil carbon sequestration in the study period. Land use change influenced the spatial correlation between NPP and SOC density by altering both litter quantity and quality. The changes in land use area tended to have higher contributions to the changes in SOC stock than did the changes in SOC density for different land use types. The overall effect of ecological restoration on soil carbon sequestration was dependent on the main vegetation restoration type and the time of recovery. Human-derived land use changes could have more substantial effects on soil carbon budgets compared to natural factors in a short period of time.
研究领域[WOS]Ecology ; Geography, Physical ; Geosciences, Multidisciplinary
收录类别SCI
语种英语
WOS记录号WOS:000350227000003
内容类型期刊论文
源URL[http://ir.ceode.ac.cn/handle/183411/38475]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位1.[Lu, Nan
2.Wu, Xing
3.Feng, Xiaoming
4.Fu, Bojie] Chinese Acad Sci, Res Ctr Ecoenvironm Sci RCEES, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China
5.[Akujarvi, Anu
6.Liski, Jari
7.Holmberg, Maria] Finnish Environm Inst SYKE, Nat Environm Ctr, Ecosyst Proc, Helsinki 00251, Finland
8.[Wen, Zhongming] Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling, Shaanxi, Peoples R China
9.[Zeng, Yuan] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Lu, Nan,Akujarvi, Anu,Wu, Xing,et al. Changes in soil carbon stock predicted by a process-based soil carbon model (Yasso07) in the Yanhe watershed of the Loess Plateau[J]. LANDSCAPE ECOLOGY,2015,30(3):463-475.
APA Lu, Nan.,Akujarvi, Anu.,Wu, Xing.,Liski, Jari.,Wen, Zhongming.,...&Fu, Bojie.(2015).Changes in soil carbon stock predicted by a process-based soil carbon model (Yasso07) in the Yanhe watershed of the Loess Plateau.LANDSCAPE ECOLOGY,30(3),463-475.
MLA Lu, Nan,et al."Changes in soil carbon stock predicted by a process-based soil carbon model (Yasso07) in the Yanhe watershed of the Loess Plateau".LANDSCAPE ECOLOGY 30.3(2015):463-475.
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