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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, Nan; Akujarvi, Anu; Wu, Xing; Liski, Jari; Wen, Zhongming; Holmberg, Maria; Feng, Xiaoming; Zeng, Yuan; Fu, Bojie
2015-03
Source PublicationLANDSCAPE ECOLOGY
Volume30Issue:3Pages:399-413
AbstractSoil 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.
Department城市与区域生态国家重点实验室
KeywordSoil Organic Carbon Dynamic Modeling Carbon Sequestration Rate LAnd Use And LAnd Cover Change Uncertainty Sensitivity
WOS Research AreaEcology ; Geography, Physical ; Geosciences, Multidisciplinary
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Document Type期刊论文
Identifierhttps://ir.rcees.ac.cn/handle/311016/32267
Collection城市与区域生态国家重点实验室
Recommended Citation
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):399-413.
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),399-413.
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):399-413.
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