Uncertainty in CENTURY-modelled changes in soil organic carbon stock in the uplands of Northeast China, 1980–2050
Uncertainty in CENTURY-modelled changes in soil organic carbon stock in the uplands of Northeast China, 1980–2050
复制标题
1980-2050年东北高地土壤有机碳储量CENTURY模型变化的不确定性
DOI:
10.1007/s10705-018-9963-1
复制
发表时间:
2018-12
影响因子:
3.1
通讯作者:
Yu DS
中科院分区:
文献类型:
--
作者:
Liu XY;Zhao YC;Shi XZ;Liu Y;Wang SH;Yu DS
Process-based models have been successfully applied to predict long-term changes in soil organic carbon (SOC) at plot scales, but considerable uncertainties are still introduced into regional or national extrapolations due to the lack of spatially explicit information on the model input parameters. Using the CENTURY model we predicted SOC changes in the uplands of Northeast China during the period from 1980 to 2050 and provided 95% confidence intervals regarding the uncertainties associated with variability in the key input parameters. Regional SOC estimation predicted by CENTURY was reliable for the uplands of Northeast China when considering the uncertainty associated with heterogeneous key input parameters. SOC stocks were estimated to be 0.99, 0.88 and 0.87 Pg C in 1980, 2010 and 2050, with 95% confidence intervals ranging from 0.69 to 1.31, 0.66 to 1.11, and 0.69 to 1.07 Pg C, respectively. Overall, the upland soils of Northeast China functioned as a carbon source from 1980 to 2010, with a net decrease of 106 (9–207) Tg C. The SOC losses mainly occurred where SOC contents were high (Heilongjiang Province and eastern Jilin Province). However, assuming unchanged management, whether the uplands of Northeast China will serve as a carbon sink/source over the next 40 years remains uncertain. Information collection on the most influential input parameters (the initial SOC content and clay content) is critical to reduce uncertainty and to provide meaningful information for decision makers.
登录
查看更多内容
影响因子:
4.4
作者:
LI, CS;FROLKING, S;FROLKING, TA
通讯作者:
FROLKING, TA
影响因子:
3.9
作者:
Yongqiang Yu;Yao Huang;Wen Zhang
通讯作者:
Yongqiang Yu;Yao Huang;Wen Zhang
影响因子:
6.1
作者:
Bassem Dimassi;B. Guenet;N. Saby;F. Muñoz;M. Bardy;F. Millet;M. Martin
通讯作者:
Bassem Dimassi;B. Guenet;N. Saby;F. Muñoz;M. Bardy;F. Millet;M. Martin
影响因子:
6.5
作者:
N. Batjes
通讯作者:
N. Batjes
影响因子:
6.6
作者:
A. Korsaeth;T. Henriksen;Anne-Grete Roer;A. Strømman
通讯作者:
A. Korsaeth;T. Henriksen;Anne-Grete Roer;A. Strømman