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Uncertainty in future soil carbon trends at a central US site under an ensemble of GCM scenario climates
被引:21
|作者:
Pan, Z.
[1
]
Andrade, D.
[1
]
Segal, M.
[2
]
Wimberley, J.
[1
]
McKinney, N.
[1
]
Takle, E.
[2
]
机构:
[1] St Louis Univ, St Louis, MO 63108 USA
[2] Iowa State Univ, Ames, IA 50011 USA
关键词:
Soil carbon;
Climate change;
Net primary production;
Soil respiration;
Ecosystem;
DIOXIDE;
SINK;
TILLAGE;
MODEL;
D O I:
10.1016/j.ecolmodel.2009.11.013
中图分类号:
Q14 [生态学(生物生态学)];
学科分类号:
071012 ;
0713 ;
摘要:
This study uses DAYCENT model to investigate the sensitivity of soil organic carbon (SOC) at an intensely cultivated site in the U.S. Midwest under an ensemble of scenario climates predicted by IPCC models. The model ensemble includes three IPCC models (Canadian, French. German), three emission scenarios (B1, A1B, A2) and three time periods (late 20th, mid-21st, late 21st century). DAYCENT shows that SOC at the site would decline by 0.3-2.6 kg m(-2) (5-35%) depending on the models and scenarios from late 20th to mid-21st century despite a larger increase of future net primary production (NPP) than respiration. The future SOC decrease is mostly attributable to harvest loss. The wide spread in future SOC decline rates are in part because SOC decrease (by respiration) is directly proportional to SOC itself. Any uncertainty in absolute SOC in DAYCENT would translate directly into its trend, unlike other variables such as temperature whose trends are independent of their values themselves, contrasting the reliability of SOC trend with temperature change. (C) 2009 Elsevier B.V. All rights reserved.
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页码:876 / 881
页数:6
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