SOMPROF: A vertically explicit soil organic matter model

被引:63
作者
Braakhekke, Maarten C. [1 ,2 ,3 ]
Beer, Christian [1 ]
Hoosbeek, Marcel R. [2 ]
Reichstein, Markus [1 ]
Kruijt, Bart [2 ]
Schrumpf, Marion [1 ]
Kabat, Pavel [2 ]
机构
[1] Max Planck Inst Biogeochem, D-07701 Jena, Germany
[2] Wageningen Univ, Dept Environm Sci, Earth Syst Sci & Climate Change Grp, NL-6700 AA Wageningen, Netherlands
[3] Int Max Planck Res Sch Earth Syst Modelling, Hamburg, Germany
关键词
Soil organic carbon model; Vertical soil organic matter profile; Surface organic layer; Soil organic matter transport; Bioturbation; Dissolved organic matter transport; TEMPERATURE SENSITIVITY; CARBON DYNAMICS; ATMOSPHERIC CO2; CLIMATE-CHANGE; FOREST; TURNOVER; TRANSPORT; NITROGEN; DECOMPOSITION; RESPIRATION;
D O I
10.1016/j.ecolmodel.2011.02.015
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Most current soil organic matter (SOM) models represent the soil as a bulk without specification of the vertical distribution of SOM in the soil profile. However, the vertical SOM profile may be of great importance for soil carbon cycling, both on short (hours to years) time scale, due to interactions with the soil temperature and moisture profile, as well as on long (years to centuries) time scale because of depth-specific stabilization mechanisms of organic matter. It is likely that a representation of the SUM profile and surface organic layers in SUM models can improve predictions of the response of land surface fluxes to climate and environmental variability. Although models capable of simulating the vertical SOM profile exist, these were generally not developed for large scale predictive simulations and do not adequately represent surface organic horizons. We present SOMPROF, a vertically explicit SUM model, designed for implementation into large scale ecosystem and land surface models. The model dynamically simulates the vertical SUM profile and organic layer stocks based on mechanistic representations of bioturbation, liquid phase transport of organic matter, and vertical distribution of root litter input. We tested the model based on data from an old growth deciduous forest (Hainich) in Germany, and performed a sensitivity analysis of the transport parameters, and the effects of the vertical SUM distribution on temporal variation of heterotrophic respiration. Model results compare well with measured organic carbon profiles and stocks. SOMPROF is able to simulate a wide range of SUM profiles, using parameter values that are realistic compared to those found in previous studies. Results of the sensitivity analysis show that the vertical SUM distribution strongly affects temporal variation of heterotrophic respiration due to interactions with the soil temperature and moisture profile. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:1712 / 1730
页数:19
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