Modelling the impact of pore space distribution on carbon turnover

被引:59
作者
Kuka, K.
Franko, U.
Ruehlmann, J.
机构
[1] UFZ Helmholtz Ctr Environm Res, Helmontz Ctr Envi Res Leipzig Halle, Dept Soil Phys, D-06120 Halle, Germany
[2] Inst Vegetable & Ornamental Crops, Dept Plant Nutr, D-14979 Grosshansdorf, Germany
关键词
CIPS model; carbon turnover; carbon sequestration; arable soil; pore space;
D O I
10.1016/j.ecolmodel.2007.06.002
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
A new modelling approach has been developed for carbon turnover in arable soils. The rationale for the new model is based on the hypothesis that long-term stabilization of carbon in soil is mainly a function of its accessibility or its localisation within the soil pore space. The main assumption of the new Carbon turnover In Pore Space (CIPS) model is that the biological activity is not evenly distributed through the whole pore space. Because of the poor aeration in the micro-pores they show very low biological activity leading to a strong protection of the carbon localized in this pore space. In the CIPS model four pools of organic matter are defined: fresh organic matter (FOM) of plant residues and organic fertilizers, active organic matter (AOM) associated with microbial biomass, refractory organic matter (ROM) of decomposing carbon and dissolved organic matter (DOM). The initial carbon distribution between pore size classes is tied to their surface area. DOM serves as an exchange medium between the pore size classes. Model parameters were determined by means of two incubation experiments and for field conditions adapted using data of the long-term agro ecosystem experiment 'Static fertilisation experiment' Bad Lauchstaedt. The CIPS model has been validated with data of the long-term agro ecosystem experiment 'Plant nutrition and fertilisation experiment - Field B' Prague Ruzyne. The model achieved a good fit of calculated versus observed data. By relating carbon turnover to soil architecture and thus to accessibility, the new CIPS model provides a means to relate soil carbon turnover to physical, measurable features of the system. The combination of quality controlled primary stabilization processes (recalcitrance of organic matter) and soil structure dependent stabilization processes (location of turnover) is paving the way towards a new generation of global carbon turnover models. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:295 / 306
页数:12
相关论文
共 38 条
[1]   COMPUTER-SIMULATION OF CHANGES IN SOIL MINERAL NITROGEN AND CROP NITROGEN DURING AUTUMN, WINTER AND SPRING [J].
ADDISCOTT, TM ;
WHITMORE, AP .
JOURNAL OF AGRICULTURAL SCIENCE, 1987, 109 :141-157
[2]   PHYSICAL FACTORS INFLUENCING DECOMPOSITION OF ORGANIC MATERIALS IN SOIL AGGREGATES [J].
ADU, JK ;
OADES, JM .
SOIL BIOLOGY & BIOCHEMISTRY, 1978, 10 (02) :109-115
[3]  
[Anonymous], SOFTW WORLD
[4]   Development and application of a new sessile drop contact angle method to assess soil water repellency [J].
Bachmann, J ;
Ellies, A ;
Hartge, KH .
JOURNAL OF HYDROLOGY, 2000, 231 :66-75
[5]   Relationship of soil organic matter dynamics to physical protection and tillage [J].
Balesdent, J ;
Chenu, C ;
Balabane, M .
SOIL & TILLAGE RESEARCH, 2000, 53 (3-4) :215-230
[6]  
Christensen B.T., 1992, Advances in Soil Science, V20, P1, DOI DOI 10.1007/978-1-4612-2930-8_1
[7]   Importance of macroaggregate dynamics in controlling soil carbon stabilization: short-term effects of physical disturbance induced by dry-wet cycles [J].
Denef, K ;
Six, J ;
Paustian, K ;
Merckx, R .
SOIL BIOLOGY & BIOCHEMISTRY, 2001, 33 (15) :2145-2153
[8]   How important is inert organic matter for predictive soil carbon modelling using the Rothamsted carbon model? [J].
Falloon, P ;
Smith, P ;
Coleman, K ;
Marshall, S .
SOIL BIOLOGY & BIOCHEMISTRY, 2000, 32 (03) :433-436
[9]  
FRANKE TF, 1995, CELL, V81, P1
[10]  
FRANKO U, 1989, C N DYNAMIK UMSATZ O