SIMULATING TRENDS IN SOIL ORGANIC-CARBON IN LONG-TERM EXPERIMENTS USING THE SOIL-PLANT-ATMOSPHERE MODEL DAISY

Citation
Ls. Jensen et al., SIMULATING TRENDS IN SOIL ORGANIC-CARBON IN LONG-TERM EXPERIMENTS USING THE SOIL-PLANT-ATMOSPHERE MODEL DAISY, Geoderma, 81(1-2), 1997, pp. 5-28
Citations number
35
Journal title
ISSN journal
00167061
Volume
81
Issue
1-2
Year of publication
1997
Pages
5 - 28
Database
ISI
SICI code
0016-7061(1997)81:1-2<5:STISOI>2.0.ZU;2-U
Abstract
DAISY, a mechanistic model for the simulation of crop production, soil water and N dynamics in agro-ecosystems, was used for simulating tren ds in total soil carbon (C) for various long-term experiments as part of a model evaluation exercise. Of the seven core datasets in the glob al SOMNET database, DAISY could be applied to the four arable sites an d, with certain critical assumptions, to the single grassland site. Th e model was, however, not applicable to the two forest sites, because currently DAISY cannot simulate soil water and temperature dynamics in a forest system and does not incorporate leaching of dissolved organi c substances, faunal litter incorporation or the effect of low pH on d ecomposition. The DAISY crop submodel produced some overestimation of crop yields, especially at low N input levels, and simulated root C in put to the soil may thus represent a slight overestimation. This may h ave been balanced, however, by the fact that no account is taken of rh izodeposition or root turnover in the current version of the DAISY mod el. For this reason too, plant-derived C input in perennial crops (pas tures) had to be estimated and input separately. Under these critical assumptions, the model was capable of simulating long-term trends in t otal soil C quite well for all included sites and treatments (overall correlation, R-2 = 0.86), except for the Bad Lauchstadt arable site. I t was evident that sufficient experimental data on belowground, plant- derived C inputs was not available, especially with perennial crops. F uture research in this area should thus have high priority, because su ch data are a prerequisite if soil organic matter models are to incorp orate and improve the simulation of this very important mechanism of s oil C input, The partitioning and parameterisation of C between pools in the DAISY model has been discussed and indications were found that the parameterisation of the microbial biomass pools in the model are s omewhat inadequate. (C) 1997 Elsevier Science B.V.