title: Introducing a decomposition rate modifier in the Rothamsted Carbon Model to predict soil organic carbon stocks in saline soils.
abstract: Soil organic carbon (SOC) models such as the Rothamsted Carbon Model (RothC) have been used to estimate SOC dynamics in soils over different time scales but, until recently, their ability to accurately predict SOC stocks/carbon dioxide (CO(2)) emissions from salt-affected soils has not been assessed. Given the large extent of salt-affected soils (19% of the 20.8 billion ha of arable land on Earth), this may lead to miss-estimation of CO(2) release. Using soils from two salt-affected regions (one in Punjab, India and one in South Australia), an incubation study was carried out measuring CO(2) release over 120 days. The soils varied both in salinity (measured as electrical conductivity (EC) and calculated as osmotic potential using EC and water content) and sodicity (measured as sodium adsorption ratio, SAR). For soils from both regions, the osmotic potential had a significant positive relationship with CO(2)-C release, but no significant relationship was found between SAR and CO(2)-C release. The monthly cumulative CO(2)-C was simulated using RothC. RothC was modified to take into account reductions in plant inputs due to salinity. A subset of non-salt-affected soils was used to derive an equation for a "lab-effect" modifier to account for changes in decomposition under lab conditions and this modifier was significantly related with pH. Using a subset of salt-affected soils, a decomposition rate modifier (as a function of osmotic potential) was developed to match measured and modelled CO(2)-C release after correcting for the lab effect. Using this decomposition rate modifier, we found an agreement (R(2) = 0.92) between modelled and independently measured data for a set of soils from the incubation experiment. RothC, modified by including reduced plant inputs due to salinity and the salinity decomposition rate modifier, was used to predict SOC stocks of soils in a field in South Australia. The predictions clearly showed that SOC stocks are reduced in saline soils. Therefore both the decomposition rate modifier and plant input modifier should be taken into account when accounting for SOC turnover in saline soils. Since modeling has previously not accounted for the impact of salinity, our results suggest that previous predictions may have overestimated SOC stocks.
authors.affiliation: School of Agriculture, Food and Wine and the Waite Research Institute, The University of Adelaide, Adelaide, Australia.
authors.forename: Raj
authors.initials: R
authors.lastname: Setia
authors.forename: Pete
authors.initials: P
authors.lastname: Smith
authors.forename: Petra
authors.initials: P
authors.lastname: Marschner
authors.forename: Jeff
authors.initials: J
authors.lastname: Baldock
authors.forename: David
authors.initials: D
authors.lastname: Chittleborough
authors.forename: Jo
authors.initials: J
authors.lastname: Smith
mesh_terms: D002138:Calibration; D002244:Carbon / Q000032:analysis*; D002245:Carbon Dioxide / Q000032:analysis; D003198:Computer Simulation; D004785:Environmental Pollutants / Q000032:analysis; D007194:India; D008956:Models, Chemical; D009930:Organic Chemicals / Q000032:analysis*; D009995:Osmosis; D054712:Salinity; D012987:Soil / Q000737:chemistry*; D013021:South Australia
chemical_list: D004785:Environmental Pollutants; D009930:Organic Chemicals; D012987:Soil; D002245:Carbon Dioxide; D002244:Carbon