Daisy: an open soil-crop-atmosphere system model

Abrahamsen, Per; Hansen, Søren

doi:10.1016/s1364-8152(00)00003-7

Cited by 287 publications

(154 citation statements)

References 24 publications

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“…It was concluded that quantitative hydrograph separation using isotope techniques is not possible in most situations (Van Der Hoven et al, 2002). Christiansen et al (2004) coupled the 1D vadose zone -3D groundwater hydrology model MIKE SHE operating at the catchment scale (Refsgaard and Storm, 1995), the 1D agroecosystem model DAISY (Hansen et al, 1991;Abrahamsen and Hansen, 2000), and a 1D DPM based on MACRO (Jarvis, 1994). The resulting model was used to study the effects of macropore flow on stream discharge and groundwater levels in a small catchment (1.5 km 2 ) in Zealand, Denmark.…”

Section: Summary For Scale II (Plot Field)mentioning

confidence: 99%

A review of model applications for structured soils: a) Water flow and tracer transport

Köhne

Šimůnek

2009

Journal of Contaminant Hydrology

283

224

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Section: Summary For Scale II (Plot Field)mentioning

confidence: 99%

A review of model applications for structured soils: a) Water flow and tracer transport

Köhne

Šimůnek

2009

Journal of Contaminant Hydrology

283

224

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“…To obtain nitrate leaching and crop yield response surfaces, we used the soil-water-crop-atmosphere model Daisy (Hansen et al, 1991;Abrahamsen and Hansen, 2000). The model is a one-dimensional mechanistic and deterministic model, simulating crop and soil processes as affected by environmental conditions.…”

Section: Crop Modelmentioning

confidence: 99%

A probabilistic assessment of climate change impacts on yield and nitrogen leaching from winter wheat in Denmark

Børgesen

Olesen

2011

Nat. Hazards Earth Syst. Sci.

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Abstract. Climate change will impact agricultural production both directly and indirectly, but uncertainties related to likely impacts constrain current political decision making on adaptation. This analysis focuses on a methodology for applying probabilistic climate change projections to assess modelled wheat yields and nitrate leaching from arable land in Denmark. The probabilistic projections describe a range of possible changes in temperature and precipitation. Two methodologies to apply climate projections in impact models were tested. Method A was a straightforward correction of temperature and precipitation, where the same correction was applied to the baseline weather data for all days in the year, and method B used seasonal changes in precipitation and temperature to correct the baseline weather data. Based on climate change projections for the time span 2000 to 2100 and two soil types, the mean impact and the uncertainty of the climate change projections were analysed. Combining probability density functions of climate change projections with crop model simulations, the uncertainty and trends in nitrogen (N) leaching and grain yields with climate change were quantified. The uncertainty of climate change projections was the dominating source of uncertainty in the projections of yield and N leaching, whereas the methodology to seasonally apply climate change projections had a minor effect. For most conditions, the probability of large yield reductions and large N leaching losses tracked trends in mean yields and mean N leaching. The impacts of the uncertainty in climate change were higher for loamy sandy soil than for sandy soils due to generally higher yield levels for loamy sandy soils. There were large differences between soil types in response to climate change, illustrating the importance of including soil information for regional studies of climate change impacts on cropping systems.

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“…The DAISY code (Hansen et al, 1990Abrahamsen and Hansen, 2000) has been validated at several occasions (e.g. Shaffer et al, 2001) and has always been evaluated favourable, in particular with regard to simulation of nitrogen and carbon transformations in soil (de Willigen, 1991;Vereecken et al, 1991;Diekkru¨ger et al, 1995;Smith et al, 1997).…”

Section: Introductionmentioning

confidence: 99%

Challenges in modelling dissolved organic matter dynamics in agricultural soil using DAISY

Gjettermann

Styczen

Hansen

et al. 2008

Soil Biology and Biochemistry

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Because dissolved organic matter (DOM) plays an important role is terrestrial C-, N-and P-balances and transport of these three components to aquatic environments, there is a need to include it in models. This paper presents the concept of the newly developed DOM modules implemented in the DAISY model with focus on the quantification of DOM sorption/desorption and microbial-driven DOM turnover. The kinetics of DOM sorption/desorption is described by the deviation of the actual DOM concentration in solution from the equilibrium concentration, C eq . The C eq is soil specific and estimated from pedotransfer functions taking into account the soil content of organic matter, Al and Fe oxides. The turnover of several organic matter pools including one DOM pool are described by first-order kinetics.The DOM module was tested at field scale for three soil treatments applied after cultivating grass-clover swards. Suction cups were installed at depths 30, 60 and 90 cm and soil solution was sampled for quantification of dissolved organic C (DOC) and dissolved organic N (DON). In the topsoil, the observed fluctuations in DOC were successfully simulated when the sorption/desorption rate coefficient k was low. In the subsoil, the observed concentrations of DOC were steadier and the best simulations were obtained using a high k. The model shows that DOC and DON concentrations are levelled out in the subsoils due to soil buffering. The steady concentration levels were based on the C eq for each horizon and the kinetic concept for sorption/desorption of DOC appeared a viable approach. If C eq was successfully estimated by the pedotransfer function it was possible to simulate the DOC concentration in the subsoil. In spite of difficulties in describing the DOC dynamics of the topsoil, the DOM module simulates the subsoil concentration level of DOC well, and also-but with more uncertainty-the DON concentration level. r

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Daisy: an open soil-crop-atmosphere system model

Cited by 287 publications

References 24 publications

A review of model applications for structured soils: a) Water flow and tracer transport

A review of model applications for structured soils: a) Water flow and tracer transport

A probabilistic assessment of climate change impacts on yield and nitrogen leaching from winter wheat in Denmark

Challenges in modelling dissolved organic matter dynamics in agricultural soil using DAISY

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