Simulation of nitrogen dynamics and biomass production in winter wheat using the Danish simulation model DAISY

Hansen, Søren; Jensen, H. E.; Nielsen, Niels Erik; Svendsen, Harald

doi:10.1007/bf01051131

Cited by 386 publications

(161 citation statements)

References 21 publications

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“…The Daisy dynamic soil-plant-atmosphere model (Hansen et al 1991;Olesen et al 2004) was used to analyse the interaction of climate change and nitrogen (N) cycling for continuous winter wheat in Denmark. An adaptive response was introduced by assuming the sowing date to be delayed by 5 days for each 1°C increase in mean temperature (Olesen et al 2000).…”

Section: Site-based Crop Modelsmentioning

confidence: 99%

Uncertainties in projected impacts of climate change on European agriculture and terrestrial ecosystems based on scenarios from regional climate models

et al. 2007

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The uncertainties and sources of variation in projected impacts of climate change on agriculture and terrestrial ecosystems depend not only on the emission scenarios and climate models used for projecting future climates, but also on the impact models used, and the local soil and climatic conditions of the managed or unmanaged ecosystems under study. We addressed these uncertainties by applying different impact models at site, regional and continental scales, and by separating the variation in simulated relative changes in ecosystem performance into the different sources of uncertainty and variation using analyses of variance. The crop and ecosystem models used output from a range of global and regional climate models (GCMs and RCMs) projecting climate change over Europe between 1961–1990 and 2071–2100 under the IPCC SRES scenarios. The projected impacts on productivity of crops and ecosystems included the direct effects of increased CO2 concentration on photosynthesis. The variation in simulated results attributed to differences between the climate models were, in all cases, smaller than the variation attributed to either emission scenarios or local conditions. The methods used for applying the climate model outputs played a larger role than the choice of the GCM or RCM. The thermal suitability for grain maize cultivation in Europe was estimated to expand by 30–50% across all SRES emissions scenarios. Strong increases in net primary productivity (NPP) (35–54%) were projected in northern European ecosystems as a result of a longer growing season and higher CO2 concentrations. Changing water balance dominated the projected responses of southern European ecosystems, with NPP declining or increasing only slightly relative to present-day conditions. Both site and continental scale models showed large increases in yield of rain-fed winter wheat for northern Europe, with smaller increases or even decreases in southern Europe. Site-based, regional and continental scale models showed large spatial variations in the response of nitrate leaching from winter wheat cultivation to projected climate change due to strong interactions with soils and climate. The variation in simulated impacts was smaller between scenarios based on RCMs nested within the same GCM than between scenarios based on different GCMs or between emission scenarios

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Section: Site-based Crop Modelsmentioning

confidence: 99%

Uncertainties in projected impacts of climate change on European agriculture and terrestrial ecosystems based on scenarios from regional climate models

et al. 2007

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“…Potential evapotranspiration is calculated using the Penman-Monteith equation (Monteith 1973) using a standard stomata resistance of 50 s m -1 , which was converted into a canopy resistance using the approach of Stockle et al (1994). In order to consider delayed water influx into the soil after snow fall a submodel of snow accumulation was adopted from the DAISY model (Hansen et al 1991), which is based on the model of Jansson and Haldin (1980). Basic parts of this submodel are the separate calculation of liquid water and total water expressed in equivalent water within the snow pack:…”

Section: Water Transport and Evapotranspirationmentioning

confidence: 99%

Evaluation of different agronomic strategies to reduce nitrate leaching after winter oilseed rape (Brassica napus L.) using a simulation model

Henke¹,

Böttcher

Neukam

et al. 2008

Nutr Cycl Agroecosyst

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Winter oilseed rape (OSR) demands high levels of N fertilizer, often exceeding 200 kg N ha -1 . Large amounts of residual soil mineral nitrogen (SMN) after harvest are regularly observed, and therefore N leaching during the percolation period over winter is increased. In this study agronomic strategies (fertilization level, crop rotation, tillage intensity) to control nitrate leaching after OSR were investigated by combining field measurements (soil mineral nitrogen, soil water content, crop N uptake) of a 2-year trial and another 5-year field trial with simulation modeling. The crop-soil model uses a daily time step and was built from existing and partly refined submodels for soil water dynamics, mineralization processes, and N uptake. It was used to reproduce the complex processes of the N dynamics and to calculate N concentration in the leachate and total volume of percolation water. Some parameters values were thereby newly identified based on the agreement between measured data and model results. Although SMN in the 60-90 cm layer was overestimated, the model could reproduce the measured data with an acceptable degree of accuracy. Overfertilization of OSR increased N leaching and therefore the precise calculation of N fertilizer doses is a first step towards prevent N leaching. Compared to ploughing, minimum tillage decreased N leaching when winter wheat was grown as the subsequent crop. Volunteer OSR and Phacelia tanacetifolia were grown as catch crops after OSR harvest. N leaching could be decreased especially when Phacelia was grown, but nitrate concentrations in the drainage water were higher and exceeded the European Union (EU) threshold for drinking water when volunteer OSR was grown. The results of this study provide strong evidence that reduced tillage or growing of noncruciferous catch crops decrease N leaching and may be used as an agricultural measure to prevent N pollution.

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“…Several such models have been developed in the last two decades, e.g. DAISY (Hansen et al 1991), DNDC (Li et al 1992Tonitto et al 2007), LEACHM (Hutson 2000) and NCSOIL (Molina et al 1983). In addition a newly developed process based and spatially referenced water and nitrogen management model (WNMM) has been used successfully to simulate water dynamics in intensive irrigated cropping systems in temperate northern China where soils are mostly alkaline , and to develop a decision support system for irrigation and fertilizer application (Chen et al 2006).…”

Section: Introductionmentioning

confidence: 99%

Nitrogen leaching in an upland cropping system on an acid soil in subtropical China: lysimeter measurements and simulation

Sun

Chen

et al. 2008

Nutr Cycl Agroecosyst

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The effect of rainfall and nitrogen (N) input on nitrate leaching in a rain-fed peanut-oilseed rape system on an acidic soil in subtropical China was investigated in a field lysimeter experiment from 1997 to 2000. Drainage and nitrate leaching were simulated using the Water and Nitrogen Management Model (WNMM). Nitrate concentrations in the drainage water and nitrate leaching increased with increasing N application rate. Annual leaching losses ranged from 21.1 to 46.3 kg N ha -1 (9.5-16.8%) for inputs between 0 and 150 kg N ha -1 . Growth of oilseed rape decreased the nitrate concentration in the drainage water, but growing N fixing peanuts did not. Rainfall had a greater impact on nitrate leaching than crop uptake. Nitrate concentrations in the drainage water were relatively low (1.95-4.33 mg N l -1 ); this was caused by the high precipitation, the low nitrification rate, and the low residual nitrate in the soil. The loss of nitrate was low during the dry season (October-February) and in the dry year (rainfall 17% below average) mainly as a result of reduced drainage. WNMM satisfactorily simulated the intermonthly variation in drainage and total nitrate leached, with respective relative root mean square errors of 42.7% and 70.2%, mean modelling efficiencies of 0.88 and 0.67, and mean relative errors of -3.82% and 21.8%. The modelled annual N losses were only 1-7% less than the observed values.

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Simulation of nitrogen dynamics and biomass production in winter wheat using the Danish simulation model DAISY

Cited by 386 publications

References 21 publications

Uncertainties in projected impacts of climate change on European agriculture and terrestrial ecosystems based on scenarios from regional climate models

Uncertainties in projected impacts of climate change on European agriculture and terrestrial ecosystems based on scenarios from regional climate models

Evaluation of different agronomic strategies to reduce nitrate leaching after winter oilseed rape (Brassica napus L.) using a simulation model

Nitrogen leaching in an upland cropping system on an acid soil in subtropical China: lysimeter measurements and simulation

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