Crops and grass: Difference between revisions

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{{ComponentTemplate2
{{ComponentTemplate2
|IMAGEComponent=Carbon, vegetation, agriculture and water; Land-use allocation; Atmospheric composition and climate;  
|IMAGEComponent=Carbon, vegetation, agriculture and water; Land-use allocation; Atmospheric composition and climate;
|KeyReference=Bondeau et al., 2007; Waha et al., 2012;  
|KeyReference=Bondeau et al., 2007; Waha et al., 2012;
|Reference=IPCC, 2007a;  
|Reference=IPCC, 2007a;  Pitman et al., 2009; Strengers et al., 2010; Müller et al., 2009; Rosenzweig et al., 2013; Fader et al., 2010;  
|InputVar=Temperature - grid; Precipitation - grid; Number of wet days - grid; Cloudiness - grid; CO2 concentration; Land cover, land use - grid; Change in soil properties - grid; Management intensity crops; Number of wet days - grid; Cloudiness - grid; Irrigation water supply - grid;
|InputVar=Temperature - grid; Precipitation - grid; Number of wet days - grid; Cloudiness - grid; CO2 concentration; Land cover, land use - grid; Change in soil properties - grid; Management intensity crops; Number of wet days - grid; Cloudiness - grid; Irrigation water supply - grid;
|Parameter=Residue management; Soil properties - grid;
|Parameter=Residue management; Soil properties - grid;
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Crop growth models are used to assess future area requirements, spatial patterns of agricultural production, and available areas for biomass-based energy (bioenergy). IMAGE 3.0 uses the [[Carbon, vegetation, agriculture and water|LPJmL model]] on dynamic global vegetation, agriculture and hydrology ([[Bondeau et al., 2007]]; [[Fader et al., 2010]]; [[Waha et al., 2012]]). This model dynamically simulates plant growth, agricultural productivity, and the carbon and water dynamics of agricultural land with detailed processes of photosynthesis, respiration, growth and phenology. In the model’s current form, management intensity can be approximated per crop type on national scale ([[Fader et al., 2010]]). Irrigation patterns are obtained from the Land-use allocation model of IMAGE (Component [[Land-use allocation]]), and other management options are calculated internally, such as sowing dates, selection of crop varieties and the demand for irrigation water.
Crop growth models are used to assess future area requirements, spatial patterns of agricultural production, and available areas for biomass-based energy (bioenergy). IMAGE 3.0 uses the [[Carbon, vegetation, agriculture and water|LPJmL model]] on dynamic global vegetation, agriculture and hydrology ([[Bondeau et al., 2007]]; [[Fader et al., 2010]]; [[Waha et al., 2012]]). This model dynamically simulates plant growth, agricultural productivity, and the carbon and water dynamics of agricultural land with detailed processes of photosynthesis, respiration, growth and phenology. In the model’s current form, management intensity can be approximated per crop type on national scale ([[Fader et al., 2010]]). Irrigation patterns are obtained from the Land-use allocation model of IMAGE (Component [[Land-use allocation]]), and other management options are calculated internally, such as sowing dates, selection of crop varieties and the demand for irrigation water.


LPJmL simulates yields per crop under optimal management intensities for each grid cell and irrigation system as well as irrigation water requirements, which is input to the IMAGE Land-use allocation model (Component [[Land-use allocation]]) for simulations of land-use change dynamics. Climate change calculated by the IMAGE climate model (Component [[Atmospheric composition and climate]]) directly affects future agricultural productivity because these components are dynamically linked in annual time-steps.  
LPJmL simulates yields per crop under optimal management intensities for each grid cell and irrigation system as well as irrigation water requirements, which is input to the IMAGE Land-use allocation model (Component [[Land-use allocation]]) for simulations of land-use change dynamics. Climate change calculated by the IMAGE climate model (Component [[Atmospheric composition and climate]]) directly affects future agricultural productivity because these components are dynamically linked in annual time-steps.
 
|ComponentCode=CG
|ComponentCode=CG
|AggregatedComponent=Carbon, vegetation, agriculture and water
|AggregatedComponent=Carbon, vegetation, agriculture and water
|FrameworkElementType=state component
|FrameworkElementType=state component
}}
}}

Revision as of 12:08, 20 May 2014

Key policy issues

  • How will climate change affect the productivity of current and future agricultural areas?
  • How could management improve agricultural productivity under current and future water constraints?
  • How will agriculture affect the Earth system with respect to carbon emissions, freshwater availability and nutrient cycles?

Introduction