Land-use allocation/Description: Difference between revisions

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|Reference=Van Asselen and Verburg, 2013; Alexandratos and Bruinsma, 2012; Klein Goldewijk et al., 2010; O'Neill, 2013; Lambin et al., 2000;  IIASA and FAO, 2012; Nelson, 2008; Klein Goldewijk et al., 2011; Letourneau et al., 2012; Doelman and Stehfest, in preparation;  
|Reference=Van Asselen and Verburg, 2013; Alexandratos and Bruinsma, 2012; Klein Goldewijk et al., 2010; O'Neill, 2013; Lambin et al., 2000;  IIASA and FAO, 2012; Nelson, 2008; Klein Goldewijk et al., 2011; Letourneau et al., 2012; Doelman and Stehfest, in preparation;
|Description=IMAGE 3.0 has two methods to represent land-use dynamics and to determine the location of new agricultural lands. For applications not focusing on land-use dynamics, a simple regression-based suitability assessment is used to determine future land-use patterns. A dynamic link to CLUMondo ([[Van Asselen and Verburg, 2013]]) enables more detailed representation of land-use systems and their dynamics. Both approaches are embedded in the IMAGE land-use allocation model (see flowchart).  
|Description=IMAGE 3.0 has two methods to represent land-use dynamics and to determine the location of new agricultural lands. For applications not focusing on land-use dynamics, a simple regression-based suitability assessment is used to determine future land-use patterns. A dynamic link to CLUMondo ([[Van Asselen and Verburg, 2013]]) enables more detailed representation of land-use systems and their dynamics. Both approaches are embedded in the IMAGE land-use allocation model (see flowchart).  


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Land use in IMAGE is modelled using dominant land use types per grid cell on a 5 x 5 minute resolution. In reality, land use is more heterogeneous. For some applications, dominant land use on 5 x 5 minute resolution, or the derived proportional land use on a 30 x 30 minute resolution may be sufficient. However, many applications require higher resolution and additional data, such as studies on biodiversity and agricultural intensification ([[Verburg et al., 2013]]).
Land use in IMAGE is modelled using dominant land use types per grid cell on a 5 x 5 minute resolution. In reality, land use is more heterogeneous. For some applications, dominant land use on 5 x 5 minute resolution, or the derived proportional land use on a 30 x 30 minute resolution may be sufficient. However, many applications require higher resolution and additional data, such as studies on biodiversity and agricultural intensification ([[Verburg et al., 2013]]).
==CLUMondo==
{{DisplayFigureTemplate|Baseline figure Land-use allocation}}
In cooperation with Wageningen University, the IMAGE team initiated the development of a more detailed land-use model ([[Letourneau et al., 2012]]). This finally resulted in the construction of CLUMondo at the VU University Amsterdam, which is also linked to IMAGE 3.0. CLUMondo includes data on landscape composition and heterogeneity, and land-use intensity ([[Van Asselen and Verburg, 2012]]; [[Van Asselen and Verburg, 2013]]). The model uses land systems, a concept that combines data on land cover (cropland, grassland, forest, built-up area, bare land), livestock density and agricultural intensity. These characteristics are combined in 30 land system classes (see figure).
Logistic regressions between a range of biophysical and socioeconomic indicators, and the land systems are used to determine spatially explicit suitability for these systems. In combination with additional settings on neighbourhood effects, location-specific additions and a set of rules on conversion resistance, CLUMondo uses this suitability to model land system changes (see bottom flowchart). The resulting maps of land systems, with their specific characteristics on land-cover areas, livestock density, and agricultural intensity describe changes in land system dynamics over time, and can be used directly in impact models.
CLUMondo is dynamically linked to IMAGE, and the change in land systems can be used as an additional suitability criterion. Fractions of crops and intensive grasslands from CLUMondo are re-arranged in 30 minutes grid cells to dominant 5 minutes crop cells, which are then given a very high suitability ranking in IMAGE to ensure these cells are converted first. In this way, IMAGE follows the dynamics of CLUMondo in terms of location of new or abandoned agricultural land, and tries to make agricultural areas and agricultural expansion in IMAGE and CLUMondo consistent on a 30 x 30 minutes resolution.
Currently, IMAGE is not using the endogenous intensification calculated by CLUMondo ([[Van Asselen and Verburg, 2013]]) because it is not necessarily consistent and is mostly lower than the intensification calculated by the agro-economic model ([[Agricultural economy]]). At a later stage, intensification in IMAGE and CLUMondo could be made consistent via iterations or closer linkages. For similar reasons, grassland dynamics are not taken from CLUMondo but from the [[Livestock systems|IMAGE livestock]] and [[Agricultural economy|agro-economic models]].
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Revision as of 13:33, 4 November 2016

link to framework components overview

Parts of Land-use allocation/Description

  1. Introduction page
  2. Model description
  3. Policy issues
  4. Data, uncertainty and limitations
  5. Overview of references
Component is implemented in:
Components:
Related IMAGE components
Projects/Applications
Key publications
References
Land-use allocation model in IMAGE 3.0
Flowchart Land-use allocation. See also the Input/Output Table on the introduction page.

Model description of Land-use allocation

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