Models

Econometric model

Spatial econometric land use models at local to national extents use advanced spatial econometric approaches on fine scale land use data (TERUTI in France or Corine land Cover in Europe) developed by Economie Publique. These models use land rents and pedo-climatic variables to explain land use for the fowling classes: Agriculture, Forest, pasture, Urban. They also provide land use simulations under different climate/policy/economic scenarios (Chakir and Parent, 2009; Chakir and Le Gallo, 2013; Ay, Chakir and Le Gallo, 2016; Chakir and Lungarska, 2016).

AROPAJ

AROPAj is an agro-economic model covering the European agricultural production, based on a disaggregated representation of the agricutlural producers clustered into farm types to which as many as (mixed mathematical programming models are associated and which are representative at the region level. It is developed by Economie publique (INRAE).

NLU

Nexus-Land Use is a partial equilibrium model developed by CIRED for global applications focusing on land use and agricultural intensification, with a detailed spatial representation of land use (Brunelle et al, 2014; Brunelle et al., 2015; Souty et al 2012)

PREDICTS

PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) is a modeling framework for simulating biodiversity impacts (Purvis et al., 2018) which considers land-use to be the main driver of biodiversity losses (Foley, 2005). The input land-use maps are converted into impacts on biodiversity through global estimation of two indicators of local biodiversity - the Biodiversity Intactness Index (BII) and the Species (plant, animal and fungi) Richness (SR) index - applying a mixed-effect modeling structure (Hill et al., 2018) to the PREDICTS database (Hudson et al., 2017).

ORCHIDEE

ORCHIDEE-CROP (Wu et al., 2016, see publications section below) is an Agro Dynamic Global Vegetation Model (agro-DGVM), which integrates a generic crop phenology module originating from the STICS agronomical model into the land surface model ORCHIDEE. It takes the advantages of the ORCHIDEE model for simulating biophysical and biogeochemical interactions at the land/atmosphere interface. ORCHIDEE has been intensively developed over the last two decades and widely used for simulating water and carbon surface/atmosphere exchanges from plot to global scale. In this model, the land surface is described as a mosaic of plant functional types (PFT) that represents key carbon- and waterrelated processes. In order to better characterize the phenological cycle of crop species and to account for crop management, ORCHIDEE has been coupled to STICS. Several studies have shown good performances of this agro-DGVM from plot to continental scales for different temperate and tropical crop species (wheat, maize, soybean, sugarcane). This model is fully generic in a sense, that all crop or plant species are modeled by a single set of equations, but differ one from the others by their parameterization. (http://labex.ipsl.fr/orchidee/)