Model:GLUDM

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GLUDM

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Summary Contact Technical specs In/Output Process Testing Other Component info Also known as Model type Single Model part of larger framework Note on status model Date note status model Incorporated models or components: Spatial dimensions 2D Spatial extent Global Model domain One-line model description Global future agricultural land use dynamics model Extended model description The model calculates a unique regression equation for each grid-cell between a the relative area of a specific land use (e.g. cropland) and global population. The equation is used to extrapolate that land use are into the future in each grid cell with predicted global population predictions. If the relative area of a land use reach a value of 95%, additional expansion is migrated to neighboring cells thus allowing spatial expansion. Geographic limitations are imposed on land use migration (e.g. no cropland beyond 60 degree latitude). For more information: Haney, N., Cohen, S. (2015), Predicting 21st century global agricultural land use with a spatially and temporally explicit regression-based model. Applied Geography, 62: 366-376. Keywords: land use, agriculture, Future, Name Sagy Cohen Type of contact Project manager Institute / Organization University of Alabama Postal address 1 Postal address 2 Town / City Tuscaloosa Postal code 35487 State Alabama Country United States Email address sagy.cohen@ua.edu Phone Fax Supported platforms Unix, Linux, Mac OS, Windows Other platform Programming language Java Other program language Code optimized Single Processor Multiple processors implemented Nr of distributed processors Nr of shared processors Start year development 2013 Does model development still take place? No If above answer is no, provide end year model development 2014 Code development status When did you indicate the 'code development status'? Model availability As code Source code availability (Or provide future intension) Through CSDMS repository Source web address Source csdms web address Program license type GPL v2 Program license type other Memory requirements Typical run time Minutes Describe input parameters Rasters containing the relative area of a specific land use (e.g. cropland) in the past (e.g. 1960, 1980, 1990, 2005). A table of historic and predicted global population. Input format ASCII Other input format text file Describe output parameters Rasters containing the relative area of a specific land use in the future. Output format ASCII Other output format Pre-processing software needed? Yes Describe pre-processing software GIS Post-processing software needed? Yes Describe post-processing software GIS Visualization software needed? Yes If above answer is yes ESRI Other visualization software Any GIS Describe processes represented by the model Regression based interpolation. Different regression equation type can be used. Land use area in each grid cell is the dependent variable and global population is the independent variable. Describe key physical parameters and equations Global population values is assumed to be the most important controlling factor on the area of a specific agricultural land use area. Describe length scale and resolution constraints At the moment the resolution of the input controls the resolution of the output. This is a global model but can be applied to smaller domains. Describe time scale and resolution constraints Yearly, 1960-2100. Describe any numerical limitations and issues Describe available calibration data sets We used the HYDE 3.1 dataset and the USDA's CropScape dataset for validation. See: Haney, N., Cohen, S. (2015), Predicting 21st century global agricultural land use with a spatially and temporally explicit regression-based model. Applied Geography, 62: 366-376. Upload calibration data sets if available: Describe available test data sets Cropland area for ... Upload test data sets if available: Describe ideal data for testing Do you have current or future plans for collaborating with other researchers? Is there a manual available? Yes Upload manual if available: Model website if any http://sdml.ua.edu/models/ Model forum / discussion board Comments See model description, validation and analysis in: Haney, N., Cohen, S. (2015), Predicting 21st century global agricultural land use with a spatially and temporally explicit regression-based model. Applied Geography, 62: 366-376. http://sdml.ua.edu/publications/ This part will be filled out by CSDMS staff OpenMI compliant No not possible BMI compliant No not possible WMT component Not yet"Not yet" is not in the list (Yes, In progress, No but possible, No not possible) of allowed values for the "Code CMT compliant or not" property. PyMT component Is this a data component Can be coupled with:

Model info Authors Sagy Cohen Source code View in CSDMS GitHub repository Model citations Nr. of publications: 1 Total citations: 11 h-index: 1 m-quotient: 0.09 QR-code Link to this page Other models by author Area-Slope Equation Calculator FwDET GLUDM MARM5D PsHIC WBMsed

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Nr. of publications:	1
Total citations:	11
h-index:	1
m-quotient:	0.09

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