LANDPARAM

By Jing Liu1, Nelson Benjamin Villoria (contributor)1

1. Purdue University

A tool to aggregate cropland supply and land transformation elasticities

Launch Tool

This tool version is unpublished and cannot be run. If you would like to have this version staged, you can put a request through HUB Support.

Archive Version 1.3
Published on 07 Jul 2016, unpublished on 06 Dec 2018 All versions

This tool is closed source.

Category

Tools

Published on

Abstract

Land supply elasticity is a key parameter in assessing the land use response to changing environment, market conditions and policies. It reflects the fact that cultivation decisions depend on land profitability as well as on land suitability. In spite of its importance, high-resolution and aggregatable information on this elasticity is sparse. Instead, previous research has been relying on parameters that are grossly estimated and extrapolated. An improper approximation of this elasticity can significantly weaken the predictive power of an integrated assessment model in land use change studies.

 

This tool aims to provide land supply and transformation elasticities at any user-defined resolutions. Pre-saved in this tool is a set of grid-cell level parameters that will be used to compute these elasticities (for methodology, see attached reference papers). Users only need to upload their own mapping files indicating the area of interest and its coverage of countries. The tool would return the corresponding parameters aggregated to the indicated area. In particular, this tool provides the following functions:

  • Compute own-price land supply elasticity and land transformation elasticity for a given area
  • Compute converted cropland areas from different non-crop covers (forest, grassland and shrublands) for a given area
  • Visualize grid-cell level land cultivation probability induced by changing land returns
  • Compare results from different simulations

References

https://www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=4843

Cite this work

Researchers should cite this work as follows:

  • Jing Liu; Nelson Benjamin Villoria (2015), "LANDPARAM," https://mygeohub.org/resources/landuse.

    BibTex | EndNote

Tags