New emulator enables more rigorous assessments of regional and global water, land, energy, and economy interactions.
Today different regions must meet the growing demand for land - most notably for food and bioenergy crops. Expansion of irrigation can dramatically boost yields but potential expansion is limited by varying regional availability of fresh water. The potential additional irrigable land depends on water availability within a region, and the ability to stretch resources further through expansion of storage capacity and improvements in conveyance and irrigation efficiency. This study develops irrigable land supply functions that emulate a complex global water resource model that includes estimates of water resource availability and the cost of adding storage capacity and improving water-use efficiency.
The researchers’ new framework allows for more rigorous integrated analyses of regional and global impacts of water, land, energy and economy interactions. The emulator framework is available to other researchers and can be customized to match regional configurations of various integrated, multisector dynamic models.
The researchers use data on the value of production on irrigated and rain-fed cropland at an approximately 10-square kilometer grid-cell level and for the 140 regions and eight crop sectors in Version 9 of the Global Trade Analysis Project (GTAP) Data Base. For each crop category, they estimate and compare the dollar value of irrigated and rain-fed crop production using production quantities and prices. To represent the potential of irrigated land areas to expand, the researchers use irrigable land supply curves for 126 water regions globally, based on water availability and the costs of irrigation infrastructure from a detailed water resource model. These curves enable estimates of each region’s ability to adapt to changes in water resources and agriculture demand through improvement in irrigation efficiency and expansion of water storage capacity.
BER PM Contact
Multi-Sector Dynamics, Earth and Environmental Systems Modeling
Kirby Ledvina (firstname.lastname@example.org) or Niven Winchester (email@example.com)
MIT Joint Program on the Science and Policy of Global Change
The study was funded by the U.S. Department of Energy (DOE) Office of Science Office of Biological and Environmental Research under the grant DE-FG02-94ER61937 and other government, industry, and foundation sponsors of the MIT Joint Program.
Ledvina, K., N. Winchester, K. Strzepek, and J.M. Reilly. “New data for representing irrigated agriculture in economy-wide models.” Journal of Global Economic Analysis 3(1), 122-155 (2018). [DOI: 10.21642/JGEA.030103AF]
SC-23.1 Climate and Environmental Sciences Division, BER
BER supports basic research and scientific user facilities to advance DOE missions in energy and environment. More about BER
Aug 24, 2019
New Approach for Studying How Microbes Influence Their Environment
A diverse group of scientists suggests a common framework and targeting of known microbial processes [more...]
Aug 08, 2019
Nutrient-Hungry Peatland Microbes Reduce Carbon Loss Under Warmer Conditions
Enzyme production in peatlands reduces carbon lost to respiration under future high temperatures. [more...]
Aug 05, 2019
Amazon Forest Response to CO2 Fertilization Dependent on Plant Phosphorus Acquisition
AmazonFACE Model Intercomparison. The Science Plant growth is dependent on the availabi [more...]
Jul 29, 2019
A Slippery Slope: Soil Carbon Destabilization
Carbon gain or loss depends on the balance between competing biological, chemical, and physical reac [more...]
Jul 15, 2019
Field Evaluation of Gas Analyzers for Measuring Ecosystem Fluxes
How gas analyzer type and correction method impact measured fluxes. The Science A side- [more...]
List all highlights (possible long download time)