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  1. LANDPARAM

    20 Jul 2015 | Tools | Contributor(s): Jing Liu, Nelson Benjamin Villoria (contributor)

    A tool to aggregate cropland supply and land transformation elasticities

  2. Managing Nitrate Leaching in the Corn Belt

    08 Oct 2018 | Online Presentations | Contributor(s): Christopher Kucharik, Laura C Bowling, Jing Liu

    Video presentation on "Managing Nitrate Leaching in the Corn Belt" for the 2018 Conference on the Long Run Sustainability of US Agriculture, the National Press Club, Washington DC, September 17, 2018

  3. Managing the Global Commons: Sustainable Agriculture and Use of the World's Land and Water Resources in the 21st Century

    19 Oct 2017 | Publications | Contributor(s): Tom Hertel, Uris Lantz C Baldos, Laura C Bowling, Keith Cherkauer, Matthew Huber, David R Johnson, Carol Song, Dominique van der Mensbrugghe

    This is a presentation at IMPACTS WORLD 2017.

  4. MyGeoHub Geospatial Gateway

    26 Oct 2017 | Publications | Contributor(s): Rajesh Kalyanam, Lan Zhao, Rob Campbell, Derrick Kearney, I Luk Kim, Jaewoo Shin, Larry Biehl, Wei Wan, Carol Song

    MyGeoHub is a science gateway for researchers working with geospatial data. Based on the HUBzero cyberinfrastructure framework, it provides general-purpose software modules enabling geospatial data management, processing and visualization. Termed “GABBs” (Geospatial Data Analysis...

  5. Predicting Long Term Food Demand, Cropland Use and Prices

    08 Sep 2017 | Publications | Contributor(s): Tom Hertel, Uris Lantz C Baldos, Dominique van der Mensbrugghe

    This paper seeks to survey, understand and reconcile the widely divergent estimates of long run global crop output, land use and price projections in the current literature. We begin by reviewing the history of such projections and the different models and assumptions used in these exercises. We...

  6. Quantifying the uncertainties in estimating the heterogeneous effects of carbon taxes on labor, land, water, and fertilizer use in US agriculture

    17 May 2023 | Publications | Contributor(s): Iman Haqiqi

    Selected Paper prepared for presentation at the 2023 Agricultural & Applied Economics Association Annual Meeting, Washington DC; July 23-25, 2023 Potential carbon taxes will have spatially heterogeneous impacts on agriculture. The magnitude of impacts depends on 1) the direct and...

  7. SPAM in the Clouds

    25 Jul 2014 | Tools | Contributor(s): Liangzhi You, Ulrike Wood-Sichra, Jingyu Song, Nelson Benjamin Villoria, Paul Preckel, Jaewoo Shin, Lan Zhao

    Spatial Production Allocation Model (SPAM) 2005 Beta Version

  8. The power and pain of market-based carbon policies: a global application to greenhouse gases from ruminant livestock production

    08 Sep 2017 | Publications | Contributor(s): Benjamin Henderson, Alla A Golub, Daniel Djauhari Pambudi, Tom Hertel, Cecile Godde, Mario Herrero, Oscar Cacho, Pierre J. Gerber

    The objectives of this research are to assess the greenhouse gas mitigation potential of carbon policies applied to the ruminant livestock sector [inclusive of the major ruminant species—cattle (Bos Taurus and Bos indicus), sheep (Ovis aries), and goats (Capra hircus)]— with...

  9. U2U Accomplishment Highlights (April 2011 - Sept 2012)

    17 Oct 2012 | Publications | Contributor(s): Melissa Widhalm, John Kriva

    This document provides a brief overview of the top accomplishments from the U2U project from April 2011 - Sept 2012.

  10. U2U Progress Timeline (graphic)

    08 Nov 2012 | Downloads | Contributor(s): Melissa Widhalm, John Kriva

  11. Using spatially explicit data to improve our understanding of land supply responses: An application to the cropland effects of global sustainable irrigation in the Americas

    09 Aug 2018 | Publications | Contributor(s): Nelson Benjamin Villoria, Jing Liu

    Land supply elasticities determine the rates of land conversion in global policy models. However, they are only available for few countries in the world. Therefore, analysts seeking to improve the spatial resolution of their models are forced to impose regionally homogeneous parameters...