Articles | Volume 15, issue 2
https://doi.org/10.5194/gmd-15-429-2022
https://doi.org/10.5194/gmd-15-429-2022
Development and technical paper
 | 
19 Jan 2022
Development and technical paper |  | 19 Jan 2022

Modeling land use and land cover change: using a hindcast to estimate economic parameters in gcamland v2.0

Katherine V. Calvin, Abigail Snyder, Xin Zhao, and Marshall Wise

Related authors

GCAM-USA v5.3_water_dispatch: integrated modeling of subnational US energy, water, and land systems within a global framework
Matthew Binsted, Gokul Iyer, Pralit Patel, Neal T. Graham, Yang Ou, Zarrar Khan, Nazar Kholod, Kanishka Narayan, Mohamad Hejazi, Son Kim, Katherine Calvin, and Marshall Wise
Geosci. Model Dev., 15, 2533–2559, https://doi.org/10.5194/gmd-15-2533-2022,https://doi.org/10.5194/gmd-15-2533-2022, 2022
Short summary
Modeling perennial bioenergy crops in the E3SM land model
Eva Sinha, Kate Calvin, Ben Bond-Lamberty, Beth Drewniak, Dan Ricciuto, Khachik Sargsyan, Yanyan Cheng, Carl Bernacchi, and Caitlin Moore
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2021-244,https://doi.org/10.5194/gmd-2021-244, 2021
Preprint withdrawn
Short summary

Cited articles

Ahmed, S. A., Hertel, T., and Lubowski, R.: Calibration of a land cover supply function using transition probabilities, Purdue, Indiana, available at: https://www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=2947 (last access: 2 September 2020), 2009. 
Babcock, B. A.: Extensive and Intensive Agricultural Supply Response, Annu. Rev. Resour. Econ., 7, 333–348, https://doi.org/10.1146/annurev-resource-100913-012424, 2015. 
Baldos, U. L. C. and Hertel, T. W.: Looking back to move forward on model validation: Insights from a global model of agricultural land use, Environ. Res. Lett., 8, 034024, https://doi.org/10.1088/1748-9326/8/3/034024, 2013. 
Barr, K. J., Babcock, B. A., Carriquiry, M. A., Nassar, A. M., and Harfuch, L.: Agricultural Land Elasticities in the United States and Brazil, Appl. Econ. Perspect. P., 33, 449–462, https://doi.org/10.1093/aepp/ppr011, 2011. 
Download
Short summary
Future changes in land use and cover have important implications for agriculture, energy, water use, and climate. In this study, we demonstrate a more systematic and empirically based approach to estimating a few key parameters for an economic model of land use and land cover change, gcamland. We identify parameter combinations that best replicate historical land use in the United States.
Share