IIASA's Global Biosphere Management Model (GLOBIOM) is used to analyze the competition for land use between agriculture, forestry, and bioenergy, which are the main land-based production sectors. As such, the model can provide scientists and policymakers with the means to assess, on a global basis, the rational production of food, forest fiber, and bioenergy, all of which contribute to human welfare.
GLOBIOM has been developed and used by IIASA since the late 2000s. The partial-equilibrium model represents various land use-based activities, including agriculture, forestry and bioenergy sectors. The model is built following a bottom-up setting based on detailed grid-cell information, providing the biophysical and technical cost information. This detailed structure allows a rich set of environmental parameters to be taken into account. Its spatial equilibrium modelling approach represents bilateral trade based on cost competitiveness. The model was initially developed for impact assessment of climate change mitigation policies in land-based sectors, including biofuels, and nowadays is also increasingly being implemented for agricultural and timber markets foresight, and economic impact analysis of climate change and adaptation, and a wide range of sustainable development goals.
For information on the model and links to further resources, please visit the GLOBIOM documentation and resources site.
Last edited: 23 July 2020
Havlik P , Valin H , Herrero M, Obersteiner M , Schmid E, Rufino MC, Mosnier A, Thornton PK, et al. (2014). Climate change mitigation through livestock system transitions. Proceedings of the National Academy of Sciences 111 (10): 3709-3714. DOI:10.1073/pnas.1308044111.
Havlik P , Schneider UA, Schmid E, Bottcher H, Fritz S, Skalsky R , Aoki K, De Cara S, et al. (2011). Global land-use implications of first and second generation biofuel targets. Energy Policy 39 (10): 5690-5702. DOI:10.1016/j.enpol.2010.03.030.
Soterroni A, Mosnier A, Carvalho A, Câmara G, Obersteiner M , Andrade PR, Souza RC, Brock R, et al. (2018). Future environmental and agricultural impacts of Brazil's Forest Code. Environmental Research Letters DOI:10.1088/1748-9326/aaccbb.
Baker JS, Havlik P , Beach R, Leclere D, Schmid E, Valin H , Cole J, Creason J, et al. (2018). Evaluating the effects of climate change on US agricultural systems: sensitivity to regional impact and trade expansion scenarios. Environmental Research Letters 13 (6): e064019. DOI:10.1088/1748-9326/aac1c2.
van Meijl H, Havlik P , Lotze-Campen H, Stehfest E, Witzke P, Domínguez IP, Bodirsky BL, van Dijk M, et al. (2018). Comparing impacts of climate change and mitigation on global agriculture by 2050. Environmental Research Letters 13 (6): e064021. DOI:10.1088/1748-9326/aabdc4.
Deppermann A, Balkovic J , Bundle S-C, Di Fulvio F , Havlik P , Leclere D, Lesiv M, Prishchepov A, et al. (2018). Increasing crop production in Russia and Ukraine—regional and global impacts from intensification and recultivation. Environmental Research Letters 13 (2): e025008. DOI:10.1088/1748-9326/aaa4a4.
Frank S , Havlik P , Soussana J-F, Levesque A, Valin H , Wollenberg E, Kleinwechter U, Fricko O , et al. (2017). Reducing greenhouse gas emissions in agriculture without compromising food security? Environmental Research Letters 12 (10): e105004. DOI:10.1088/1748-9326/aa8c83.
Palazzo A , Vervoort JM, Mason-D’Croz D, Rutting L, Havlik P , Islam S, Bayala J, Valin H , et al. (2017). Linking regional stakeholder scenarios and shared socioeconomic pathways: Quantified West African food and climate futures in a global context. Global Environmental Change 45: 227-242. DOI:10.1016/j.gloenvcha.2016.12.002.
Popp A, Calvin K, Fujimori S, Havlik P , Humpenöder F, Stehfest E, Bodirsky BL, Dietrich JP, et al. (2017). Land-use futures in the shared socio-economic pathways. Global Environmental Change 42: 331-345. DOI:10.1016/j.gloenvcha.2016.10.002.
Obersteiner M , Walsh B , Frank S , Havlik P , Cantele M, Liu J, Palazzo A , Herrero M, et al. (2016). Assessing the land resource-food price nexus of the Sustainable Development Goals. Science Advances 2 (9): e1501499. DOI:10.1126/sciadv.1501499.
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