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Modelling Land Use, Land-Use Change, and Forestry in Climate Change: A Review of Major Approaches

Author

Listed:
  • Melania Michetti

    (Fondazione Eni Enrico Mattei (FEEM), Centro Euro-mediterraneo per i Cambiamenti Climatici (CMCC))

Abstract

The rapid development of climate policies and the need to understand the dynamics of climate change have highlighted and shaped the role of land use, land-use change and forestry dynamics (LULUCF), making it an issue of global importance. As a consequence, LULUCF has become a central topic in economic theory and in environmental sciences. The attention is focused on creating and expanding comprehensive global land-use datasets and on improving the modelling strategies allowing for an extensive representation of the land-use system. However, this is a relatively new research field and the development of this challenging process is likely to require greater effort in the years to come. By adopting a straightforward model classification, this paper provides a broad, but detailed, overview of the most representative methods and models developed to date. This summary will guide a critical discussion on relevant methodological aspects related to the global modelling of land use and its changes. An additional focus is placed on the representation of forest-carbon sequestration within climate mitigation, which represents one of the most demanding issues from a modelling perspective.

Suggested Citation

  • Melania Michetti, 2012. "Modelling Land Use, Land-Use Change, and Forestry in Climate Change: A Review of Major Approaches," Working Papers 2012.46, Fondazione Eni Enrico Mattei.
    • Handle: RePEc:fem:femwpa:2012.46
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    Citations

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    Cited by:

    1. Kimhi, A., 2018. "Integrated Micro-Macro Structural Econometric Framework for Assessing Climate-Change Impacts on Agricultural Production and Food Markets," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276972, International Association of Agricultural Economists.
    2. Kan, Iddo & Kimhi, Ayal & Kaminski, Jonathan, 2015. "Climate-Change Impacts on Agriculture and Food Markets: Combining a Micro-Level Structural Land-Use Model and a Market-Level Equilibrium Model," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205128, Agricultural and Applied Economics Association.
    3. Kan, Iddo & Kimhi, Ayal & Kaminski, Jonathan, 2014. "The impact of climate change on agriculture and food prices: combining a micro land use model and a market equilibrium model," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 183024, European Association of Agricultural Economists.
    4. Rodriguez Garcia, V. & Meyfroidt, P. & Gaspart, F., 2018. "Agricultural intensification and land use change: A panel cointegration approach to test induced intensification, land sparing and rebound-effect," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277206, International Association of Agricultural Economists.
    5. Dang, Anh Nguyet & Kawasaki, Akiyuki, 2017. "Integrating biophysical and socio-economic factors for land-use and land-cover change projection in agricultural economic regions," Ecological Modelling, Elsevier, vol. 344(C), pages 29-37.
    6. Nelson B. Villoria & Derek Byerlee & James Stevenson, 2014. "The Effects of Agricultural Technological Progress on Deforestation: What Do We Really Know?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 36(2), pages 211-237.
    7. Kan, Iddo & Reznik, Ami & Kaminski, Jonathan & Kimhi, Ayal, 2023. "The impacts of climate change on cropland allocation, crop production, output prices and social welfare in Israel: A structural econometric framework," Food Policy, Elsevier, vol. 115(C).
    8. Müller-Hansen, Finn & Heitzig, Jobst & Donges, Jonathan & Cardoso, Manoel F. & Dalla-Nora, Eloi L. & Andrade, Pedro R. & Kurths, Jürgen & Thonicke, Kirsten, 2019. "Can intensification of cattle ranching reduce deforestation in the Amazon? Insights from an agent-based social-ecological model," SocArXiv x5q9j, Center for Open Science.
    9. Müller-Hansen, Finn & Heitzig, Jobst & Donges, Jonathan F. & Cardoso, Manoel F. & Dalla-Nora, Eloi L. & Andrade, Pedro & Kurths, Jürgen & Thonicke, Kirsten, 2019. "Can Intensification of Cattle Ranching Reduce Deforestation in the Amazon? Insights From an Agent-based Social-Ecological Model," Ecological Economics, Elsevier, vol. 159(C), pages 198-211.
    10. Chasia, Stanley & Olang, Luke O. & Sitoki, Lewis, 2023. "Modelling of land-use/cover change trajectories in a transboundary catchment of the Sio-Malaba-Malakisi Region in East Africa using the CLUE-s model," Ecological Modelling, Elsevier, vol. 476(C).
    11. Kan, Iddo & Kimhi, Ayal & Kaminski, Jonathan, 2015. "Micro-Macro Impacts of Climate-Change on Agriculture and Food Markets," 2015 Conference, August 9-14, 2015, Milan, Italy 211828, International Association of Agricultural Economists.

    More about this item

    Keywords

    Land; Land-Use Change Modelling; Agriculture; Forestry;
    All these keywords.

    JEL classification:

    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q24 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Land
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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