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

Author

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  • 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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    File URL: http://www.feem.it/userfiles/attach/2012741033394NDL2012-046.pdf
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    Cited by:

    1. 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.
    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;Western Agricultural 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. 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.
    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.

    More about this item

    Keywords

    Land; Land-Use Change Modelling; Agriculture; Forestry;

    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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