Arbeitspapier

Modelling land use, land-use change, and forestry in climate change: A review of major approaches

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.

Sprache
Englisch

Erschienen in
Series: Nota di Lavoro ; No. 46.2012

Klassifikation
Wirtschaft
Renewable Resources and Conservation: Forestry
Renewable Resources and Conservation: Land
Valuation of Environmental Effects
Climate; Natural Disasters and Their Management; Global Warming
Thema
Land
Land-Use Change Modelling
Agriculture
Forestry

Ereignis
Geistige Schöpfung
(wer)
Michetti, Melania
Ereignis
Veröffentlichung
(wer)
Fondazione Eni Enrico Mattei (FEEM)
(wo)
Milano
(wann)
2012

Handle
Letzte Aktualisierung
10.03.2025, 11:46 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Michetti, Melania
  • Fondazione Eni Enrico Mattei (FEEM)

Entstanden

  • 2012

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