EconStor >
Fondazione Eni Enrico Mattei (FEEM), Mailand >
FEEM Working Papers, Fondazione Eni Enrico Mattei  >

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10419/59742
  
Title:Modelling land use, land-use change, and forestry in climate change: A review of major approaches PDF Logo
Authors:Michetti, Melania
Issue Date:2012
Series/Report no.:Nota di lavoro, Fondazione Eni Enrico Mattei: Climate Change and Sustainable Development 46.2012
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.
Subjects:Land
Land-Use Change Modelling
Agriculture
Forestry
JEL:Q23
Q24
Q51
Q54
Document Type:Working Paper
Appears in Collections:FEEM Working Papers, Fondazione Eni Enrico Mattei

Files in This Item:
File Description SizeFormat
718936183.pdf1.46 MBAdobe PDF
No. of Downloads: Counter Stats
Download bibliographical data as: BibTeX
Share on:http://hdl.handle.net/10419/59742

Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.