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	Provedor de dados AgEcon (17) Autor Tabeau, Andrzej A. (17) van Leeuwen, Myrna (7) Banse, Martin (6) Woltjer, Geert B. (6) van Meijl, Hans (6) Chantreuil, Frederic (3) Salamon, Petra (3) Helming, John F.M. (2) Ledebur, Oliver von (2) Achterbosch, Thom J. (1) Bartova, Lubica (1) Dekkers, Jasper (1) Donnellan, Trevor (1) Dopfer, Dorte D.V. (1) Gaaff, Aris (1) Groeneveld, Rolf A. (1) Hatna, E. (1) Jansson, Torbjorn (1) Junker, Franziska (1) Koole, Boudewijn (1) Mais... Palavra-chave Agricultural and Food Policy (11) Land Economics/Use (4) Resource /Energy Economics and Policy (4) Agribusiness (2) CAP (2) CAP Reform (2) International Relations/Trade (2) Agricultural incomes and production (1) Agricultural markets (1) Agricultural policy (1) Agricultural policy analyses (1) Agricultural sector modelling (1) Animal disease (1) Biodiesel (1) Bioenergy Production (1) Biofuel mandates (1) Biofuel targets (1) Biofuels (1) CGE modeling (1) Community/Rural/Urban Development (1) Mais... Tipo do documento Conference Paper or Presentation (14) Journal Article (1) Presentation (1) Report (1) Ano 2012 (1) 2011 (3) 2010 (2) 2009 (1) 2008 (6) 2006 (1) 2005 (2) 2002 (1) Mais... País United States (17) Idioma Inglês (17)		Registro completo Provedor de dados:  AgEcon País:  United States Título:  Assessing spatial uncertainties of land allocation using the scenario approach and sensitivity analysis Autores:  Tabeau, Andrzej A. Hatna, E. Verburg, Peter H. Data:  2010-10-22 Ano:  2010 Palavras-chave:  Spatial uncertainty Scenario approach Sensitivity analysis. Agribusiness Agricultural and Food Policy Community/Rural/Urban Development Food Consumption/Nutrition/Food Safety Labor and Human Capital Resumo:  The paper assess uncertainty of future spatial allocation of agricultural land in Europe. To assess the possible future development of agricultural production and land for the period 2000 – 2030, two contrasting scenarios are constructed. The scenarios storylines lead to different measurable assumptions concerning scenario specific drivers (variables) and parameters. Many of them are estimations and thus include a certain level of uncertainty regarding their true values. This leads to uncertainty of the scenario outcomes. In this study we use sensitivity analysis to estimate the uncertainty of agricultural land use. Tipo:  Conference Paper or Presentation Idioma:  Inglês Identificador:  http://purl.umn.edu/95235 Relação:  European Association of Agricultural Economists>116th Seminar, October 27-30, 2010, Parma, Italy Formato:  16 Fechar

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