Assessment of climate change impact on viticulture: Economic evaluations and adaptation strategies analysis for the Tuscan wine sector

Climate change is expected to have a significant impact on various economic sectors (IPCC, 2007) but an especially large one on agriculture because animal and crop growth are heavily influenced by weather conditions during their life cycles. In this paper, a multidisciplinary approach is developed that jointly uses economic and bio-climate models to evaluate the impact of climate change on viticulture in Tuscany (central Italy). Then a model is used to evaluate the likelihood of adoption of various adaptation strategies.

[1]  S. Schneider,et al.  Climate Change 2007 Synthesis report , 2008 .

[2]  Matt J. Aitkenhead,et al.  Agricultural census data and land use modelling , 2006, Comput. Environ. Urban Syst..

[3]  K. Mutabazi,et al.  Can farmers’ adaptation to climate change be explained by socio-economic household-level variables? , 2012 .

[4]  Pushpam Kumar Agriculture (Chapter8) in IPCC, 2007: Climate change 2007: Mitigation of Climate Change. Contribution of Working Group III to the Fourth assessment Report of the Intergovernmental Panel on Climate Change , 2007 .

[5]  Marjolein B.A. van Asselt,et al.  Practising the scenario-axes technique , 2006 .

[6]  J. Ditomaso,et al.  Bioclimatic predictions of habitat suitability for the biofuel switchgrass in North America under current and future climate scenarios. , 2010 .

[7]  M. Bindi,et al.  Reproduction of olive tree habitat suitability for global change impact assessment , 2008 .

[8]  I. Bernetti,et al.  Land use change and the multifunctional role of agriculture: a spatial prediction model in an Italian rural area , 2006 .

[9]  Gregory V. Jones,et al.  Impact of climate change on wine production: a global overview and regional assessment in the Douro Valley of Portugal , 2012 .

[10]  W. Adger,et al.  Adaptation to climate change in the context of sustainable development and equity , 2001 .

[11]  S. Orlandini,et al.  Analysis of Italian Wine Quality Using Freely Available Meteorological Information , 2006, American Journal of Enology and Viticulture.

[12]  Audun Jøsang,et al.  A Logic for Uncertain Probabilities , 2001, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[13]  Sandro Sacchelli,et al.  The evaluation of forest crop damages due to climate change. An application of Dempster–Shafer method , 2011 .

[14]  A. Patt,et al.  Adaptive capacity and human cognition: The process of individual adaptation to climate change , 2005 .

[15]  J. Hertin,et al.  Socio-economic scenarios for climate impact assessment , 2000 .

[16]  Audun Jøsang Cumulative and Averaging Fission of Beliefs , 2010, Inf. Fusion.

[17]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[18]  Analysis of maize production in Honduras: Linking census data to environment variables through geographic information systems , 1999 .

[19]  John M. Antle,et al.  Adaptation, Spatial Heterogeneity, and the Vulnerability of Agricultural Systems to Climate Change and CO2 Fertilization: An Integrated Assessment Approach , 2004 .

[20]  R. A. Wilson,et al.  Fine Wine and Terroir: The Geoscience Perspective , 2007 .

[21]  J A Swets,et al.  Measuring the accuracy of diagnostic systems. , 1988, Science.

[22]  M. Trnka,et al.  Impacts and adaptation of European crop production systems to climate change , 2011 .

[23]  M. Bindi,et al.  European winegrowers’ perceptions of climate change impact and options for adaptation , 2009 .

[24]  Jeffrey W. White,et al.  Methodologies for simulating impacts of climate change on crop production , 2011 .