Effects of climate change in Europe: Results from the PESETA study

Cı́scar, Juan Carlos; Soria, Antonio; Iglesias, Ana; Garrote, Luís; Pye, Stephen R.; Horrocks, Lisa; Watkis, P; Nicholls, Robert J.; Roson, Roberto; Bosello, Francesco; Feyen, Luc; Dankers, Rutger; Moreno, A.; Amelung, Bas; Labeaga, José M.; Labandeira, Xavier; Christensen, Ole; Goodess, Clare; Regemorter, Denise Van

doi:10.1088/1755-1307/6/32/322002

Cited by 6 publications

(11 citation statements)

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“…Figure 2 presents an overview of the countries considered in this analysis and the agricultural regional aggregation to which they belong in the PESETA (Projection of Economic impacts of climate change in Sectors of the European Union based on bottom-up Analysis) study (Ciscar et al, 2009). This aggregation is based primarily on broad climatic conditions in the areas in question.…”

Section: Geographical Scopementioning

confidence: 99%

“…In order to quantify future impacts of climate change in the chosen countries and regions in Europe, we use databases from the PESETA project (Ciscar et al, 2009;Ciscar et al, 2011), which integrate a set of high-resolution climate change projections and physical models into an economic modelling framework. The projected climate data used in the PESETA project (Ciscar et al, 2009), which forms the basis of this analysis, is derived from the PRUDENCE project (Christensen and Christensen, 2007), which provided a series of high-resolution climate change scenarios for 2071-2100 for Europe based on two global circulation models (GCM):…”

Section: Climate Change Projectionsmentioning

confidence: 99%

“…The projected climate data used in the PESETA project (Ciscar et al, 2009), which forms the basis of this analysis, is derived from the PRUDENCE project (Christensen and Christensen, 2007), which provided a series of high-resolution climate change scenarios for 2071-2100 for Europe based on two global circulation models (GCM):…”

Section: Climate Change Projectionsmentioning

confidence: 99%

“…For the assessment of future changes in crop productivity, data from the PESETA Project ARE used (Ciscar et al, 2009) in the DSSAT 1 (Decision Support System for Agrotechnology) model. Based on the statistical relationship between simulated crop responses to a range of climate and management options, crop production functions, are derived and then used to evaluate productivity changes.…”

Section: Biophysical and Economic Impactmentioning

confidence: 99%

“…Based on the statistical relationship between simulated crop responses to a range of climate and management options, crop production functions, are derived and then used to evaluate productivity changes. This analysis uses the previously derived impacts on crop productivity from 109 sites across the seven chosen European countries and aggregates them at country level by averaging the values from these sites for the country in question (Ciscar et al, 2009). One limitation of this approach of averaging the values at national level is that it may hide major regional variations, particularly in larger countries.…”

Section: Biophysical and Economic Impactmentioning

confidence: 99%

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Impactos y capacidad de adaptación como factores determinantes para priorizar la adaptación agrícola al cambio climático en Europa

Schlickenrieder

Quiroga

Diz

et al. 2011

EARN

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ABSTRACT:In the face of likely climate change impacts policy makers at different spatial scales need access to assessment tools that enable informed policy instruments to be designed. Recent scientific advances have facilitated the development of improved climate projections, but it remains to be seen whether these are translated into effective adaptation strategies. This paper uses existing databases on climate impacts on European agriculture and combines them with an assessment of adaptive capacity to develop an interdisciplinary approach for prioritising policies. It proposes a method for identifying relevant policies for different EU countries that are representative of various agroclimatic zones. Our analysis presents a framework for integrating current knowledge of future climate impacts with an understanding of the underlying socio-economic, agricultural and environmental traits that determine a region's capacity for adapting to climate change. KEYWORDS:Adaptation, adaptive capacity, agriculture, climate change. JEL classification: Q18, Q54.Impactos y capacidad de adaptación como factores determinantes para priorizar la adaptación agrícola al cambio climático en Europa RESUMEN: A la hora de afrontar los potenciales impactos del cambio climático, las administraciones encargadas de la toma de decisiones a cualquier escala territorial deben disponer de herramientas de evaluación que permitan el diseño de políticas relevantes. Los últimos avances científicos han permitido el desarrollo de mejores proyecciones climáticas, pero aún está por ver si éstas se acaban traduciendo en estrategias de adaptación efectivas. En el presente trabajo se utilizan bases de datos existentes sobre impactos climáticos en la agricultura europea y se combinan con una evaluación de la capacidad de adaptación para desarrollar un enfoque interdisciplinar para la priorización de políticas. Asimismo, se propone una metodología para la identificación de políticas relevantes para diferentes países de la Unión Europea representativos de distintas zonas agroclimáticas. Nuestro análisis presenta un marco que permite hacer uso de los conocimientos actuales acerca de los futuros impactos del cambio climático teniendo en consideración los factores socio-económicos, agrícolas, y medioambientales subyacentes que determinan la capacidad de una región de adaptarse al cambio climático.PALABRAS CLAVES: Adaptación, capacidad de adaptación, agricultura, cambio climático.Clasificación JEL: Q18, Q54.

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Section: Geographical Scopementioning

confidence: 99%