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Climate risk index for Italy

We describe a climate risk index that has been developed to inform national climate adaptation planning in Italy and that is further elaborated in this paper. The index supports national authorities in designing adaptation policies and plans, guides the initial problem formulation phase, and identif...

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Autores principales: Mysiak, Jaroslav, Torresan, Silvia, Bosello, Francesco, Mistry, Malcolm, Amadio, Mattia, Marzi, Sepehr, Furlan, Elisa, Sperotto, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5938637/
https://www.ncbi.nlm.nih.gov/pubmed/29712797
http://dx.doi.org/10.1098/rsta.2017.0305
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author Mysiak, Jaroslav
Torresan, Silvia
Bosello, Francesco
Mistry, Malcolm
Amadio, Mattia
Marzi, Sepehr
Furlan, Elisa
Sperotto, Anna
author_facet Mysiak, Jaroslav
Torresan, Silvia
Bosello, Francesco
Mistry, Malcolm
Amadio, Mattia
Marzi, Sepehr
Furlan, Elisa
Sperotto, Anna
author_sort Mysiak, Jaroslav
collection PubMed
description We describe a climate risk index that has been developed to inform national climate adaptation planning in Italy and that is further elaborated in this paper. The index supports national authorities in designing adaptation policies and plans, guides the initial problem formulation phase, and identifies administrative areas with higher propensity to being adversely affected by climate change. The index combines (i) climate change-amplified hazards; (ii) high-resolution indicators of exposure of chosen economic, social, natural and built- or manufactured capital (MC) assets and (iii) vulnerability, which comprises both present sensitivity to climate-induced hazards and adaptive capacity. We use standardized anomalies of selected extreme climate indices derived from high-resolution regional climate model simulations of the EURO-CORDEX initiative as proxies of climate change-altered weather and climate-related hazards. The exposure and sensitivity assessment is based on indicators of manufactured, natural, social and economic capital assets exposed to and adversely affected by climate-related hazards. The MC refers to material goods or fixed assets which support the production process (e.g. industrial machines and buildings); Natural Capital comprises natural resources and processes (renewable and non-renewable) producing goods and services for well-being; Social Capital (SC) addressed factors at the individual (people's health, knowledge, skills) and collective (institutional) level (e.g. families, communities, organizations and schools); and Economic Capital (EC) includes owned and traded goods and services. The results of the climate risk analysis are used to rank the subnational administrative and statistical units according to the climate risk challenges, and possibly for financial resource allocation for climate adaptation. This article is part of the theme issue ‘Advances in risk assessment for climate change adaptation policy’.
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spelling pubmed-59386372018-05-08 Climate risk index for Italy Mysiak, Jaroslav Torresan, Silvia Bosello, Francesco Mistry, Malcolm Amadio, Mattia Marzi, Sepehr Furlan, Elisa Sperotto, Anna Philos Trans A Math Phys Eng Sci Articles We describe a climate risk index that has been developed to inform national climate adaptation planning in Italy and that is further elaborated in this paper. The index supports national authorities in designing adaptation policies and plans, guides the initial problem formulation phase, and identifies administrative areas with higher propensity to being adversely affected by climate change. The index combines (i) climate change-amplified hazards; (ii) high-resolution indicators of exposure of chosen economic, social, natural and built- or manufactured capital (MC) assets and (iii) vulnerability, which comprises both present sensitivity to climate-induced hazards and adaptive capacity. We use standardized anomalies of selected extreme climate indices derived from high-resolution regional climate model simulations of the EURO-CORDEX initiative as proxies of climate change-altered weather and climate-related hazards. The exposure and sensitivity assessment is based on indicators of manufactured, natural, social and economic capital assets exposed to and adversely affected by climate-related hazards. The MC refers to material goods or fixed assets which support the production process (e.g. industrial machines and buildings); Natural Capital comprises natural resources and processes (renewable and non-renewable) producing goods and services for well-being; Social Capital (SC) addressed factors at the individual (people's health, knowledge, skills) and collective (institutional) level (e.g. families, communities, organizations and schools); and Economic Capital (EC) includes owned and traded goods and services. The results of the climate risk analysis are used to rank the subnational administrative and statistical units according to the climate risk challenges, and possibly for financial resource allocation for climate adaptation. This article is part of the theme issue ‘Advances in risk assessment for climate change adaptation policy’. The Royal Society Publishing 2018-06-13 2018-04-30 /pmc/articles/PMC5938637/ /pubmed/29712797 http://dx.doi.org/10.1098/rsta.2017.0305 Text en © 2018 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Articles
Mysiak, Jaroslav
Torresan, Silvia
Bosello, Francesco
Mistry, Malcolm
Amadio, Mattia
Marzi, Sepehr
Furlan, Elisa
Sperotto, Anna
Climate risk index for Italy
title Climate risk index for Italy
title_full Climate risk index for Italy
title_fullStr Climate risk index for Italy
title_full_unstemmed Climate risk index for Italy
title_short Climate risk index for Italy
title_sort climate risk index for italy
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5938637/
https://www.ncbi.nlm.nih.gov/pubmed/29712797
http://dx.doi.org/10.1098/rsta.2017.0305
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