Research advancements for impact chain based climate risk and vulnerability assessments
As the climate crisis continues to worsen, there is an increasing demand for scientific evidence from Climate Risk and Vulnerability Assessments (CRVA). We present 12 methodological advancements to the Impact Chain-based CRVA (IC-based CRVA) framework, which combines participatory and data-driven ap...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-05-01
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| Series: | Frontiers in Climate |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fclim.2023.1095631/full |
| _version_ | 1827937306046103552 |
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| author | Linda Petutschnig Linda Petutschnig Erich Rome Daniel Lückerath Katharina Milde Åsa Gerger Swartling Carlo Aall Mark Meyer Gabriel Jordá Julie Gobert Julie Gobert Mathilda Englund Karin André Muriel Bour Emmanuel M. N. A. N. Attoh Brigt Dale Kathrin Renner Adeline Cauchy Saskia Reuschel Florence Rudolf Miguel Agulles Camilo Melo-Aguilar Camilo Melo-Aguilar Marc Zebisch Stefan Kienberger Stefan Kienberger |
| author_facet | Linda Petutschnig Linda Petutschnig Erich Rome Daniel Lückerath Katharina Milde Åsa Gerger Swartling Carlo Aall Mark Meyer Gabriel Jordá Julie Gobert Julie Gobert Mathilda Englund Karin André Muriel Bour Emmanuel M. N. A. N. Attoh Brigt Dale Kathrin Renner Adeline Cauchy Saskia Reuschel Florence Rudolf Miguel Agulles Camilo Melo-Aguilar Camilo Melo-Aguilar Marc Zebisch Stefan Kienberger Stefan Kienberger |
| author_sort | Linda Petutschnig |
| collection | DOAJ |
| description | As the climate crisis continues to worsen, there is an increasing demand for scientific evidence from Climate Risk and Vulnerability Assessments (CRVA). We present 12 methodological advancements to the Impact Chain-based CRVA (IC-based CRVA) framework, which combines participatory and data-driven approaches to identify and measure climate risks in complex socio-ecological systems. The advancements improve the framework along five axes, including the existing workflow, stakeholder engagement, uncertainty management, socio-economic scenario modeling, and transboundary climate risk examination. Eleven case studies were conducted and evaluated to produce these advancements. Our paper addresses two key research questions: (a) How can the IC-based CRVA framework be methodologically advanced to produce more accurate and insightful results? and (b) How effectively can the framework be applied in research and policy domains that it was not initially designed for? We propose methodological advancements to capture dynamics between risk factors, to resolve contradictory worldviews, and to maintain consistency between Impact Chains across policy scales. We suggest using scenario-planning techniques and integrating uncertainties via Probability Density Functions and Reverse Geometric Aggregation. Our research examines the applicability of IC-based CRVAs to address transboundary climate risks and integrating macro-economic models to reflect possible future socio-economic exposure. Our findings demonstrate that the modular structure of IC-based CRVA allows for the integration of various methodological advancements, and further advancements are possible to better assess complex climate risks and improve adaptation decision-making. |
| first_indexed | 2024-03-13T08:22:37Z |
| format | Article |
| id | doaj.art-5adf5636917e4c68ae73c7dce41d8e6d |
| institution | Directory Open Access Journal |
| issn | 2624-9553 |
| language | English |
| last_indexed | 2024-03-13T08:22:37Z |
| publishDate | 2023-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Climate |
| spelling | doaj.art-5adf5636917e4c68ae73c7dce41d8e6d2023-05-31T05:08:20ZengFrontiers Media S.A.Frontiers in Climate2624-95532023-05-01510.3389/fclim.2023.10956311095631Research advancements for impact chain based climate risk and vulnerability assessmentsLinda Petutschnig0Linda Petutschnig1Erich Rome2Daniel Lückerath3Katharina Milde4Åsa Gerger Swartling5Carlo Aall6Mark Meyer7Gabriel Jordá8Julie Gobert9Julie Gobert10Mathilda Englund11Karin André12Muriel Bour13Emmanuel M. N. A. N. Attoh14Brigt Dale15Kathrin Renner16Adeline Cauchy17Saskia Reuschel18Florence Rudolf19Miguel Agulles20Camilo Melo-Aguilar21Camilo Melo-Aguilar22Marc Zebisch23Stefan Kienberger24Stefan Kienberger25Department of Geoinformatics—Z_GIS, Paris Lodron University of Salzburg, Salzburg, AustriaChristian Doppler Laboratory for Geospatial and EO-Based Humanitarian Technologies, Department of Geoinformatics—Z_GIS, Paris Lodron University of Salzburg, Salzburg, AustriaAdaptive Reflective Teams, Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, Sankt Augustin, GermanyAdaptive Reflective Teams, Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, Sankt Augustin, GermanyAdaptive Reflective Teams, Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, Sankt Augustin, GermanyStockholm Environment Institute (SEI), Stockholm, SwedenWestern Norway Research Institute, Sogndal, NorwayInstitute of Economic Structures Research (GWS) mbH, Osnabrück, GermanyCentre Oceanográfic de Balears, Instituto Español de Oceanografía (CSIC-IEO), Palma, SpainLEESU, École des Ponts, Marne-la-Vallée, FranceAMUP, INSA de Strasbourg, Strasbourg, FranceStockholm Environment Institute (SEI), Stockholm, SwedenStockholm Environment Institute (SEI), Stockholm, Sweden0Ramboll France SAS, Aix-en-Provence, France1Water Systems and Global Change Group, Wageningen University, Wageningen, Netherlands2Nordland Research Institute, Bodø, Norway3Center for Climate Change and Transformation, Eurac Research, Bolzano, Italy0Ramboll France SAS, Aix-en-Provence, FranceInstitute of Economic Structures Research (GWS) mbH, Osnabrück, GermanyAMUP, INSA de Strasbourg, Strasbourg, FranceCentre Oceanográfic de Balears, Instituto Español de Oceanografía (CSIC-IEO), Palma, SpainCentre Oceanográfic de Balears, Instituto Español de Oceanografía (CSIC-IEO), Palma, Spain4Departamento de Física de la Tierra y Astrofísica, Facultad de Ciencias Físicas, Universidad Complutense de Madrid, Madrid, Spain3Center for Climate Change and Transformation, Eurac Research, Bolzano, ItalyDepartment of Geoinformatics—Z_GIS, Paris Lodron University of Salzburg, Salzburg, Austria5RiskLab – Weather, Climate & Natural Hazards, GeoSphere Austria, Vienna, AustriaAs the climate crisis continues to worsen, there is an increasing demand for scientific evidence from Climate Risk and Vulnerability Assessments (CRVA). We present 12 methodological advancements to the Impact Chain-based CRVA (IC-based CRVA) framework, which combines participatory and data-driven approaches to identify and measure climate risks in complex socio-ecological systems. The advancements improve the framework along five axes, including the existing workflow, stakeholder engagement, uncertainty management, socio-economic scenario modeling, and transboundary climate risk examination. Eleven case studies were conducted and evaluated to produce these advancements. Our paper addresses two key research questions: (a) How can the IC-based CRVA framework be methodologically advanced to produce more accurate and insightful results? and (b) How effectively can the framework be applied in research and policy domains that it was not initially designed for? We propose methodological advancements to capture dynamics between risk factors, to resolve contradictory worldviews, and to maintain consistency between Impact Chains across policy scales. We suggest using scenario-planning techniques and integrating uncertainties via Probability Density Functions and Reverse Geometric Aggregation. Our research examines the applicability of IC-based CRVAs to address transboundary climate risks and integrating macro-economic models to reflect possible future socio-economic exposure. Our findings demonstrate that the modular structure of IC-based CRVA allows for the integration of various methodological advancements, and further advancements are possible to better assess complex climate risks and improve adaptation decision-making.https://www.frontiersin.org/articles/10.3389/fclim.2023.1095631/fullClimate Impact Chainclimate risk and vulnerability assessmentclimate changeknowledge co-productionuncertainty managementtransboundary climate risk |
| spellingShingle | Linda Petutschnig Linda Petutschnig Erich Rome Daniel Lückerath Katharina Milde Åsa Gerger Swartling Carlo Aall Mark Meyer Gabriel Jordá Julie Gobert Julie Gobert Mathilda Englund Karin André Muriel Bour Emmanuel M. N. A. N. Attoh Brigt Dale Kathrin Renner Adeline Cauchy Saskia Reuschel Florence Rudolf Miguel Agulles Camilo Melo-Aguilar Camilo Melo-Aguilar Marc Zebisch Stefan Kienberger Stefan Kienberger Research advancements for impact chain based climate risk and vulnerability assessments Frontiers in Climate Climate Impact Chain climate risk and vulnerability assessment climate change knowledge co-production uncertainty management transboundary climate risk |
| title | Research advancements for impact chain based climate risk and vulnerability assessments |
| title_full | Research advancements for impact chain based climate risk and vulnerability assessments |
| title_fullStr | Research advancements for impact chain based climate risk and vulnerability assessments |
| title_full_unstemmed | Research advancements for impact chain based climate risk and vulnerability assessments |
| title_short | Research advancements for impact chain based climate risk and vulnerability assessments |
| title_sort | research advancements for impact chain based climate risk and vulnerability assessments |
| topic | Climate Impact Chain climate risk and vulnerability assessment climate change knowledge co-production uncertainty management transboundary climate risk |
| url | https://www.frontiersin.org/articles/10.3389/fclim.2023.1095631/full |
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