Unattended gap in local adaptation plans: The quality of vulnerability knowledge in climate risk management
A risk-based management approach to climate change is dominant in local adaptation plans integrating climate-science data with place-based vulnerability assessments. While the former has a regional character and uncertainty is approached by means of probabilities and confidence, the latter is contex...
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Format: | Article |
Language: | English |
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Elsevier
2022-01-01
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Series: | Climate Risk Management |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2212096322000729 |
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author | Anna Marín-Puig Eduard Ariza Antònia Casellas |
author_facet | Anna Marín-Puig Eduard Ariza Antònia Casellas |
author_sort | Anna Marín-Puig |
collection | DOAJ |
description | A risk-based management approach to climate change is dominant in local adaptation plans integrating climate-science data with place-based vulnerability assessments. While the former has a regional character and uncertainty is approached by means of probabilities and confidence, the latter is context-specific, relies on local knowledge and uncertainty is barely assessed. The objective of this paper is to highlight the relevance of uncertainty analysis in the vulnerability assessment of local adaptation plans by enhancing the Knowledge Quality Assessment tool. This analytical proposal differs from technical uncertainty analysis because it addresses both the social context and the process of knowledge production. Next, the advanced uncertainty dimensions have been applied in the vulnerability assessment used in two Mediterranean adaptation plans. Findings show that institutional arrangements and the role of intermediate parties (contextual dimension) shape the knowledge used, produced, and reproduced (substantive dimension) and hamper community-engaged assessments (procedural dimension). Resulting vulnerability representations, which are poorly grounded on context-sensitive knowledge, compromise the relevance of risk-assessment outputs and local agency in adaptation governance. The present research contributes to the academic study of plans evaluation and of the adaptation science-governance interface at the local scale. |
first_indexed | 2024-04-11T06:20:56Z |
format | Article |
id | doaj.art-a27a72eeb7ce4ed59abb52cc74380f25 |
institution | Directory Open Access Journal |
issn | 2212-0963 |
language | English |
last_indexed | 2024-04-11T06:20:56Z |
publishDate | 2022-01-01 |
publisher | Elsevier |
record_format | Article |
series | Climate Risk Management |
spelling | doaj.art-a27a72eeb7ce4ed59abb52cc74380f252022-12-22T04:40:36ZengElsevierClimate Risk Management2212-09632022-01-0138100465Unattended gap in local adaptation plans: The quality of vulnerability knowledge in climate risk managementAnna Marín-Puig0Eduard Ariza1Antònia Casellas2SGR-INTERFASE Group & Department of Geography, Universitat Autònoma de Barcelona, Edifici B-Despatx Carrer de la Fortuna s/n, Campus de la UAB, 08193 Bellaterra, (Cerdanyola del Vallès), Barcelona, Spain; Corresponding author.SGR-INTERFASE Group & Department of Geography, Edifici B-Despatx Carrer de la Fortuna s/n, Campus de la UAB, 08193 Bellaterra, (Cerdanyola del Vallès), Barcelona, SpainSGR-INTERFASE Group & Department of Geography, Edifici B-Despatx Carrer de la Fortuna s/n, Campus de la UAB, 08193 Bellaterra, (Cerdanyola del Vallès), Barcelona, SpainA risk-based management approach to climate change is dominant in local adaptation plans integrating climate-science data with place-based vulnerability assessments. While the former has a regional character and uncertainty is approached by means of probabilities and confidence, the latter is context-specific, relies on local knowledge and uncertainty is barely assessed. The objective of this paper is to highlight the relevance of uncertainty analysis in the vulnerability assessment of local adaptation plans by enhancing the Knowledge Quality Assessment tool. This analytical proposal differs from technical uncertainty analysis because it addresses both the social context and the process of knowledge production. Next, the advanced uncertainty dimensions have been applied in the vulnerability assessment used in two Mediterranean adaptation plans. Findings show that institutional arrangements and the role of intermediate parties (contextual dimension) shape the knowledge used, produced, and reproduced (substantive dimension) and hamper community-engaged assessments (procedural dimension). Resulting vulnerability representations, which are poorly grounded on context-sensitive knowledge, compromise the relevance of risk-assessment outputs and local agency in adaptation governance. The present research contributes to the academic study of plans evaluation and of the adaptation science-governance interface at the local scale.http://www.sciencedirect.com/science/article/pii/S2212096322000729Local climate change adaptation planVulnerabilityKnowledge qualityUncertaintyKnowledge governance |
spellingShingle | Anna Marín-Puig Eduard Ariza Antònia Casellas Unattended gap in local adaptation plans: The quality of vulnerability knowledge in climate risk management Climate Risk Management Local climate change adaptation plan Vulnerability Knowledge quality Uncertainty Knowledge governance |
title | Unattended gap in local adaptation plans: The quality of vulnerability knowledge in climate risk management |
title_full | Unattended gap in local adaptation plans: The quality of vulnerability knowledge in climate risk management |
title_fullStr | Unattended gap in local adaptation plans: The quality of vulnerability knowledge in climate risk management |
title_full_unstemmed | Unattended gap in local adaptation plans: The quality of vulnerability knowledge in climate risk management |
title_short | Unattended gap in local adaptation plans: The quality of vulnerability knowledge in climate risk management |
title_sort | unattended gap in local adaptation plans the quality of vulnerability knowledge in climate risk management |
topic | Local climate change adaptation plan Vulnerability Knowledge quality Uncertainty Knowledge governance |
url | http://www.sciencedirect.com/science/article/pii/S2212096322000729 |
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