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EDITORIAL article

Front. Clim., 22 November 2023
Sec. Climate Risk Management
This article is part of the Research Topic New Approaches to Local Climate Change Risk Analysis View all 12 articles

Editorial: New approaches to local climate change risk analysis

  • 1Western Norway Research Institute, Sogndal, Norway
  • 2Stockholm Environment Institute (SEI), Stockholm, Sweden
  • 3Wageningen University and Research Wageningen, Wageningen, Netherlands

This special Research Topic presents results from the project ≪Unpacking climate impact chains: A new generation of action- and user-oriented climate change risk assessments≫ (UNCHAIN) consisting of 11 local cases in seven European countries (cf. Figure 1). The overall objective of the UNCHAIN project was to improve climate change risk assessment frameworks aimed at informed decision-making and adaptation action. The research approach was based on the existing concepts of Impact Chain (Fritzsche et al., 2014) and insights from practices on the co-production of knowledge (Dannevig and Aall, 2015).

FIGURE 1
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Figure 1. The geographical and thematic distribution of UNCHAIN case studies (Petutschnig et al.).

Despite the increasing sophistication of climate projections, their translation into adaptation decisions and actions is often not optimal (Klein and Juhola, 2014). The primary barrier is that climate information providers frequently lack a full understanding of the contexts in which the decisions they aim to inform are being made (McNie, 2007; Klein and Juhola, 2014). Even when climate information is available, barriers to its accessibility and effective utilization in decision-making persist, a phenomenon often referred to as the “usability gap” (Lemos et al., 2012). The prevailing inability of existing climate information to catalyze the necessary policy and action (Daniels et al., 2020) has spurred a growing body of scholarship on how scientific knowledge production should be conducted to better inform policymaking and facilitate climate change action (Gerger Swartling et al., 2019). A fundamental lesson from this body of work underscores the importance of how climate change knowledge is generated, communicated, translated, and customized to align with the requirements of users (Chiputwa et al., 2020). While substantial efforts have been dedicated to producing usable climate information for adaptation and other interconnected human-environmental issues, climate services have often been skewed toward a supply-based perspective (Lourenço et al., 2015). To bridge the current usability gap (Lemos et al., 2012; Vincent et al., 2020), future models and platforms for a science-user interface on climate change risk and adaptation must mirror the complexity of real-world needs and situations faced by policymakers and practitioners vested with the authority to make policy decisions and act (Daniels et al., 2020). This necessitates a heightened focus on interaction, co-ownership, and a recognition of the dynamics of power in researcher-politics-community relationships, alongside strategies to surmount these challenges, thereby empowering all involved stakeholders to drive effective action toward a more climate resilient future.

The UNCHAIN cases highlight five research innovations presented in the project plan for UNCHAIN: (1) Societal transformation: testing approaches to capture both short and long-term climate change risk and adaptation; (2) Co-production: integrating participatory methods into impact modeling and adaptation assessment; (3) Incorporating societal trends into scenario analysis: accounting for socioeconomic developments as well as climate projections in addressing societal vulnerabilities and adaptation options; (4) Addressing uncertainties: combining qualitative and quantitative methods of impact assessment to test the Impact Chains approach; and (5) Transboundary climate risks: Expanding the logic of the impact chains approach to encompass transboundary climate risks and to link adaptation and mitigation response. Below we summarize the 11 articles of this Research Topic.

An increasing number of countries are recognizing the importance of addressing transboundary climate risks in their national adaptation policies. Aall et al. examines the potential for sub-national levels of governance addressing such risks in three case studies: Paris, France, focusing on issues related to migration and integration; Klepp, Norway, centered on agriculture and livestock production; and the river harbors in the Upper Rhine region of France, addressing concerns related to freight transportation and river regulation.

Sun and sea tourism play a pivotal role in the economies of southern European countries. This economic sector faces significant threats from climate change, including anticipated challenges such as the depletion of beaches, diminished thermal comfort, water scarcity, and extreme weather events, among other consequences. Agulles et al. illustrate an approach to evaluating climate-related risks affecting sun and sea tourism, using the case study of Mallorca.

There is a growing recognition that effective climate risk assessments greatly benefit from well-structured processes of knowledge co-production that actively involve key stakeholders and scientists. André et al. presents an improved methodology for co-producing climate services to support risk-informed decision-making and adaptation actions.

It's widely acknowledged by academia, funding agencies, and decision-makers that involving stakeholders in co-producing knowledge is essential for ensuring effective decision support. Englund, André et al. presents a Research Topic of methodological guidelines to assess co-produced climate services effectively.

When evaluating flood risk, it is crucial to extend the analysis beyond its climatic and technical aspects to encompass its differentiated impact on society. Englund, Vieira Passos et al. offers a practical example of how to quantify and map social vulnerability at a sub-municipal level in Sweden, specifically within Halmstad Municipality.

In the article titled “Rhine low water crisis: from individual adaptation possibilities to strategic pathways,” Gobert and Rudolf discusses the unprecedented low water crisis that gripped the Rhine transport sector in 2018, rendering large cargo vessels incapable of navigating certain segments of the river. This crisis severely disrupted inland waterway transport operations.

As the climate crisis accelerates, the resilience of Europe's aging critical infrastructure systems becomes an increasingly focal concern. Lückerath et al. introduces an innovative approach for assessing the climate vulnerability and risk within value applied in a case study set in a German metropolitan area situated along the Rhine River.

As the rail sector grapples with the unprecedented challenges posed by climate variability and change, there is a growing emphasis on generating pertinent climate data and information. Attoh et al. analyses the nature of climate risk information services required to support the rail sector's adaptation needs.

Contemporary scientific discussions surrounding the evaluation of loss and damage resulting from climate change predominantly center on quantifiable factors. However, the spectrum of potential harm caused by climate change extends far beyond these tangible aspects, especially in the context of residual risks that surpass the limits of adaptation. Menk et al. proposes an approach for assessing the risk of loss and damage from climate change.

The use of composite indices is prevalent across various fields of knowledge. However, a recurring challenge associated with these indices is how to incorporate uncertain knowledge into their construction. Melo-Aguilar et al. propose the utilization of a probabilistic framework which enables the integration of uncertainty considerations into the computation of composite indicators.

The last contribution brings together insights across all UNCHAIN-cases and discusses advancements in the methodological toolset used in Impact Chain-based climate risk and vulnerability assessments (CRVA), and new application fields (Petutschnig et al.). The authors propose several advancements in the stakeholder engagement process, including methods to capture dynamics between risk factors, resolve contradictory worldviews of participants, uncover hidden vulnerabilities, use scenario-planning techniques, and retain consistency between Impact Chains across policy scales. Furthermore, the authors examine IC-based CRVAs' applicability to address transboundary climate risks and climate risks for industry stakeholders. They conclude that the modular structure of IC-based CRVA enabled the integration of various methodological advancements from different scientific disciplines and that, even after a decade in use, the method still offers possibilities to further its potential to understand and assess complex climate risks.

The insights garnered from the UNCHAIN project offer a solid foundation for proposing the broad implementation and ongoing refinement of the Impact Chain-based approach. This approach aims to streamline existing climate risk assessment strategies across EU member states, various levels of governance, and sectors. Furthermore, it seeks to enhance cross-border collaboration and the sharing of knowledge.

By adopting this approach, Europe can speed up the process of achieving more effective adaptation. It achieves this by enhancing comparability between countries and regions, facilitating the transfer of knowledge and best practices, reducing ambiguity related to terminology and methodology, and fostering knowledge exchange and collaborative learning.

Author contributions

CA: Funding acquisition, Project administration, Writing – original draft, Writing – review & editing. ÅG: Project administration, Writing – review & editing. EA: Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by the UNCHAIN: Unpacking Climate Impact Chains was funded through the EU funding mechanisms Joint Programming Initiative (JPI) and Assessment of Cross (X)-sectoral climate impacts and pathways for Sustainable transformation (AXIS), with support from the EU (Grant number: 776608). All partners are granted financial support through their national funding agency: FFG (AT/IT), FORMAS (SE), DLR/BMBF (DE, grant number FKZ 01LS1908B), AEI (ES), NOW (NL), ANR (FR), and RCN (NO) with co-funding from H2020.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Chiputwa, B., Wainaina, P., Nakelse, T., Makui, P., Zougmoré, R. B., Ndiaye, O., et al. (2020). Transforming climate science into usable services: the effectiveness of co-production in promoting uptake of climate information by smallholder farmers in Senegal. Clim. Serv. 20, 100203. doi: 10.1016/j.cliser.2020.100203

CrossRef Full Text | Google Scholar

Daniels, E., Bharwani, S., Gerger Swartling, Å., Vulturius, G., and Brandon, K. (2020). Refocusing the climate services lens: introducing a framework for co-designing “transdisciplinary knowledge integration processes” to build climate resilience. Clim. Serv. 19, 100181. doi: 10.1016/j.cliser.2020.100181

CrossRef Full Text | Google Scholar

Dannevig, H., and Aall, C. (2015). The regional level as boundary organization? An analysis of climate change adaptation governance in Norway. Environ. Sci. Policy 54, 168–175. doi: 10.1016/j.envsci.2015.07.001

CrossRef Full Text | Google Scholar

Fritzsche, K., Schneiderbauer, S., Bubeck, P., Kienberger, S., Buth, M., Zebisch, M., et al. (2014). The Vulnerability Sourcebook. Concept and Guidelines for Standardized Vulnerability Assessments. Bonn: GIZ

Google Scholar

Gerger Swartling, Å., Tenggren, S., André, K., and Olsson, O. (2019). Joint knowledge production for improved climate services: insights from the Swedish forestry sector. Environ. Policy Gov. 29, 97–106. doi: 10.1002/eet.1833

CrossRef Full Text | Google Scholar

Klein, R. J. T., and Juhola, S. (2014). A framework for Nordic actor-oriented climate adaptation research. Environ. Sci. Policy 40, 101–115. doi: 10.1016/j.envsci.2014.01.011

CrossRef Full Text | Google Scholar

Lemos, M., Kirchhoff, C., and Ramprasad, V. (2012). Narrowing the climate information usability gap. Nat. Clim Change 2, 789–794. doi: 10.1038/nclimate1614

CrossRef Full Text | Google Scholar

Lourenço, T. C., Swart, R., Goosen, H., and Street, R. (2015). The rise of demand-driven climate services. Nat. Clim. Change 6, 13–14 doi: 10.1038/nclimate2836

CrossRef Full Text | Google Scholar

McNie, E. C. (2007). Reconciling the supply of scientific information with user demands: an analysis of the problem and review of the literature. Environ. Sci. Policy 10, 17–38. doi: 10.1016/j.envsci.2006.10.004

CrossRef Full Text | Google Scholar

Vincent, K., Conway, D., Dougill, A. J., Pardoe, J., Archer, E., Bhave, A. G., et al. (2020). Re-balancing climate services to inform climate-resilient planning – a conceptual framework and illustrations from sub-Saharan Africa. Clim. Risk Manage. 29, 100242. doi: 10.1016/j.crm.2020.100242

CrossRef Full Text | Google Scholar

Keywords: climate change, climate vulnerability analysis, climate risk, climate adaptation, climate adaptation and mitigation

Citation: Aall C, Gerger Swartling Å and Attoh EMNAN (2023) Editorial: New approaches to local climate change risk analysis. Front. Clim. 5:1298779. doi: 10.3389/fclim.2023.1298779

Received: 22 September 2023; Accepted: 06 November 2023;
Published: 22 November 2023.

Edited and reviewed by: Sirkku Juhola, University of Helsinki, Finland

Copyright © 2023 Aall, Gerger Swartling and Attoh. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Carlo Aall, caa@vestforsk.no

Present address: Emmanuel M.N.A.N. Attoh, International Water Management Institute, Battaramulla, Sri Lanka

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.