Frontiers in Climate (May 2023)

Research advancements for impact chain based climate risk and vulnerability assessments

  • 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

DOI
https://doi.org/10.3389/fclim.2023.1095631
Journal volume & issue
Vol. 5

Abstract

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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.

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