Climate Change Impact Chains: A Review of Applications, Challenges, and Opportunities for Climate Risk and Vulnerability Assessments (D2.2)
Creators
- 1. Department of Geoinformatics, Paris Lodron University of Salzburg, Salzburg, Austria; Christian Doppler Laboratory for Geospatial and EO-Based Humanitarian Technologies, Department of Geoinformatics, University of Salzburg, Salzburg, Austria
- 2. Institute for Earth Observation, Eurac Research, Bolzano, Italy; Institute for Environment and Human Security, United Nations University, Bonn, Germany
- 3. Fraunhofer Institute for Intelligent Analysis and Information Systems, Sankt Augustin, Germany
- 4. Institute for Earth Observation, Eurac Research, Bolzano, Italy
- 5. Department of Geoinformatics, Paris Lodron University of Salzburg, Salzburg, Austria; Zentralanstalt f ¨ur Meteorologie und Geodynamik, Vienna, Austria
Description
Shifting from effect-oriented toward cause-oriented and systemic approaches in sustainable climate change
adaptation requires a solid understanding of the climate-related and societal causes behind climate risks. Thus, capturing,
systemizing, and prioritizing factors contributing to climate risks are essential for developing cause-oriented climate risk
and vulnerability assessments (CRVA). Impact chains (IC) are conceptual models used to capture hazard, vulnerability,
and exposure factors that lead to a specific risk. IC modeling includes a participatory stakeholder phase and an operational
quantification phase. Although ICs are widely implemented to systematically capture risk processes, they still show methodological
gaps concerning, for example, the integration of dynamic feedback or balanced stakeholder involvement. Such
gaps usually only become apparent in practical applications, and there is currently no systematic perspective on common
challenges and methodological needs. Therefore, we reviewed 47 articles applying IC and similar CRVA methods that consider
the cause–effect dynamics governing risk. We provide an overview of common challenges and opportunities as a
roadmap for future improvements. We conclude that IC should move from a linear-like to an impact web–like representation
of risk to integrate cause–effect dynamics. Qualitative approaches are based on significant stakeholder involvement to
capture expert-, place-, and context-specific knowledge. The integration of IC into quantifiable, executable models is
still highly underexplored because of a limited understanding of systems, data, evaluation options, and other uncertainties.
Ultimately, using IC to capture the underlying complex processes behind risk supports effective, long-term, and sustainable
climate change adaptation.
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D2.2_Climate Change Impact Chains A Review of Applications, Challenges, and Opportunities for Climate Risk and Vulnerability Assessments.pdf
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