Critical intervention points for European adaptation to cascading climate change impacts

nature climate change Article https://doi.org/10.1038/s41558-025-02455-2 Critical intervention points for European adaptation to cascading climate change impacts Received: 5 March 2025 A list of authors and their affiliations appears at the end of the paper Accepted: 10 September 2025 Published online: xx xx xxxx Check for updates In an interconnected world, climate change impacts can cascade across sectors and regions, creating systemic risks. Here we analyse cascading climate change impacts on the EU, originating from outside the region, and identify critical intervention points for adaptation. Using network analysis, we integrate stakeholder-co-produced impact chains with quantitative data for 102 countries across foreign policy, human security, trade and finance. Our archetypal impact cascade model reveals critical intervention points related to water, livelihoods, agriculture, infrastructure and economy, and violent conflict. Livelihood instability, with violence exacerbating conditions in conflict-prone regions, tends to amplify risks of cascading impacts emerging from low-income countries. High-income countries can trigger cascading impacts through, for example, reduced crop exports. Our findings highlight the importance of policy coherence in addressing interconnected vulnerabilities rather than isolated risks. Thus, agricultural intensification without integrated water management may exacerbate scarcity, whereas safeguarding livelihoods alleviates cascading risks related to forced migration, violent conflict and instability. Cascading climate change impacts are sequences of direct and indirect natural and social effects triggered by initial climate change-related events such as extreme weather1. Fostered by the interconnectedness of natural, human and socio-economic systems, they are characterized by chain reactions that propagate through geographical, sectoral and temporal boundaries. Cascading climate change impacts can induce unforeseen and sometimes far-reaching effects, potentially affecting political and social stability worldwide2–6. A notable example illustrating the complex interplay between climate change and socio-economic stability is the Arab Spring and its cascading impacts on the European Union (EU). Extreme weather caused crop failure at many locations globally in 2010 and 20117. This shortfall in staple food production was further exacerbated by an export ban of grains by Russia, the high demand for biofuel crops and copycat investor behaviour in the financial commodity markets (‘herding’), which drove up crop prices, ultimately leading to a food crisis8,9. Countries heavily reliant on crop imports, already grappling with poverty, inequality, weak governance and a history of conflicts, found themselves particularly e-mail: Nature Climate Change vulnerable to higher food prices7,10. The additional societal pressure, in the context of historical state repression, contributed to the outbreak of conflicts and civil war in the Middle East and North Africa, which in the EU resulted in an increase in refugees and associated political fallout regarding immigration11,12. Despite the wide societal relevance of cascading climate change impacts, and with the exception of a few examples such as the Arab Spring, there is little knowledge on how to study these complex system dynamics in real-world settings. A myriad of dynamics can influence how impacts propagate1,13, and these dynamics do not always follow a unidirectional hierarchical cascade13 but can have feedback loops that amplify or dampen effects13–15. Research on cascading impacts in global socio-economic systems mostly looks at the co-occurrence of impacts across interconnected systems6 or investigates individual systems within impact chains16,17. More detailed analyses exist at the local level as case studies18,19 or sector-specific studies (for an overview see, for example, ref. 6). However, a notable gap concerns the integration of socio-economic data into quantitative models for analysing Article https://doi.org/10.1038/s41558-025-02455-2 Food insecurity and inflation Agriculture Challenges to EU development policies Livelihoods Urbanization Higher temperatures Human mobility Water Drought, floods and storms Variable climatic conditions Extremist groups Infrastructure and economy Violent conflict and unrest State response Challenges to EU security policies Geopolitical tensions EU price shocks Crop exports Food price spikes Equity and asset values, and dividends Financial portfolio losses of EU investors Fig. 1 | Archetypal network of cascading climate change impacts on the EU. The global network of cascading climate change impacts on the EU extracted from 14 impact cascade diagrams that were co-produced with stakeholders from the fields of foreign policy, human security, trade and finance. The figure distinguishes between climate triggers (purple icons), affected system components or process nodes (blue squares) and risks to the EU (green triangles). Propagation channels of impacts (‘edges’) are depicted as red lines. impact transmission in heterogeneous systems. This integration is crucial for advancing our understanding and management of complex, interacting systems17. To address this gap, we analyse networks of cascading climate change impacts across diverse systems and processes, identifying nodes that serve as potential intervention points for adaptation. Among these, we prioritize nodes on the basis of their central position in the network and empirical data for their ability to limit or prevent cascading effects15. We call them ‘critical intervention points for adapting to cascading climate change impacts’ (in short ‘critical intervention points’). In this Article, we focus on impacts originating outside, but potentially propagating into, the EU. To this end, we co-produced potential climate change impact cascades with stakeholders and experts in the fields of foreign policy, trade, human security and finance within and outside the EU, through a structured 4-year process involving ten workshops, supported by desk-based research and simulations. Collaboratively, we developed 14 input impact cascade diagrams, following a conceptual framework1, representing cascading impacts as networks of nodes (components of affected systems or processes) linked by edges (impact propagation channels). Each diagram depicts climate triggers outside the EU leading to cross-sectoral and cross-border impacts that may require EU adaptation responses. Utilizing frequent sub-graph analysis20,21, we derived a single archetypal impact cascade network from the 14 input diagrams, capturing common node–edge patterns. We customize this network for 102 non-EU countries by applying country-specific edge weights based on indicators of country-level climate-related risks, vulnerability as well as natural resource, labour and economic dependencies. The analysis excluded non-EU countries l (...truncated)