Natural hazards pose an increasing threat to infrastructures, lives, and livelihoods in alpine regions due to climate change and the growing demand for settlement space. While grey protective structures are commonly deployed to provide immediate safety, their sustainability, and thus protective function, is limited by cost-intensive maintenance. Nature-based solutions (NbS) can alleviate these shortcomings by offering cost-effective, adaptive protection that strengthens over time, making their deployment a key factor in building resilience to climate-induced hazards. This paper introduces a systematic methodology for the strategic deployment of NbS to enhance climate resilience. It integrates a three-level hazard classification system with an expert-led assessment rating 74 NbS against 29 hazards. A subsequent Principal Component Analysis (PCA) synthesises these into six functional groupings based on their shared mitigation characteristics. The core of this framework introduces two key innovations: a novel Mitigation Score and a Hazard Mitigation Profile. Together, they evaluate NbS effectiveness dynamically through the different phases of natural hazards, surpassing traditional static ratings by evaluating NbS performance across the hazard management cycle—from predisposition to post-event recovery. Significant variation in mitigation scoring was observed for individual hazard classes and types. Erosion processes (e.g., sheet, rill, and gully erosion) achieved the highest mitigation scores (1.90), as they can be addressed by many highly effective NbS (21–33 types). Conversely, flood-related hazards, such as fluvial and pluvial floods, showed moderate scores (1.64–1.66) with a balanced mix of mitigative and supportive NbS, while options for mitigating impact floods and coastal floods were far more limited (1.00–1.42). The resulting methodology provides a crucial, practical link between specific climate-related threats and viable, nature-based responses, serving as a robust framework to guide the decisions of planners, engineers, and policymakers. By enabling a more strategic and temporally aware deployment of NbS, our findings inform the development of adaptive management strategies to ensure their long-term effectiveness.

Wind power plants are frequently placed in natural ecosystems, but their impacts on plant communities are rarely considered. Therefore, it is unknown how far potential impacts extend into adjacent vegetation and how long they persist. To address this, we surveyed vegetation at different distances to roads at three wind power plants in Norway that were commissioned 4, 12, and 19 years ago. We then used Grime's CSR strategies to document functional shifts in plant community composition and Ellenberg Indicator Values (EIVs) to identify the abiotic gradients driving these shifts. We found that shifts in plant community composition were related to road distance and time since disturbance. At the youngest site, the proportion of plants with ruderal strategies was significantly increased within 10.4 m of roads, effectively expanding the footprint of roads by more than two‐fold. At the oldest site, this impact was reduced to 2.8 m, suggesting that the original stress‐tolerant communities recovered at a rate of 0.5 m per year. Increased ruderality near roads was associated with plant communities indicating higher nutrient availability and more reactive soils. This study provides novel knowledge regarding the spatial and temporal impact of wind energy development on plant communities. As road construction appears to shift community composition toward ruderal dominance by increasing nutrient availability, we recommend keeping road‐ and construction areas to a minimum. Overall, this can reduce the footprint of wind power plants and ensure that the transition to renewable energy does not come at the expense of ecosystems.