2026-10-06T13:34:08Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34073887 2026-10-05T17:53:53Z category_734 category_811 portal_5 item_type_3 month_year_10_2026

<p>Supporting information.</p> Guillermo García Álvarez (25317307) Marleen C. de Ruiter (25317310) Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified larger scale assessments iterative framework aims fill data gaps combining desktop analysis reduce climate risk incorporating local knowledge often limited datasets hazard risk dynamics recent fieldwork experience methods also allow tenerife </ p improve local multi hazard risk local context improve design often aimed xlink "> suggesting nature stakeholder interviews socially equitable scientific modelling research agenda reducing reliance planning ahead methodological silos method complements interdisciplinary collaboration inherent complexities field observations essay explores community realities community acceptance become apparent adaptation strategies <div><p>This essay explores the advantages and limitations of using mixed-methods approaches to improve local multi-hazard risk (MHR) assessment and its inherent complexities. By combining desktop analysis, field observations, questionnaires and stakeholder interviews, we demonstrate how each method complements each other to fill data gaps, improve design of methods such as surveys, and increase the understanding of multi-hazard risk dynamics and challenges that become apparent in a local context. Mixed-methods also allow for bridging the gap between scientific modelling and community realities, while reducing reliance on often limited datasets and standardised (often quantitative) methods that are often aimed at larger scale assessments. This combination of quantitative and qualitative methods is illustrated in a recent fieldwork experience, with the objective of suggesting Nature-based Solutions (NBS) to reduce climate risk for the island of Tenerife. In our research agenda, we emphasize the importance of planning ahead when implementing mixed-methods, interdisciplinary collaboration, understanding the feedback loops across methods and incorporating local knowledge to ensure that the adaptation strategies are both evidence-based and socially equitable. This iterative framework aims to enhance the understanding, feasibility and community acceptance of MHR adaptation strategies.</p></div> 2026-10-05T17:53:51Z Dataset Dataset 10.1371/journal.pclm.0001070.s001 https://figshare.com/articles/dataset/_p_Supporting_information_p_/34073887 CC BY 4.0