Using Learning and Action Alliances to build capacity for local flood risk management

Learning and Action Alliances (LAAs) are becoming an increasingly popular method for overcoming the challenges associated with participatory forms of governance, where decision making requires collaboration between stakeholders. In flood risk management, LAAs provide a mechanism through which institutional participants can come together, share knowledge, innovate, and devise solutions to ‘wicked’ problems. While the social learning generated at LAAs is now well understood, the mechanism by which this learning is translated into action is less so. In this paper, we argue that in order to maximise the potential for action, LAAs must attend to different elements of capacity building, in order that action can diffuse outwards, from the individual members of the LAA, to their organisations and society beyond. By investigating two UK case study examples, we illustrate how different elements might be utilised in combination, to maximise the potential for longer-term, longer-lasting change. We conclude that the architects of participatory processes, including LAAs, should attend to different elements of capacity building, and consider those best suited to their individual contexts and objectives

Doing flood risk modelling differently: Evaluating the potential for participatory techniques to broaden flood risk management decision‐making

Responsibility for flood risk management (FRM) is increasingly being devolved to a wider set of stakeholders, and effective participation by multiple FRM agencies and communities at risk calls for engagement approaches that supplement and make the best possible use of hydrologic and hydraulic flood modelling. Stakeholder engagement must strike a considered balance between participation ideals and the pragmatic realities of existing mechanisms for flood risk management decision-making. This paper evaluates the potential for using participatory modelling to facilitate engagement and co- production of knowledge by FRM modellers, practitioners and other stakeholders. Participatory modelling offers an approach that is flexible and versatile, yet sufficiently structured that it can support meaningful representation of scientific, empirical and local knowledges in producing outcomes that can readily be integrated into existing procedures for shared decision-making. This paper frames the qualities of participatory modelling useful to FRM, as being accessible, transparent, adaptable, evaluative and holistic. These qualities are used as criteria with which to assess the practical utility of three popular participatory techniques: Bayesian networks, system dynamics and fuzzy cognitive mapping. Case studies are used to illustrate how each technique might benefit FRM options appraisal and decision-making. While each technique has potential, none is ideal, and local contexts will guide selection of which technique is best suited to deliver effective stakeholder participation

Participatory modelling for stakeholder involvement in the development of flood risk management intervention options

Advancing stakeholder participation beyond consultation offers a range of benefits for local flood risk management, particularly as responsibilities are increasingly devolved to local levels. This paper details the design and implementation of a participatory approach to identify intervention options for managing local flood risk. Within this approach, Bayesian networks were used to generate a conceptual model of the local flood risk system, with a particular focus on how different interventions might achieve each of nine participant objectives. The model was co-constructed by flood risk experts and local stakeholders. The study employs a novel evaluative framework, examining both the process and its outcomes (short-term substantive and longer-term social benefits). It concludes that participatory modelling techniques can facilitate the identification of intervention options by a wide range of stakeholders, and prioritise a subset for further investigation. They can help support a broader move towards active stakeholder participation in local flood risk management

Differential metabolic responses in bold and shy sea anemones during a simulated heatwave.

As climate change-induced heatwaves become more common, phenotypic plasticity at multiple levels is a key mitigation strategy by which organisms can optimise selective outcomes. In ectotherms, changes to both metabolism and behaviour can help alleviate thermal stress. Nonetheless, no study in any ectotherm has yet empirically investigated how changing temperatures affect among-individual differences in the associations between these traits. Using the beadlet anemone (Actinia equina), an intertidal species from a thermally heterogeneous environment, we investigated how individual metabolic rates, linked to morphotypic differences in A. equina, and boldness were related across changing temperatures. A crossed-over design and a temporal control was used to test the same individuals at a non-stressful temperature, 13oC, and under a simulated heatwave at 21oC. At each temperature, short-term repeated measurements of routine metabolic rate (RMR) and a single measurement of a repeatable boldness-related behaviour, immersion response-time (IRT), were made. Individual differences, but not morphotypic differences, were highly predictive of metabolic plasticity, and the plasticity of RMR was associated with IRT. At 13oC, shy animals had the highest metabolic rates, while at 21oC this relationship was reversed. Individuals that were bold at 13oC also exhibited the highest metabolic rates at 21oC. Additional metabolic challenges during heatwaves could be detrimental to fitness in bold individuals. Equally, lower metabolic rates at non-stressful temperatures could be necessary for optimal survival as heatwaves become more common. These results provide novel insight into the relationship between metabolic and behavioural plasticity, and its adaptive implications in a changing climate