Conceptualising disaster social capital: what it is,why it matters,and how it can be enhanced

Social capital discourse occupies an important place in disaster studies. Scholars have adopted various inflections of social capital to explain how those with greater amounts of this crucial resource are generally more resilient to disasters and experience speedier recovery. Disaster scholars have also discovered that people typically display altruistic tendencies in the wake of disasters and develop novel networks of mutual support, known as ‘communitas’, which is also seen to build resilience and boost recovery. In this paper, we use the work of Pierre Bourdieu to synthesise these literatures, conceptualising communitas as ‘disaster social capital’. We offer a fleshed-out definition of disaster social capital to distinguish it from regular social capital and discuss the barriers to, and the enablers of, its formation. While primarily a conceptual discussion, we believe that it has practical and policy value for disaster scholars and practitioners interested in inclusive disaster risk reduction as well as full and just recoveries.     

Modelling effects of time-variable exposure to the pyrethroid beta-cyfluthrin on rainbow trout early life stages

Background

Available literature and regulatory studies show that the severity of effects of beta-cyfluthrin (a synthetic pyrethroid) on fish is influenced by the magnitude and duration of exposure. To investigate how the exposure pattern to beta-cyfluthrin (constant vs peak) may influence the response of the fish, we used a mechanistic effect model to predict the survival and growth of the rainbow trout over its early life stages (i.e. egg, alevin and swim-up fry). We parameterized a toxicokinetic–toxicodynamic (TKTD) module in combination with a dynamic energy budget model enabling us to describe uptake and elimination, as well as to predict the threshold concentration for survival and sublethal effects (feeding behaviour and growth). This effect model was calibrated using data from an early life stage experiment where trout was exposed to a constant concentration of cyfluthrin. The model was validated by comparing model predictions to independent data from a pulsed-exposure study with early life stages of rainbow trout.

Results

The co-occurrence of effects on behaviour and growth raised the possibility that these were interrelated, i.e. impairment of feeding behaviour may have led to reduced food intake and slower growth. We, therefore, included ‘effect on feeding’ as mode of action in the TKTD module. At higher concentrations, the constant exposure led to death. The model was able to adequately capture this effect pattern in the calibration. The model was able to adequately predict the response of fish eggs, alevins and swim-up fry, from both the qualitative (response pattern) and quantitative points of view.

Conclusions

Since the model was successfully validated, it can be used to predict survival and growth of early life stages under various realistic time-variable exposure profiles (e.g. profiles from FOCUS surface water modelling) of beta-cyfluthrin.