Communication, trust and leadership in co-managing biodiversity: A network analysis to understand social drivers shaping a common narrative.

Environmental co-management has been advocated and applied in diverse contexts as an integrative and inclusive approach to make biodiversity conservation more effective and contextual. Co-management however requires the actors involved to overcome tacit boundaries and reconcile different viewpoints to reach a shared understanding on the environmental problem and envisioned solution(s). We depart from the assumption that a common narrative can serve as a base for a shared understanding and analyze what types of actor relations in co-management influence the emergence of a common narrative. Empirical data is collected using a mixed-method case study design. We apply the idea of narrative congruence, which relates to the similarity of narrations that actors tell, to investigate the effects of the types of relationships between two actors as well as specific leadership roles using an Exponential Random Graph Model. We find that frequent interaction between two actors and a trusted leader with many reciprocal trust ties to be important drivers to support the emergence of narrative congruence ties. Connecting leaders, i.e. actors in brokering positions, show a statistically significant negative correlation with narrative congruence ties. The results suggest that a common narrative tends to emerge in sub-groups around a highly trusted leader, in which actors talk frequently to each other. A brokering leader, however, seems to face strong difficulties of forming narrative congruence ties with others, although such brokers may play central roles in the co-design of common narratives to form the basis for motivating collective action in co-management. Lastly, we discuss the importance of common narratives and how leaders can better succeed in co-designing these in environmental co-management approaches.

COSMOplex: self-consistent simulation of self-organizing inhomogeneous systems based on COSMO-RS.

During the past 20 years, the efficient combination of quantum chemical calculations with statistical thermodynamics by the COSMO-RS method has become an important alternative to force-field based simulations for the accurate prediction of free energies of molecules in liquid systems. While it was originally restricted to homogeneous liquids, it later has been extended to the prediction of the free energy of molecules in inhomogeneous systems such as micelles, biomembranes, or liquid interfaces, but these calculations were based on external input about the structure of the inhomogeneous system. Here we report the rigorous extension of COSMO-RS to a self-consistent prediction of the structure and the free energies of molecules in self-organizing inhomogeneous systems. This extends the application range to many new areas, such as the prediction of micellar structures and critical micelle concentrations, finite loading effects in micelles and biomembranes, the free energies and structure of liquid interfaces, microemulsions, and many more related topics, which often are of great practical importance.