Inputs zur gesellschaftlichen Entscheidungsfindung

The ABCD conference format (All continents, Balanced gender, low Carbon transport, Diverse backgrounds) mixes live-streamed and pre-recorded talks with in-person ones to reflect a diverse range of viewpoints and reduce the environmental footprint of meetings while also lowering barriers to inclusiveness.

Existing research emphasizes interdependencies between social and ecological systems in climate change adaptation. Ecological systems are often complex and span several issues that are not integrated in the social governance system. In order to increase the fit between social and ecological systems, understanding factors that promote the integration of interdependent issues is crucial. In this paper, we consider 11 issues related to flood risk management, e.g., technical flood protection and habitat loss, which are typically addressed in different policy sectors but exhibit ecological, functional, or geographical interdependencies. We analyze two bases for issue integration: a) political actors connecting issues and, b) the legal framework cross-referencing issues. We propose a network method for systematic comparisons between issue integration based on actors and integration based on laws. For the case of Swiss flood risk management, we find that actor- and law-based issue integration co-vary and might be self-reinforcing. We further find that issue integration mostly rests on laws, although cases exist where actors are the main basis of integration. Results promote our understanding of potential bases for the integration of policy issues, thereby contributing knowledge about adaptive governance capacities in social-ecological systems that buffer the effects of climate change.

The spread of coronavirus disease 2019 (COVID-19) in Italy prompted drastic measures for transmission containment. We examine the effects of these interventions, based on modeling of the unfolding epidemic. We test modeling options of the spatially explicit type, suggested by the wave of infections spreading from the initial foci to the rest of Italy. We estimate parameters of a metacommunity Susceptible-Exposed-Infected–Recovered (SEIR)-like transmission model that includes a network of 107 provinces connected by mobility at high resolution, and the critical contribution of presymptomatic and asymptomatic transmission. We estimate a generalized reproduction number (R₀ = 3.60 [3.49 to 3.84]), the spectral radius of a suitable next-generation matrix that measures the potential spread in the absence of containment interventions. The model includes the implementation of progressive restrictions after the first case confirmed in Italy (February 21, 2020) and runs until March 25, 2020. We account for uncertainty in epidemiological reporting, and time dependence of human mobility matrices and awareness-dependent exposure probabilities. We draw scenarios of different containment measures and their impact. Results suggest that the sequence of restrictions posed to mobility and human-to-human interactions have reduced transmission by 45% (42 to 49%). Averted hospitalizations are measured by running scenarios obtained by selectively relaxing the imposed restrictions and total about 200,000 individuals (as of March 25, 2020). Although a number of assumptions need to be reexamined, like age structure in social mixing patterns and in the distribution of mobility, hospitalization, and fatality, we conclude that verifiable evidence exists to support the planning of emergency measures.