Eau et développement

In the last decade, a number of smart city initiatives have flourished around the world. While the literature is ripe with descriptions of those projects and pioneering cities, there is far less systematic research on why some cities are more advanced than others. As single locating entities, cities are posited to have strong geographic rootedness. Hence, spatial and socio-economic context, considered as the main stimulant of organizational innovation, can be particularly important for cities. We investigate 22 Swiss cities with smart city projects and use fuzzy-set Qualitative Comparative Analysis to determine the configuration of conditions that make some cities more advanced than others in their smart city development. Results indicate that a configuration of high share of service sector, presence of research institutions and high urban density is sufficient for the outcome, whereas population size, new residential development and participation to international networks appear as less important. By providing insights into the spatial and socio-economic underpinnings of smart city development, the study contributes to the understanding of the geographies of smart cities.

Wicked problems exceed traditional sectoral and jurisdictional boundaries and involve multiple actors as stakeholders, victims, and culprits. Wicked problems inherently feature uncertainty and knowledge gaps. Science plays a crucial role in generating evidence for solving these problems and contributing to societal transformation. However, researchers may perceive and study problems detached from practitioners' perceptions of the world. We use the example of smallholder pesticide management in Uganda and the three types of knowledge approach, a framework borrowed from transdisciplinary research, to disentangle knowledge gaps. To identify these gaps, we integrated and co-produce knowledge in a two-day participatory workshop applying design thinking. Our results show, that a transition towards safe pesticide management depends on changes in the system, such as a revision and implementation of exiting regulation or professionalization of agro-dealers. Furthermore, this transition is only possible if interventions address target groups beyond the individual farmers (e.g. agro-dealers or district government officials). Compared to existing academic knowledge, co-produced knowledge provides a broader systemic perspective and yields more fine grained insights about potential new pathways. This investigation confirms, that practitioners’ knowledge is more fine-grained and detailed, thus exemplifying how knowledge integration is essential to avoid a gap between what researchers investigate and what practitioners need.

Targeted state intervention is needed to tackle complex environmental problems. However, state intervention faces rejection by some actors because these problems are typically cross-sectoral, multi-actor, and conflictual. To explore why some stakeholders nevertheless favor state intervention as an approach to environmental risk prevention, the study examines the case of pesticide risk prevention in Uganda. Using a mixed-methods approach that combined an online survey and face-to-face interviews, stakeholders were asked about their agreement with different policy instruments. In general, the results indicate strong preferences for state intervention in risk prevention, but these preferences vary across actors and levels. Correlation and regression analysis reveal that high threat perception and agreement with precautionary action are associated with preferences for preventive state intervention. However, external drivers like forum participation and cross-sectoral collaboration do not exhibit the expected effects. Based on these findings, the study suggests how future policy making can be enhanced and clarifies which settings promote state intervention to address complex environmental problems.

Advances in network ecology offer new tools for the sustainable management of agroecosystems. Plants in field margins may be involved in different processes of agronomic importance - indirectly affecting crops by supporting shared pollinators, hosting natural enemies of pests or acting as pest reservoirs. In this work, we explored the use of motifs (patterns of interaction between a subset of species) in agricultural ecological networks incorporating multiple types of trophic interactions to identify plant species with a key role in field margins. We searched for plant species benefiting crops via (1) shared pollinators and (2) supporting parasitoids of crop pests; or (3) negatively affecting crops through attracting pest herbivore species. We focused on determining whether species’ showed consistent affiliation with these roles across the landscape and evaluated the potential of plant species to influence crops indirectly via shared insect partners. To showcase our framework, we used a unique data set of antagonistic and mutualistic interactions recorded in soybean crops and wild plant species in field margins, that despite its limitations (e.g., spanning one growing season) allowed us to test our approach using multiple types of interactions simultaneously. Here, we support the use of motifs in multi-trophic interaction networks in agroecosystems to reveal the role of key plant species in sustaining ecological functions involving crops and other plant species, enhancing the evidence base for management recommendations in the future.