Citizen science and natural resource governance: program design for vernal pool policy innovation

Effective natural resource policy depends on knowing what is needed to sustain a resource and building the capacity to identify, develop, and implement flexible policies. This retrospective case study applies resilience concepts to a 16-year citizen science program and vernal pool regulatory development process in Maine, USA. We describe how citizen science improved adaptive capacities for innovative and effective policies to regulate vernal pools. We identified two core program elements that allowed people to act within narrow windows of opportunity for policy transformation, including (1) the simultaneous generation of useful, credible scientific knowledge and construction of networks among diverse institutions, and (2) the formation of diverse leadership that promoted individual and collective abilities to identify problems and propose policy solutions. If citizen science program leaders want to promote social-ecological systems resilience and natural resource policies as outcomes, we recommend they create a system for internal project evaluation, publish scientific studies using citizen science data, pursue resources for program sustainability, and plan for leadership diversity and informal networks to foster adaptive governance.

Anticipating future risk in social-ecological systems using fuzzy cognitive mapping: the case of wildfire in the Chiquitania, Bolivia

Understanding complex social-ecological systems, and anticipating how they may respond to rapid change, requires an approach that incorporates environmental, social, economic, and policy factors, usually in a context of fragmented data availability. We employed fuzzy cognitive mapping (FCM) to integrate these factors in the assessment of future wildfire risk in the Chiquitania region, Bolivia. In this region, dealing with wildfires is becoming increasingly challenging because of reinforcing feedbacks between multiple drivers. We conducted semistructured interviews and constructed different FCMs in focus groups to understand the regional dynamics of wildfire from diverse perspectives. We used FCM modelling to evaluate possible adaptation scenarios in the context of future drier climatic conditions. Scenarios also considered possible failure to respond in time to the emergent risk. This approach proved of great potential to support decision making for risk management. It helped identify key forcing variables and generate insights into potential risks and trade-offs of different strategies. The “Hands-off” scenario resulted in amplified impacts driven by intensifying trends, affecting particularly the agricultural production under drought conditions. The “Fire management” scenario, which adopted a bottom-up approach to improve controlled burning, showed less trade-offs between wildfire risk reduction and production compared with the “Fire suppression” scenario. Findings highlighted the importance of considering strategies that involve all actors who use fire, and the need to nest these strategies for a more systemic approach to manage wildfire risk. The FCM model could be used as a decision-support tool and serve as a “boundary object” to facilitate collaboration and integration of different perceptions of fire in the region. This approach also has the potential to inform decisions in other dynamic frontier landscapes around the world that are facing increased risk of large wildfires.

Innovating at the margins: the System of Rice Intensification in India and transformative social innovation

I explore transformative social innovation in agriculture through a particular case of agroecological innovation, the System of Rice Intensification (SRI) in India. Insights from social innovation theory that emphasize the roles of social movements and the reengagement of vulnerable populations in societal transformation can help reinstate the missing “social” dimension in current discourses on innovation in India. India has a rich and vibrant tradition of social innovation wherein vulnerable communities have engaged in collective experimentation. This is often missed in official or formal accounts. Social innovations such as SRI can help recreate these possibilities for change from outside the mainstream due to newer opportunities that networks present in the twenty-first century. I show how local and international networks led by Civil Society Organizations have reinterpreted and reconstructed game-changing macrotrends in agriculture. This has enabled the articulation and translation of an alternative paradigm for sustainable transitions within agriculture from outside formal research channels. These social innovations, however, encounter stiff opposition from established actors in agricultural research systems. Newer heterogeneous networks, as witnessed in SRI, provide opportunities for researchers within hierarchical research systems to explore, experiment, and create newer norms of engagement with Civil Society Organizations and farmers. I emphasize valuing and embedding diversity of practices and institutions at an early stage to enable systems to be more resilient and adaptable in sustainable transitions.