Building a Restorative Agricultural Economy: Insights from a Case Study in Santa Catarina, Brazil.

Agriculture is the most important economic sector and simultaneously the greatest threat to the ecosystem functions on which all complex life depends. It is therefore a logical starting point for developing a restorative economy. We must develop and disseminate agroecosystems capable of providing food security for all, while simultaneously restoring vital ecosystem processes degraded by conventional agriculture. We review 25 years of transdisciplinary work towards this goal on an agroecology project in Santa Rosa de Lima, Santa Catarina, Brazil and distill some key lessons for like-minded efforts. We apply the methods of Participatory Action Research and Post Normal Science to integrate the knowledge, insights and goals of farmers, diverse scientists, agricultural extensionists, and policymakers to design high-biodiversity silvopastoral systems and multi-function riparian forests capable of improving farmer livelihoods, and propose policies to support their adoption by aligning the interests of farmers and society. We explain the science underlying our project and document resulting improvements in farmer livelihoods and ecosystem services. We then examine the socioeconomic obstacles to disseminating our innovations and policies that might overcome them and describe our pragmatic approaches to working with policymakers. We conclude that integrating natural sciences, socio-economic analysis and politics are all necessary yet insufficient to promote the large-scale adoption of restorative agriculture. We contend that building a restorative economy will also require a fundamental extension of humanity's moral values to the rest of nature, and use evolutionary science to support our views. Rather than offering a recipe for successful projects, our take-home message is that developing a restorative agricultural economy in an ever-evolving system is a continuous participatory process with no endpoint. [ABSTRACT FROM AUTHOR]