A Comparative Analysis of Three Modes of Collaborative Learning in Fisheries Governance: Hierarchy, Networks and Community

Abstract

This chapter discusses three different ways of using collaborative learning in fisheries governance, all of which have been applied in the Coasts Under Stress (CUS) project in Canada. The three modes are: hierarchy; networks; and community. The hierarchical mode entails top-down computer modelling techniques, in which the experiential knowledge that is gathered from fishers’ haul data is integrated with scientists’ survey data into management plans. The networks mode entails developing an understanding of complex marine ecosystems by sharing knowledge between individuals and groups interacting in discussions about ecosystem structures and recovery strategies. The community mode entails the involvement of local communities in knowledge sharing. Our finding is that, in whatever mode it occurs, collaborative learning is of inestimable value in improving fisheries governance, especially by removing mutual misunderstandings. But techniques of collaborative learning cost time and money, and governments must be willing to devote the necessary resources to make them work.