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This paper addresses a systemic approach for the study of fishers’ ecological knowledge in order to describe fishers’ ways of knowing and dealing with complexity in ecosystems, and discusses how knowledge is generated through, e.g. apprenticeship, experiential knowledge, and testing of hypotheses. The description and analysis of fishers’ ecological knowledge has been done using the Structure–Dynamics–Functions conceptual framework. Fishers identify 5–50 feeding interactions (Structure), recognize populations’ dynamics over time, and, the impact of external factors (climate change, water quality and overfishing) (Dynamics) and finally, acknowledge different values or services (Functions) of the ecosystem (drinking water and fishing). Knowing about these three main aspects seems to be core knowledge embedded in fishers’ ecological knowledge, which comprises systems thinking. Systems thinking is arguably part of fishers’ professional skills and significant for sustainable natural resource management yet understanding ecosystem complexity is also a cognitive challenge.
Research news | 2018-09-24
New report on the links between environmental tipping points and global investors such as banks and pension funds
Research news | 2018-09-18
Why the concept of stewardship offers a platform for collaboration and dialogue between actors, even with differing perspectives
Research news | 2018-09-14
The world needs a much more ambitious work plan to halt species loss and restore biodiversity. Here are three steps to get there
Research news | 2018-09-13
Digital revolution and market forces poised to drive economic transformation away from fossil fuels, but not without the right policy mix and bold climate leadership
Research news | 2018-09-12
Centre launches new online platform for resilience assessments, representing a major innovation in resilience practice
Research news | 2018-09-06
Water and land governance need to consider effects of distant land-use change, because local land-use decisions are not as local as we have always assumed