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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Environmental Sources Policy & Risk Sign in to save

System effects mapping: a tool for promoting collaborative community ecological action

Frontiers in Environmental Science 2024 2 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Virginia Baker, Virginia Baker, Virginia Baker, Mat Walton, Suzanne Manning, Jamie Ataria, Virginia Baker, Jamie Ataria, Carla Gee, Carla Gee, Robin Taua-Gordon, Robin Taua-Gordon

Summary

This paper is not about microplastics — it describes a participatory action research method called System Effects Mapping used to build shared understanding among community stakeholders around urban waterway pollution.

Across Indigenous scholarship and environmental sciences there is a growing recognition that community and stakeholder partnerships must underpin and guide the co-production of knowledge to better resolve the complex socio-political issues responsible for the production, and ultimately the mitigation, of pollution. This article reports work that aimed to support shared understanding within community stakeholder partners as part of two larger environmental science projects to understand and reduce pollution within an urban waterway. Utilizing participatory action research, transdisciplinary and translational ecology approaches, the research used System Effects Mapping to visualize a networked understanding of people’s connections to, and valuing of, their local water ways. This led to discussions on ways that community stakeholders felt they could act to improve the environmental conditions, taking into account how actions may interact. While actions identified were not necessarily novel, the approach supported shared understanding between researchers and community stakeholders and shared investment in the knowledge produced. Systems Effects Mapping was a useful method, with the social network output allowing for deeper exploration of transdisciplinary systems change.

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