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Agriculture and downstream ecosystems in Florida: an analysis of media discourse

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Abstract

Environmental media discourse analysis allows researchers to explore thematic patterns in media coverage of environmental issues through qualitative observations and quantitative coding. In this paper, we review newspaper media coverage in Florida pertaining to the connections between agriculture, other non-point pollution sources, and downstream ecosystem health. We analyzed 930 articles from 2007 through 2019 to determine common patterns in how these issues are covered by Florida media, including patterns in the causes of environmental problems, potential solutions, and stakeholders mentioned. Findings suggest that water quality problems are often framed as unpredictable or episodic rather than chronic, and as requiring (and only potentially being remediated by) state-level centralized technological or infrastructural solutions. Stakeholder relationships are framed as adversarial, with environmentalists and the agricultural sector as opponents. This case study highlights key power dynamics, barriers, and opportunities for better managing and communicating about agricultural land use practices and associated downstream environmental impacts.

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Acknowledgements

We would like to thank Julia Saltzman for her help proofing and formatting this paper for submission.

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This work was supported by the Greenacres Foundation, The Pierce Family Foundation, and the Field School Foundation.

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Julia Wester and Catherine Macdonald conceived of the idea for this research. Julia Wester designed sampling and coding methodology. Dylann Turffs, Kela McEntee, Christian Pankow, Nicholas Perni, and Jacob Jerome collected and analyzed data. Julia Wester and Catherine Macdonald interpreted results and wrote the manuscript. All authors reviewed the manuscript and approved its final version.

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Correspondence to Julia Wester.

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Wester, J., Turffs, D., McEntee, K. et al. Agriculture and downstream ecosystems in Florida: an analysis of media discourse. Environ Sci Pollut Res 30, 3804–3816 (2023). https://doi.org/10.1007/s11356-022-22475-1

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