<p>This study investigates how weather reports construct agriculture discourse through language. It focuses on how weather discourse frames agriculture damage and ecological response. The research analyzes a corpus of 750 weather reports (150 each from CNN, BBC, DW, Aljazeera, and GNN) published from December 1, 2024 to October 30, 2025, with a total of 112,587 tokens. The study uses AntConc (version 4.3.1), a corpus analysis tool, (Anthony, 2024) to extract keywords, collocations, and concordance lines relevant to agriculture. Qualitative analysis was conducted using Stibbe 2021) Stories We Live By framework, and quantitative data were analyzed through AntConc. Findings reveal that war-like metaphors like <i>parched landscapes, string of storms, encroaching desert, hold back, buffer zones, fuel rapid growth, gobble up vegetation, and greening the land</i> dominate across Western news outlets. Narratives follow a predictable disaster–response–outcome structure which promotes episodic crisis framing while underplaying systemic causes (climate change or policy failure). Identity constructions present farmers either as helpless or heroic, while meteorological and governmental institutions are elevated as technocratic saviors. Ideological analysis shows that economic framings often override ecocentric concerns, with plant life viewed predominantly through lenses of yield, loss, and commodity value. Reports from Aljazeera and GNN occasionally diverge from this trend by foregrounding subsistence agriculture, community resilience, and traditional knowledge systems. This presents ecocentric and culturally grounded discourse. The study concludes that weather reporting constitutes a potent genre for shaping public understanding of agricultural risk and protection. It argues for the integration of beneficial discourses that promote ecological resilience, farmer agency, and sustainable land use.</p>

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Ecolinguistic analysis of ecological framing in agricultural weather reports

  • Muhammad Saleem,
  • Naveed Ur Rehman

摘要

This study investigates how weather reports construct agriculture discourse through language. It focuses on how weather discourse frames agriculture damage and ecological response. The research analyzes a corpus of 750 weather reports (150 each from CNN, BBC, DW, Aljazeera, and GNN) published from December 1, 2024 to October 30, 2025, with a total of 112,587 tokens. The study uses AntConc (version 4.3.1), a corpus analysis tool, (Anthony, 2024) to extract keywords, collocations, and concordance lines relevant to agriculture. Qualitative analysis was conducted using Stibbe 2021) Stories We Live By framework, and quantitative data were analyzed through AntConc. Findings reveal that war-like metaphors like parched landscapes, string of storms, encroaching desert, hold back, buffer zones, fuel rapid growth, gobble up vegetation, and greening the land dominate across Western news outlets. Narratives follow a predictable disaster–response–outcome structure which promotes episodic crisis framing while underplaying systemic causes (climate change or policy failure). Identity constructions present farmers either as helpless or heroic, while meteorological and governmental institutions are elevated as technocratic saviors. Ideological analysis shows that economic framings often override ecocentric concerns, with plant life viewed predominantly through lenses of yield, loss, and commodity value. Reports from Aljazeera and GNN occasionally diverge from this trend by foregrounding subsistence agriculture, community resilience, and traditional knowledge systems. This presents ecocentric and culturally grounded discourse. The study concludes that weather reporting constitutes a potent genre for shaping public understanding of agricultural risk and protection. It argues for the integration of beneficial discourses that promote ecological resilience, farmer agency, and sustainable land use.