Biased Perception of Macroecological Findings Triggered by the IPCC—The Example of Wildfires DOI Open Access
Carsten Hobohm, Volker Müller‐Benedict

Sustainability, Год журнала: 2024, Номер 17(1), С. 134 - 134

Опубликована: Дек. 27, 2024

Global change and disturbance ecology, including the risks benefits of wildfires for humans, sustainability ecosystems biodiversity, is a current research topic in applied science. Fires their impacts are often considered context climate change, carbon dioxide emissions air pollution. Despite significant decline at global scale recent decades (cf. Wildfire Information System (GWIS)), it widespread conviction that burned area increasing due to warming. In an attempt identify how this discrepancy has arisen, we analysed IPCC reports from 2018–2023 via text mining word frequency analyses compared considerations about fire weather with findings ecology public information on internet. Both negativity bias repetition were identified. Numerous examples disasters models indicating increase composed alarming messages. Examples decreasing much less frequently communicated. Important facts ignored, especially summaries policymakers. Measured against fire-ecological conditions nature, trends exaggerated. We therefore call comprising differentiated reflection ecological processes future.

Язык: Английский

Biased Perception of Macroecological Findings Triggered by the IPCC—The Example of Wildfires DOI Open Access
Carsten Hobohm, Volker Müller‐Benedict

Sustainability, Год журнала: 2024, Номер 17(1), С. 134 - 134

Опубликована: Дек. 27, 2024

Global change and disturbance ecology, including the risks benefits of wildfires for humans, sustainability ecosystems biodiversity, is a current research topic in applied science. Fires their impacts are often considered context climate change, carbon dioxide emissions air pollution. Despite significant decline at global scale recent decades (cf. Wildfire Information System (GWIS)), it widespread conviction that burned area increasing due to warming. In an attempt identify how this discrepancy has arisen, we analysed IPCC reports from 2018–2023 via text mining word frequency analyses compared considerations about fire weather with findings ecology public information on internet. Both negativity bias repetition were identified. Numerous examples disasters models indicating increase composed alarming messages. Examples decreasing much less frequently communicated. Important facts ignored, especially summaries policymakers. Measured against fire-ecological conditions nature, trends exaggerated. We therefore call comprising differentiated reflection ecological processes future.

Язык: Английский

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