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Conceptualizing Human-Nature Relationships: Implications of Human Exceptionalist Thinking for Sustainability and Conservation.

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The ways in which people conceptualize the human-nature relationship have significant implications for proenvironmental values and attitudes, sustainable behavior, and environmental policy measures. Human exceptionalism (HE) is one such conceptual… Click to show full abstract

The ways in which people conceptualize the human-nature relationship have significant implications for proenvironmental values and attitudes, sustainable behavior, and environmental policy measures. Human exceptionalism (HE) is one such conceptual framework, involving the belief that humans and human societies exist independently of the ecosystems in which they are embedded, promoting a sharp ontological boundary between humans and the rest of the natural world. In this paper, we introduce HE in more depth, exploring the impact of HE on perceptions of the human-nature relationship, the role of culture in HE, and speculating on the origins of HE. We consider potential implications for environmental decision-making, conservation and environmental science, and promoting proenvironmental behavior. We present empirical evidence on the pervasiveness and consequences of HE in WEIRD (Western, Educated, Industrialized, Rich and Democratic) populations, and potential interventions. Finally, we close with implications of human-exceptionalist thinking on other sustainability-related fields, including conservation practices, nature management, climate change adaptation, and environmental science. Understanding the cognitive and social drivers of this disconnect is vital on a planet now dominated by environmental change, as not only are humans increasingly impacted by natural disasters, but the choices they make can have ever more dire consequences for the sustainability of ecosystems.

Keywords: exceptionalist thinking; human nature; conservation; sustainability; human exceptionalist; implications human

Journal Title: Topics in cognitive science
Year Published: 2023

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