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Published on: July 11, 2025
Biodiversity, conservation biology, and rational choice
1Environmental Studies, Center for Bioethics, New York University, 285 Mercer St. #908, New York, NY 10003, United States.
This study critiques Sahotra Sarkar's views on biodiversity and environmental decision theory. It argues biodiversity metrics can be value-free and questions the exclusion of non-axiomatic decision tools in policy.
Area of Science:
- Environmental philosophy
- Conservation biology
- Decision theory
Background:
- Critically examines Sahotra Sarkar's recent work on biodiversity and decision theory in environmental policy.
- Focuses on the conceptualization of biodiversity and the application of decision theory in environmental decision-making.
Purpose of the Study:
- To analyze Sarkar's emphasis on practical conservation contexts for biodiversity.
- To evaluate the potential for value-free biodiversity metrics.
- To assess the role and limitations of decision theory in integrating science and ethics in environmental policy.
Main Methods:
- Critical discussion of existing literature and philosophical arguments.
- Conceptual analysis of biodiversity metrics and decision theory frameworks.
- Examination of multi-criteria decision rules and their normative foundations.
Main Results:
- Sarkar's focus on conservation practices may limit the conception of biodiversity.
- Biodiversity metrics can potentially be value-free, independent of specific conservation contexts.
- Tension exists between Sarkar's critique of decision theory and its potential for integrating science and ethics.
- Non-axiomatic multi-criteria decision tools may have practical utility despite violating preference transitivity.
Conclusions:
- Biodiversity conceptualization can be broadened beyond specific practical contexts.
- Value-free biodiversity measurement is a plausible goal for scientific inquiry.
- Decision theory's role in environmental policy requires nuanced evaluation, considering both axiomatic and non-axiomatic approaches.
- Further investigation is needed on the contextual application of decision tools that may not adhere to strict normative requirements.
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