Abstract
Conservation policies often need to integrate scientific predictions with ethical considerations. However, different normative ethical systems at the root of conservation approaches often support different decisions, and the moral stances of stakeholders are influenced by diverse societal values and perceptions. This creates the potential for dilemmas and conflicts. In the present article, we adapt the well-known trolley problem thought experiment to a conservation context. Exploring variations in how the problem is framed enables us to highlight key concepts that need to be considered in decision-making (uncertainty; asymmetry in numbers, victims, and impacts; temporal and spatial asymmetry; causal relationships and stakeholder involvement). We argue that the trolley problem offers a simplified but flexible framework to understand and predict the factors underlying differences in moral stances across diverse conservation issues, foster communication, and facilitate informed decision-making in conservation practice.
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 722-736 |
| Seitenumfang | 15 |
| Fachzeitschrift | BioScience |
| Jahrgang | 75 |
| Ausgabenummer | 9 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 1 Sept. 2025 |
Fördermittel
We thank Yves Meinard, Rogelio Luque-Lora, Tina Heger and anonymous reviewers for useful comments on preliminary versions of this article. FE and AS appreciate funding by the Austrian Science Fund FWF (Global Plant Invasions I-5825-B, grant DOI 10.55776/I5825; and P-34688, grant DOI 10.55776/P34688). SB acknowledges funding from the Swiss National Science Foundation through projects no. 31BD30_184114, no. 31003A_179491, and no. IC00I0-231475. SC acknowledges funding by the Swiss National Science Foundation through project no. 310030_215308. JRUW thanks the South African Department of Forestry, Fisheries and the Environment (DFFE) for funding, noting that this publication does not necessarily represent the views or opinions of DFFE or its employees. MG appreciates funding by the Austrian Science Fund FWF (MOTIVATE, pr.no. I 6846-B).
ÖFOS 2012
- 106003 Biodiversitätsforschung