| Literature DB >> 30744079 |
Peter Coals1,2, Dawn Burnham3, Andrew Loveridge4, David W Macdonald5, Michael 't Sas-Rolfes6,7, Vivienne L Williams8,9, John A Vucetich10.
Abstract
Conservation and natural resource management are increasingly attending the ethical elements of public decisions. Ethical considerations are challenging, in part, because they typically require accounting for the moral consideration of various human and nonhuman forms of life, whose interests sometimes conflict (or seem to conflict). A valuable tool for such evaluations is the formal analysis of ethical arguments. An ethical argument is a collection of premises, logically interrelated, to yield a conclusion that can be expressed in the form, "We ought to…" According to the rules of logic, a conclusion is supported by an argument if all its premises are true or appropriate and when it contains no mistaken inferences. We showed how the formal analysis of ethical arguments can be used to engage stakeholders and decision-makers in decision-making processes. We summarised the method with ten specific guidelines that would be applicable to any case. We illustrated the technique using a case study focused on captive-bred lions, the skeletons of which form part of an international trade to supply traditional medicine markets in Southeast Asia with felid bones. As a matter of public policy, the practice is a complicated nexus of concerns for entrepreneurial freedom, wildlife conservation, and the fair treatment of animals.Entities:
Keywords: Panthera leo; captive lion breeding; captive lion hunting; conservation ethics; cultural value; intrinsic value; traditional medicine; wildlife trade
Year: 2019 PMID: 30744079 PMCID: PMC6406519 DOI: 10.3390/ani9020052
Source DB: PubMed Journal: Animals (Basel) ISSN: 2076-2615 Impact factor: 2.752
The analysis developed here—while motivated by an interest to evaluate the appropriateness of lion farming—leads to the identification of general lessons of value to any ethical analysis.
| Lesson | Description |
|---|---|
| 1 ( | A common misconception is that evaluating ethical arguments necessarily requires evaluating underlying, thorny and seemingly intractable ethical premises. Often enough, however, an ethical argument fails because one or more empirical premises do not hold—precluding the need to evaluate the ethical premises. |
| 2 ( | Uncertainty about the truth-value of a premise can be built into the verbiage of a premise and subsequently the conclusion. See, for example, the argument represented as P1′, P2, and C1′. |
| 3 ( | Invoking the precautionary principle is of limited value for overcoming an impasse, unless it is accompanied by careful analysis of all the various harms that might be judged as irreparable. |
| 4 ( | Attend not only to the consequences of an action, but also to concerns about whether the consequences can be justified given the proffered means. |
| 5 ( | Express end-goals with sufficient precision. Specificity aids evaluating (1) merit of the end-goal, (2) alternative means of realising the end-goal, and (3) whether the proffered means would lead substantively (or only trivially) to the end-goal. For example, “create new jobs” is a vague end-goal that might be expressed more precisely as “decrease unemployment rate in some region to less than 5%”. |
| 6 ( | Account for the intrinsic value of humans and nonhumans that possess it. Doing so can be difficult, but no more so, in principle, than accounting for the intrinsic value of humans with competing interests. See |
| 7 ( | Competing interests can be adjudicated, at least in part, by evaluating questions like: Is there asymmetry in vitalness of the competing interests, and can either of the competing interests be met by some other means? Another useful guide for adjudication is the veil of ignorance thought experiment. See |
| 8 ( | When the truth-value of a premise is in doubt—especially a normative premise—pull that premise from the argument, treat it as the conclusion to some other unstated argument, build and evaluate that argument. |
| 9 ( | Argument by comparison—while valuable—can also be challenging. |
| 10 ( | Encyclopaedias of logical fallacy can be a great aid to evaluating ethical arguments. |
Science is characterised by the quantitative expression of likelihood. Yet, deductive reasoning is essentially qualitative. This table—used by the Intergovernmental Panel on Climate Change (IPCC) [43]—is a useful bridge between the qualitative and quantitative (Section 4.4).
| Qualitative Expression | Quantitative Expression |
|---|---|
| Virtually certain | 99–100% probability |
| Extremely likely | 95–100% probability |
| Very likely | 90–100% probability |
| Likely | 66–100% probability |
| About as likely as not | 33–66% probability |
| Unlikely | 0–33% probability |
| Very unlikely | 0–10% probability |
| Extremely unlikely | 0–5% probability |
| Exceptionally unlikely | 0–1% probability |
Figure 1Evolution of public decision-making for natural resources. The upward-pointing arrowhead refers to evaluation of the consequences of a policy; the downward-pointing arrowhead refers to revision of policy based on the evaluation. Adapted from Reference [16].