Cook Carly N, Redford Kent H, Schwartz Mark W
Monash University's School of Biological Sciences, Melbourne, Australia.
University of New England's Department of Environmental Studies, Biddeford, Maine, United States.
Bioscience. 2023 Nov 16;73(12):885-890. doi: 10.1093/biosci/biad098. eCollection 2023 Dec.
The exponential increase in the availability of genomic data, derived from sequencing thousands of loci or whole genomes, provides exciting new insights into the diversity of life. However, it can also challenge established species concepts and existing management regimes derived from these concepts. Genomic data can help inform decisions about how to manage genetic diversity, but policies that protect identified taxonomic entities can generate conflicting recommendations that create challenges for practitioners. We outline three dimensions of management concern that arise when facing new and potentially conflicting interpretations of genomic data: defining conservation entities, deciding how to manage diversity, and evaluating the risks and benefits of management actions. We highlight the often-underappreciated role of values in influencing management choices made by individuals, scientists, practitioners, the public, and other stakeholders. Such values influence choices through mechanisms such as the Rashomon effect, whereby management decisions are complicated by conflicting perceptions of the causes and consequences of the conservation problem. To illustrate how this might operate, we offer a hypothetical example of this effect for the interpretation of genomic data and its implications for conservation management. Such value-based decisions can be challenged by the rigidity of existing management regimes, making it difficult to achieve the necessary flexibility to match the changing biological understanding. We finish by recommending that both conservation geneticists and practitioners reflect on their respective values, responsibilities, and roles in building a more robust system of species management. This includes embracing the inclusion of stakeholders in decision-making because, as in many cases, there are not objectively defensible right or wrong decisions.
通过对数千个基因座或全基因组进行测序获得的基因组数据呈指数级增长,为生命多样性提供了令人兴奋的新见解。然而,这也可能对既定的物种概念以及基于这些概念的现有管理体制构成挑战。基因组数据有助于为如何管理遗传多样性提供决策依据,但保护已识别分类实体的政策可能会产生相互冲突的建议,给从业者带来挑战。我们概述了在面对基因组数据的新的、可能相互冲突的解释时出现的三个管理关切维度:定义保护实体、决定如何管理多样性以及评估管理行动的风险和益处。我们强调了价值观在影响个人、科学家、从业者、公众和其他利益相关者所做管理选择方面常常未得到充分重视的作用。这些价值观通过诸如罗生门效应等机制影响选择,即管理决策因对保护问题的原因和后果存在相互冲突的认知而变得复杂。为说明这种情况可能如何发生,我们提供了一个关于这种效应在基因组数据解释及其对保护管理的影响方面的假设示例。这种基于价值观的决策可能会受到现有管理体制僵化的挑战,使得难以实现必要的灵活性以适应不断变化的生物学认知。我们最后建议保护遗传学家和从业者都反思各自在构建更强大的物种管理体系中的价值观、责任和角色。这包括在决策过程中接纳利益相关者参与,因为在许多情况下,不存在客观上可辩护的正确或错误决策。