Abstract Science and knowledge are called to participate in the institutional, political and behavioral changes that are necessary to address biodiversity loss. Knowledge however does not possess direct performative powers, and the relationships between knowledge production and use are complex, as has been documented for multiple issues and by different fields of research. This paper proposes to unpack three dimensions of “decision-making”. By taking the field of ecosystem service assessment and valuation as its main example, the paper discusses and illustrates how this unpacking can help researchers situate themselves in the diversity of decision-making contexts that can exist, and how this can influence the contributions they can make to try and solve biodiversity issues they are involved in. After describing some key characteristics of the “rationalist” vision of decision, it suggests that looking at the temporal continuity of decision-making processes (e.g., a one-time moment versus a continuous and diffuse process), the degree of conflict in a process, and the range of actors involved and their modes of interaction, widely expands the variety of ways that ecosystem service assessment and valuation can be involved in decision-making. The paper uses three case studies to illustrate this variety, and discusses some implications for researchers, both in terms of acknowledging their situatedness and of future research prospects.

中文翻译：

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决策，现在是 3D：探索决策过程的三个维度及其对生物多样性研究的影响

摘要 科学和知识被要求参与解决生物多样性丧失所必需的制度、政治和行为变化。然而，知识不具有直接的表现力，知识生产和使用之间的关系是复杂的，正如针对多个问题和不同研究领域所记录的那样。本文提出解开“决策”的三个维度。本文以生态系统服务评估和估价领域为主要示例，讨论并说明了这种拆解如何帮助研究人员将自己置于可能存在的各种决策环境中，以及这如何影响他们可以做出的贡献。尝试解决他们所涉及的生物多样性问题。在描述了决策的“理性主义”愿景的一些关键特征之后，它建议着眼于决策过程的时间连续性（例如，一次性时刻与连续和分散的过程），过程中的冲突程度以及所涉及的参与者范围及其互动模式，广泛扩展了生态系统服务评估和估值可参与决策的各种方式。本文使用三个案例研究来说明这种多样性，并讨论了对研究人员的一些影响，包括承认他们的处境和未来的研究前景。以及所涉及的参与者的范围及其互动模式，广泛扩展了生态系统服务评估和估值可参与决策的各种方式。本文使用三个案例研究来说明这种多样性，并讨论了对研究人员的一些影响，包括承认他们的处境和未来的研究前景。以及所涉及的参与者的范围及其互动模式，广泛扩展了生态系统服务评估和估值可参与决策的各种方式。本文使用三个案例研究来说明这种多样性，并讨论了对研究人员的一些影响，包括承认他们的处境和未来的研究前景。