Historical information has provided key insights into long‐term ecological change to marine species and ecosystems, with value to fisheries. Yet, pathways to integrate these diverse data sources into fisheries decision‐making have not been clear. Here, we identify an array of biological, ecological, and social information suitable for contemporary science‐based decision‐making, derived from local ecological knowledge, historical archives, archaeological middens and palaeoecological material. We outline two broad pathways to integrate these historical data into fisheries decision‐making, demonstrating that data‐driven use of historical information is relevant across a range of management contexts. First, historical information can inform fisheries assessments that range from simple to complex, affecting indicators of stock status. Second, it can inform estimates of biological potential and social preference, affecting the choice of fisheries reference points. Using the Caribbean Sea as an example, we illustrate these ideas with case studies representing diverse species and historical data types. Integrating historical data can improve indicators of the current state of fish populations and result in management decisions based on a more complete understanding of a potential range of variation, avoiding shifted baselines. The urgency of this work is underscored by accelerating environmental changes and the rapid loss of invaluable historical information sources. By illuminating pathways, our goal is to increase the accessibility of these types of information and to underscore that scientists, managers, and resource users have roles to play in identifying and integrating relevant long‐term data at various spatial and temporal scales to sustainably manage marine fisheries.

中文翻译：

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将历史信息纳入渔业决策的途径


历史信息为海洋物种和生态系统的长期生态变化提供了重要见解，对渔业具有价值。然而，将这些不同的数据源整合到渔业决策中的途径尚不清楚。在这里，我们从当地生态知识、历史档案、考古遗址和古生态材料中确定了一系列适合当代科学决策的生物、生态和社会信息。我们概述了将这些历史数据整合到渔业决策中的两种主要途径，证明历史信息的数据驱动使用在一系列管理环境中都是相关的。首先，历史信息可以为从简单到复杂的渔业评估提供信息，从而影响种群状况指标。其次，它可以为生物潜力和社会偏好的估计提供信息，从而影响渔业参考点的选择。以加勒比海为例，我们通过代表不同物种和历史数据类型的案例研究来说明这些想法。整合历史数据可以改善鱼类种群当前状态的指标，并根据对潜在变化范围的更全面了解做出管理决策，避免基线发生变化。环境变化的加速和宝贵历史信息源的迅速流失凸显了这项工作的紧迫性。通过阐明途径，我们的目标是提高此类信息的可访问性，并强调科学家、管理者和资源使用者在识别和整合不同时空尺度的相关长期数据以可持续管理海洋方面可以发挥作用。渔业。