4.5 Review

Oceans of plenty? Challenges, advancements, and future directions for the provision of evidence-based fisheries management advice

期刊

REVIEWS IN FISH BIOLOGY AND FISHERIES
卷 33, 期 2, 页码 375-410

出版社

SPRINGER
DOI: 10.1007/s11160-022-09726-7

关键词

Stock assessment; Fisheries management; Data-limited methods (DLMs); Ecosystem and climate models; Spatial modeling; Management strategy evaluation (MSE)

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Marine population modeling is an important research field that supports fisheries interventions. It has made recent advancements to address challenges like climate change and enduring issues such as data limitations. The review highlights the integration of various dimensions in fisheries models, facilitated by interdisciplinary research teams and improved data collection protocols. However, the implementation of model-based advice and sharing of confidential data remain challenges. The authors recommend participatory co-management approaches, wider inclusion of local knowledge and stakeholder input, and improved communication and engagement in fisheries management to make better informed decisions.
Marine population modeling, which underpins the scientific advice to support fisheries interventions, is an active research field with recent advancements to address modern challenges (e.g., climate change) and enduring issues (e.g., data limitations). Based on discussions during the 'Land of Plenty' session at the 2021 World Fisheries Congress, we synthesize current challenges, recent advances, and interdisciplinary developments in biological fisheries models (i.e., data-limited, stock assessment, spatial, ecosystem, and climate), management strategy evaluation, and the scientific advice that bridges the science-policy interface. Our review demonstrates that proliferation of interdisciplinary research teams and enhanced data collection protocols have enabled increased integration of spatiotemporal, ecosystem, and socioeconomic dimensions in many fisheries models. However, not all management systems have the resources to implement model-based advice, while protocols for sharing confidential data are lacking and impeding research advances. We recommend that management and modeling frameworks continue to adopt participatory co-management approaches that emphasize wider inclusion of local knowledge and stakeholder input to fill knowledge gaps and promote information sharing. Moreover, fisheries management, by which we mean the end-to-end process of data collection, scientific analysis, and implementation of evidence-informed management actions, must integrate improved communication, engagement, and capacity building, while incorporating feedback loops at each stage. Increasing application of management strategy evaluation is viewed as a critical unifying component, which will bridge fisheries modeling disciplines, aid management decision-making, and better incorporate the array of stakeholders, thereby leading to a more proactive, pragmatic, transparent, and inclusive management framework-ensuring better informed decisions in an uncertain world.

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