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Comparing “data-limited” situations can sometimes feel like the scar comparison scene from the movie Jaws (Spielberg 1975), with each scar origin story escalating the intensity of the experience, not unlike what can happen when comparing the relative “data-limitedness” among management scenarios. While Dr. Hooper (middle) thought his scars were the worst (i.e., the most data-limited), Captain Quint (left) ultimately makes it very clear his scars are much worse (i.e., more data-limited). Chief Brody (right) is undeniably data-rich in this scene

Comparing “data-limited” situations can sometimes feel like the scar comparison scene from the movie Jaws (Spielberg 1975), with each scar origin story escalating the intensity of the experience, not unlike what can happen when comparing the relative “data-limitedness” among management scenarios. While Dr. Hooper (middle) thought his scars were the worst (i.e., the most data-limited), Captain Quint (left) ultimately makes it very clear his scars are much worse (i.e., more data-limited). Chief Brody (right) is undeniably data-rich in this scene

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The term “data-limited fisheries” is a catch-all to generally describe situations lacking data to support a fully integrated stock assessment model. Data conditions range from data-void fisheries to those that reliably produce quantitative assessments. However, successful fishery assessment can also be limited by resources (e.g., time, money, capac...

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... Successful management of aquatic resources on a global scale requires accurate, up-to-date information not only on their conservation status, but also on their exploitation and trade (Anderson et al. 2019, Blasco et al. 2020, Cope et al. 2023. Publicly available data on sea cucumbers can be found in the Food and Agriculture Organization of the United Nations (FAO) Global Capture Production (FAO 2024c), Global Aquaculture Production (FAO 2024a), and Global Aquatic Trade Statistics (FAO 2024b) databases. ...
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... indices, length and/or age compositions, and parameters describing stock biology and how it 61 interacts with fisheries, i.e. 'selectivity', which refers to processes affecting probability of fish 62 being caught and retained or discarded (Cope et al., 2023). Due to data and resource 63 limitations, however, such assessments are not feasible for the majority of global fisheries, 64 with many not assessed at all (Blasco et . ...
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Released (or discarded) fish from recreational and commercial line fisheries can experience significant levels of post-release mortality (PRM), which can affect the sustainability of fish stocks. Although effects of PRM are often considered in relatively data-rich (integrated model) assessments, this is uncommon with data-limited assessments. This study investigates the impacts of PRM when applying data-limited length-based methods to data for four reef-dwelling demersal fish species in temperate Western Australia (Glaucosoma hebraicum, Chrysophrys auratus, Choerodon rubescens and Epinephelides armatus).
... Despite their importance, the status of many global fisheries remains unknown or poorly estimated due to a lack of sufficient data or institutional capacity required to conduct traditional stock assessments (Cope et al. 2023). The majority of global fisheries are lacking formal assessment, and studies have estimated that these unassessed fisheries may be in significantly worse condition than assessed fisheries (Costello et al. 2012;Blasco et al. 2020;Hilborn et al. 2020). ...
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Objective Fisheries provide countless benefits to human populations but face many threats ranging from climate change to overfishing. Despite these threats and an increase in fishing pressure globally, most stocks remain unassessed and data limited. An abundance of data‐limited assessment methods exists, but each has different data requirements, caveats, and limitations. Furthermore, developing informative model priors can be difficult when little is known about the stock, and uncertain model parameters could create misleading results about stock status. Our research illustrates an approach for rapidly creating robust initial assessments of unregulated and data‐limited fisheries without the need for additional data collection. Methods Our method uses stakeholder knowledge combined with a series of data‐limited tools to identify an appropriate stock assessment method, conduct an assessment, and examine how model uncertainty influences the results. Our approach was applied to the unregulated and data‐limited fishery for Crevalle Jack Caranx hippos in Florida. Result Results suggested a steady increase in exploitation and a decline in stock biomass over time, with the stock currently overfished and undergoing overfishing. These findings highlight a need for management action to prevent continued stock depletion. Conclusion Our approach can help to streamline the initial assessment and management process for unregulated and data‐limited stocks and serves as an additional tool for combating the many threats facing global fisheries.
... catch curve and per recruit analysis), and dynamic integrated modelling approaches, applied to all available data considered applicable and sufficiently reliable for assessment (Fletcher and Santoro 2015). The level of assessment varies depending on data availability and resourcing for assessment (e.g., Cope et al., 2023), with the level of resourcing directed towards assessment determined, at least in part, by the level of ecological risk, the biology and population dynamics of the relevant species, the characteristics of the fisheries exploiting the species. ...
... Nevertheless, length-based stock assessment methods have emerged in recent decades as alternatives to estimate stock status of data-limited fisheries (Costello et al., 2012). These methods have been successfully applied in datalimited fisheries worldwide (Cope et al., 2023;Quinn & Deriso, 1999), by providing reliable estimates (Pons et al., 2019;Santos et al., 2023) and enhancing management practices. Use of length-based approaches can enable management of data-limited fisheries (Costello et al., 2012;Dowling et al., 2016), thereby supporting implementation of precautionary measures based on informed decision-making. ...
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... only two out of 12 small tuna species had their stock recently assessed in the Atlantic Ocean (Juan-Jordá et al., 2015;Pons et al., 2017Pons et al., , 2019aLucena-Frédou et al., 2021). The majority of small tuna stocks are classified as data-limited due to the insufficient data availability to support a fully integrated stock assessment model, therefore remaining unassessed (Juan-Jordá et al., 2015;Kindong et al., 2020;Lucena-Frédou et al., 2021;Cope et al., 2023). Since stock assessments are the basis for taking the most appropriate management measures to ensure a sustainable and healthy population (Punt et al., 2006;Hilborn et al., 2020), the lack of basic knowledge makes these species stocks vulnerable to several stressors like overfishing and climate change effects (Pons et al., 2019b;Lucena-Frédou et al., 2021). ...
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This is the first assessment of blackfin tuna Thunnus atlanticus stock status. The aim of the present study was to estimate the status of its Southwestern stock using length-based models. A total of 1929 individuals was gathered in four years of length data (1998–2019). Two length-based models were applied, Length-Based Spawning Potential Ratio (LBSPR) and Stock Synthesis Data-limited tool (SS-DL) and five scenarios combining a set of growth parameters (asymptotic length-L∞, and growth constant-K) were built to accommodate different life histories available in the literature. The natural mortality (M) was estimated through four empirical methods. Given that the fishery only selects mature fish, length at selectivity were larger than the length at first maturity and high relative fishing mortality were found at most scenarios, even with high spawning potential ratio (SPR) values. The LBSPR estimated higher values of SPR, it presented a steeper decline than SS-DL between 1998 and 2019. In addition, growth parameters influence the estimation of the virginal stock, and intermediate M/K values seems to represent better the estimated length composition, given the low historical catch of the species. A declining pattern in SPR was observed over time with a reduction of 12% according to LBSPR and 7% decrease based on SS-DL methods. However, the overall evaluation of the Southwestern Atlantic stock of blackfin tuna in 2019 revealed an SPR range of 0.41 to 0.63, suggesting sustainable exploitation. Even with the limited data, we could have a proxy of stock status estimation by using length-based models which highlights the importance of such data. However, due to the high uncertainty of the results, better collection of catch, effort and length data should be considered. Additionally, SS-DL seems to estimate better SPR values when variability of growth parameters are placed for a given species.