Improving data-limited stock assessment with sporadic stock index information in stock reduction analysis

Guan, Lisha; Chen, Yong; Boenish, Robert; Jin, Xianshi; Shan, Xiujuan

doi:10.1139/cjfas-2018-0500

Cited by 6 publications

(7 citation statements)

References 32 publications

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“…Accordingly, data-limited methods have tremendous potential to be used in estimating fishery status and setting scientific catch limits, such as total allowable catch, for commercial fisheries in China Seas. For example, Guan et al (2020) improved stock reduction analysis with sporadic stock index information which could be collected from historical and recent fisheryindependent surveys in China. Our study provides another way to apply and validate COMs for data-limited fisheries in China Seas and stock reduction analysis such as Catch-MSY and CMSY could provide MSY-based reference points which could be used to inform fisheries management.…”

Section: Discussionmentioning

confidence: 99%

“…RLSADB summarized hundreds of formal stock assessments around the world and have been widely used to conduct empirical validation for COMs (Anderson et al, 2017;Free et al, 2020;Guan et al, 2020;Ovando et al, 2021b). In this study, only 23 fish stocks from RLSADB were found to satisfy our pre-defined criteria regarding catch trends and depletion levels.…”

Section: Discussionmentioning

confidence: 99%

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Evaluating Catch-Only Methods to Inform Fisheries Management in the East China Sea

Dai

Hodgdon²,

Xu³

et al. 2022

Front. Mar. Sci.

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China contributes the largest catches to global marine wild-capture fisheries. The majority of them are harvested from China Seas which are highly productive, but are facing heavy fisheries exploitation. The status of exploited fisheries stocks in China Seas have remained largely unknown due to severe data-limited conditions, which hindered their sustainable use and effective management. Although the off-the-shelf use of catch-only methods (COMs) has been cautioned because of their poor estimation performance, such methods have been increasingly applied to infer the status of exploited stocks in China Seas without performance evaluation. In this study, we established an empirical approach to evaluate the performance of a suite of COMs in predicting stock biomass status for the data-limited fisheries in the East China Sea (ECS) from data-rich stocks with similar characteristics in the RAM Legacy Stock Assessment Database (RLSADB). The results confirmed that ensemble approaches performed better than the individual COMs in estimating the mean of stock biomass status for data-rich stocks selected from RLSADB. By contrast, mechanistic COMs demonstrated more accurate estimates when predicting the trend of stock biomass status. The stock status of commercial fisheries in ECS estimated by three mechanistic COMs (Catch-MSY, CMSY, and OCOM) was likely too optimistic for most species. We suggest that China establish its national database and develop and implement regular monitoring programs to satisfy formal statistical stock assessment for its coastal fisheries.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Evaluating Catch-Only Methods to Inform Fisheries Management in the East China Sea

Dai

Hodgdon²,

Xu³

et al. 2022

Front. Mar. Sci.

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“…Conducting fisheries‐independent surveys is still costly, but performance of management based on survey data may justify the cost by yielding more precise estimation of catch/effort limits, restoring stock biomass and resulting in higher yield (Dennis et al., 2015; Guan et al., 2019). Moreover, survey designs can be optimised with regard to specific management objectives to further improve the data quality and, subsequently, the performance of data‐limited survey‐based MPs (Xu, Zhang, et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

“…However, practical implementation of such strategies is hindered by heavy data demands, particularly catch‐at‐age data, which are widely unavailable (Su et al, 2020). In the meantime, there are numerous studies reporting the use of sporadic survey data to enhance the performance of data‐limited assessment methods in China (Chen et al., 2018; Guan, Chen, Boenish, Jin, & Shan, 2019; Sun et al., 2018; Zhang et al., 2018), indicating that survey‐based MPs have the potential to be integrated into China's fisheries management in the future and should be comprehensively evaluated for their performance, sensitivity and robustness.…”

Section: Introductionmentioning

confidence: 99%

Using fisheries‐independent survey data to reinforce China’s data‐limited fisheries management: Management strategy evaluation of survey‐based management procedures

Sun

Ren

et al. 2020

Fisheries Management Eco

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Fisheries‐independent survey data are vital to stock assessment and management because they provide reliable information on stock status. Although survey data have been increasingly recognised for their contributions to fisheries management, they have often not been adequately used to provide quantitative management recommendations for China's fisheries that are subject to limited data. In the present study, a framework was proposed to integrate two types of survey‐based management procedures (MPs) into China's fisheries management: the slope‐based MP and the target‐based MP. Specifically, the former generates fishing effort limits based on the trend in recent years’ abundance index, while the latter sets effort limits based on a static abundance index target. To test the performance of these MPs, management strategy evaluation was performed using a simulated fishery based on the small yellow croaker, Larimichthys polyactis (Bleeker) in Haizhou Bay, China. The sensitivity of MPs was investigated under different algorithm parameterisations and historical exploitation levels. Additionally, their robustness was evaluated in the face of survey uncertainty and changes in recruitment success. Both MPs could effectively improve the stock status compared with the status quo management when appropriately parameterised regardless of exploitation history. The target‐based MP was more robust to survey uncertainty than the slope‐based MP. Non‐stationary changes in recruitment success strongly impaired the management effects, while using recruitment‐specific instead of the age‐aggregated abundance index could slightly enhance their performance. This work indicates that survey‐based MPs can address the current challenges in China's fisheries management and reinforce the status quo management practice with limited data and highlights the potential risks.

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“…Much of our understanding on data-poor species’ catch is based on landings data reported to the Food and Agriculture Organization of the United Nations (FAO)(Froese, Zeller, Kleisner, & Pauly, 2012). Data-poor species comprise >80% of global catch and almost two-thirds of species are overexploited (Costello et al, 2012; Guan, Chen, Boenish, Jin, & Shan, 2020). However, landings data are not consistent or reliable globally, particularly in countries with many landing sites and/or high levels of artisanal catch, particularly for sharks and their relatives (Khan et al, 2020; Okes & Sant, 2022; Ruano-Chamorro, Subida, & Fernández, 2017).…”

Section: Introductionmentioning

confidence: 99%

M-Risk: A framework for assessing global fisheries management efficacy of sharks, rays, and chimaeras

Sherman

Sant

Simpfendorfer

et al. 2022

Preprint

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Fisheries management is essential to guarantee sustainable capture of target species and avoid undesirable declines of incidentally captured species. A key challenge is halting and reversing declines of shark and ray species, and specifically assessing the degree to which management is sufficient to avoid declines in relatively data-poor fisheries. While ecological risk analyses focus on intrinsic 'productivity' and extrinsic 'susceptibility', one would ideally consider the influence of 'fisheries management'. Currently, there is no single management evaluation that can be applied to a combination of fishery types at the scale of individual country or Regional Fisheries Management Organisations (RFMOs). Here, we outline a management risk (M-Risk) framework for sharks, rays, and chimaeras used to evaluate species' risk to overfishing resulting from ineffective management. We illustrate our approach with application to one country (Ecuador) and RFMO (Inter-American Tropical Tuna Commission) and illustrate the variation in scores among species. We found that while both management units assessed had similar overall scores, the scores for individual attributes varied. Ecuador scored higher in reporting-related attributes, while the IATTC scored higher in attributes related to data collection and use. We evaluated whether management of individual species was sufficient for their relative sensitivity by combining the management risk score for each species with their intrinsic sensitivity to determine a final M-Risk score. This framework can be applied to determine which species face the greatest risk of overfishing and be used by fisheries managers to identify effective management policies by replicating regulations from countries with lower risk scores.

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Improving data-limited stock assessment with sporadic stock index information in stock reduction analysis

Cited by 6 publications

References 32 publications

Evaluating Catch-Only Methods to Inform Fisheries Management in the East China Sea

Evaluating Catch-Only Methods to Inform Fisheries Management in the East China Sea

Using fisheries‐independent survey data to reinforce China’s data‐limited fisheries management: Management strategy evaluation of survey‐based management procedures

M-Risk: A framework for assessing global fisheries management efficacy of sharks, rays, and chimaeras

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