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Self-starting CUSUM approach for monitoring data poor fisheries

Pazhayamadom, Deepak George and Kelly, Ciarán J and Rogan, Emer and Codling, Edward A (2013) 'Self-starting CUSUM approach for monitoring data poor fisheries.' Fisheries Research, 145. pp. 114-127. ISSN 0165-7836

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This study attempts to determine whether a fish stock can be monitored and assessed if no historical fisheries data are available. Many existing methods require a time series of population and fishing pressure observations to estimate reference points to trigger decision rules. We demonstrate here the self-starting cumulative sum control chart (SS-CUSUM) where reference points are calibrated from indicator observations sequentially in real time as they are monitored. We used SS-CUSUM to monitor catch-based indicators from a simulated fishery where no previous scientific data are available. In the scenarios considered, the SS-CUSUM was successful in producing responses to fishing impacts with all indicators. A qualitative assessment on performance measures showed that the method worked best with indicators that represented the large fish component in landed catches (large fish indicators). Our study implies that neither a reference point nor a formal fish stock assessment is necessarily required to detect the impact of fishing on stock biomass. We discuss how SS-CUSUM could be incorporated into the assessment process for data poor fisheries. © 2013 Elsevier B.V.

Item Type: Article
Uncontrolled Keywords: Self-starting CUSUM; Indicators; Data poor; Fisheries monitoring
Subjects: Q Science > QA Mathematics
Q Science > QH Natural history > QH301 Biology
S Agriculture > SH Aquaculture. Fisheries. Angling
Divisions: Faculty of Science and Health
Faculty of Science and Health > Mathematical Sciences, Department of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 05 Aug 2013 10:50
Last Modified: 18 Aug 2022 11:40

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