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  • Oxford University Press (OUP)  (3)
  • 1
    Online-Ressource
    Online-Ressource
    Oxford University Press (OUP) ; 2021
    In:  ICES Journal of Marine Science Vol. 78, No. 1 ( 2021-03-24), p. 25-35
    In: ICES Journal of Marine Science, Oxford University Press (OUP), Vol. 78, No. 1 ( 2021-03-24), p. 25-35
    Kurzfassung: Electronic monitoring (EM) systems have become functional and cost-effective tools for the conservation and sustainable harvesting of marine resources. EM is an alternative to on-board observers, which produces video segments that can subsequently be reviewed by analysts. It is currently used in a range of fisheries. There are two major challenges to the widespread adoption of EM. One is the large storage requirement for the video footage recorded and the other is the long time required by analysts to review the video footage. We propose an automated catch event detection framework to address these challenges. Our solution, based on deep learning techniques, automatically extracts video segments of catch events, which substantially reduces storage space and review time by analysts. Here, we demonstrate the framework using video footage from three longline fishing trips. The system recalled nearly 100% of the catch events across all trips.
    Materialart: Online-Ressource
    ISSN: 1095-9289
    Sprache: Englisch
    Verlag: Oxford University Press (OUP)
    Publikationsdatum: 2021
    ZDB Id: 2463178-4
    ZDB Id: 1468003-8
    ZDB Id: 29056-7
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 2
    In: ICES Journal of Marine Science, Oxford University Press (OUP), Vol. 68, No. 8 ( 2011-09-01), p. 1699-1705
    Kurzfassung: Little, L. R., Wayte, S. E., Tuck, G. N., Smith, A. D. M., Klaer, N., Haddon, M., Punt, A. E., Thomson, R., Day, J., and Fuller, M. 2011. Development and evaluation of a cpue-based harvest control rule for the southern and eastern scalefish and shark fishery of Australia. – ICES Journal of Marine Science, 68: 1699–1705. Many fishery management agencies are adopting harvest control rules (HCRs) to achieve harvest policies and management objectives. HCRs, however, often require data-intensive stock assessments to facilitate the harvest prescription. An HCR based on catch and catch per unit effort (cpue) was developed for the southern and eastern scalefish and shark fishery of Australia, for stocks that lack the data needed to conduct a full statistical catch-at-age assessment. The HCR produces a recommended biological catch and is characterized by two parameters, target cpue and target catch, both derived from historical data. Simulation tests showed that the HCR could guide the stock to the desired state from different initial levels of depletion. However, the selection of parameter values for the HCR was critical. Achieving fishery objectives was difficult when the target catch was a function of recent catch, rather than data from a predefined historical reference period. Problems may also arise when specifying the reference period on which the HCR parameters are determined. The cpue-based HCR is a valuable tool for managing fisheries where monitoring and assessment activities are relatively expensive, or in general, where data are scarce.
    Materialart: Online-Ressource
    ISSN: 1095-9289 , 1054-3139
    Sprache: Englisch
    Verlag: Oxford University Press (OUP)
    Publikationsdatum: 2011
    ZDB Id: 2463178-4
    ZDB Id: 1468003-8
    ZDB Id: 29056-7
    SSG: 12
    SSG: 21,3
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 3
    Online-Ressource
    Online-Ressource
    Oxford University Press (OUP) ; 2014
    In:  ICES Journal of Marine Science Vol. 71, No. 3 ( 2014-04-01), p. 469-483
    In: ICES Journal of Marine Science, Oxford University Press (OUP), Vol. 71, No. 3 ( 2014-04-01), p. 469-483
    Kurzfassung: The objectives for many commercial fisheries include maximizing either yield or profit. Clearly specified management targets are a key element of effective fisheries management. Biomass targets are often specified for major commercial fisheries that are managed using quantitative stock assessments where biomass is calculated and tracked over time. BMSY, the biomass corresponding to Maximum Sustainable Yield, is often used as a target when maximizing yield is important, while BMEY is the biomass target to maximize profit. There are difficulties in estimating both quantities accurately, and this paper explores default proxies for each target biomass, expressed as biomass levels relative to carrying capacity, which are more easily estimated. Integration across a range of uncertainties about stock dynamics and the costs of fishing suggests that a proxy for BMSY in the range of 35–40% of carrying capacity minimizes the potential loss in yield compared with that which would arise if BMSY was known exactly, while a proxy for BMEY of 50–60% of carrying capacity minimizes the corresponding potential loss in profit. These estimates can be refined given stock-specific information regarding productivity (particularly the parameter which defines the resilience of recruitment to changes in spawning stock size) and costs and prices. It is more difficult to find a biomass level that achieves a high expected profit than a biomass level that achieves a high expected catch, because the former is sensitive to uncertainties related to costs and prices, as well as parameters which determine productivity.
    Materialart: Online-Ressource
    ISSN: 1095-9289 , 1054-3139
    Sprache: Englisch
    Verlag: Oxford University Press (OUP)
    Publikationsdatum: 2014
    ZDB Id: 2463178-4
    ZDB Id: 1468003-8
    ZDB Id: 29056-7
    SSG: 12
    SSG: 21,3
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
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