e-space
Manchester Metropolitan University's Research Repository

    Evaluating tools for the spatial management of fisheries

    Canty, S, Truelove, N, Preziosi, Richard, Chenery, S, Horstwood, M and Box, S (2018) Evaluating tools for the spatial management of fisheries. Journal of Applied Ecology, 2018. pp. 1-8. ISSN 0021-8901

    [img]
    Preview
    Published Version
    Available under License Creative Commons Attribution.

    Download (779kB) | Preview

    Abstract

    1. The ability to define the spatial dynamics of fish stocks is critical to fisheries man- agement. Combating illegal, unreported and unregulated fishing and the regula- tion of area-based management through physical patrols and port side controls are growing areas of management attention. Augmenting the existing approaches to fisheries management with forensic techniques has the potential to increase compliance and enforcement success rates. 2. We tested the accuracy of three techniques (genotyping, otolith microchemistry and morphometrics) that can be used to identify geographic origin. We used fish caught from three fishing grounds, separated by a minimum of 5 km and a maxi- mum of 60 km, to test the accuracy of these approaches at relatively small spatial scales. 3. Using nearest-neighbour analyses, morphometric analysis was the most accurate (79.5%) in assigning individual fish to their fishing ground of origin. Neither otolith microchemistry (54.0%) or genetic analyses (52.4%) had sufficient accuracy at the spatial scales we examined. 4. Synthesis and applications. The combination of accuracy and minimal resource re- quirements make morphometric analysis a promising tool for assessing compli- ance with area-based fishing restrictions at the scale of kilometres. Furthermore, this approach has promising application, in small-scale fisheries through to com- munity-based management approaches where technical and financial resources are limited.

    Impact and Reach

    Statistics

    Activity Overview
    6 month trend
    230Downloads
    6 month trend
    286Hits

    Additional statistics for this dataset are available via IRStats2.

    Altmetric

    Actions (login required)

    View Item View Item