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  • Scaling up experimental trawl impact results to fishery management scales - a modelling approach for a '"hot time"

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    Author(s)
    Ellis, Nick
    Pantus, Francis
    Roland Pitcher, C.
    Griffith University Author(s)
    Pantus, Francis
    Year published
    2013
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    Abstract
    Numerous studies have quantified trawl impacts at small scales. However, effective management of trawl impacts requires synthesis of experimental results (biomass depletion per tow and subsequent recovery) and application at fishery scales - realistically, this is achievable only in a modelling framework. We present a method for scaling up experimental results for management applications that incorporates a benthic biomass model having exponential trawl depletion and logistic recovery. Ultra-fine trawl-track data, supported by simulations, show that realistic trawling can be represented by a negative-binomial stochastic ...
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    Numerous studies have quantified trawl impacts at small scales. However, effective management of trawl impacts requires synthesis of experimental results (biomass depletion per tow and subsequent recovery) and application at fishery scales - realistically, this is achievable only in a modelling framework. We present a method for scaling up experimental results for management applications that incorporates a benthic biomass model having exponential trawl depletion and logistic recovery. Ultra-fine trawl-track data, supported by simulations, show that realistic trawling can be represented by a negative-binomial stochastic process, with intensity governed by large-scale effort and aggregation by a tunable parameter. Two mechanisms of the process are considered: aggregations in space (hot spots) and aggregations in time (hot times), which yields a logistic differential equation for the large-scale biomass over time. The model shows that scaling from fine scale to fishery scale depends on the degree of aggregation of fishing, with increasing aggregation lowering depletion rates at fishery scales. This model is a fundamental step in enabling assessment of large-scale implications and evaluating alternative management strategies.
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    Journal Title
    Canadian Journal of Fisheries and Aquatic Sciences
    Volume
    71
    DOI
    https://doi.org/10.1139/cjfas-2013-0426
    Copyright Statement
    © 2013 NRC Research Press. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
    Subject
    Environmental Management
    Ecology
    Zoology
    Fisheries Sciences
    Publication URI
    http://hdl.handle.net/10072/57985
    Collection
    • Journal articles

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