Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Optimization of a micronekton model with acoustic data

    Access Status
    Open access via publisher
    Authors
    Lehodey, P.
    Conchon, A.
    Senina, I.
    Domokos, R.
    Calmettes, B.
    Jouanno, J.
    Hernandez, O.
    Kloser, Rudy
    Date
    2015
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Lehodey, P. and Conchon, A. and Senina, I. and Domokos, R. and Calmettes, B. and Jouanno, J. and Hernandez, O. et al. 2015. Optimization of a micronekton model with acoustic data. ICES Journal of Marine Science. 72 (5): pp. 1399-1412.
    Source Title
    ICES Journal of Marine Science
    DOI
    10.1093/icesjms/fsu233
    ISSN
    1054-3139
    School
    Centre for Marine Science and Technology
    URI
    http://hdl.handle.net/20.500.11937/52198
    Collection
    • Curtin Research Publications
    Abstract

    © 2014 International Council for the Exploration of the Sea 2014. All rights reserved. For Permissions, please email: journals.permissions@oup.com.In the pelagic foodweb, micronekton at the mid-trophic level (MTL) are one of the lesser known components of the ocean ecosystem despite being a major driver of the spatial dynamics of their predators, of which many are exploited species (e.g. tunas). The Spatial Ecosystem and Population Dynamics Model is one modelling approach that includes a representation of the spatial dynamics of several epi- and mesopelagic MTL functional groups. The dynamics of these groups are driven by physical (temperature and currents) and biogeochemical (primary production, euphotic depth) variables. A key issue to address is the parameterization of the energy transfer from the primary production to these functional groups. We present a method using in situ acoustic data to estimate the parameters with a maximum likelihood estimation approach. A series of twin experiments conducted to test the behaviour of the model suggested that in the ideal case, that is, with an environmental forcing perfectly simulated and biomass estimates directly correlated with the acoustic signal, a minimum of 200 observations over several time steps at the resolution of the model is needed to estimate the parameter values with a minimum error. A transect of acoustic backscatter at 38 kHz collected during scientific cruises north of Hawaii allowed a first illustration of the approach with actual data. A discussion followed regarding the various sources of uncertainties associated with the use of acoustic data in micronekton biomass.

    Related items

    Showing items related by title, author, creator and subject.

    • An investigation into active and passive acoustic techniques to study aggregating fish species
      Parsons, Miles James Gerard (2009)
      Techniques of single- and multi-beam active acoustics and the passive recording of fish vocalisations were employed to evaluate the benefits and limitations of each technique as a method for assessing and monitoring fish ...
    • The measurement of underwater acoustic noise radiated by a vessel using the vessel's own towed array
      Duncan, Alexander John (2003)
      The work described in this thesis tested the feasibility of using a towed array of hydrophones to: 1. localise sources of underwater acoustic noise radiated by the towvessel, 2. determine the absolute amplitudes of these ...
    • Estimation of tropospheric wet delay from GNSS measurements
      Lo, Johnny Su Hau (2011)
      The determination of the zenith wet delay (ZWD) component can be a difficult task due to the dynamic nature of atmospheric water vapour. However, precise estimation of the ZWD is essential for high-precision Global ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.