IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v272y2014icp311-322.html
   My bibliography  Save this article

Generalised growth models for aquatic species with an application to blacklip abalone (Haliotis rubra)

Author

Listed:
  • Lloyd-Jones, Luke R.
  • Wang, You-Gan
  • Nash, Warwick J.

Abstract

This paper presents a maximum likelihood method for estimating growth parameters for an aquatic species that incorporates growth covariates, and takes into consideration multiple tag-recapture data. Individual variability in asymptotic length, age-at-tagging, and measurement error are also considered in the model structure. Using distribution theory, the log-likelihood function is derived under a generalised framework for the von Bertalanffy and Gompertz growth models. Due to the generality of the derivation, covariate effects can be included for both models with seasonality and tagging effects investigated. Method robustness is established via comparison with the Fabens, improved Fabens, James and a non-linear mixed-effects growth models, with the maximum likelihood method performing the best. The method is illustrated further with an application to blacklip abalone (Haliotis rubra) for which a strong growth-retarding tagging effect that persisted for several months was detected.

Suggested Citation

  • Lloyd-Jones, Luke R. & Wang, You-Gan & Nash, Warwick J., 2014. "Generalised growth models for aquatic species with an application to blacklip abalone (Haliotis rubra)," Ecological Modelling, Elsevier, vol. 272(C), pages 311-322.
  • Handle: RePEc:eee:ecomod:v:272:y:2014:i:c:p:311-322
    DOI: 10.1016/j.ecolmodel.2013.10.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380013004791
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2013.10.012?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. E. A. Catchpole & S. N. Freeman & B. J. T. Morgan & W. J. Nash, 2001. "Abalone I: Analyzing Mark-Recapture-Recovery Data Incorporating Growth and Delayed Recovery," Biometrics, The International Biometric Society, vol. 57(2), pages 469-477, June.
    2. You-Gan Wang, 1999. "Estimating Equations for Parameters in Stochastic Growth Models from Tag–Recapture Data," Biometrics, The International Biometric Society, vol. 55(3), pages 900-903, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cafarelli, Barbara & Calculli, Crescenza & Cocchi, Daniela & Pignotti, Elettra, 2017. "Hierarchical non-linear mixed-effects models for estimating growth parameters of western Mediterranean solitary coral populations," Ecological Modelling, Elsevier, vol. 346(C), pages 1-9.
    2. Luke R. Lloyd‐Jones & Hien D. Nguyen & Geoffrey J. McLachlan & Wayne Sumpton & You‐Gan Wang, 2016. "Mixture of time‐dependent growth models with an application to blue swimmer crab length‐frequency data," Biometrics, The International Biometric Society, vol. 72(4), pages 1255-1265, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. You-Gan Wang, 2004. "Estimation of Growth Parameters from Multiple-Recapture Data," Biometrics, The International Biometric Society, vol. 60(3), pages 670-675, September.
    2. Luke R. Lloyd‐Jones & Hien D. Nguyen & Geoffrey J. McLachlan & Wayne Sumpton & You‐Gan Wang, 2016. "Mixture of time‐dependent growth models with an application to blue swimmer crab length‐frequency data," Biometrics, The International Biometric Society, vol. 72(4), pages 1255-1265, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:272:y:2014:i:c:p:311-322. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.