Home Home

CCAMLR

Commission for the Conservation of Antarctic Marine Living Resources

  • Home
  • Skip to Content
  • Log in

Search form

  • About CCAMLR
  • Conservation measures
  • Science
  • Fisheries
  • Compliance
  • Data
  • Meetings
  • Publications
  • English
  • Français
  • Русский
  • Español
  • Home
  • Meetings
  • WG-EMM-00/14 Rev. 1
Print this page
Increase font size
Decrease font size

Utilising data from ecosystem monitoring for managing fisheries: development of statistical summaries of indices arising from the CCAMLR Ecosystem Monitoring Program

Doc Number: WG-EMM-00/14 Rev. 1
Author(s): W. de la Mare and A. Constable (Australia)
Submitted By: ()

Please complete a document request form to access this document

User login

  • Request new password
Abstract: 

A potential method is presented for combining data collected as part of the CCAMLR ecosystem monitoring program (CEMP) into a single index for each of predator, prey and environmental parameters. The paper is divided into four main parts. The first part develops the proposed method of forming summary indices, which is based on the usual theory of multivariate statistics and takes into account the covariance between parameters. The second part reports on a Monte Carlo simulation study that examines the robustness of the indices to missing data and the degree of correlation between parameters. These trials show that missing values were unlikely to be a problem for time series of parameters that are highly correlated (greater than 0.6). Criteria for inclusion of parameters in the indices are discussed when parameters are moderately or poorly correlated. The third part uses further simulation tests to examine the power of the statistical procedure adopted by WG-EMM in 1996 for identifying anomalies in CEMP parameters. The power of the procedure to detect anomalies was found to fall to low levels once more than a few anomalous values have appeared in the data. An alternative procedure, using estimates of the mean and variance of baseline time series was found to have consistently better statistical power regardless of the accumulation of anomalies. The last section outlines an approach to the further development of CEMP indices for application in CCAMLR.

This page was last modified on 30 Sep 2011

Contact us

Email: ccamlr [at] ccamlr [dot] org
Telephone: +61 3 6210 1111
Fax: +61 3 6224 8744
Address: 181 Macquarie Street, Hobart, 7000, Tasmania, Australia
Postal address: PO Box 213, North Hobart 7002, Tasmania, Australia

 

Quick Links

  • Job vacancies
  • Schedule of Conservation Measures in Force 2019/20
  • Help/Support
  • Statistical Bulletin

Recent and Upcoming Meetings

  • WG-ASAM-2020 - 01 Jun 2020 to 05 Jun 2020
  • WG-SAM-2020 - 29 Jun 2020 to 03 Jul 2020
  • WG-EMM-2020 - 06 Jul 2020 to 17 Jul 2020
  • WG-FSA-2020 - 12 Oct 2020 to 23 Oct 2020
  • SC-CAMLR-39 - 26 Oct 2020 to 30 Oct 2020
  • Log in
  • CCAMLR e-groups
  • Support
  • Copyright
  • Disclaimer and Privacy Policy
  • Sitemap
  • Intranet
  • Webmail
© Copyright - the Commission for the Conservation of Antarctic Marine Living Resources 2019, All rights reserved.  |  Top of page  |  Site by Eighty Options