IDEAS home Printed from https://ideas.repec.org/a/spr/envman/v39y2007i1d10.1007_s00267-005-0206-2.html

Development of an Ecologic Marine Classification in the New Zealand Region

Author

Listed:
  • Ton H. Snelder

    (National Institute of Water and Atmospheric Research)

  • John R. Leathwick

    (National Institute of Water and Atmospheric Research)

  • Katie L. Dey

    (National Institute of Water and Atmospheric Research)

  • Ashley A. Rowden

    (National Institute of Water and Atmospheric Research)

  • Mark A. Weatherhead

    (National Institute of Water and Atmospheric Research)

  • Graham D. Fenwick

    (National Institute of Water and Atmospheric Research)

  • Malcolm P. Francis

    (National Institute of Water and Atmospheric Research)

  • Richard M. Gorman

    (National Institute of Water and Atmospheric Research)

  • Janet M. Grieve

    (National Institute of Water and Atmospheric Research)

  • Mark G. Hadfield

    (National Institute of Water and Atmospheric Research)

  • Judi E. Hewitt

    (National Institute of Water and Atmospheric Research)

  • Ken M. Richardson

    (National Institute of Water and Atmospheric Research)

  • Michael J. Uddstrom

    (National Institute of Water and Atmospheric Research)

  • John R. Zeldis

    (National Institute of Water and Atmospheric Research)

Abstract

We describe here the development of an ecosystem classification designed to underpin the conservation management of marine environments in the New Zealand region. The classification was defined using multivariate classification using explicit environmental layers chosen for their role in driving spatial variation in biologic patterns: depth, mean annual solar radiation, winter sea surface temperature, annual amplitude of sea surface temperature, spatial gradient of sea surface temperature, summer sea surface temperature anomaly, mean wave-induced orbital velocity at the seabed, tidal current velocity, and seabed slope. All variables were derived as gridded data layers at a resolution of 1 km. Variables were selected by assessing their degree of correlation with biologic distributions using separate data sets for demersal fish, benthic invertebrates, and chlorophyll-a. We developed a tuning procedure based on the Mantel test to refine the classification’s discrimination of variation in biologic character. This was achieved by increasing the weighting of variables that play a dominant role and/or by transforming variables where this increased their correlation with biologic differences. We assessed the classification’s ability to discriminate biologic variation using analysis of similarity. This indicated that the discrimination of biologic differences generally increased with increasing classification detail and varied for different taxonomic groups. Advantages of using a numeric approach compared with geographic-based (regionalisation) approaches include better representation of spatial patterns of variation and the ability to apply the classification at widely varying levels of detail. We expect this classification to provide a useful framework for a range of management applications, including providing frameworks for environmental monitoring and reporting and identifying representative areas for conservation.

Suggested Citation

  • Ton H. Snelder & John R. Leathwick & Katie L. Dey & Ashley A. Rowden & Mark A. Weatherhead & Graham D. Fenwick & Malcolm P. Francis & Richard M. Gorman & Janet M. Grieve & Mark G. Hadfield & Judi E. H, 2007. "Development of an Ecologic Marine Classification in the New Zealand Region," Environmental Management, Springer, vol. 39(1), pages 12-29, January.
  • Handle: RePEc:spr:envman:v:39:y:2007:i:1:d:10.1007_s00267-005-0206-2
    DOI: 10.1007/s00267-005-0206-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00267-005-0206-2
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1007/s00267-005-0206-2?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
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:spr:envman:v:39:y:2007:i:1:d:10.1007_s00267-005-0206-2. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.