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    Ecological status of seagrass ecosystems: An uncertainty analysis of the meadow classification based on the Posidonia oceanica multivariate index (POMI)

    Access Status
    Fulltext not available
    Authors
    Bennett, Scott
    Roca, G.
    Romero, J.
    Alcoverro, T.
    Date
    2011
    Type
    Journal Article
    
    Metadata
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    Citation
    Bennett, S. and Roca, G. and Romero, J. and Alcoverro, T. 2011. Ecological status of seagrass ecosystems: An uncertainty analysis of the meadow classification based on the Posidonia oceanica multivariate index (POMI). Marine Pollution Bulletin. 62 (8): pp. 1616-1621.
    Source Title
    Marine Pollution Bulletin
    DOI
    10.1016/j.marpolbul.2011.06.016
    ISSN
    0025-326X
    School
    Department of Environment and Agriculture
    URI
    http://hdl.handle.net/20.500.11937/52204
    Collection
    • Curtin Research Publications
    Abstract

    Quantifying the uncertainty associated with monitoring protocols is essential to prevent the misclassification of ecological status and to improve sampling design. We assessed the Posidonia oceanica multivariate index (POMI) bio-monitoring program for its robustness in classifying the ecological status of coastal waters within the Water Framework Directive. We used a 7-year data set covering 30 sites along 500 km of the Catalonian coastline to examine which version of POMI (14 or 9 metrics) maximises precision in classifying the ecological status of meadows. Five factors (zones within a site, sites within a water body, depth, years and surveyors) that potentially generate classification uncertainty were examined in detail. Of these, depth was a major source of uncertainty, while all the remaining spatial and temporal factors displayed low variability. POMI 9 matched POMI 14 in all factors, and could effectively replace it in future monitoring programs. © 2011 Elsevier Ltd.

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