Literature DB >> 21723570

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

Scott Bennett1, Guillem Roca, Javier Romero, Teresa Alcoverro.   

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.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21723570     DOI: 10.1016/j.marpolbul.2011.06.016

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  2 in total

1.  Probability of misclassifying biological elements in surface waters.

Authors:  Małgorzata Loga; Anna Wierzchołowska-Dziedzic
Journal:  Environ Monit Assess       Date:  2017-11-24       Impact factor: 2.513

2.  Ecological status improvement over a decade along the Ligurian coast according to a macroalgae based index (CARLIT).

Authors:  Gina De La Fuente; Mariachiara Chiantore; Federico Gaino; Valentina Asnaghi
Journal:  PLoS One       Date:  2018-12-31       Impact factor: 3.240

  2 in total

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