Literature DB >> 20005531

Exploring the marine biotic index (AMBI): variations on a theme by Angel Borja.

Richard M Warwick1, K Robert Clarke, Paul J Somerfield.   

Abstract

The results of manipulating the input data to AMBI are explored using various transformations of numerical species abundance (NAMBI), biomass (BAMBI) and production (PAMBI) from a variety of stations on the NE Atlantic shelf at which the pollution/disturbance status is known. There is a close agreement between the proportions of species in the five AMBI ecological groups and a phylum level meta-analysis axis of increasing environmental impact. All AMBI measures provide a better monotonic relationship with the impact axis than do traditional species diversity measures, which show higher diversity at intermediate levels of disturbance. A marginally better relationship with the impact axis of the meta-analysis is achieved by a moderate (square root) transformation of the data. 'Production' data (an appropriate combination of abundance and biomass information) provide only a marginal improvement on abundance data, but are ecologically and functionally much more relevant. Severe transformation of the data, culminating in presence/absence, degrades the relationship with the impact axis, but if only simple species lists are available then these may still be useable in making an environmental assessment. (c) 2009 Elsevier Ltd. All rights reserved.

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Year:  2009        PMID: 20005531     DOI: 10.1016/j.marpolbul.2009.11.009

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


  3 in total

1.  Performance of two Southern California benthic community condition indices using species abundance and presence-only data: relevance to DNA barcoding.

Authors:  J Ananda Ranasinghe; Eric D Stein; Peter E Miller; Stephen B Weisberg
Journal:  PLoS One       Date:  2012-08-07       Impact factor: 3.240

2.  Environmental status assessment using DNA metabarcoding: towards a genetics based Marine Biotic Index (gAMBI).

Authors:  Eva Aylagas; Angel Borja; Naiara Rodríguez-Ezpeleta
Journal:  PLoS One       Date:  2014-03-06       Impact factor: 3.240

3.  Four Reasons to Question the Accuracy of a Biotic Index; the Risk of Metric Bias and the Scope to Improve Accuracy.

Authors:  Kieran A Monaghan
Journal:  PLoS One       Date:  2016-07-08       Impact factor: 3.240

  3 in total

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