Literature DB >> 24095047

Alert thresholds for monitoring environmental variables: a new approach applied to seagrass beds diversity in New Caledonia.

Simon Van Wynsberge1, Antoine Gilbert, Nicolas Guillemot, Claude Payri, Serge Andréfouët.   

Abstract

Monitoring ecological variables is mandatory to detect abnormal changes in ecosystems. When the studied variables exceed predefined alert thresholds, management actions may be required. In the past, alert thresholds have been typically defined by expert judgments and descriptive statistics. Recently, approaches based on statistical power were also used. In New Caledonia, seagrass monitoring is a priority given their vulnerability to natural and anthropic disturbances. To define a suitable monitoring strategy and alert thresholds, we compared a Percentile Based Approach (PBA) and a sensitivity analysis of power (SAP). Both methods defined statistically relevant alert thresholds, but the SAP approach was more robust to spatial and temporal variability of seagrass cover. Moreover, this method characterized the sensitivity of threshold values to sampling efforts, a useful knowledge for managers.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Keywords:  Alert threshold; Indicators; Monitoring; Power analysis; Seagrass

Mesh:

Year:  2013        PMID: 24095047     DOI: 10.1016/j.marpolbul.2013.09.035

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


  2 in total

1.  Statistical power to detect change in a mangrove shoreline fish community adjacent to a nuclear power plant.

Authors:  T E Dolan; P D Lynch; J L Karazsia; J E Serafy
Journal:  Environ Monit Assess       Date:  2016-02-22       Impact factor: 2.513

2.  Power analysis as a tool to identify statistically informative indicators for monitoring coral reef disturbances.

Authors:  Simon Van Wynsberge; Antoine Gilbert; Nicolas Guillemot; Tom Heintz; Laura Tremblay-Boyer
Journal:  Environ Monit Assess       Date:  2017-06-05       Impact factor: 2.513

  2 in total

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