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Replicate analyses of OSPAR beach litter data.

Marcus Schulz1, Bianca Unger2, Carolin Philipp3

  • 1AquaEcology GmbH & Co. KG, Steinkamp 19, 26125, Oldenburg, Germany. mschulz@uos.de.

Environmental Monitoring and Assessment
|September 19, 2021
PubMed
Summary

Replicate beach litter surveys from 2015-2019 show that while data scatter increases, statistical power significantly improves with more surveys. This suggests replicate surveys are valuable for effective beach litter monitoring.

Keywords:
Coefficient of variationConfidence intervalNorth SeaPower analysisReplicate survey

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Area of Science:

  • Marine pollution
  • Environmental monitoring
  • Statistical ecology

Background:

  • Beach litter monitoring is crucial for understanding marine pollution.
  • Previous studies have rarely employed replicate surveys for beach litter.
  • Standardized protocols like OSPAR are used but their efficacy with replication needs investigation.

Purpose of the Study:

  • To assess the impact of increasing replicate surveys on data scatter and statistical power in beach litter monitoring.
  • To determine the optimal number of replicate surveys for reliable beach litter data.
  • To evaluate the utility of replicate surveys for detecting environmental changes.

Main Methods:

  • Conducted replicate beach litter surveys from 2015 to 2019 north of Hörnum, Sylt, Germany.
  • Applied a modified OSPAR protocol for litter monitoring.
  • Utilized descriptive statistics and power analyses to evaluate survey data.

Main Results:

  • Mean total litter abundance ranged from 19 to 185 items per 50m section.
  • Data scatter, measured by the coefficient of variation (CV), significantly increased up to 113% with more surveys.
  • Statistical power increased substantially, reaching nearly 100% with five replicate sections for a 50% litter reduction detection.

Conclusions:

  • Replicate surveys enhance statistical power, making them beneficial for future beach litter monitoring programs.
  • While data scatter may increase, the improved power aids in detecting significant changes in litter abundance.
  • Further research is needed for coastlines with complex morphologies to fully validate this monitoring approach.