Assessing good environmental status through mesozooplankton biodiversity: a step forward.

Area of Science:

• Marine Ecology
• Environmental Science
• Biodiversity Assessment

Background:

• Water quality monitoring is crucial for marine ecosystem health.
• Zooplankton communities reflect environmental conditions and anthropogenic pressures.
• Existing methods for water quality assessment can be improved with biodiversity indices.

Purpose of the Study:

• To develop and validate a zooplankton-based method for evaluating marine water quality using alpha diversity indices.
• To compare water samples from different areas and verify their differentiation using mesozooplankton biodiversity.
• To create a methodology for assessing the quality of new marine water samples.

Main Methods:

• Analysis of a 24-year in situ dataset (1987-2010) comprising 139 samples.
• Identification of 86 mesozooplankton taxa and calculation of diversity and evenness indices.
• Application of linear discriminant analysis (LDA) for sample classification.

Main Results:

• Samples with "good" water status exhibited high diversity and evenness.
• Samples with lower water quality showed low diversity, low evenness, and high dominance.
• Linear discriminant analysis (LDA) achieved 100% discrimination of tested samples.
• 90% of unknown samples were classified with >95% posterior probability.

Conclusions:

• Mesozooplankton diversity indices are reliable indicators for discriminating varying levels of anthropogenic impacts.
• The developed method provides a robust tool for environmental assessment in Mediterranean pelagic habitats.
• Zooplankton biodiversity serves as a valuable bioindicator for marine water quality evaluation.