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RESEARCH ARTICLE (Open Access)

Plankton distribution patterns across fine-scale fronts in the Tīkapa Moana Te Moana Nui a Toi Hauraki Gulf, Aotearoa New Zealand

Alexandre Lhériau-Nice https://orcid.org/0000-0002-7221-1232 A B , Lily Kozmian-Ledward A C , David Pierre Milesi-Gaches https://orcid.org/0000-0002-0605-7038 D and Alice Della Penna A E *
+ Author Affiliations
- Author Affiliations

A Te Whare Takiura Mātai Pūtaiao Moana Institute of Marine Science, Waipapa Taumata Rau University of Auckland, Tāmaki Makaurau Auckland, Aotearoa New Zealand.

B Oceanly Science Ltd, Te Whanganui-a-Tara Wellington, Aotearoa New Zealand.

C Sea Lily Ltd, Tāmaki Makaurau Auckland, Aotearoa New Zealand.

D University of South Bohemia, České Budějovice, Czechia.

E Te Kura Mātauranga Koiora School of Biological Sciences, Waipapa Taumata Rau University of Auckland, Tāmaki Makaurau Auckland, Aotearoa New Zealand.

* Correspondence to: alice.penna@auckland.ac.nz

Handling Editor: Jacob Johansen

Marine and Freshwater Research 76, MF24214 https://doi.org/10.1071/MF24214
Submitted: 25 September 2024  Accepted: 18 September 2025  Published: 14 October 2025

© 2025 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Context

The patchiness of chlorophyll-a in the ocean is a well-known fact, particularly in coastal areas. However, how this patchiness is reflected in plankton community composition is still poorly understood.

Aims

Here, we document how fine-scale fronts affect plankton community composition and diversity in coastal temperate waters (Tīkapa Moana Te Moana Nui a Toi Hauraki Gulf, Aotearoa New Zealand).

Methods

We collected water samples and observations of environmental descriptors at scales of <1 km, guided by a front detection algorithm based on high-resolution chlorophyll-a measurements from remote sensing. We classified plankton in three size classes (20–200 μm, 200–500 μm and ≥500 μm), by using a combination of traditional and semi-automated microscopy, into taxonomic groups, characterising the community composition across physical gradients.

Key results

Our results indicated localised changes in taxa either at front locations or within chlorophyll-a filaments. These gradients can be seen for three size fractions of plankton, 20–200, 200–500 and ≥500 μm.

Conclusion

Our results suggest that, in line with modelling studies, fine-scale features can bring together water masses hosting different communities, enriching the planktonic diversity of an area.

Implications

Fine-scale variability should be considered when monitoring plankton community composition for the prevention of harmful algal blooms, when interpreting time series of plankton community composition, and when assessing marine megafauna distribution.

Keywords: AI identification, biodiversity, chlorophyll, coastal dynamics, eco-taxa, fronts, imaging, phytoplankton, planktoscope, zooplankton.

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