Evidence map›Paper›PMID 38693309›Full record

ArticleScientific reports2024

Atlas of phytoplankton phenology indices in selected Eastern Mediterranean marine ecosystems.

Antonia Kournopoulou, Katerina Kikaki, Ioanna Varkitzi, Stella Psarra, Georgia Assimakopoulou, Konstantinos Karantzalos, Dionysios E Raitsos

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Antonia KournopoulouDepartment of Biology, National and Kapodistrian University of Athens, 157 72, Athens, Greece. akourno@biol.uoa.gr.
Katerina KikakiRemote Sensing Laboratory, National Technical University of Athens, 15780, Zographou, Greece.
Ioanna VarkitziHellenic Centre for Marine Research (HCMR), Institute of Oceanography, 19013, Anavyssos, Greece.
Stella PsarraHellenic Centre for Marine Research (HCMR), Institute of Oceanography, 71003, Crete, Greece.
Georgia AssimakopoulouHellenic Centre for Marine Research (HCMR), Institute of Oceanography, 19013, Anavyssos, Greece.
Konstantinos KarantzalosRemote Sensing Laboratory, National Technical University of Athens, 15780, Zographou, Greece.
Dionysios E RaitsosDepartment of Biology, National and Kapodistrian University of Athens, 157 72, Athens, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phytoplankton is a fundamental component of marine food webs and play a crucial role in marine ecosystem functioning. The phenology (timing of growth) of these microscopic algae is an important ecological indicator that can be utilized to observe its seasonal dynamics, and assess its response to environmental perturbations. Ocean colour remote sensing is currently the only means of obtaining synoptic estimates of chlorophyll-a (a proxy of phytoplankton biomass) at high temporal and spatial resolution, enabling the calculation of phenology metrics. However, ocean colour observations have acknowledged weaknesses compromising its reliability, while the scarcity of long-term in situ data has impeded the validation of satellite-derived phenology estimates. To address this issue, we compared one of the longest available in situ time series (20 years) of chlorophyll-a concentrations in the Eastern Mediterranean Sea (EMS), along with concurrent remotely-sensed observations. The comparison revealed a marked coherence between the two datasets, indicating the capability of satellite-based measurements in accurately capturing the phytoplankton seasonality and phenology metrics (i.e., timing of initiation, duration, peak and termination) in the studied area. Furthermore, by studying and validating these metrics we constructed a satellite-derived phytoplankton phenology atlas, reporting in detail the seasonal patterns in several sub-regions in coastal and open seas over the EMS. The open waters host higher concentrations from late October to April, with maximum levels recorded during February and lowest during the summer period. The phytoplankton growth over the Northern Aegean Sea appeared to initiate at least a month later than the rest of the EMS (initiating in late November and terminating in late May). The coastal waters and enclosed gulfs (such as Amvrakikos and Maliakos), exhibit a distinct seasonal pattern with consistently higher levels of chlorophyll-a and prolonged growth period compared to the open seas. The proposed phenology atlas represents a useful resource for monitoring phytoplankton growth periods in the EMS, supporting water quality management practices, while enhancing our current comprehension on the relationships between phytoplankton biomass and higher trophic levels (as a food source).

Indexed as

Chlorophyll AEcosystemPhytoplanktonSeasonsBiomassChlorophyllEnvironmental MonitoringMediterranean SeaRemote Sensing TechnologyChlorophyllChlorophyll A

Identifiers

PMID38693309
PMCPMC11063190

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