ArticleScientific reports2019
Evaluating tropical phytoplankton phenology metrics using contemporary tools.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 46 citations in OpenAlex.
- Phytoplankton phenology paradox in an isolated tropical lagoon of the northern Red Sea.Scientific reports · 2025Article
- Response of Red Sea phytoplankton biomass to marine heatwaves and cold-spells.Scientific reports · 2025Article
- Unravelling the influence of mixed layer depth on chlorophyll-a dynamics in the Red Sea.PloS one · 2025Article
- Long-term warming and human-induced plankton shifts at a coastal Eastern Mediterranean site.Scientific reports · 2023Article
- Quantifying long-term phenological patterns of aerial insectivores roosting in the Great Lakes region using weather surveillance radar.Global change biology · 2023Article
- Gap-filling of ocean color over the tropical Indian Ocean using Monte-Carlo method.Scientific reports · 2022Article
- A Conceptual Approach to Partitioning a Vertical Profile of Phytoplankton Biomass Into Contributions From Two Communities.Journal of geophysical research. Oceans · 2022Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 4 countries.
Funding
Abstract
The timing of phytoplankton growth (phenology) in tropical oceans is a crucial factor influencing the survival rates of higher trophic levels, food web structure and the functioning of coral reef ecosystems. Phytoplankton phenology is thus categorised as an 'ecosystem indicator', which can be utilised to assess ecosystem health in response to environmental and climatic perturbations. Ocean-colour remote sensing is currently the only technique providing global, long-term, synoptic estimates of phenology. However, due to limited available in situ datasets, studies dedicated to the validation of satellite-derived phenology metrics are sparse. The recent development of autonomous oceanographic observation platforms provides an opportunity to bridge this gap. Here, we use satellite-derived surface chlorophyll-a (Chl-a) observations, in conjunction with a Biogeochemical-Argo dataset, to assess the capability of remote sensing to estimate phytoplankton phenology metrics in the northern Red Sea - a typical tropical marine ecosystem. We find that phenology metrics derived from both contemporary platforms match with a high degree of precision (within the same 5-day period). The remotely-sensed surface signatures reflect the overall water column dynamics and successfully capture Chl-a variability related to convective mixing. Our findings offer important insights into the capability of remote sensing for monitoring food availability in tropical marine ecosystems, and support the use of satellite-derived phenology as an ecosystem indicator for marine management strategies in regions with limited data availability.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.