2021
DOI: 10.3390/rs14010012
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Phytoplankton Phenology in the Coastal Zone of Cyprus, Based on Remote Sensing and In Situ Observations

Abstract: Alterations in phytoplankton biomass, community structure and timing of their growth (phenology), are directly implicated in the carbon cycle and energy transfer to higher trophic levels of the marine food web. Due to the lack of long-term in situ datasets, there is very little information on phytoplankton seasonal succession in Cyprus (eastern Mediterranean Sea). On the other hand, satellite-derived measurements of ocean colour can only provide long-term time series of chlorophyll (an index of phytoplankton b… Show more

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Cited by 7 publications
(4 citation statements)
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“…This could also be triggered by the coastal upwelling present during the summer, southern of Cyprus, and/or the proportion of nanophytoplankton and picophytoplankton, among them. Demetriou et al. (2022) , based on phytoplankton sample analysis from the same stations, reported that during the stratified period (May–December) in southern stations AKR and VAS, the percentage of nanophytoplankton was higher, thus nanophytoplankton dominated over picophytoplankton.…”
Section: Discussionmentioning
confidence: 99%
“…This could also be triggered by the coastal upwelling present during the summer, southern of Cyprus, and/or the proportion of nanophytoplankton and picophytoplankton, among them. Demetriou et al. (2022) , based on phytoplankton sample analysis from the same stations, reported that during the stratified period (May–December) in southern stations AKR and VAS, the percentage of nanophytoplankton was higher, thus nanophytoplankton dominated over picophytoplankton.…”
Section: Discussionmentioning
confidence: 99%
“…For example, Lewis et al (2016) divided the Arctic Ocean three bio-optical provinces, which are mainly influenced by rivers and carried materials (such as colored dissolved organic matter) and found that different regions have their own most suitable ocean color algorithms for chlorophyll. In terms of time, one approach is to study marine phytoplankton phenology through the use of remote sensing; for example, along the coast of the Mediterranean Sea, the growing season of phytoplankton starts in November and reaches its peak in February, with an average duration of about four months (Demetriou et al, 2022). Racault et al (2012) pointed out that the growing season of phytoplankton in different marine areas around the world is influenced by factors such as light, nutrient supply, and climate patterns (El Niño and La Niña).…”
Section: Application Of Models and Differential Analysis Of The Resultsmentioning
confidence: 99%
“…The phenology algorithm that was implemented in the current study was based on the cumulative sums of anomalies method, which utilizes a threshold criterion 8 , 16 , 22 , 25 , 129 . To construct the climatological seasonal cycles, we calculated the weekly means for each 7-day bin over the 23 years spanning the period from 1997 to 2020.…”
Section: Methodsmentioning
confidence: 99%