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).
Subject terms: Ocean sciences, Ecology
Introduction
The microscopic algae, phytoplankton, found in nearly every aquatic environment, are vital for the functioning of marine ecosystems. These microorganisms are responsible for 50% of Earth’s oxygen, serve as the underlying energy source of aquatic ecosystems1, and constitute the base of marine food webs, providing an essential food source for other organisms2. Phytoplankton also support fisheries resources, providing food security and economic support for maritime nations bordering the Mediterranean3,4. Spatiotemporal variations in phytoplankton abundance and timing of growth (phenology) can have a significant impact on marine ecosystems, as the survival and fitness of other organisms in the food web depend on food availability5–7. Therefore, monitoring the trends and variability of these ecological indicators can provide important knowledge of ecosystem status.
Ecological indicators, such as phytoplankton abundance and phenology (timing of periodic growth events), can be used to monitor seasonal phytoplankton dynamics, describe their response to environmental/climate change, as well as the transfer of organic carbon to higher trophic levels5–9. Phenology metrics include: the timing of the initiation, peak, termination and duration of phytoplankton blooms. The knowledge gained from these indices is highly important for assessing the linkages between phytoplankton and fisheries stocks5,10, thus supporting and improving the marine management strategies11.
Ocean colour satellite sensors have been widely used for the effective monitoring of phytoplankton ecological indicators; an asset for detecting marine ecosystem changes12. Several studies have investigated the interannual variability and trends of phytoplankton at global or basin-wide scales utilizing satellite ocean colour datasets13–18. For instance, using satellite-derived observations of ocean colour, evidence has shown that phytoplankton biomass (as indexed by Chlorophyll-a [Chl-a])19, influences the survival/hatch rates of several marine organisms (including fish and shrimps)5,20,21. To describe the phenology of phytoplankton growth in the global oceans, Racault et al.22 analyzed its variability between 1998 to 2007, highlighting the importance of phenology as an indicator for marine resources management. In the Eastern Mediterranean Sea (EMS), a prominent biodiversity hotspot23,24—the average duration of phytoplankton growth periods has exhibited a decreasing trend from 1998 to 201418. Such large-scale studies explore overall trends in phytoplankton phenology over broad areas, however, detailed information at regional scales is usually limited.
To successfully retrieve phytoplankton phenology metrics there is a need for continuous long-term, gap-free, datasets. In situ measurements are usually sparse in space and time, making it difficult to apply phenology algorithms and calculate seasonal phytoplankton growth metrics10. As an alternative, satellite-derived ocean colour observations are freely available and provide synoptic observations of Chl-a concentrations at high spatial (1 km) and temporal (daily) resolution, which could ultimately support such an approach. However, one of the issues derived, is the actual validity of such metrics based on satellite-derived observations22. Validating the ocean colour phenology trends with in situ datasets is particularly challenging, mainly due to the lack of continuous in-water observations in space and time7. Regardless of the importance of phytoplankton phenology and the availability of satellite-derived information, there is no detailed information on the seasonal cycles of phytoplankton in the EMS, including open and coastal waters and the semi-enclosed Gulfs of the Ionian and Aegean Seas.
In this study, multi-temporal satellite data and phenology monitoring techniques were utilized to explore the phytoplankton growth timing over the EMS. First, we applied a phenology algorithm, based on the threshold criterion approach22,25, on both satellite-derived ocean colour observations and a long-term in situ Chl-a time series acquired from the Saronikos Gulf (> 30 years available), which is well-distributed in time (i.e., relatively gap-free) and the longest time series of Chl-a in the EMS. A detailed atlas of phytoplankton phenology in the EMS is provided, based on long-term (23 years), high resolution (1 km) satellite-derived ocean colour datasets. In addition, spatial phenological analyzes were conducted and the seasonal cycles of phytoplankton biomass in several regions within the Ionian, Aegean and Levantine Seas are discussed. Finally, we discuss the seasonal succession of phytoplankton biomass in relation to the regional environment and physical forcing.
Results and discussion
This part is organized into several subsections including the comparison of satellite-derived and in situ phenology metrics, an Atlas of phenology indices over the EMS, and the analysis of seasonal patterns in several coastal and open regions.
Seasonal cycles and comparison between satellite-derived and in situ phenology
Monthly seasonal cycles were generated (1a and b), aligning both in situ (Chl-a[Insitu]) and satellite (Chl-a[Sat]) datasets in terms of spatial and temporal dimensions (as described in the Methods section). In the coastal region of Saronikos Gulf, an increase in light and temperature, coupled with the transfer of nutrients from deeper layers to the illuminated surface zone, leads to typical phytoplankton growth during late winter and spring26,27. Both in situ and satellite datasets captured a less intense peak in Chl-a concentration during December and a slight decline in January at the two stations (Fig. 1a and b). This secondary Chl-a peak observed at both stations corroborates findings from previous studies26,28. Although both Station S11 and Station S16 exhibit similar Chl-a levels during the blooming period, the latter is generally characterized as more oligotrophic than the former, as evidenced by satellite and in situ observations. Specifically, the time series data indicate an average Chl-a concentration of 0.24 mg/m3 at Station S11 and 0.17 mg/m3 at Station S16. This difference is still evident to the present day, with coastal Station S11 transitioning from mesotrophic to oligotrophic conditions since 2005. This shift signifies an improved ecological status, likely due to the implementation of secondary sewage treatment on Psittalia Island27.
In order to evaluate the efficiency of satellite-derived phytoplankton phenology, we conducted a direct comparison between phenology metrics calculated using satellite-derived data and in situ datasets in the Saronikos Gulf, over the period 1997–2017 (Fig. 1c and d). Daily matchups were resampled into 7-day bins, and phenology metrics were estimated for both the in situ and satellite datasets following the methods outlined in our study. Phenology indices derived from the two datasets match remarkably well in both stations. According to the (Chl-a[Insitu]) time series in S11, the blooming period initiates in late October and terminates in the beginning of May. Satellite-derived phenology in S11 is as the initiation is estimated to occur a week earlier and the termination on the same week (Fig. 1c). Similar results are reported when comparing the phenology metrics at the offshore station S16, where the initiation is identical (i.e. mid-October) and the termination occurs late April and early May, according to (Chl-a[Insitu]) and (Chl-a[Sat]) time series (Fig. 1d).
Atlas of phenology metrics
The EMS exhibited a distinct seasonal pattern with the higher production phase occurring from November to April, characterized by elevated concentrations of Chl-a, with maximum levels observed in February in most open ocean areas. Conversely, the period from May to October exhibits a low production phase29. The N. Aegean Sea displays a delayed blooming period compared to the rest of the study area, initiating in December and ending between late May and early June (Fig. 2a and c, respectively). In most coastal regions of EMS, the growth period of phytoplankton begins in mid-October, ending around November (Fig. 2a), slightly earlier compared to the open sea. The peak of the blooming period typically occurs in the middle of winter in most coastal regions, with the highest signal observed from January–March, while in the open sea, Chl-a reaches maximum values during late winter to early spring30,31. This gradient of blooming periods creates sub-regions with specific characteristics, which separates the Aegean Sea from north to south. In the Ionian Sea, this distinction is recognized between the coastal zone and the open sea (Fig. 2b). The growth period in the open sea ranges from 23 to 27 weeks (Fig. 2d) and is relatively stable. The subsequent sections will present further analysis of the seasonal cycles and cross-validation for various regions of the EMS.
Moreover, since phytoplankton phenology is highly constrained from local prevailing conditions, a further analysis and cross-validation with the available in situ data was conducted in several (i.e., twenty) coastal and open water regions in the EMS. In particular, we highlight and discuss certain key characteristics and phenology indices for selected regions in the Ionian and the Aegean Sea (Figs. 3 and 4). These mean phenology metrics (i.e., initiation, peak, termination, duration, Chl-a mean and maximum values) are summarized in Table 1. Although, the employed in situ Chl-a measurements (Table 2) were sampled at specific time, location and depth, and thus cannot be directly compared to satellite-derived climatologies, there were overall in-line with the derived seasonal patterns, indices and phenology cycles.
Table 1.
Site | Initiation | Peak | Termination | Duration(days) (days) |
MeanChl-a (mg/m3) |
MaxChl-a (mg/m3) |
---|---|---|---|---|---|---|
Coastal | ||||||
Amvrakikos Gulf | 07–13 Nov | 02–08 Jan | 14–20 May | 189 | 4.744 | 7.835 |
Thermaikos Gulf | 09–15 Jan | 19–25 Mar | 11–17 Jun | 154 | 2.373 | 5.332 |
Alexandroupolis Gulf | 14–20 Nov | 26 Mar–01 Apr | 04–10 Jun | 203 | 1.117 | 3.173 |
Maliakos Gulf | 03–09 Oct | 19–25 Dec | 09–15 Apr | 189 | 1.117 | 3.181 |
Gulf of Kavala | 07–13 Nov | 20–26 Feb | 07–13 May | 182 | 0.614 | 1.701 |
South Evoikos Gulf | 17–23 Oct | 16–22 Jan | 02–08 Apr | 196 | 0.516 | 1.625 |
Gulf of Patras | 17–23 Oct | 19–25 Dec | 09–15 Apr | 175 | 0.394 | 0.921 |
Pagasitikos Gulf | 31 Oct–06 Nov | 02–08 Jan | 09–15 Apr | 161 | 0.234 | 0.546 |
Gulf of Corinth | 24–30 Oct | 12–18 Mar | 21–27 May | 210 | 0.230 | 0.699 |
Saronikos Gulf | 17–23 Oct | 20–26 Feb | 09–15 Apr | 175 | 0.159 | 0.327 |
Laganas Gulf | 24–30 Oct | 06–12 Feb | 09–15 Apr | 168 | 0.089 | 0.109 |
Gulf of Heraklion | 17–23 Oct | 16–22 Jan | 16–22 Apr | 182 | 0.075 | 0.162 |
Open Sea | ||||||
North Aegean Sea | 21–27 Nov | 26 Mar–01 April | 28 May–03 Jun | 189 | 0.212 | 0.399 |
Central Aegean Sea | 24–30 Oct | 12–18 Mar | 09–15 Apr | 168 | 0.088 | 0.143 |
Myrtoan Sea | 24–30 Oct | 20–26 Feb | 09–15 Apr | 168 | 0.071 | 0.114 |
Rhodes Gyre | 14–20 Nov | 27 Feb–04 Mar | 23–29 Apr | 161 | 0.067 | 0.185 |
Cyclades | 31 Oct–06 Nov | 27 Feb–04 Mar | 09–15 Apr | 161 | 0.069 | 0.095 |
Cretan Sea | 07–13 Nov | 13–19 Feb | 16–22 Apr | 161 | 0.060 | 0.091 |
Pelops Gyre | 31 Oct–06 Nov | 20–26 Feb | 16–22 Apr | 161 | 0.055 | 0.081 |
Ierapetra Gyre | 31 Oct–06 Nov | 20–26 Feb | 16–22 Apr | 161 | 0.049 | 0.082 |
Table 2.
Site | Chl-a (mg/m3) | Year | Project/Cruise |
---|---|---|---|
Alexandroupolis Gulf | 0.05–0.39 | 1997–1998 | North Aegean–INTERREG project |
0.17–4.05 | 2013–2018 | WFD monitoring | |
Amvrakikos Gulf | <4.3 | 2012-ongoing | WFD monitoring |
Central Aegean | 0.02–0.31 | 1988-1989 | LIA 7, 8, 9 and 10 cruises |
1997–1998 | MATER | ||
1997–2000 | INTERREG | ||
2008 | SESAME | ||
Cretan Sea | 0.033–0.34 | 2010–2021 | POSEIDON E1-M3A |
Cyclades Plateau | 0.04–0.45 | 1988 | LIA 7 and 8 cruises |
1994 | MATER | ||
2008 | SESAME | ||
Gulf of Heraklion | 0.05–0.57 | 1994–1998 | CINCS Project |
0.03–0.24 | 2016–2021 | POSEIDON HCB | |
Gulf of Kavala | <1.42 | 2012-ongoing | WFD monitoring |
Gulf of Patras | 0.16–0.54 | 2000 | MED-POL |
2004–2005 | Habitat Assessment Baseline survey in the West Patraikos Licence Area | ||
Myrtoan Sea | 0.007–0.191 | 2020 | MARRE-Project |
CRELEV cruise | |||
Pelops Gyre | 0.16–0.169 | 1991 | 091 cruise |
1991 | POEM | ||
1994 | PELAGOS | ||
2008 | SESAME | ||
Saronikos Gulf | 0.19–1.09 | 1987-ongoing | MED-POL and Saronikos monitoring |
Thermaikos Gulf | 0.11–9.01 | 1992-ongoing | Thermaikos and WFD monitoring |
West Coasts of Zakynthos | 0.09–0.26 | 2014 | WFD monitoring |
Phenology indices in coastal areas and Gulfs
The coastline of Greece, surrounded by the Aegean, Ionian, and Levantine Seas, receives nutrient-rich waters from small rivers, water outfalls, runoff, and/or various agricultural and industrial activities. This excess nutrient load occasionally leads to large Harmful Algal Blooms (HABs), especially in the Gulfs of Saronikos, Evoikos, Pagasitikos, Amvrakikos, Thermaikos, and the Gulf of Kavala32.
Summarizing the results, Chl-a concentration in the selected coastal water bodies ranged between 0.03–7.9 mg/m3. The most productive waters (max Chl-a 3.0–7.9 mg/m3 and climatology mean 1.0–4.8 mg/m3, as shown in Table 1),where prolonged phytoplankton growth periods are reported, occur at the Amvrakikos, Alexandroupolis and Maliakos Gulfs (189–203 days). Thermaikos Gulf seems to be the second most productive among the coastal regions, however, it has the shortest growth period duration (154 days). The Gulf of Kavala and South Evoikos appear to be mesotrophic (max Chl-a <1.7 mg/m3 and climatology mean <1 mg/m3). Laganas gulf and Heraklion Bay seem to be the least productive areas (max Chl-a <0.16 mg/m3 and climatology mean <0.1 mg/m3), under the direct influence of the South Ionian and Cretan Sea oligotrophic open waters respectively Although Chl-a values in the Gulf of Corinth are much lower, this area has the longest phytoplankton growing period.
Eutrophication assessment33,34 according to the average Chl-a concentration (MeanChl-a in Table 1) of each coastal area reveals that: (i) Amvrakikos and Thermaikos are characterized as in bad eutrophication status (Chl-a > 2.21 mg/m3, (ii) Alexandroupolis, Maliakos Gulfs and Gulf of Kavala in poor status (2.21 > Chl-a > 0.6), (iii) South Evoikos Gulf in moderate status (0.6 > Chl-a > 0.4), (iv) Gulf of Corinth, Patras, Pagasitikos and Saronikos Gulfs in good status (0.4 > Chl-a > 0.1) and (v) Laganas Gulf and Heraklion Gulf in high eutrophication status (0.1 > Chl-a)35. A prominent peak suggests that phytoplankton growth is primarily driven by seasonality, whereas the presence of multiple peaks may indicate additional, (potentially random) nutrient inputs occurring during the year, such as domestic or industrial sewage, agricultural runoff, or aquaculture36. Even though the climatology time series in the Gulf of Heraklion may exhibit variations that resemble a multi-peak pattern, it’s important to emphasize that these variations are within a significantly narrower range of Chl-a concentrations compared to the gulfs of Maliakos and Amvrakikos. In the cases of Alexandroupolis, the Gulf of Kavala and Thermaikos where multiple peaks occur during the growth perid, the combined effect of river inflows and nutrient rich water masses from the North Aegean Sea is highlighted, where Black Sea Waters (BSW) enter the area through the Dardanelles strait (see details below in the North Aegean section). The impact of BSW fades from east to west along the Thracian coast. The observed delay in the growth period initiation of Thermaikos can be explained by the southerly winds, which initiate to prevail in the region after March, and induce circulation patterns that favour phytoplankton growth, especially in the northern part of the Gulf37,38. The inner part of South Evoikos is also another productive area with high anthropogenic pressures and a narrow opening to the Aegean Sea, limiting the water mass exchange with open waters39.
In the following subsections, we describe the climatological seasonal cycle of phytoplankton growth and the main phenology metrics for each region. The average Chl-a concentrations during peak season (January to March) are demonstrated in the central map of Fig. 3 to indicate the most productive regions. In addition, to further support the satellite-derived results, we compare our results with in situ Chl-a observations obtained from past scientific cruises as reported in the available literature.
Thermaikos Gulf
Thermaikos Gulf is located in the NW Aegean Sea and the inner part hosts the natural harbor of the city of Thessaloniki. The Gulf is divided into three sectors, from Thessaloniki bay towards the inner and then the outer part of the Gulf, representing a north to south gradient of decreasing anthropogenic pressures. The average depth is less than 50 m40 and nutrient-rich waters flow in from four rivers, Axios, Aliakmon, Loudias and Gallikos41. Maritime traffic, fisheries and heavy industrial operations are only some of the pressures the Gulf receives. Axios river is considered one of the most polluted rivers of Greece affecting the biochemical properties of the Gulf42,43.
The initiation of the phytoplankton growth period in the inner Thermaikos Gulf begins between the 9th and 15th of January (Fig. 3 and Table 1). Supporting our analysis, higher in situ Chl-a concentrations were observed based on monitoring surveys within the Gulf (Table 2) in March–May and sometimes in October–November. This second growth period is also depicted by the climatology analysis in Fig. 3. According to the satellite-derived climatology, Chl-a concentration exceeds 5 mg/m3 during mid/late March. This is supported by the in situ observations (Table 2), which report that in 1997–2000 Chl-a maxima reached 8.34 mg/m3, whereas during the next 15 years Chl-a maxima decreased to 4.52 mg/m3 (for Thessaloniki bay, Thermaikos Gulf on average). This decrease in Chl-a levels has been associated with a 32% decrease of Axios river inflows and the removal of 80% nitrogen from treated urban sewage discharged in Thermaikos40. The timing of phytoplankton growth termination occurs in the middle of June (i.e., 11–17th June), resulting in a slightly shorter duration (i.e., 150 days or 5 months) compared to the rest of the coastal regions under study.
This region appears to have one of the most productive coastal zones, particularly in the inner region and west coast, which are influenced by four river deltas, as well as the Pinios river delta in the south. The same pattern appears for the Chl-a climatology (Fig. 4, central map). Our findings confirm previous studies, which consider the inner Gulf as more eutrophic, whereas trophic conditions improve in the outer Gulf due to fewer pressures, but also due to water masses exchange with the Aegean Sea44. Riverine waters are known to move along the west coast of Thermaikos to the south, whereas Aegean water masses enter the Gulf along the east coast from deeper layers in a cyclonic rotation towards the bay of Thessaloniki45. Higher productivity and eutrophication frequently leads to large phytoplankton blooms and HABs in almost every season46–48. The main HABs species in Thermaikos is the toxic dinoflagellate Dinophysis acuminata, which can expand in different parts of the Gulf, but it proliferates mainly in Thessaloniki bay and the deltaic area44,49.
Amvrakikos Gulf
The Amvrakikos Gulf, located on the NW coast of Greece is one of the largest semi-enclosed embayments in Greece. It is one of the most important lagoonal complexes, protected by the convention of Ramsar. Water renewal, a vital process for such areas, is carried out via a narrow channel that creates a connection with the Ionian Sea. Amvrakikos Gulf receives discharges from the Arachthos and Louros rivers, which are rich in phosphates. Other sources of nutrient pollution include agriculture, fish farming, and urban sewage50,51.
The winter phytoplankton growth period starts between 7–13th November and ends between 14–20th May (Fig. 3 and Table 1). Several peaks are observed in the Chl-a climatology graph, highlighting the complexity of phytoplankton seasonality, while the highest Chl-a value occurs between the 2–8th of January. This multi-peak pattern is evident in the climatological seasonal cycle of Maliakos Gulf (Fig. 3), and is further documented by in situ Chl-a values. Amvrakikos and Maliakos Gulfs are the only two of the studied coastal regions with very limited water masses exchange with the open sea and shallow depths, causing a quite perturbed coastal environment. Therefore, not only river inflows may determine phytoplankton growth in such environments, but also urban and industrial sewage, agriculture runoffs and aquaculture, as documented by Varkitzi et al.36. Maximum Chl-a concentration is almost 8 mg/m3 in January in Amvrakikos, reaching the highest levels among the studied coastal regions. Higher in situ Chl-a levels have been also observed in March–April, reaching 4.3 mg/m3 (Table 2). Amvrakikos is among the EMS coastal areas with frequent HAB events. Water discolourations are often reported due to dinoflagellate HABs mostly, which can last for even three weeks48,52.
Gulf of Patras
The Gulf of Patras is a semi-enclosed, shallow marine embayment on the NW coast of Peloponnese. The Gulf is the link between Gulf of Corinth and the Ionian Sea while two main rivers (Acheloos and Evinos) discharge into the area. The pollution load transferred by the rivers to the Gulf seems to differ from its adjacent pelagic environment with relatively higher mean Chl-a values (Fig. 3, central map). These regions appear to show relative nutrient enrichment for the development of phytoplankton which can be attributed to anthropogenic pollution, such as urban effluents discharged from the city of Patras, as well as river runoff and bottom enrichment53.
In the Gulf of Patras, phytoplankton growth is estimated to initiate in the period 17-23rd October, lasting until early/mid-April. Chl-a maximum concentration (0.92 mg/m3) occurs from 19–25th December, earlier compared to regions that presented similar seasonal cycle duration (175 days). In situ Chl-a concentrations in 2004–2005 (Table 2) ranged from 0.41–0.54 mg/m3 in March (mixing period), and well below 0.16–0.24 mg/m3 during the period of thermal stratification (September). During 2012–2015 Chl-a concentrations showed highest chlorophyll values in March 2014 (0.16–0.31 mg/m3) and lower in September 2014 (0.15–0.22 mg/m3), confirming the previous surveys (Table 2)54. The aforementioned Chl-variations are similar to the trends described in the climatology graph in the present study (Fig. 3).
Gulf of Corinth
Gulf of Corinth is a deep, semi-enclosed basin, characterized as one of the 26 Important Marine Mammal Areas for the Mediterranean Sea55.The Gulf is connected to the Ionian Sea with the Rion-Antirion strait and with the Aegean Sea via the narrow Corinth Canal. The morphology of the northern margin of the Gulf consists of a wide shelf in Antikyra Bay, which passes through a steeping slope and ends to a deep basin floor at 900 m water depth. It is noteworthy, that very few scientific data for Gulf of Corinth are available. The study region is affected by agricultural activities in the coastal zone and pollutants from domestic and industrial effluents, such as aluminum processing plants56. On the northern coast, 17 fish farms are located producing mostly sea bass (Dicentrarchus labrax), and gilthead seabream (Sparus aurata)57.
The timing of initiation is usually around 24–30th of October and peak chlorophyll concentration (0.7 mg/m3) is reached in mid-March (i.e., 12–18th), later compared to the two neighbouring gulfs, Gulf of Patras and Saronikos (Fig. 3 and Table 1). The phenology atlas reveals an important variation of the initiation timings in the Gulf. Only in the coastal zone, the growing period starts in October while in the center of the Gulf it is delayed approximately by two months (i.e., late December to early January (Fig. 2a). During monitor surveys, in situ Chl-a were observed in mid-March (spring) (0.53 mg/m3) while in September they decreased by about half (0.15 mg/m3). During the years 2004–2005, Chl-a peak was recorded in May (0.21 mg/m3) while the lowest value in December (0.09 mg/m3)58. In 2013–2015 Chl-a concentrations showed high Chl-a concentrations were also recorded in late Spring (March–April) at the coastal areas of the northern part, such as Itea Bay (0.75 mg/m3), Antikyra Bay (0.68 mg/m3), and southern part (0.504 mg/m3)54. The increased Chl-a values are related to the relatively increased concentrations of nutrients (i.e., nitrate concentrations), due to anthropogenic pollution from the rivers and/or enrichment from the seabed54. Chl-a distribution in the climatology map (Fig. 4) reveals lower concentrations in the open water part of the Gulf, where the depths are greater. The termination of the growing period seems consistent, generally taking place in the time period between the 21st and 27th of May.
Saronikos Gulf
The Saronikos Gulf with an area of 2600 km2, is situated in the west-central region of the Aegean Sea and is influenced by its water masses59. The region is affected by the Athens metropolitan area and is characterized by intensive navigation, tourism and well-developed commercial, and recreational fisheries60. The Elefsis Bay (a shallow semi-enclosed area to the north of the Gulf) is considered as one of the most polluted sub-regions on the coastal zone due to industrial activities (oil refineries, shipyards, chemical plants, metal, cement industries, etc.)61. Domestic and industrial effluents are released in Saronikos Gulf, while after 1994 the Psitallia Wastewater Treatment Plant is operating, primarily treating before discharging the sewage in near-bottom layers.
The seasonal cycle in Saronikos Gulf is characterized by low Chl-a, with values ranging between 0.07 and 0.33 mg/m3 (Fig. 3 and Table 1. Chl-a increases in mid/late–October (17–23th) and the highest values are observed in the middle of winter (i.e., 20–26th February) (Fig. 3 and Table 1). The northern part of the Gulf, close to Elefsis Bay, tends to enter the growth period one week earlier (i.e., 10–16th October) compared to the outer Saronikos Gulf (Fig. 2a). Timings of termination follow a north–south gradient, with Chl-a decreasing later in the northern part and earlier in the south (Fig. 2). In Saronikos Gulf the biomass and abundance of phytoplankton are characterized by elevated seasonal variability. Seasonal patterns are linked to variations in hydrological features62 and changes in nutrient concentrations:27peaks in biomass occur in spring (March–April) after the replenishment of surface waters with nutrients owing to the typical winter water-column mixing. After spring, the overall phytoplankton biomass decreases while vertical distributions of Chl-a change drastically, displaying deeper maxima in the water column. The environmental quality of Saronikos Gulf is investigated since 1987, providing continuous information about its ecological status. For instance, in Psittalia island, in situ Chl-a ranged from 0.19 mg/m3 to 0.67 mg/m3 for the period 1998–2015. Regarding the inner Saronikos Gulf, measured Chl-a values ranged from 0.06 mg/m3 (July) to 1.09 mg/m3 (end March), as well as a second maximum was recorded at the end of November (0.45 mg/m3)26,27,44.
Gulf of Heraklion
The Gulf of Heraklion is on the coastal front of Heraklion city, the administrative capital of Crete Island. The Heraklion harbor is situated there and constitutes one of the most important and active ports in the Eastern Mediterranean, characterized by heavy maritime traffic. Chl-a concentration in the Gulf is estimated to range from 0.03 to 0.16 mg/m3, substantially lower than the rest of the studied coastal regions (Fig. 3). The seasonal phytoplankton growth seems to begin between 17–23rd October and peaking time is usually around 16–22nd January. Termination generally occurs 16–22nd April, resulting in an average cycle duration 180 days (Fig. 3 and Table 1).
In situ concentrations of Chl-a (Table 2) range at low values, but slightly higher compared to the extracted climatology results. Moreover, from bimonthly time series surveys at selected coastal stations in Heraklion Bay similar ranges were obtained: a) 0.05–0.57 mg/m3, with peaks again in March–April and lowest values in July (period July 1994–April 1998)31,63 , b) 0.03–0.24 mg/m3, with peaks in March–April and minima in July, at the POSEIDON HCB station from 2016 to 202131. However, a higher temporal frequency (bi-weekly) sampling conducted in a shallow area (60 m) at the NW of the Gulf of Heraklion from February to May 2005, confirms the satellite-derived phenology assessment of this study, i.e., maximum values recorded in February (0.34 mg/m3) while gradually decreasing thereafter until May (0.11 mg/m3)64. The latter observation pinpoints the need for higher frequency in situ studies to successfully encompass the critical time points of phytoplankton growth.
Maliakos Gulf
The Maliakos Gulf is a semi-enclosed and shallow coastal region in Central Greece that receives the discharges of the Spercheios river and is affected by frequent eutrophication and HAB events36. Anthropogenic activities that influence the Maliakos coastal zone include agriculture, sewage, fishing and aquaculture65.
The phytoplankton growing period begins around 3–9th October and a maximum Chl-a peak of 3.2 mg/m3 is observed from 19th–25th December. The duration of the whole growth period is 189 days, and terminates during 9–15th April (Fig. 3 and Table 1). Based on in situ data collected between 2014 and 2015, Markogianni et al.66 reported that during the wet season (November to May), Chl-a values ranged from 0.15–2.17 mg/m3 and presented two peaks in March and November. During the dry season (June to October), Chl-a concentrations ranged from 0.19–2.81 mg/m3, and reached a peak of 4.98 mg/m3 in September near the surface and close to the estuary. This multi-peak pattern is supported by the climatological seasonal cycle of Maliakos Gulf (Fig. 3). This feature highlights the importance of nutrient inputs not only from the river outflow, but also from domestic/industrial sewage through a spillway/anti-flood canal, streams and other non-point sources dispersed along the coastline of Maliakos Gulf36.
Chl-a concentrations and phytoplankton abundances can reach high levels throughout Maliakos Gulf. High nutrient inputs from Spercheios river are quickly dispersed in the Gulf due to the fast mixing and homogenization of water masses36. Higher Chl-a concentrations and phytoplankton abundance occur mainly near the estuary, and these seem to decrease towards the open waters. The same authors report frequent HABs (Pseudo-nitzschia diatom blooms are most often) in the whole Gulf, mainly associated with lower salinity—and indicative of the strong influence of river inflows. The eutrophication assessment in Maliakos Gulf shows an overall mesotrophic status and moderate ecological quality with some improvement away from the estuary36.
Pagasitikos Gulf
The Gulf of Pagasitikos is a relatively shallow coastal area on the west coast of the Aegean Sea. It is influenced by agricultural run-off, sewage treatment effluents from Volos city, streams and industrial activity67. The Gulf is connected with the Aegean Sea and north Evoikos through the narrow Trikeri channel. Since the early 1980s, a few episodes of mass gelatinous mucilage deposition in the north half of the gulf have been seen, presumably due to anthropogenic eutrophication68,69.
The phenology of phytoplankton indicates a growth period which initiates between 31 October–6 November, while maximum Chl-a values of 0.55 mg/m3 are reached between 2-8th January. The phytoplankton growth terminates on 9-15th April with a total duration of 161 days (Fig. 3 and Table 1). A previous study at Pagasitikos Gulf, based on SeaWiFS ocean colour observations70 showed that the highest Chl-a values were 0.53 mg/m3, supporting our analysis. In situ data collected through field surveys indicated that maximum Chl-a values occur in January and April (0.5 mg/m3) and reach a minimum in September67,69. The same authors report that in situ surface Chl-a can reach higher levels during the same period (i.e., 2.26–3.5 mg/m3 in January–April and 0.83 mg/m3 in September). A signal of higher Chl-a levels on the western coast was also observed in our study (Fig. 4, central map), which can be associated with the combination of stream discharge, sewage diffusion71, and vertical mixing due to the known cyclonic circulation there72.
Alexandroupolis Gulf
Alexandroupolis Gulf is situated in the inner part of the Samothraki continental shelf in the NE Aegean Sea. Evros river, the most important river discharging into the North Aegean Sea in terms of freshwater supply, flows into the eastern part of the Gulf through a delta, which is protected by the Ramsar and Bern Conventions. The water circulation in the broader region is mainly influenced by the Samothraki Anticyclone, which is associated with BSW outflow through the Dardanelles Strait73. The initiation of the main phytoplankton growth period occurs between 14–20th of November and terminates in early June (4–10th). The climatology graph reveals several peaks, with the highest Chl-a value (3.17 mg/m3) occurring the last week of March (Fig. 3 and Table 1).
Chl-a samples were collected seasonally from various depths in Alexandroupolis Gulf during May 1997, February 1998, June 1998 and September 1998. Chl-a ranged from 0.05 in September (late summer–autumn) to 0.39 mg/m3 during February (late winter–spring). During 2013–2018 in Alexandroupolis Gulf Chl-a ranged from 0.12 mg/m3 (May-late spring) to 4.05 mg/m3 during March (spring) (Table 2). In addition to the main peak, a secondary reduced peak of 1.56 mg/m3 occurs during late autumn–winter (November) that is evident in the climatological seasonal cycle (Fig. 3).
Gulf of Kavala
The Kavala Gulf is a semi-enclosed embayment that is connected with the N. Aegean Sea through the Thassos Channel and Thassos Plateau. The Gulf is affected by eutrophication due to harbor and industrial activities, sewage treatment operations, Nestos river discharges32, as well as Black Sea waters74.
Our results show that phytoplankton growth initiates between 7–13th November, and a maximum Chl-a concentration of 1.7 mg/m3 is observed in late February (20–26th). The total duration of the growing period is 182 days (Fig. 3 and Table 1). In situ Chl-a (Table 2), was found to peak at 1.42mg/m3, which is consistent with the climatology time series presented in Fig. 3. In earlier studies, average Chl-a levels were reported at 0.14–0.47 mg/m375,76. Although large diatoms have been found to dominate the phytoplankton communities48,76, blooms and water discolouration events are quite frequent, mainly due to the dinoflagellate Noctiluca scintillans.
Laganas Gulf
The Laganas Gulf located on the southern shore of Zakynthos Island in the Ionian Sea serves as a migration destination for loggerhead sea turtles (Caretta caretta) to lay their eggs. Since 1999, Laganas gulf has been protected by the National Marine Park of Zakynthos, one of the two established Marine Protected Areas in Greece.
Phytoplankton growth initiates from 24–30th October and terminates during 9–15th April with an average duration of 168 days. The highest value of Chl-a (0.11 mg/m3) is observed in early/mid-February (6–12th) (Fig. 3 and Table 1). In situ measurements (Table 2) revealed that at the western coasts of Zakynthos, maximum Chl-a concentrations ranged between 0.09 and 0.26 mg/m3 in March 2014, indicating an overall good to high ecological status54.
South Evoikos Gulf
The southern part of Evoikos Gulf is a semi-enclosed basin with depth < 120 m. A very narrow passage connects North Evoikos with the South and controls the water mass exchanges.
Timing of initiation doesn’t present any significant variations throughout the gulf and was detected between 17th and 23rd of October. The highest Chl-a concentration (1.6 mg/m3) is usually observed from the 16th to the 22nd of January. The growth period ends in early/mid-April, resulting in a total phytoplankton growing period of 196 days (Fig. 3 and Table 1). Climatology time series analysis reveals an overall Chl-a mean of 0.52 mg/m3 and a seasonal pattern with higher concentrations during spring period and lower in autumn75,76.
Phenology indices in Open Seas
We investigated phytoplankton dynamics in the oligotrophic EMS (Fig. 4) which is generally characterized by a “non-blooming” regime with low Chl-a variations throughout the year77,78. Chl-a levels in the EMS demonstrate a moderate increase during winter-early spring, and low Chl-a levels throughout the rest of the year, similar to subtropical waters79,80.
Regarding open water regions, the N Aegean Sea is the most productive; with the longest growth period, highest maximal surface Chl-a values and climatology mean (Table 1). The central Aegean comes as the second most productive region, with means for the growth period and the climatology higher than the rest. The Cyclades plateau follows with the same growth period duration to the Rhodes gyre, despite the lower max Chl-a values and climatology mean (Fig. 4 and Table 1). As we are moving further to the south, the Cretan Sea presents a slightly more oligotrophic character than the Cyclades plateau (climatology mean < 0.07 mg/m3). Finally, the anti-cyclonic Ierapetra gyre in the Levantine Sea and the Pelops gyre in the Ionian Sea present the same phenology indices, being among the most oligotrophic regions in the region (climatology mean < 0.06 mg/m3, as shown in Table 1, Fig. 4). This gradient of increasing oligotrophy on a north to south axis in the Aegean Sea and then to the Levantine and Ionian Seas is a well-documented regime in the literature30,81.
To further support our satellite-derived results, we compare them with available in situ Chl-a observations. In particular, the N Aegean Sea is a well-studied region, with a lot of relevant literature dedicated to it. Indeed, when comparing the phenology indices with in situ Chl-a values from several published studies, there is a good agreement between them. For open water regions in the current study that have limited published research, we utilized previously published Chl-a data to compare with our phenology results. Consequently, the overall patterns of phytoplankton phenology examined in the present study are well in accordance with our previous knowledge on these regions.
The following subsections describe in detail the main phenology indices for each sub-region presented in Fig. 4. The annual mean Chl-a concentrations are also shown in the corresponding map, indicating the more oligotrophic character of the open sea compared to more productive coastal waters. However, few regions in the EMS are identified as “intermittently blooming” areas, namely the frontal area in NE Aegean Sea and the Rhodes cyclonic Gyre, which demonstrate oligotrophic conditions with intervals of high Chl-a concentrations as a function of strong physical forcing.
North Aegean Sea
The N. Aegean Sea is one of the most productive and important fishing grounds in the EMS, with complex bathymetry, extended shallow continental shelf which alternates with deep basins, and freshwater inputs from the major rivers in the surrounding area43,82–84. N Aegean is also adjacent to the Dardanelles Straits through which it receives the colder and fresher Black Sea Water (BSW), connecting the EMS with the Black Sea73,85. The circulation of BSW in the wider area is regulated by the temporal variability of BSW flux and the dominant cyclonic circulation of the Aegean Sea86 as well as the permanent Samothraki anticyclone that flows around the Island of Samothraki and entraps the inflowing BSW, thus increasing their residence time in N Aegean87. The nutrient rich and less saline (less dense) alters BSW flows into NE Aegean Sea and forms a distinct surface layer of 0–20 m or 50 m thickness, under which the warmer and saltier (denser) water of Levantine origin is detected, forming a dynamic thermohaline front73,85. BSW affects directly the NE Aegean, but it can disperse in a wider area of the N Aegean following known hydrological patterns88. The inflowing BSW carries high loads of particulate and dissolved organic matter (POM, DOM) and less inorganic nutrients82,89–91 which favour autotrophic/heterotrophic biomass and primary/secondary production30,81,83,92,93.
Phytoplankton growth period initiates in late November (i.e., 21–27th) and terminates in late May–early June, with a total duration of 189 days (Fig. 4 and Table 1). This suggests that the blooming period in the North Aegean Sea shows the longest duration among the studied open waters. Maximum Chl-a values of 0.4 mg/m3 are detected from 26th March to 1st April, and the highest climatology Chl-a average of 0.21 mg/m3 for the whole study period, compared to all other open water regions (Table 1). Previous in situ surveys in N Aegean confirm that Chl-a peaks within the surface layer (0–20m) during March–April30,81,94,95. The same studies report similar high in situ Chl-a levels (ranging at 0.34–0.98 mg/m3) with our results during March–April.
Central Aegean Sea
The Central Aegean is known to be a transient area between the North Aegean, which is directly affected by the productive BSW, and the South Aegean (Cyclades plateau and Cretan Sea), which is influenced more by the oligotrophic Levantine waters. The phytoplankton growth period at the Central Aegean Sea commences slightly earlier (i.e., in late October) and terminates in early/mid-April. However, the initiation and termination in Central Aegean precede by almost a month those in N Aegean. Moreover, the total duration is 168 days and therefore, the growth period in Central Aegean is two weeks shorter than in N Aegean (Fig. 4 and Table 1). The highest Chl-a values of 0.143 mg/m3 are observed during 12–18th March, whereas the growth period mean is 0.112 mg/m3 and the climatology mean is 0.088 mg/m3 (Table 1).
The phenology metrics are comparable to those obtained from on-site measurements, however, there are limited studies on phytoplankton in this region of the Aegean Sea30,81,96. Therefore, we analyzed in situ samples that have been collected in past cruises (Table 2).In situ Chl-a ranges (Table 2) from 0.02 up to 0.31 mg/m3 within the surface layer (0–20 m), with Chl-a peaking during February–March (mean Chl-a 0.163 mg/m3 for this period). A quite similar in situ Chl-a mean is reported also from the deeper layer 0–50 m (0.16 mg/m3 during February–March). First optical depth during these months, as estimated from satellite-derived observations, is approximately 24–25 m on average. High spring Chl-a levels are known to exist in deeper layers of the water column as a result of deep winter mixing in the area30,81. By further assessing the mean phenology indices, the low levels of annual Chl-a mean (< 0.1 mg/m3) in Central Aegean are confirmed (Table 1), indicating the oligotrophic character of the considered region.
Myrtoan Sea
The Myrtoan Sea plays an important role in the water circulation and exchange97 and is characterized by the permanent or recurrent Myrtoan cyclone. It is a relatively shallower region reaching 1000 m at the deepest spots88.
The phenology algorithm indicates that Chl-a values begin to increase during the last week of October and peak (0.11 mg/m3) in late February. The growing period terminates in early/mid April resulting a total duration of 168 days (Fig. 4 and Table 1). According to in situ measurements in September 2020, Chl-a ranged from 0.01 mg/m3 at the surface layer to 0.19 mg/m3 at 50m depth, which is close to our results(Table 2). The first optical depth as estimated from satellite observations was 40 m during this period. Dimiza et al.98 also reported similar Chl-a values during late February 2008 (0.195 mg/m3), indicating the presence of the phytoplankton bloom(Table 1).
Rhodes Gyre in the Aegean Sea
The Rhodes Gyre is a permanent cyclonic gyre in the general circulation of the Levantine Basin in the EMS.99,100. Despite being situated in the Mediterranean’s most oligotrophic basin, it has relatively high primary productivity, linked to the formation of Levantine Intermediate Water101, affecting the distribution of nutrients, the biological activity and the mesozooplankton communities102. The phenology of phytoplankton observed at this region is characterized by a growing period occurring between November (14–20th) and April (23–29th). The total blooming period lasts 161 days and the maximum Chl-a concentration values of 0.185 mg/m3 are recorded in late February-early March (Fig. 4 and Table 1).
In situ measurements obtained from scientific cruises103,104 revealed that Chl-a concentrations in Rhodes gyre show a seasonal pattern with maximum values during late winter-early spring (0.12–0.47 mg/m3) and minimum during late summer-early autumn (0.05–0.16 mg/m3), which is consistent with our results. A recent study by D’Ortenzio et al.99, based on Argo-floats, in situ and satellite data, indicated a similar phytoplankton growing period initiating during late November and ending in late April. In early March, a biomass peak was observed (Chl-a 0.6 mg/m3) as indicated by in situ HPLC data, confirming that the phytoplankton increase is affected by mixed layer depth and nutrients dynamics related to winter mixing. Past satellite-based studies by Pedrosa-Pamies et al.105 and models simulations implemented by Napolitano et al.106 also confirmed that phytoplankton bloom occurred in March (with Chl-a values 0.4 mg/m3), while the lowest Chl-a values were recorded during summer (Chl-a 0.07 mg/m3). Due to nitrates consumption, phytoplankton exhibits a weaker bloom during mid-December to mid-January106. A weaker peak in January is also demonstrated in climatologies Fig. 4. It is evident that in Rhodes gyre region, strong over-turning episodes during winter and atmospheric conditions occasionally result in nutrients pumping into the euphotic zone, leading to unusually high increase of biomass (Chl-a values > 1 mg/m3) and primary production rates106.
Cyclades plateau in the Aegean Sea
The Cyclades archipelago forms a shallow plateau (less than 340 m depth) that separates the Cretan Sea (S Aegean) from the North Aegean; two basins with considerably different hydrographic characteristics shaped by the influence of oligotrophic Levantine Sea waters and more productive BSW, respectively107. Winter convective mixing in the broader area of Cyclades and the S Aegean are known to drive the water column overturn82, causing nutrient enrichment of the euphotic zone and consequently higher phytoplankton biomass production30,81,96. According to these hydrographic features, the Cyclades plateau is a generally oligotrophic region.
Phytoplankton growth is estimated to initiate during 31st October to 6th November and terminate during 9th to 15th April. The duration lasts 161 days, which is the Cretan Sea and the Rhodes, Ierapetra and Pelops gyres. The highest Chl-a values (0.095 mg/m3) are observed during 27 February–5 March. Lower Chl-a levels are found on average for the phytoplankton growth period (0.087 mg/m3) and overall during the whole seasonal cycle (0.069 mg/m3) (Fig. 4 and Table 1).
Due to the scarcity of previous studies in the Cyclades plateau30,96, the comparison of phenology results with in situ Chl-a variations is quite limited. Therefore, we processed sparse in situ Chl-a data from previous campaigns from the region (Table 2), which confirm the climatology seasonal pattern (with higher values in late winter-early spring and lower in summer), revealing a Chl-a range from 0.04 up to occasionally 0.45 mg/m3 on an annual basis. In accordance with our results, the highest in situ Chl-a values were recorded in the surface layer (0–20 m) during February–March, presenting mean values of 0.23 mg/m3. High in situ Chl-a values are also reported from deeper layers during February–March (0.23 mg/m3 at 0–50 m and 0.22 mg/m3 at 0–200 m), which is a known pattern generated by the deep winter mixing of the water column30,81, as for the case of Central Aegean mentioned previously. A stronger than ordinary convection event in Cyclades and the broader South Aegean happened in winter 2008, which homogenized the water column profoundly108. Consequently, an unprecedented spring bloom was documented for the first time in the Cyclades plateau during the end of March-beginning of April, with Chl-a maxima of 0.52 mg/m3 at 100 m and 0.37 mg/m3 at 150 m30.
Cretan Sea in the South Aegean Sea
The Cretan Sea covers the southern part of the Aegean Sea and links the Levantine Basin to the Ionian Sea. The hydrological structure in the Cretan Sea is dominated by multiple scale circulation patterns and intense mesoscale activity. The system is largely driven by the regional hydrodynamics and the occurrence of deep mixing events109. The water circulation is dominated by a succession of anticyclonic (west) and cyclonic (east) eddies forming a west–east dipole110,111.
According to the phenology metrics produced in this study, phytoplankton growth period begins between 7–13th November (Fig. 4 and Table 1). Maximum values of Chl-a and primary production occur in late winter-early spring associated with favourable hydrological conditions and increased diatom abundance, while minimum concentrations occur in late summer63. The maximum Chl-a value according to the climatology time series is recorded in mid-February, reaching 0.09 mg/m3. Gotsis-Skretas et al.112 analyzed the vertical distribution of Chl-a with data collected during four seasonal cruises undertaken from March 1994 to January 1995 and reported the winter and spring as intense mixing periods that result in enhanced phytoplankton growth; a temporal trend that is also captured by the present analysis. Similar observations with higher temporal resolution were obtained during a bimonthly monitoring along an offshore gradient between July 1994 and October 1995 (Table 2), yielding maximum Chl-a values in March–April (0.21–0.39 mg/m3) and minimal in July (0.04–0.05 mg/m3)63. At interannual time scales, the temporal dynamics of phytoplankton growth resemble more those revealed by the phenology analysis in this study, with maximum values recorded earlier, between January and March (0.18–0.24 mg/m3) and lowest values in June–July (0.033 mg/m3). The latter data are incorporated into a compilation of data over 34 years (1987–2020) of phytoplankton studies in the Aegean Sea31, which reveal two peaks, in January and March (0.28 and 0.30 mg/m3, respectively) slightly deviating from the unimodal phenology pattern estimated in this study.
Pelops Gyre in Ionian Sea
The Ionian Sea connects the EMS and the Adriatic Sea. In the south Ionian Sea, the Pelops gyre subsists as an intense anticyclone with variations in shape and dimensions111,113. Its interannual variability is strongly affected by the Atlantic Ionian Stream (AIS)114.
The climatology time series reveal that the lowest Chl-a values are observed during summer. The phytoplankton growing period initiates during late October early November (31st October–6th April), and it ends in mid/late April (16–22 April) (Fig. 4 and Table 1). This is confirmed by the analysis of Lavigne et al.115 who investigated the inter-annual variability of phytoplankton phenology from 1998 to 2012 in the Ionian basin. Within the Pelops gyre, Chl-a concentration peaks (0.08 mg/m3) between 20–26th February, whereas the growth period mean is 0.07 mg/m3 and the climatology mean is 0.055 mg/m3. Moreover, Pelops’ Chl-a levels during the peak period are ranked among the lowest. This is in accordance with previous knowledge upon which the Ionian presents lower Chl-a and particulate organic matter concentrations compared to the Aegean Sea during March–April30,96.
After processing of in situ Chl-a data (Table 2), Chl-a concentrations ranged from 0.016 to 0.169 mg/m3 in the surface layer (0–20 m), which are relatively close to our results. Indeed, the maximal in situ values were also found during February–March, with 0.04 mg/m3 at the surface layer (0–20 m) and increasing Chl-a values in deeper layers (0.055 mg/m3 at 0–50 m and 0.06 mg/m3 at 0–200 m depth). This vertical pattern constitutes the formation of the Deep Chlorophyll Maxima (DCM), which is a permanent characteristic of the Ionian Sea78. The Ionian, together with the Levantine Sea, occupy the most oligotrophic and transparent waters in the Mediterranean. Salgado-Hernanz et al.18 support that in the Ionian Sea only a very low increase of Chl-a concentration occurs in winter (0.1 mg/m3), which results in essentially constant Chl-a throughout the year79. Varkitzi et al.30 reported a clear DCM at 75m in the Ionian, together with very low levels of Chl-a and phytoplankton productivity.
Ierapetra Gyre in Levantine Sea
In the southeast region of Crete the wind-induced Ierapetra anticyclonic gyre116 presents a very strong signature in sea surface height and sea surface temperature88,117. The intense anticyclone presents seasonal as well as inter-annual variability100. It has been proven to be related to topographic Rossby waves118 and possibly enhanced by Etesian winds117.
Based on the climatology analysis, the growth period begins during late October–early November and terminates between the 16th and 22nd of April (Fig. 4 and Table 1). The maximum Chl-a value (0.08 mg/m3) is observed during late February (i.e., 20–26th), and compared to Rhodes gyre it is much lower, indicating a less productive region. Ierapetra gyre represents the lowest growth period mean (0.06 mg/m3) and climatology mean (0.05 mg/m3) among all the other open water regions. Karageorgis et al.119 revealed that in early-mid April 2016 Chl-a values at surface were relatively low (0.04 mg/m3), while the maximum values were found at 75–100 m layer (0.23 mg/m3). Varkitzi et al.30 also confirmed that low Chl-a (0.077 mg/m3) concentrations were, recorded during cruises in Spring and Summer 2008 close to Ierapetra gyre (Levantine sea).
Conclusions
Here, phytoplankton phenology metrics, based on a satellite ocean colour multi-sensor product, were analyzed in order to describe the phytoplankton seasonality in several coastal and open water regions in the EMS. The proposed phenology algorithm has been developed to detect the main phytoplankton growth period, allowing us to record and investigate its growth timing metrics for the entire study area.
Satellite-derived phenological metrics were compared to corresponding indices derived from in situ Chl-a time series in the Saronikos Gulf. This initial validation analysis confirmed the feasibility of measuring phytoplankton phenology from satellite-based ocean colour data at a weekly resolution in the EMS. Following this, climatologies of Chl-a concentration were presented for twenty selected key regions and compared to available (literature or historical samples) in situ Chl-a measurements obtained through from past scientific cruises. Our findings suggest that the current methodological approach detects quite precisely the seasonal variations and phenological metrics of phytoplankton.
We envisage that the phenology atlas presented here will improve the knowledge on ecosystem functioning, spatiotemporal patterns of phytoplankton biomass (food availability) and potential linkages with higher trophic levels, such as filter feeders (e.g., bivalves and sea cucumbers), zooplankton, commercially-important fish, and marine mammals in the EMS. It may also support efforts directed at water quality management, aquaculture activities in coastal areas120, and strategies for HABs monitoring and control121. Future analysis could focus on linking the trends of phenology metrics with physical forcing factors and/or oceanic warming, to further understand evident alterations in bloom timing. Since the EMS has been considered as a hot spot for climate change, future work may focus on phytoplankton indices’ sensitivity and response to extreme warming/cooling episodes (Marine Heatwaves and Cold Spells)122,123. Further research on the interannual variability of ecological indicators, and linkages with fisheries dynamics10 will be also essential for the marine trophic interactions investigation and ecosystem management in the EMS.
Materials and methods
Satellite remote sensing
The sea surface Chl-a concentration (mg/m3) Level-4 multi-sensor (SeaWiFS, MODIS-Aqua, MERIS, and VIIRS sensors) reprocessed product was obtained from the Copernicus Marine Environment Monitoring Service (CMEMS) at 1-day and 1-km resolution. The dataset covers the period from September 1997 to December 2020 for the Mediterranean Sea. The CMEMS chlorophyll product for the Mediterranean Sea is derived through a four-step process. Initially, the MedOC4 Chl algorithm124 tailored for Case I waters is applied to the entire L3 field. Subsequently, the AD4 algorithm125 for Case II waters is applied similarly. Pixels are then classified into the two water types or identified if they do not align precisely with either. Discrimination between these types relies on a pixel-by-pixel comparison of the satellite spectrum with average water type spectral signatures, utilizing in situ measurements for both Case I and Case II waters. The applied algorithms improve the accuracy of the final results, particularly for low chlorophyll values, which describe the majority of the open water EMS126. The in situ dataset, MedBiOp, aids in selecting pure Case II spectra through k-means cluster analysis127. Finally, the two images are merged, incorporating a Mahalanobis distance-based weighting approach. This final dataset provides surface water chlorophyll content approximating one-fifth of the euphotic depth. For more detailed information regarding the dataset and the processing procedures applied, refer to the Product User Manual.
Focused on the eastern part of the Mediterranean Sea, the geographic position of the study area was set between 18.5∘E to 30.6∘E longitude and 32∘N to 42∘N latitude. Prior of being temporally averaged, the quality of the satellite-derived Chl-a concentrations was statistically examined. To achieve this, we utilized a sliding window of 10 x 10 pixels, enabling us to spatially average the data and create time series for each individual window. Outliers were identified using a threshold of ± 2 times the median of the data. Any Chl-a concentration that exceeded this threshold on a given date was flagged as anomalous. To confirm the validity of these flagged dates, a visual examination was conducted to detect irregularities or anomalous values in the data. During this process, we consulted with the data producers (CMEMS) and identified 65 daily files, comprising approximately 0.77% of the total data, which predominantly contained interpolation errors. As a result, these files were excluded from the analysis, ensuring the robustness and accuracy of the findings.
In situ Chl-a data
A long-term in situ dataset from the inner Saronikos Gulf was used to evaluate the performance of the phenology algorithm we used. From 1997 to 2017, in situ Chl-a data were obtained in the frame of the program “Monitoring of Saronikos funded by EYDAP SA” and through numerous scientific cruises in two sampling stations; S11 and S16 (Fig. 5). The scientific cruises were conducted every year (in some cases data were collected every month) in order to be as representative as possible for all the seasons, ultimately resulting in 355 samples in total. To assess Chl-a concentrations, seawater samples were collected from discrete depths of the water column (2, 10, 20, 50 and near the bottom) using 10 L Niskin bottles (Rosette sampler adapted to a CTD type instrument SBE-9 or individually on a hydrowire). Sea water was filtered through Whatman GF/F Microfiber filters (1 or 2 liters of sea water, depending on trophic status of each station). The filters were kept deep frozen in dark at − 15 °C and analyzed at the laboratory on a TURNER TD-700 fluorometer according to the method of Holm-Hansen et al.128. To further evaluate the satellite-derived results, we used in situ Chl-a observations obtained from past scientific cruises in several coastal and open waters. It is important to acknowledge that these in situ measurements exhibited limitations regarding spatial and temporal coverage, as well as missing or inadequately reported information about sampling locations, depths and time. Consequently, a robust statistical comparison with literature-derived in situ values, integrated with the ocean colour dataset, is not feasible due to the scarcity and lack of necessary details. The corresponding projects and cruises are demonstrated in Table 2.
Bathymetry
Sea-floor elevation data with a grid resolution of 1/16*1/16 arc minutes have been derived from the EMODnet Bathymetry portal. This portal was initiated by the European Commission as part of developing the European Marine Observation and Data Network (EMODNet).
Data preprocessing and analysis
The phenology algorithm that was implemented in the current study was based on the cumulative sums of anomalies method, which utilizes a threshold criterion8,16,22,25,129. 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. This approach was chosen to provide a gap-free annual cycle at every pixel in the EMS. This approach is crucial for accurately calculating the phenology metrics since the cumulative sum of anomalies method requires a complete (i.e. no missing data) Chl-a time series as an input. Even though averaging over 7-days reduces the resolution at which events in the phytoplankton growth period can be estimated, it does not significantly affect the spatial pattern of the estimated phenological metrics130. The calendar year was delimited from August to July to ensure that the bloom of interest (i.e., winter-to-spring bloom) is centered in the time series, as shown in Figs. 3 and 4. The threshold criterion was used to estimate the phenological indices of the timing of initiation, peak, termination, and duration of phytoplankton growth, based on the weekly Chl-a climatology time series. In particular, the threshold criterion was defined as the long-term median plus 10% per pixel. Chl-a anomalies were calculated by subtracting the threshold criterion from the climatology, and the cumulative sums were then computed. Lastly, the gradient of the cumulative sums of anomalies was smoothed with a Gaussian filter and employed to identify the desired phenology metrics. In addition to the metrics mentioned earlier, we also calculated the average Chl-a value of the seasonal cycle (i.e., climatology mean or MeanChl-a), which is presented in Table 1.
Phenology indicators
Different threshold criteria were tested varying from 5% to 20% plus median, before the final choice was made. Choosing a low threshold criterion would detect longer blooming periods and/or multiple secondary blooms. On the contrary, a higher threshold criterion would possibly exceed the higher maximum chlorophyll values within the growing period, resulting in “no-bloom” cases. The choice of threshold is arbitrary, and depends on the type of the analysis (e.g., interannual or seasonal), and several thresholds have been implemented in several regions of the world’s oceans10,22,25,129,131. This method is built to detect the characteristics of the main phytoplankton blooming period, without taking into consideration any secondary blooms. The timing of initiation and termination were identified as the times when Chl-a concentration rose above and fell below the threshold criterion (i.e., when the gradient of the time series changed sign). The duration is calculated as the number of 7-day composites between the timing of initiation and termination, while the peak is identified once Chl-a reaches its highest signal. In order to investigate the seasonal cycles of several coastal and open sea regions, we modified the pixel-based approach to accommodate multiple pixels (i.e., slices). This modification allowed us to generate the climatology time series and phenology metrics for each specific area considered. The data averaged in space for deriving these climatology time series and phenology metrics are represented by the black rectangles in Figs. 3 and 4. A schematic representation of the phenology method is shown in Fig. 6.
Validation of satellite-derived phenology
To validate the outputs of the phenology algorithm with the available in situ datasets, the diffuse attenuation coefficient Kd(490) was estimated, which represents the light attenuation within the water column. For the Kd determination in inner Saronikos Gulf (where the long-term in situ datasets are), we utilized the CMEMS daily L3 Kd product with a spatial resolution of 1 km132–134. The first optical depth (Z90)135 in the inner Saronikos Gulf was calculated using the following equation: Z90 = 1/Kd(490). Then, we temporally aligned the daily Kd values with daily in situ Chl-a measurements. To obtain Chl-a values at depths from 1 to 75 m with 1 m intervals, we performed a linear interpolation of the in situ Chl-a data. Finally, we estimated Chl-a integrated within the first optical depth using the trapezoidal rule.
For the comparison of phenological indices derived from satellite observations and in situ data, the two datasets were matched in time and space. Using the exact same dates and station locations, the daily Chl-a observations were extracted from the remote sensing data. The weekly (7-day) time series for both datasets were produced and the phenology metrics were calculated as described above (refer to the Phenology Indicators subsection for details).
Potential biases
While each coastal region may exhibit unique optical characteristics, the good agreement between in situ and satellite-derived phenology metrics serves as a valuable benchmark for establishing the broader utility of satellite-derived Chl-a data for phenology studies. This approach allows us to assess temporal phytoplankton dynamics in regions where in situ sampling is challenging, enhancing the applicability of our findings across various ecosystems.
Outliers can potentially influence the computation of phenology metrics. To mitigate this, we conducted extensive data preprocessing, including outlier detection and removal, as described in the Materials and Methods section. We also recognized the importance of selecting an appropriate threshold, that is aligned with our seasonal analysis and the biological dynamics of the study region.
Additionally, it is well known that satellite-derived ocean colour measurements of Chl-a concentrations, has acknowledged weaknesses (i.e., case II waters, optically complex waters, bottom reflectance in coastal zones), where algorithms over/underestimate the absolute chlorophyll measurements136,137. Here we utilized a product that is based on the regionally-tuned Mediterranean algorithm OC4124. Regardless of the fact that the MED-OC4 algorithm was employed, it is important to note that it may still exhibit variations in estimating absolute chlorophyll values, particularly in regions situated closer to the coastlines. However, the phenology indices are produced on relative changes and trends of phytoplankton seasonal cycles. Therefore, the phytoplankton growing season is calculated based on variations of Chl-a over time rather than on the absolute Chl-a values. In addition, to verify the phenology outputs, we validated the final results with a long term in situ Chl-a time series.
Acknowledgements
This research work was supported by the Hellenic Foundation for Research and Innovation (H.F.R.I.) under the 2nd Call of “Research Projects to Support Faculty Members & Researchers” scheme (Programme OPTIMISE, grant number: 04808). We thank Marie-Fanny Racault for the discussion on the implementation of the phenology threshold criterion algorithm, and John A. Gittings for suggestions on an earlier version of the manuscript. I.V. acknowledges support from the EU Horizon 2020 project “Marine-EO: Bridging Innovative Downstream Earth Observation and Copernicus enabled Services for Integrated maritime environment, surveillance and security”. Additionally, we extend our gratitude to Eleni Livanou for her valuable insights in calculating the integrated Chl-a, and Spyridon Chaikalis for useful discussions on marine optics. The authors would like to thank the captains and the crews of the R/V “Aegaeo” of the Hellenic Centre for Marine Research (HCMR), who made the data collection possible. We acknowledge the Copernicus Marine Environment Monitoring Service (CMEMS) for providing Chl products tailored to the Mediterranean Sea and the CMEMS team for providing necessary information on data cleaning. The authors would like to thank the guest Editor and the two anonymous Reviewers for critically revising the manuscript.
Author contributions
A.K., D.E.R., K.Ka. designed the research; A.K. carried out the data analysis, wrote the manuscript, and prepared the original draft.; K.Ki performed the calculation of the fist optical depth; A.K., K.Ki., I.V., G.A., S.P. supported the writing of literature review for several areas; A.K. produced the figures; D.E.R., K.Ka. supervised this research; all authors participated in the discussion of the results, reviewed and edited the manuscript.
Data availibility
The in situ Chl-a dataset used in the present analysis is available on reasonable request. Ocean colour and bathymetry datasets are freely available at https://marine.copernicus.eu/(OCEANCOLOUR_MED_BGC_L4_MY_009_144 and OCEANCOLOUR_MED_BGC_L3_MY_009_143) and https://emodnet.ec.europa.eu/en, respectively.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Field CB, Behrenfeld MJ, Randerson JT, Falkowski P. Primary production of the biosphere: Integrating terrestrial and oceanic components. Science. 1998;281:237–240. doi: 10.1126/science.281.5374.237. [DOI] [PubMed] [Google Scholar]
- 2.Falkowski PG, et al. The evolution of modern eukaryotic phytoplankton. Science. 2004;305:354–360. doi: 10.1126/science.1095964. [DOI] [PubMed] [Google Scholar]
- 3.Tweddle JF, Gubbins M, Scott BE. Should phytoplankton be a key consideration for marine management? Mar. Policy. 2018;97:1–9. doi: 10.1016/j.marpol.2018.08.026. [DOI] [Google Scholar]
- 4.FAO et al.The State of Mediterranean and Black Sea Fisheries 2016 (General Fisheries Commission for the Mediterranean, 2016). FAO Rome.
- 5.Platt T, Fuentes-Yaco C, Frank KT. Spring algal bloom and larval fish survival off Nova Scotia. Nature. 2003;423:398–399. doi: 10.1038/423398b. [DOI] [PubMed] [Google Scholar]
- 6.Platt T, Sathyendranath S. Ecological indicators for the pelagic zone of the ocean from remote sensing. Remote Sens. Environ. 2008;112:3426–3436. doi: 10.1016/j.rse.2007.10.016. [DOI] [Google Scholar]
- 7.Racault MF, et al. Plankton indicators and ocean observing systems: Support to the marine ecosystem state assessment. J. Plankton Res. 2014;36:621–629. doi: 10.1093/plankt/fbu016. [DOI] [Google Scholar]
- 8.Gittings JA, Raitsos DE, Krokos G, Hoteit I. Impacts of warming on phytoplankton abundance and phenology in a typical tropical marine ecosystem. Sci. Rep. 2018;8:1–12. doi: 10.1038/s41598-018-20560-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Brewin RJ, et al. Sensing the ocean biological carbon pump from space: A review of capabilities, concepts, research gaps and future developments. Earth Sci. Rev. 2021;217:103604. doi: 10.1016/j.earscirev.2021.103604. [DOI] [Google Scholar]
- 10.Gittings JA, Raitsos DE, Brewin RJ, Hoteit I. Links between phenology of large phytoplankton and fisheries in the northern and central Red Sea. Remote Sens. 2021;13:1–18. doi: 10.3390/rs13020231. [DOI] [Google Scholar]
- 11.McQuatters-Gollop A, et al. The Continuous Plankton Recorder survey: How can long-term phytoplankton datasets contribute to the assessment of Good Environmental Status? Estuar. Coast. Shelf Sci. 2015;162:88–97. doi: 10.1016/j.ecss.2015.05.010. [DOI] [Google Scholar]
- 12.Hays GC, Richardson AJ, Robinson C. Climate change and marine plankton. Trends Ecol. Evol. 2005;20:337–344. doi: 10.1016/j.tree.2005.03.004. [DOI] [PubMed] [Google Scholar]
- 13.Dave AC, Lozier MS. Examining the global record of interannual variability in stratification and marine productivity in the low-latitude and mid-latitude ocean. J. Geophys Res Oceans. 2013;118:3114–3127. doi: 10.1002/jgrc.20224. [DOI] [Google Scholar]
- 14.Platt T, et al. Diagnostic properties of phytoplankton time series from remote sensing. Estuaries Coasts. 2010;33:428–439. doi: 10.1007/s12237-009-9161-0. [DOI] [Google Scholar]
- 15.Siswanto E, Tanaka K. Phytoplankton biomass dynamics in the strait of Malacca within the period of the SeaWiFS full mission: Seasonal cycles, interannual variations and decadal-scale trends. Remote Sens. 2014;6:2718–2742. doi: 10.3390/rs6042718. [DOI] [Google Scholar]
- 16.Demetriou M, et al. Phytoplankton phenology in the coastal zone of cyprus, based on remote sensing and in situ observations. Remote Sens. 2022;14:1–16. doi: 10.3390/rs14010012. [DOI] [Google Scholar]
- 17.Racault M-F, Sathyendranath S, Menon N, Platt T. Phenological Responses to ENSO in the Global Oceans. Surv. Geophys. 2017;38:277–293. doi: 10.1007/s10712-016-9391-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Salgado-Hernanz PM, Racault MF, Font-Muñoz JS, Basterretxea G. Trends in phytoplankton phenology in the Mediterranean Sea based on ocean-colour remote sensing. Remote Sens. Environ. 2019;221:50–64. doi: 10.1016/j.rse.2018.10.036. [DOI] [Google Scholar]
- 19.McClain CR. A decade of satellite ocean color observations. Ann. Rev. Mar. Sci. 2009;1:19–42. doi: 10.1146/annurev.marine.010908.163650. [DOI] [PubMed] [Google Scholar]
- 20.Koeller P, et al. Basin-scale coherence in phenology of shrimps and phytoplankton in the North Atlantic Ocean. Science. 2009;324:791–793. doi: 10.1126/science.1170987. [DOI] [PubMed] [Google Scholar]
- 21.Lo-Yat A, et al. Extreme climatic events reduce ocean productivity and larval supply in a tropical reef ecosystem. Glob. Change Biol. 2011;17:1695–1702. doi: 10.1111/j.1365-2486.2010.02355.x. [DOI] [Google Scholar]
- 22.Racault MF, Quéré CL, Buitenhuis E, Sathyendranath S, Platt T. Phytoplankton phenology in the global ocean. Ecol. Ind. 2012;14:152–163. doi: 10.1016/j.ecolind.2011.07.010. [DOI] [Google Scholar]
- 23.Coll M, et al. The biodiversity of the Mediterranean Sea: Estimates, patterns, and threats. PLoS ONE. 2010;5:e11842. doi: 10.1371/journal.pone.0011842. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Mouillot D, et al. Protected and threatened components of fish biodiversity in the Mediterranean Sea. Curr. Biol. 2011;21:1044–1050. doi: 10.1016/j.cub.2011.05.005. [DOI] [PubMed] [Google Scholar]
- 25.Racault MF, et al. Phytoplankton phenology indices in coral reef ecosystems: Application to ocean-color observations in the Red Sea. Remote Sens. Environ. 2015;160:222–234. doi: 10.1016/j.rse.2015.01.019. [DOI] [Google Scholar]
- 26.Asimakopoulou, G. et al. Chlorophyll and zooplankton biomass in Saronikos Gulf: Trends and conclusions for the period 1987-2010 (in Greek). In 11th Panhellenic symposium on oceanography and fisheries, vol. 2, 529–532 (2015).
- 27.Pavlidou A, et al. Seasonal and spatial nutrient dynamics in Saronikos Gulf: The impact of sewage effluents from athens sewage treatment plant. In: Ansari AA, Gill SS, et al., editors. Eutrophication: Causes, Consequences and Control. Dordrecht: Springer; 2014. pp. 111–130. [Google Scholar]
- 28.Berline L, et al. Intercomparison of six Mediterranean zooplankton time series. Prog. Oceanogr. 2012;97–100:76–91. doi: 10.1016/j.pocean.2011.11.011. [DOI] [Google Scholar]
- 29.Kotta D, Kitsiou D. Chlorophyll in the eastern Mediterranean Sea: Correlations with environmental factors and trends. Environ. MDPI. 2019 doi: 10.3390/environments6080098. [DOI] [Google Scholar]
- 30.Varkitzi I, et al. Phytoplankton dynamics and bloom formation in the oligotrophic Eastern Mediterranean: Field studies in the Aegean, Levantine and Ionian seas. Deep-Sea Res. Part II: Top. Stud. Oceanogr. 2020;171:104662. doi: 10.1016/j.dsr2.2019.104662. [DOI] [Google Scholar]
- 31.Psarra, S. et al. Phytoplankton dynamics in the Aegean Sea. In The Handbook of Environmental Chemistry, 1–26, (Springer Berlin Heidelberg, Berlin, Heidelberg, 2022). 10.1007/698_2022_903
- 32.Tsikoti C, Genitsaris S. Review of harmful algal blooms in the coastal Mediterranean Sea, with a focus on Greek water. Diversity. 2021;13:1–22. doi: 10.3390/d13080396. [DOI] [Google Scholar]
- 33.Pagou, K., Siokou-Frangou, I. & Papathanassiou, E. Nutrients and their ratios in relation to eutrophication and HAB occurrence. The case of Eastern Mediterranean coastal waters. In Second Workshop on “Thresholds of Environmental Sustainability: The case of nutrients, 18–19 (2002).
- 34.Simboura N, Panayotidis P, Papathanassiou E. A synthesis of the biological quality elements for the implementation of the European Water Framework Directive in the Mediterranean ecoregion: The case of Saronikos Gulf. Ecol. Ind. 2005;5:253–266. doi: 10.1016/j.ecolind.2005.03.006. [DOI] [Google Scholar]
- 35.Pavlidou A, et al. Methods of eutrophication assessment in the context of the water framework directive: Examples from the Eastern Mediterranean coastal areas. Cont. Shelf Res. 2015;108:156–168. doi: 10.1016/j.csr.2015.05.013. [DOI] [Google Scholar]
- 36.Varkitzi I, et al. Effect of river inputs on environmental status and potentially harmful phytoplankton in an eastern Mediterranean coastal area (Maliakos Gulf, Greece) Mediterr. Mar. Sci. 2018;19:326–343. doi: 10.12681/mms.14591. [DOI] [Google Scholar]
- 37.Androulidakis, Y. et al. Ocean circulation effects on eutrophication in Thermaikos Gulf. In: 4th Int. Congress on Applied Ichthyology & Aq. Environment 5 (2021).
- 38.Tsiaras KP, et al. Inter-annual productivity variability in the North Aegean Sea: Influence of thermohaline circulation during the Eastern Mediterranean Transient. J. Mar. Syst. 2012;96–97:72–81. doi: 10.1016/j.jmarsys.2012.02.003. [DOI] [Google Scholar]
- 39.Siokou, I. et al. The marine ecosystem and the anthropogenic impacts in the South Evoikos Gulf: Central Aegean Sea. In The Handbook of Environmental Chemistry, 1–32, 10.1007/698_2021_842 (Springer Berlin Heidelberg, Berlin, Heidelberg, 2022).
- 40.Karageorgis AP, et al. An integrated approach to watershed management within the DPSIR framework: Axios River catchment and Thermaikos Gulf. Reg. Environ. Change. 2005;5:138–160. doi: 10.1007/s10113-004-0078-7. [DOI] [Google Scholar]
- 41.Nikolaidis NP, et al. Circulation and nutrient modeling of Thermaikos Gulf, Greece. J. Mar. Syst. 2006;60:51–62. doi: 10.1016/j.jmarsys.2005.11.007. [DOI] [Google Scholar]
- 42.Skoulikidis NT. Significance evaluation of factors controlling river water composition. Environ. Geol. 1993;22:178–185. doi: 10.1007/BF00789329. [DOI] [Google Scholar]
- 43.Tsiaras KP, Petihakis G, Kourafalou VH, Triantafyllou G. Impact of the river nutrient load variability on the North Aegean ecosystem functioning over the last decades. J. Sea Res. 2014;86:97–109. doi: 10.1016/j.seares.2013.11.007. [DOI] [Google Scholar]
- 44.Pagou, K. Eutrophication in Hellenic coastal areas. State of the Hellenic marine environment. Hellenic Center for Marine Research, Institute of Oceanography, Athens, Greece, 311–317 (2005).
- 45.Kontoyiannis H, Kourafalou VH, Papadopoulos V. Seasonal characteristics of the hydrology and circulation in the northwest Aegean Sea (eastern Mediterranean): Observations and modeling. J. Geophys. Res. Oceans. 2003 doi: 10.1029/2001jc001132. [DOI] [Google Scholar]
- 46.Genitsaris S, Stefanidou N, Sommer U, Moustaka-Gouni M. Phytoplankton blooms, red tides and mucilaginous aggregates in the urban Thessaloniki Bay, Eastern Mediterranean. Diversity. 2019 doi: 10.3390/d11080136. [DOI] [Google Scholar]
- 47.Moncheva S, Gotsis-Skretas O, Pagou K, Krastev A. Phytoplankton Blooms in Black Sea and Mediterranean coastal ecosystems subjected to anthropogenic eutrophication: Similarities and differences. Estuar. Coast. Shelf Sci. 2001;53:281–295. doi: 10.1006/ecss.2001.0767. [DOI] [Google Scholar]
- 48.Nikolaidis G, et al. Harmful microalgal episodes in Greek coastal waters. J. Biol. Res. Thessal. 2005;3:77–85. [Google Scholar]
- 49.Varkitzi, I. et al. Spatio-temporal distribution of Dinophysis spp. in relation to particulate organic matter and other parameters in Thermaikos Gulf, Greece Eastern Mediterranean). In Proceedings of the 14th International Conference on Harmful Algae, 51–53 (2013).
- 50.Ferentinos G, et al. Fjord water circulation patterns and dysoxic/anoxic conditions in a Mediterranean semi-enclosed embayment in the Amvrakikos Gulf, Greece. Estuar. Coast. Shelf Sci. 2010;88:473–481. doi: 10.1016/j.ecss.2010.05.006. [DOI] [Google Scholar]
- 51.Kountoura K, Zacharias I. Trophic state and oceanographic conditions of Amvrakikos Gulf: Evaluation and monitoring. Desalin. Water Treat. 2013;51:2934–2944. doi: 10.1080/19443994.2012.748442. [DOI] [Google Scholar]
- 52.Ignatiades L, Gotsis-Skretas O. A review on toxic and harmful algae in Greek coastal waters (E. Mediterranean Sea) Toxins. 2010;2:1019–1037. doi: 10.3390/toxins2051019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Vantarakis A, et al. Impact on the quality of life when living close to a municipal wastewater treatment plant. J. Environ. Public Health. 2016;2016:8467023. doi: 10.1155/2016/8467023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Simboura N, et al. Assessment of the environmental status in the Hellenic coastal waters (Eastern Mediterranean): From the Water Framework Directive to the Marine Strategy Framework Directive. Mediterr. Mar. Sci. 2015;16:46–64. doi: 10.12681/mms.960. [DOI] [Google Scholar]
- 55.IUCN. Final Report of the Workshop: First IMMA Regional Workshop for the Mediterranean. Marine Mammal Protected Areas Task Force 24–28 (2017).
- 56.Botsou F, Hatzianestis I. Polycyclic aromatic hydrocarbons (PAHs) in marine sediments of the Hellenic coastal zone, eastern Mediterranean: levels, sources and toxicological significance. J. Soils Sediments. 2012;12:265–277. doi: 10.1007/s11368-011-0453-1. [DOI] [Google Scholar]
- 57.Bonizzoni S, et al. Modelling dolphin distribution within an Important Marine Mammal Area in Greece to support spatial management planning. Aquat. Conserv. Mar. Freshwat. Ecosyst. 2019;29:1665–1680. doi: 10.1002/aqc.3148. [DOI] [Google Scholar]
- 58.Assimakopoulou, G. & Konstadinopoulou, A. Phytoplankton: Distributions of chlorophyll. In Monitoring of the marine environment quality (MEDPOL KORINTHIAKOS) 2004–2005 (2005).
- 59.Siokou-Frangou I. Zooplankton annual cycle in a Mediterranean coastal area. Plankton Res. 1996;18:203–233. doi: 10.1093/plankt/18.2.203. [DOI] [Google Scholar]
- 60.Ioakeimidis C, et al. A comparative study of marine litter on the seafloor of coastal areas in the Eastern Mediterranean and Black Seas. Mar. Pollut. Bull. 2014;89:296–304. doi: 10.1016/j.marpolbul.2014.09.044. [DOI] [PubMed] [Google Scholar]
- 61.Pavlidou A. Nutrient distribution in selected coastal areas of Aegean Sea (East Mediterranean Sea) J. Environ. Sci. Eng. A. 2012;1:78–88. [Google Scholar]
- 62.Kontoyiannis, H. Inner Saronikos Gulf: Turbidity, salinity, north winds and water quality. In 9th Symposium on Oceanography & Fisheries, 468–472 (2009).
- 63.Psarra S, Tselepides A, Ignatiades L. Primary productivity in the oligotrophic Cretan Sea (NE Mediterranean): Seasonal and interannual variability. Prog. Oceanogr. 2000;46:187–204. doi: 10.1016/S0079-6611(00)00018-5. [DOI] [Google Scholar]
- 64.Pesmatzoglou, I. & Psarra, S. Phytoplankton spring dynamics and productivity in relation to physicochemical factors in an oligotrophic coastal ecosystem of Eastern Mediterranean. In Eur-Oceans Redfield Research Workshop “Macro nutrient dynamics in marine ecosystems” (2007).
- 65.Dimitriou PD, et al. Mussel farming in Maliakos Gulf and quality indicators of the marine environment: Good benthic below poor pelagic ecological status. Mar. Pollut. Bull. 2015;101:784–793. doi: 10.1016/j.marpolbul.2015.09.035. [DOI] [PubMed] [Google Scholar]
- 66.Markogianni V, Varkitzi I, Pagou K, Dimitriou E. Nutrient flows and related impacts between a Mediterranean river and the associated coastal area. Cont. Shelf Res. 2017;134:1–14. doi: 10.1016/j.csr.2016.12.014. [DOI] [Google Scholar]
- 67.Kormas KA, et al. Microbial food web structure and its impact on primary production in a meso-Oligotrophic Coastal Area (Pagasitikos Gulf, Aegean Sea) Turk. J. Fish. Aquat. Sci. 2014;14:527–537. doi: 10.4194/1303-2712-v14\_2_24. [DOI] [Google Scholar]
- 68.Friligos N, Gotsis-Skretas O. Eutrophication and red tide in Aegean coastal waters. Toxicol. Environ. Chem. 1989;24:171–180. doi: 10.1080/02772248909357487. [DOI] [Google Scholar]
- 69.Petihakis G, Triantafyllou G, Pollani A, Koliou A, Theodorou A. Field data analysis and application of a complex water column biogeochemical model in different areas of a semi-enclosed basin: towards the development of an ecosystem management tool. Mar. Environ. Res. 2005;59:493–518. doi: 10.1016/j.marenvres.2004.07.004. [DOI] [PubMed] [Google Scholar]
- 70.Raitsos DE, et al. Assessing chlorophyll variability in relation to the environmental regime in Pagasitikos Gulf, Greece. J. Mar. Sys. 2012;94:S16–S22. doi: 10.1016/j.jmarsys.2011.11.003. [DOI] [Google Scholar]
- 71.Petihakis G, Triantafyllou G, Korres G, Pollani A, Theodorou A. Ecosystem modeling: Towards the development of a management tool for a marine coastal system. Part I: General circulation, hydrological and dynamical structure. J. Mar. Syst. 2012 doi: 10.1016/j.jmarsys.2011.11.005. [DOI] [Google Scholar]
- 72.Korres G, et al. A data assimilation tool for the Pagasitikos Gulf ecosystem dynamics: Methods and benefits. J. Mar. Syst. 2012 doi: 10.1016/j.jmarsys.2011.11.004. [DOI] [Google Scholar]
- 73.Zervakis V, Georgopoulos D. Hydrology and circulation in the North Aegean (eastern Mediterranean) throughout 1997 and 1998. Mediterr. Mar. Sci. 2002;3:5–19. doi: 10.12681/mms.254. [DOI] [Google Scholar]
- 74.Kolovoyiannis, V. N. et al. Summer snapshot of physical variables and chlorophyll-a in nine gulfs of the Aegean Sea. In Proc. 11th Panhellenic Symposium Oceanography and Fishing, 521–524 (2015).
- 75.Gotsis-Skretas, O. & Ignatiades, L. Phytoplankton in Pelagic and Coastal Waters. In E. Papathanassiou, A. Zenetos (ed.) State of the Marine Environment Report, 187–193 (HCMR, 2005).
- 76.Ignatiades L, Gotsis-Skretas O, Metaxatos A. Field and culture studies on the ecophysiology of the toxic dinoflagellate Alexandrium minutum (Halim) present in Greek coastal waters. Harmful Algae. 2007;6:153–165. doi: 10.1016/j.hal.2006.04.002. [DOI] [Google Scholar]
- 77.D’Ortenzio F, D’Alcalà MR. On the trophic regimes of the Mediterranean Sea: A satellite analysis. Biogeosciences. 2009;6:139–148. doi: 10.5194/bg-6-139-2009. [DOI] [Google Scholar]
- 78.Lavigne H, et al. On the vertical distribution of the chlorophyll a concentration in the Mediterranean Sea: A basin-scale and seasonal approach. Biogeosciences. 2015;12:5021–5039. doi: 10.5194/bg-12-5021-2015. [DOI] [Google Scholar]
- 79.Barbieux M, et al. Assessing the variability in the relationship between the particulate backscattering coefficient and the chlorophyll a concentration from a global biogeochemical-Argo database. J. Geophys. Res. Oceans. 2018;123:1229–1250. doi: 10.1002/2017JC013030. [DOI] [Google Scholar]
- 80.Siokou-Frangou I, et al. Plankton in the open Mediterranean Sea: A review. Biogeosciences. 2010;7:1543–1586. doi: 10.5194/bg-7-1543-2010. [DOI] [Google Scholar]
- 81.Ignatiades L, et al. Phytoplankton size-based dynamics in the Aegean Sea (Eastern Mediterranean) J. Mar. Syst. 2002;36:11–28. doi: 10.1016/S0924-7963(02)00132-X. [DOI] [Google Scholar]
- 82.Lykousis V, et al. Major outputs of the recent multidisciplinary biogeochemical researches undertaken in the Aegean Sea. J. Mar. Syst. 2002;33–34:313–334. doi: 10.1016/S0924-7963(02)00064-7. [DOI] [Google Scholar]
- 83.Siokou-Frangou I, et al. Carbon flow in the planktonic food web along a gradient of oligotrophy in the Aegean Sea (Mediterranean Sea) J. Mar. Syst. 2002;33–34:335–353. doi: 10.1016/S0924-7963(02)00065-9. [DOI] [Google Scholar]
- 84.Pavlidou A, et al. Seasonal variations of biochemical and optical properties, physical dynamics and N stable isotopic composition in three northeastern Mediterranean basins (Aegean, Cretan and Ionian Seas) Deep-Sea Res. Part II Top. Stud. Oceanogr. 2020 doi: 10.1016/j.dsr2.2019.104704. [DOI] [Google Scholar]
- 85.Zervakis V, Georgopoulos D, Drakopoulos PG. The role of the North Aegean in triggering the recent Eastern Mediterranean climatic changes. J. Geophys. Res. Oceans. 2000;105:26103–26116. doi: 10.1029/2000jc900131. [DOI] [Google Scholar]
- 86.Velaoras, D., Zervakis, V. & Theocharis, A. The physical characteristics and dynamics of the Aegean water masses. In he Handbook of Environmental Chemistry (Springer, Berlin, Heidelberg, 2021).
- 87.Zervakis, V., Theocharis, A. & Georgopoulos, D. Circulation and hydrography of the open seas. In Papathanasiou, V. & Zenetos, A. (eds.) SoHelME. State of the Hellenic Marine Environment (HCMR, 2005).
- 88.Theocharis A, Georgopoulos D. Dense water formation over the Samothraki and Limnos Plateaux in the north Aegean Sea (Eastern Mediterranean Sea) Cont. Shelf Res. 1993;13:919–939. doi: 10.1016/0278-4343(93)90017-R. [DOI] [Google Scholar]
- 89.Sempéré R, Panagiotopoulos C, Lafont R, Marroni B, Van Wambeke F. Total organic carbon dynamics in the Aegean Sea. J. Mar. Syst. 2002;33–34:355–364. doi: 10.1016/S0924-7963(02)00066-0. [DOI] [Google Scholar]
- 90.Tugrul S, Besiktepe T, Salihoglu I. Nutrient exchange fluxes between the Aegean and Black Seas through the Marmara Sea. Mediterr. Mar. Sci. 2002;3:33–42. doi: 10.12681/mms.256. [DOI] [Google Scholar]
- 91.Zeri C, et al. Chemical properties and fluorescence of DOM in relation to biodegradation in the interconnected Marmara-North Aegean Seas during August 2008. J. Mar. Syst. 2014;135:124–136. doi: 10.1016/j.jmarsys.2013.11.019. [DOI] [Google Scholar]
- 92.Frangoulis C, et al. Expanding zooplankton standing stock estimation from meso- to metazooplankton: A case study in the N. Aegean Sea (Mediterranean Sea) Cont. Shelf Res. 2017;149:151–161. doi: 10.1016/j.csr.2016.10.004. [DOI] [Google Scholar]
- 93.Lagaria A, Psarra S, Gogou A, Tuǧrul S, Christaki U. Particulate and dissolved primary production along a pronounced hydrographic and trophic gradient (Turkish Straits System-NE Aegean Sea) J. Mar. Syst. 2013;119–120:1–10. doi: 10.1016/j.jmarsys.2013.02.009. [DOI] [Google Scholar]
- 94.Lagaria A, et al. Phytoplankton variability and community structure in relation to hydrographic features in the NE Aegean frontal area (NE Mediterranean Sea) Cont. Shelf Res. 2017;149:9. doi: 10.1016/j.csr.2016.12.002. [DOI] [Google Scholar]
- 95.Karageorgis AP, et al. Particle characterization and composition in the NE Aegean Sea: Combining optical methods and biogeochemical parameters. Cont. Shelf Res. 2017;149:96–111. doi: 10.1016/j.csr.2017.03.008. [DOI] [Google Scholar]
- 96.Karageorgis AP, et al. Spatial and seasonal variability of particulate matter optical and size properties in the Eastern Mediterranean Sea. J. Mar. Syst. 2012;105–108:123–134. doi: 10.1016/j.jmarsys.2012.07.003. [DOI] [Google Scholar]
- 97.Kassis D, Krasakopoulou E, Korres G, Petihakis G, Triantafyllou GS. Hydrodynamic features of the South Aegean Sea as derived from Argo T/S and dissolved oxygen profiles in the area. Ocean Dyn. 2016;66:1449–1466. doi: 10.1007/s10236-016-0987-2. [DOI] [Google Scholar]
- 98.Dimiza MD, Triantaphyllou MV, Krasakopoulou E. Coccolithophores (calcareous nannoplankton) distribution in the surface waters of the western Cretan Straits (South Aegean Sea): Productivity and relation with the circulation pattern. Hellenic J. Geosci. 2011;45:55–64. [Google Scholar]
- 99.D’Ortenzio F, et al. BGC-Argo floats observe nitrate injection and spring phytoplankton increase in the surface layer of Levantine Sea (Eastern Mediterranean) Geophys. Res. Lett. 2021;48:1–11. doi: 10.1029/2020GL091649. [DOI] [Google Scholar]
- 100.Velaoras D, Papadopoulos VP, Kontoyiannis H, Cardin V, Civitarese G. Water masses and hydrography during April and June 2016 in the Cretan Sea and Cretan Passage (Eastern Mediterranean Sea) Deep-Sea Res. Part II Top. Stud. Oceanogr. 2019;164:25–40. doi: 10.1016/j.dsr2.2018.09.005. [DOI] [Google Scholar]
- 101.Lascaratos A, Roether W, Nittis K, Klein B. Recent changes in deep water formation and spreading in the eastern Mediterranean Sea: A review. Prog. Oceanogr. 1999;44:5–36. doi: 10.1016/S0079-6611(99)00019-1. [DOI] [Google Scholar]
- 102.Protopapa M, Zervoudaki S, Assimakopoulou G, Velaoras D, Koppelmann R. Mesozooplankton community structure in the Eastern Mediterranean Sea. J. Mar. Syst. 2020;211:103401. doi: 10.1016/j.jmarsys.2020.103401. [DOI] [Google Scholar]
- 103.Ediger D, Yilmaz A. Characteristics of deep chlorophyll maximum in the Northeastern Mediterranean with respect to environmental conditions. J. Mar. Syst. 1996;9:291–303. doi: 10.1016/S0924-7963(96)00044-9. [DOI] [Google Scholar]
- 104.Siokou-Frangou I, Gotsis-Skretas O, Christou ED, Pagou K. Plankton characteristics in the Aegean, Ionian and NW Levantine Seas. In: Malanotte-Rizzoli P, editor. The Eastern Mediterranean as a Laboratory Basin for the Assessment of Contrasting Ecosystems. Dordrecht: Springer; 1999. pp. 205–223. [Google Scholar]
- 105.Pedrosa-Pamies R, et al. Atmospheric and oceanographic forcing impact particle flux composition and carbon sequestration in the Eastern Mediterranean Sea: A three-year time-series study in the deep Ierapetra Basin. Front. Earth Sci. 2021 doi: 10.3389/feart.2021.591948. [DOI] [Google Scholar]
- 106.Napolitano E, Oguz T, Malanotte-Rizzoli P, Yilmaz A, Sansone E. Simulations of biological production in the Rhodes and Ionian basins of the eastern Mediterranean. J. Mar. Syst. 2000;24:277–298. doi: 10.1016/S0924-7963(99)00090-1. [DOI] [Google Scholar]
- 107.Zervakis V, Nittis K, Perivoliotis L, Tziavos C. A comparison of model predictions to observations of seasonal variability and circulation in the Eastern Mediterranean. Glob. Atmos. Ocean Syst. 2002;8:141–162. doi: 10.1080/1023673029000003516. [DOI] [Google Scholar]
- 108.Velaoras D, et al. Temperature and salinity variability in the Greek Seas based on POSEIDON stations time series: Preliminary results D. Mediterr. Mar. Sci. 2013;14:5–18. doi: 10.12681/mms.446. [DOI] [Google Scholar]
- 109.Georgopoulos D, et al. Hydrology and circulation in the Southern Cretan Sea during the CINCS experiment (May 1994-September 1995) Prog. Oceanogr. 2000;46:89–112. doi: 10.1016/S0079-6611(00)00014-8. [DOI] [Google Scholar]
- 110.Zodiatis G. Circulation of the Cretan Sea water masses (eastern Mediterranean Sea) Oceanol. Acta. 1993;16:107–114. [Google Scholar]
- 111.Theocharis A, Balopoulos E, Kioroglou S, Kontoyiannis H, Iona A. A synthesis of the circulation and hydrography of the South Aegean Sea and the Straits of the Cretan Arc (March 1994-January 1995) Prog. Oceanogr. 1999;44:469–509. doi: 10.1016/S0079-6611(99)00041-5. [DOI] [Google Scholar]
- 112.Gotsis-Skretas O, Pagou K, Moraitou-Apostolopoulou M, Ignatiades L. Seasonal horizontal and vertical variability in primary production and standing stocks of phytoplankton and zooplankton in the Cretan Sea and the Straits of the Cretan Arc (March 1994-January 1995) Prog. Oceanogr. 1999;44:625–649. doi: 10.1016/S0079-6611(99)00048-8. [DOI] [Google Scholar]
- 113.Menna M, et al. On the circulation and thermohaline properties of the eastern Mediterranean Sea. Front. Mar. Sci. 2021;8:1–19. doi: 10.3389/fmars.2021.671469. [DOI] [Google Scholar]
- 114.Marullo S, Santoleri R, Malanotte-Rizzoli P, Bergamasco A. The sea surface temperature field in the Eastern Mediterranean from advanced very high resolution radiometer (AVHRR) data: Part II. Interannual variability. J. Mar. Syst. 1999;20:83–112. doi: 10.1016/S0924-7963(98)00072-4. [DOI] [Google Scholar]
- 115.Lavigne H, Civitarese G, Gacie M, D’Ortenzio F. Impact of decadal reversals of the north Ionian circulation on phytoplankton phenology. Biogeosciences. 2018;15:4431–4445. doi: 10.5194/bg-15-4431-2018. [DOI] [Google Scholar]
- 116.Ioannou A, Stegner A, Vu BL, Taupier-Letage I, Speich S. Dynamical evolution of intense Ierapetra eddies on a 22 year long period. J. Geophys. Res. Oceans. 2017;122:9276–9298. doi: 10.1002/2017JC013158. [DOI] [Google Scholar]
- 117.Amitai Y, Lehahn Y, Lazar A, Heifetz E. Surface circulation of the eastern Mediterranean Levantine basin: Insights from analyzing 14 years of satellite altimetry data. J. Geophys. Res. Oceans. 2010;115:1–11. doi: 10.1029/2010JC006147. [DOI] [Google Scholar]
- 118.Kontoyiannis H, Velaoras D, Papadopoulos V, Kioroglou S. Current structures and topographic Rossby waves in the Levantine basin south of Crete revealed by snapshot and time series current measurements. Deep-Sea Res. Part II Top. Stud. Oceanogr. 2020;171:104620. doi: 10.1016/j.dsr2.2019.07.008. [DOI] [Google Scholar]
- 119.Karageorgis, A. et al. The LEVECO project bio-optics experiment in the northwestern Levantine Sea: preliminary results. In Proc. SPIE 11174, Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019) (2019).
- 120.Zgouridou A, et al. The current situation and potential effects of climate change on the microbial load of marine bivalves of the Greek coastlines: an integrative review. Environ. Microbiol. 2022;24:1012–1034. doi: 10.1111/1462-2920.15765. [DOI] [PubMed] [Google Scholar]
- 121.Gokul EA, Raitsos DE, Gittings JA, Alkawri A, Hoteit I. Remotely sensing harmful algal blooms in the Red Sea. PLoS ONE. 2019;14:1–21. doi: 10.1371/journal.pone.0215463. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Giorgi F. Climate change hot-spots. Geophys. Res. Lett. 2006;33:1–4. doi: 10.1029/2006GL025734. [DOI] [Google Scholar]
- 123.Hobday AJ, et al. A hierarchical approach to defining marine heatwaves. Prog. Oceanogr. 2016;141:227–238. doi: 10.1016/j.pocean.2015.12.014. [DOI] [Google Scholar]
- 124.Volpe G, et al. Mediterranean ocean colour Level 3 operational multi-sensor processing. Ocean Sci. 2019;15:127–146. doi: 10.5194/os-15-127-2019. [DOI] [Google Scholar]
- 125.Berthon JF, Zibordi G. Bio-optical relationships for the northern Adriatic Sea. Int. J. Remote Sens. 2004;25:1527–1532. doi: 10.1080/01431160310001592544. [DOI] [Google Scholar]
- 126.Volpe G, et al. The colour of the Mediterranean Sea: Global versus regional bio-optical algorithms evaluation and implication for satellite chlorophyll estimates. Remote Sens. Environ. 2007;107:625–638. doi: 10.1016/j.rse.2006.10.017. [DOI] [Google Scholar]
- 127.Mélin F, Vantrepotte V. How optically diverse is the coastal ocean? Remote Sens. Environ. 2015;160:235–251. doi: 10.1016/j.rse.2015.01.023. [DOI] [Google Scholar]
- 128.Holm-Hansen O, Lorenzen CJ, Holmes RW, Strickland JDH. Fluorometric determination of chlorophyll. ICES J. Mar. Sci. 1965;30:3–15. doi: 10.1093/icesjms/30.1.3. [DOI] [Google Scholar]
- 129.Gittings JA, et al. Evaluating tropical phytoplankton phenology metrics using contemporary tools. Sci. Rep. 2019;9:1–9. doi: 10.1038/s41598-018-37370-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130.Henson SA, Cole HS, Hopkins J, Martin AP, Yool A. Detection of climate change-driven trends in phytoplankton phenology. Glob. Change Biol. 2018;24:e101–e111. doi: 10.1111/gcb.13886. [DOI] [PubMed] [Google Scholar]
- 131.Jebri F, et al. Unravelling links between squid catch variations and biophysical mechanisms in South African waters. Deep-Sea Re. Part II Top. Stud. Oceanogr. 2022;196:105028. doi: 10.1016/j.dsr2.2022.105028. [DOI] [Google Scholar]
- 132.Al-Naimi N, Raitsos DE, Ben-Hamadou R, Soliman Y. Evaluation of satellite retrievals of chlorophyll-a in the Arabian Gulf. Remote Sens. 2017;9:1–13. doi: 10.3390/rs9030301. [DOI] [Google Scholar]
- 133.Qiu Z, Wu T, Su Y. Retrieval of diffuse attenuation coefficient in the China seas from surface reflectance. Opt. Exp. 2013;21:15287. doi: 10.1364/oe.21.015287. [DOI] [PubMed] [Google Scholar]
- 134.Lee Z-P, et al. Diffuse attenuation coefficient of downwelling irradiance: An evaluation of remote sensing methods. J. Geophys. Res. Oceans. 2005 doi: 10.1029/2004JC002573. [DOI] [Google Scholar]
- 135.Smith R. Remote sensing and depth distribution of ocean chlorophyll. Mar. Ecol. Prog. Ser. 1981;5:359–361. doi: 10.3354/meps005359. [DOI] [Google Scholar]
- 136.Mutia D, et al. Productivity driven by Tana river discharge is spatially limited in Kenyan coastal waters. Ocean Coastal Manag. 2021 doi: 10.1016/j.ocecoaman.2021.105713. [DOI] [Google Scholar]
- 137.Raitsos DE, Pradhan Y, Brewin RJ, Stenchikov G, Hoteit I. Remote sensing the phytoplankton seasonal succession of the Red Sea. PLoS ONE. 2013;8:e64909. doi: 10.1371/journal.pone.0064909. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The in situ Chl-a dataset used in the present analysis is available on reasonable request. Ocean colour and bathymetry datasets are freely available at https://marine.copernicus.eu/(OCEANCOLOUR_MED_BGC_L4_MY_009_144 and OCEANCOLOUR_MED_BGC_L3_MY_009_143) and https://emodnet.ec.europa.eu/en, respectively.