Sub-regional patterns of primary production annual cycle in the Ligurian and North Tyrrhenian seas, from satellite data

Lazzara, Luigi; Marchese, Christian; Massi, Luca; Nuccio, Caterina; Maselli, Fabio; Santini, Carolina; Pieri, Maurizio; Sorani, Valentino; Fiorentino, Sesto

doi:10.5721/itjrs20104227

Cited by 12 publications

(6 citation statements)

References 31 publications

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“…Often considered as a small‐scale model of the world ocean [ Bethoux et al , 1999] and identified as one of the most sensitive regions to climate change [ Giorgi , 2006], the Mediterranean Sea is of particular interest for biogeochemical studies [ The MerMex Group , 2011]. Several investigators have used satellite ocean color data in conjunction with bio‐optical models to assess primary production in various regions of the Mediterranean [e.g., Morel and André , 1991; Antoine et al , 1995; Bosc et al , 2004; Lazzara et al , 2010]. The present study is motivated by recent advancements in the field of bio‐optical modeling and remote sensing estimation of chlorophyll a concentration (Chl) in the surface ocean, which is a key input parameter to bio‐optical primary production models.…”

Section: Introductionmentioning

confidence: 99%

Estimates of phytoplankton class‐specific and total primary production in the Mediterranean Sea from satellite ocean color observations

Uitz

Stramski

Gentili

et al. 2012

Global Biogeochemical Cycles

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[1] An approach that combines a recently developed procedure for improved estimation of surface chlorophyll a concentration (Chl surf ) from ocean color and a phytoplankton class-specific bio-optical model was used to examine primary production in the Mediterranean Sea. Specifically, this approach was applied to the 10 year time series of satellite Chl surf data from the Sea-viewing Wide Field-of-view Sensor. We estimated the primary production associated with three major phytoplankton classes (micro, nano, and picophytoplankton), which also yielded new estimates of the total primary production (P tot ). These estimates of P tot (e.g., 68 g C m À2 yr À1 for the entire Mediterranean basin) are lower by a factor of $2 and show a different seasonal cycle when compared with results from conventional approaches based on standard ocean color chlorophyll algorithm and a non-class-specific primary production model. Nanophytoplankton are found to be dominant contributors to P tot (43-50%) throughout the year and entire basin. Micro and picophytoplankton exhibit variable contributions to P tot depending on the season and ecological regime. In the most oligotrophic regime, these contributions are relatively stable all year long with picophytoplankton ($32%) playing a larger role than microphytoplankton ($22%). In the blooming regime, picophytoplankton dominate over microphytoplankton most of the year, except during the spring bloom when microphytoplankton (27-38%) are considerably more important than picophytoplankton (20-27%).

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Section: Introductionmentioning

confidence: 99%

Estimates of phytoplankton class‐specific and total primary production in the Mediterranean Sea from satellite ocean color observations

Uitz

Stramski

Gentili

et al. 2012

Global Biogeochemical Cycles

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“…In general, during this travel, the seawater becomes denser and this involves a sinking and, at the end of the tour, intermediate and deep water currents return in the Atlantic Ocean through the Strait of Gibraltar [Millot, 1999]. In the WMed the currents system is very complex and in addition to coastal currents various gyres and eddies are formed with cyclonic and anticyclonic circulations [Robinson et al, 2001;El-Geziry and Bryden, 2010] Within some sub-basins, seasonally, cyclonic (Liguro-Provencal (LPG) and Tyrrhenian (TG)) and anticyclonic (Alboran (AG)) gyres are observed, in correspondence of which wide algal blooms develop shifting the typical oligotrophic status toward mesotrophic or eutrophic conditions [Morán and Estrada, 2001;Bosc et al, 2004;D'Ortenzio and Ribera d'Alcalà, 2009;Lazzara et al, 2010a;Marchese et al, 2015].The Liguro-Provencal and Alboran basins are among the most productive of the Mediterranean Sea [Siokou-Frangou et al, 2010]. Increased phytoplankton levels may also occur in coastal areas, especially near large river mouths, due to the nutrients available in the water.…”

Section: Study Areamentioning

confidence: 99%

“…In general, however, because of the local parameterization, the application of these algorithms outside the calibration areas requires a special care [Huang et al, 2013]. Various studies that use satellite remote sensing to predict [CHL] and primary production have been recently conducted in some sub-basins of the Western Mediterranean Sea (WMed), including the EU funded MOMAR Project (http://www.mo-mar.net) [Maselli et al, 2009;Lazzara et al, 2010a;Massi et al, 2011;Lapucci et al, 2012;Marchese et al, 2015]. In particular, Maselli et al [2009] developed a semi-analytical algorithm (SAM_LT) for retrieving the three optical active constituents (CHL, CDOM, SPM) in the Ligurian and North Tyrrhenian Seas.…”

Section: Introductionmentioning

confidence: 99%

Assessment of three algorithms for the operational estimation of [CHL] from MODIS data in the Western Mediterranean Sea

Pieri

Massi

Lazzara

et al. 2015

European Journal of Remote Sensing

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Three algorithms based on MODIS imagery were evaluated for the estimation of Chlorophyll-a concentration ([CHL]) in the Western Mediterranean Sea. The first algorithm (OC3M) is usually applied at global scale, while the second (MedOC3), has been used in the Mediterranean basin. The third algorithm (SAM_LT), specifically developed for the Ligurian and North Tyrrhenian Seas, is here described and applied, in its updated version. The three algorithms were assessed through comparison with 240 sea [CHL] samples collected during the 2002-2011 decade. The results obtained show that OC3M is the most accurate algorithm when used for the entire Western Mediterranean, but is outperformed by SAM_LT in the area where this was originally developed. The impact of different MODIS quality flags on the three algorithms has been finally evaluated, providing guidelines for their operational application in the study area.

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“…The global OC3M 28,29 and MedOC3 30 algorithms (regionally tuned to the North Western Mediterranean Sea), which are commonly applied in the study area despite the fact that they are only suited for Case 1 waters. 25,31,32 OC5 algorithm, which, although more specific for Atlantic waters (Bay of Biscay and the English Channel), performs well also in other areas. [33][34][35] The semi-analytical SAM LT algorithm 36 is locally tuned for the coastal Ligurian and North Tyrrhenian Sea areas.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of empirical and semi-analytical chlorophyll algorithms in the Ligurian and North Tyrrhenian Seas

Lapucci

Rella

Brandini

et al. 2012

J. Appl. Remote Sens

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Abstract. The estimation of chlorophyll concentration in marine waters is fundamental for a number of scientific and practical purposes. Standard ocean color algorithms applicable to moderate resolution imaging spectroradiometer (MODIS) imagery, such as OC3M and MedOC3, are known to overestimate chlorophyll concentration ([CHL]) in Mediterranean oligotrophic waters. The performances of these algorithms are currently evaluated together with two relatively new algorithms, OC5 and SAM_LT, which make use of more of the spectral information of MODIS data. This evaluation exercise has been carried out using in situ data collected in the North Tyrrhenian and Ligurian Seas during three recent oceanographic campaigns. The four algorithms perform differently in Case 1 and Case 2 waters defined following global and local classification criteria. In particular, the mentioned [CHL] overestimation of OC3M and MedOC3 is not evident for typical Case 1 waters; this overestimation is instead significant in intermediate and Case 2 waters. OC5 and SAM_LT are less sensitive to this problem, and are generally more accurate in Case 2 waters. These results are finally interpreted and discussed in light of a possible operational utilization of the [CHL] estimation methods.

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Sub-regional patterns of primary production annual cycle in the Ligurian and North Tyrrhenian seas, from satellite data

Cited by 12 publications

References 31 publications

Estimates of phytoplankton class‐specific and total primary production in the Mediterranean Sea from satellite ocean color observations

Estimates of phytoplankton class‐specific and total primary production in the Mediterranean Sea from satellite ocean color observations

Assessment of three algorithms for the operational estimation of [CHL] from MODIS data in the Western Mediterranean Sea

Evaluation of empirical and semi-analytical chlorophyll algorithms in the Ligurian and North Tyrrhenian Seas

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