Anchovy egg and larval distribution in relation to biological and physical oceanography in the Strait of Sicily

Cuttitta, Angela; Carini, V.; Patti, B.; Bonanno, A.; Basilone, Gualtiero; Mazzola, Salvatore; Lafuente, Jesús Garcı́a; García, A.; Buscaino, Giuseppa; Aguzzi, L.; Rollandi, L.; Morizzo, G.; Cavalcante, Carlos Costa

doi:10.1007/978-94-017-2276-6_13

Cited by 24 publications

(29 citation statements)

References 3 publications

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“…The local sardine stock presents a fairly uniform distribution along the southern coast of Sicily but exhibits large inter-annual variability in abundance, varying by even more than 80% from year to year (Patti et al 2004, SGMED 2009). This variability is linked to year-to-year variability of the Atlantic− Ionian Stream (AIS) that dominates the surface circulation in the area, affecting productivity, the extension of the upwelling and the formation of frontal structures (Cuttitta et al 2003, Patti et al 2004.…”

Section: Discussionmentioning

confidence: 99%

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Habitat suitability modelling for sardine Sardina pilchardus in a highly diverse ecosystem: the Mediterranean Sea

Tugores¹,

Giannoulaki²,

Iglesias³

et al. 2011

Mar. Ecol. Prog. Ser.

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Integrated information from different parts of the Mediterranean Sea was used to model the spatial and temporal variability of the distribution grounds of the sardine population. Acoustic data from the North Aegean Sea (Eastern Mediterranean), the Adriatic Sea (Central Mediterranean), the Sicily Channel (Central Mediterranean) and Spanish Mediterranean waters (Western Mediterranean) were analysed along with satellite environmental and bathymetric data to model the potential habitat of sardine during summer, autumn and early winter. Generalized additive models were applied in a presence−absence approach. Models were validated in terms of their predictive ability and used to construct maps exhibiting the probability of sardine presence throughout the entire Mediterranean basin as a measure of habitat adequacy for sardine. Bottom depth and sea surface temperature were the environmental variables that explained most of the data variability. Several areas along the Mediterranean coastline were indicated as suitable habitat for sardine in different seasons. An expansion of these areas over the continental shelf, up to 100 m depth, was consistently noticed from summer to winter. This was attributed to the horizontal movements of sardine related to spawning (i.e. winter period) and the peculiarities of the Mediterranean Sea where areas favouring growth, feeding and spawning processes tend to be localised and prevent a long range, offshore migration as opposed to large upwelling ecosystems. Moreover, within the study period, a positive relationship between the extent of sardine preferred habitat and landings was revealed for both summer and winter seasons throughout the entire Mediterranean Sea.

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Section: Discussionmentioning

confidence: 99%

“…1B). The inter-annual variability of the AIS has an impact on the extension of upwelling and the formation of frontal structures (Cuttitta et al 2003). The generated upwelling is reinforced by windinduced upwelling events (Patti et al 2004(Patti et al , 2010.…”

Section: Study Areasmentioning

confidence: 99%

Habitat suitability modelling for sardine Sardina pilchardus in a highly diverse ecosystem: the Mediterranean Sea

Tugores¹,

Giannoulaki²,

Iglesias³

et al. 2011

Mar. Ecol. Prog. Ser.

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“…In fact, the Strait of Sicily is known as a biologically rich area and a key site for the Mediterranean Sea in terms of fisheries (Garcia Lafuente et al 2002, Cuttitta et al 2003.…”

Section: Abstract: Picophytoplankton · Biodiversity · Deep Chlorophymentioning

confidence: 99%

Picophytoplankton diversity and photoacclimation in the Strait of Sicily (Mediterranean Sea) in summer. I. Mesoscale variations

Brunet¹,

Casotti²,

Vantrepotte³

et al. 2006

Aquat. Microb. Ecol.

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Phytoplankton dynamics were investigated at the mesoscale in the northern part of the Strait of Sicily in July-August 1997 on fractionated samples (< 3 and > 3 μm) using HPLC pigment analysis and flow cytometry. Distribution, diversity and photoacclimation varied within the different water masses and features present at the time of sampling, including a surface filament of deep, cold water. Picophytoplankton (< 3 μm) accounted for 80% of total chlorophyll on average, and was numerically dominated by cyanobacteria of the genus Prochlorococcus, with an average concentration of 5.2 × 10 4 cells ml -1. The biomass and pigment diversity of picophytoplankton was higher in the deep chlorophyll maximum (DCM) and was related to hydrological and biological features, whereas larger phytoplankton (> 3 μm) appeared to respond to different cues. Chlorophyll pigment content per cell of Synechococcus spp., Prochlorococcus spp. or picoeukaryotes was estimated by coupling pigment data with flow cytometric counts. In Prochlorococcus spp., we found an average of 0.44 and 1.56 fg divinyl-chlorophyll a (dvchl a) cell -1 in surface and DCM layers, respectively. In contrast, chl a content in the picoeukaryote group ranged between 17 and 168 fg chl a cell -1 , depending upon depth and water mass, which suggested strong photoacclimation and photoadaptation with depth. The relative contribution of each eukaryote pigment to one size class or the other changed through the water column, and reflected size segregation within single taxonomic groups. KEY WORDS: Picophytoplankton · Biodiversity · Deep chlorophyll maximum · DCM · Pigments · HPLC · Flow cytometry · MesoscaleResale or republication not permitted without written consent of the publisher Aquat Microb Ecol 44: 127-141, 2006 Data from HPLC-pigment analysis were coupled to flow cytometry counts to obtain pigment content per cell, used as an indicator of light adaptation. Using this approach, we were able to separate and to assess the contribution of the picophytoplankton to total community composition, diversity and physiological state, mainly by examining the pigment content and variability per cell. So far, this approach has been used to better characterize the phytoplankton community in terms of chlorophyll or divinyl-chlorophyll (Brunet & Lizon 2003, Veldhuis & Kraay 2004, but very few studies have coupled pigment analysis and flow cytometry to describe picoeukaryotes in fractionated samples . Apart from providing insights into their taxonomic diversity as well as their photoacclimation properties, this approach can quantitatively complement information from molecular tools, which have recently revealed the high specific diversity of picoeukaryotes in several marine ecosystems (Moonvan der Staay et al. 2000, Díez et al. 2001, 2004.The study area chosen provided an ideal area to study the interaction of plankton biology with hydrodynamics, because it is a location of active mesoscale dynamics, with recurrent physical structures such as fronts, filaments and meanders (Le...

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“…In fact, the changes in the growth of fish species observed in the oceans are mainly explained by variations in the chlorophyll concentration, which is a marker of the presence of phytoplankton communities (Jennings et al, 2001;Bopp et al, 2001;Cuttitta et al, 2003;Sarmiento et al, 2004;Schmittner, 2005;Weston et al, 2005;Kiorboe, 2008;Patti et al, 2010;Karsenti et al, 2011;Melbourne-Thomas et al, 2013;Valenti et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Stochastic models for phytoplankton dynamics in Mediterranean Sea

Valenti

Denaro

Spagnolo

et al. 2016

Ecological Complexity

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Anchovy egg and larval distribution in relation to biological and physical oceanography in the Strait of Sicily

Cited by 24 publications

References 3 publications

Habitat suitability modelling for sardine Sardina pilchardus in a highly diverse ecosystem: the Mediterranean Sea

Habitat suitability modelling for sardine Sardina pilchardus in a highly diverse ecosystem: the Mediterranean Sea

Picophytoplankton diversity and photoacclimation in the Strait of Sicily (Mediterranean Sea) in summer. I. Mesoscale variations

Stochastic models for phytoplankton dynamics in Mediterranean Sea

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