Analysis of Chlorophyll-aand Primary Production Dynamics in North Tyrrhenian and Ligurian Coastal–Neritic and Oceanic Waters

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

doi:10.2112/jcoastres-d-13-00210.1

Cited by 11 publications

(10 citation statements)

References 67 publications

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“…As the sampling net did not reach the bottom (it remains 10-15 m above it), some organisms might not be sampled if they stay in the deepest layer close to the bottom, a common behaviour, especially during the day (Vinogradov, 1997). Indeed, populations of many pelagic species extend into hyperbenthic and benthopelagic environments within a few metres from the sea floor, where there may be a significant accumulation of zooplanktonic biomass during the day in specific seasons (Mauchline, 1998 and references therein). The two stations were sampled for the taxonomic and quantitative characterization of mesozooplanktonic communities.…”

Section: Zooplankton Net Samplesmentioning

confidence: 99%

Zooplankton diel vertical migration in the Corsica Channel (north-western Mediterranean Sea) detected by a moored acoustic Doppler current profiler

et al. 2019

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Abstract. Diel vertical migration (DVM) is a survival strategy adopted by zooplankton that we investigated in the Corsica Channel using acoustic Doppler current profiler (ADCP) data from April 2014 to November 2016. The principal aim of the study is to characterize migration patterns and biomass temporal evolution of zooplankton along the water column. The ADCP measured vertical velocity and echo intensity in the water column range between about 70 and 390 m (the bottom depth is 443 m). During the investigated period, zooplanktonic biomass had a well-defined daily and seasonal cycle, with peaks occurring in late winter to spring (2015 and 2016) when the stratification of the water column is weaker. Zooplanktonic biomass temporal distribution in the whole water column is well correlated with biomass of primary producers, estimated with satellite data. Zooplanktonic blooming and non-blooming periods have been identified and studied separately. During the non-blooming period zooplanktonic biomass was most abundant in the upper and the deep layers, while during the blooming period the upper-layer maximum in zooplanktonic biomass disappeared and the deep layer with high zooplanktonic biomass became thicker. These two layers are likely to correspond to two different zooplanktonic communities. The evolution of zooplanktonic biomass is well correlated with chlorophyll, with phytoplankton biomass peaks preceding the upper-layer secondary production by a lag of about 3.5 weeks. Nocturnal DVM appears to be the main pattern during both periods, but reverse and twilight migration are also detected. Nocturnal DVM was more evident at mid-water than in the deep and the upper layers. DVM occurred with different intensities during blooming and non-blooming periods. One of the main outcomes is that the principal drivers for DVM are light intensity and stratification, but other factors, like the moon cycle and primary production, are also taken in consideration.

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Section: Zooplankton Net Samplesmentioning

confidence: 99%

Zooplankton diel vertical migration in the Corsica Channel (north-western Mediterranean Sea) detected by a moored acoustic Doppler current profiler

et al. 2019

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“…Finally, other spotted areas of high uniformity in ALB, SWW and TYR areas are characterised by semi-permanent mesoscale structures, associated to the inflow of Atlantic water (Navarro et al, 2011), to eddies originated from the Algerian Current (Morán et al, 2001) and to the dynamics of the northern TYR gyre (Artale et al, 1994;Marullo et al, 1994;Marchese et al, 2014), respectively.…”

Section: Discussionmentioning

confidence: 99%

Characterisation of extreme events waves in marine ecosystems: the case of Mediterranean Sea

Biagio

Cossarini

Salon

et al. 2020

Preprint

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Abstract. We propose a new method to identify and characterise the occurrence of prolonged extreme events in marine ecosystems on the basin scale. There is a growing interest about events that can affect ecosystem functions and services in a changing climate. Our method identifies extreme events as peak occurrences over 99th percentile thresholds computed from local time series and defines an Extreme Events Wave (EEW) as a connected region including these events. The EEWs are characterised by a set of novel indexes, referred to initiation, extent, duration and strength. The indexes, associated to the areas covered by each EEW, are then statistically analysed to highlight the main features of the EEWs on the considered domain. We applied the method to the winter-spring daily chlorophyll field of a validated multidecadal hindcast provided by a coupled hydrodynamic-biogeochemical model of the Mediterranean open-sea ecosystem, with 1/12&#176; horizontal resolution. This allowed to identify the maxima of chlorophyll as exceptionally high and prolonged <q>blooms</q> and to characterise their phenomenology in the period 1994&#8211;2012. A fuzzy k-means cluster analysis on the EEWs indexes provided a bio-regionalisation of the Mediterranean Sea associated to the occurrence of chlorophyll EEWs with different regimes.

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“…We used the results of the 1994-2012 hindcast simulation discussed in Di Biagio et al 2019and produced by the MIT general circulation model (MITgcm; Marshall et al, 1997), coupled with the biogeochemical flux model (BFM; Vichi et al, 2015) following the online scheme described in Cossarini et al (2017). The configuration in use has a horizontal resolution of 1/12 • , with 75 unevenly spaced vertical levels.…”

Section: Data: Mediterranean Sea Surface Chlorophyll Bymentioning

confidence: 99%

Extreme event waves in marine ecosystems: an application to Mediterranean Sea surface chlorophyll

et al. 2020

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Abstract. We propose a new method to identify and characterise the occurrence of prolonged extreme events in marine ecosystems at the basin scale. There is growing interest in events that can affect ecosystem functions and services in a changing climate. Our method identifies extreme events as the peak occurrences over a predefined threshold (i.e. the 99th percentile) computed from a local time series, and it defines a series of extreme events that are connected over space and time as an extreme event wave (EEW). The main features of EEWs are then characterised by a set of novel indexes, related to initiation, extent, duration and strength. The indexes associated with the areas covered by each EEW were then statistically analysed to highlight the main features of the EEWs in the considered domain. We applied the method to a multidecadal series of winter–spring daily chlorophyll fields that was produced by a validated coupled hydrodynamic–biogeochemical model of the Mediterranean open-sea ecosystem. This application allowed us to identify and characterise surface chlorophyll EEWs in the period from 1994 to 2012. Finally, a fuzzy classification of EEW indexes provided bio-regionalisation of the Mediterranean Sea based on the occurrence of chlorophyll EEWs with different regimes.

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Analysis of Chlorophyll-aand Primary Production Dynamics in North Tyrrhenian and Ligurian Coastal–Neritic and Oceanic Waters

Cited by 11 publications

References 67 publications

Zooplankton diel vertical migration in the Corsica Channel (north-western Mediterranean Sea) detected by a moored acoustic Doppler current profiler

Zooplankton diel vertical migration in the Corsica Channel (north-western Mediterranean Sea) detected by a moored acoustic Doppler current profiler

Characterisation of extreme events waves in marine ecosystems: the case of Mediterranean Sea

Extreme event waves in marine ecosystems: an application to Mediterranean Sea surface chlorophyll

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