High-resolution time-series data for 1991/1992 primary production and related parameters at a Palmer LTER coastal site: implications for modeling carbon fixation in the Southern Ocean

Moline, Mark A.; Prézelin, Barbara B.

doi:10.1007/s003000050103

Cited by 23 publications

(19 citation statements)

References 33 publications

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“…Yamaguchi et al 1985, Sakshaug & Holm-Hansen 1986, Smith et al 1991, Dower et al 1996, Moline & Prézelin 1997 and has generally been related to the magnitude of vertical mixing in the surface mixed layer inducing low light adaptation in the phytoplankton populations (Platt et al 1982). It is possible that the degree of photoinhibition in the present observations has been enhanced by the extended incubation period to which the samples had been subject.…”

Section: Photoinhibitionmentioning

confidence: 68%

See 1 more Smart Citation

Primary production and carbon uptake dynamics in the vicinity of South Georgia-balancing carbon fixation and removal

Gilpin

Priddle²,

Whitehouse³

et al. 2002

Mar. Ecol. Prog. Ser.

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Section: Photoinhibitionmentioning

confidence: 68%

“…High values (up to 30 mg chlorophyll a m -3 ) are often associated with specific physical and hydrographical features. These include neritic areas (Moline & Prézelin 1997), the marginal ice-zone and polynyas (Smetacek et al 1992, Smith & Gordon 1997, and fronts and other mesoscale features (Heywood & Priddle 1987, Savidge et al 1995.…”

Section: Introductionmentioning

confidence: 99%

Primary production and carbon uptake dynamics in the vicinity of South Georgia-balancing carbon fixation and removal

Gilpin

Priddle²,

Whitehouse³

et al. 2002

Mar. Ecol. Prog. Ser.

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“…4) at the RaTS site was similar to upper water-column primary production rates in summer for the coastal Palmer Long-Term Ecological Research (LTER) WAP site of ~ 220 mmol C m -2 d -1 (Moline and Prezelin, 1996). Primary production was however lower in the Bransfield Strait, also on the WAP, where an average value of 154 mmol C m -2 d -1…”

Section: Rats Sitementioning

confidence: 82%

Primary production export flux in Marguerite Bay (Antarctic Peninsula): Linking upper water-column production to sediment trap flux

Weston

Jickells

Carson

et al. 2013

Deep Sea Research Part I: Oceanographic Research Papers

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Primary production export flux in Marguerite Bay (Antarctic Peninsula): Linking upper water-column production to sediment trap flux., Deep-Sea Research I, http://dx.doi.org/10.1016/j.dsr.2013 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting galley proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. A study was carried out to assess primary production and associated export flux in the coastal waters of the western Antarctic Peninsula at an oceanographic time-series site.New, i.e. exportable, primary production in the upper water-column was estimated in two ways; by nutrient deficit measurements, and by primary production rate measurements using separate 14 C-labelled radioisotope and 15 N-labelled stable isotope uptake incubations. The resulting average annual exportable primary production estimates at the time-series site from nutrient deficit and primary production rates were 13 and 16 mol C m -2 respectively. Regenerated primary production was measured using 15 N-labelled ammonium and urea uptake, and was low throughout the sampling period.The exportable primary production measurements were compared with sediment trap flux measurements from 2 locations; the time-series site and at a site 40 km away in deeper water. Results showed ~1% of the upper mixed layer exportable primary production was exported to traps at 200m depth at the time-series site (total water column depth 520m). The maximum particle flux rate to sediment traps at the deeper offshore site (total water column depth 820m) was lower than the flux at the coastal time-series site.Flux of particulate organic carbon was similar throughout the spring-summer high flux period for both sites. Remineralisation of particulate organic matter predominantly 3 occurred in the upper water-column (<200m depth), with minimal remineralisation below 200m, at both sites. This highly productive region on the Western Antarctic Peninsula is therefore best characterised as 'high recycling, low export'.

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“…The original reports of the findings are found in Smith et al (1992) and Moline et al (1996). The depth of the upper mixed layer (UML) based on the sigma-t (0,) profiles was estimated using the formulation (where z = depth) which assumes the UML depth to be equal to the depth where the gradient in o, is maximal.…”

Section: Methodsmentioning

confidence: 99%

Long-term monitoring and analyses of physical factors regulating variability in coastal Antarctic phytoplankton biomass, in situ productivity and taxonomic composition over subseasonal, seasonal and interannual time scales

Moline¹,

Prézelin²

1996

Mar. Ecol. Prog. Ser.

132

106

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A 3 yr high-resolution temporal data base related to phytoplankton dynamics was collected during the austral spring/sumrner periods of 1991 to 1994 in shelf waters adjacent to Palmer Statlon, Antarctica. Here, the data base is used [ l ) to quantlfy the vanabillty in phytoplankton biomass, In sjtu productivity and taxonomic composition over subseasonal, seasonal and interannual time scales; (2) to elucidate environmental mechanisms controlling these temporal patterns; and (3) to ascertain which phytoplankton markers are most suitable-for detecting longer-term (i.e. decadal) trends in phytoplankton dynamlcs in coastal waters of the Southel-n Ocean. The Long-Term Ecological Research (LTER) coastal study sites showed hlgh interannual var~abillty In peak phytoplankton blomass (75 to 494 mg chl a m-') and integrated pnmary productlon 11.08 to 6.58 g C m -' d ' ) . Seasonal and annual patterns in biomass and productivity were shown to be driven by shorter-t~me-scale phys~cal forcing by local wind stress. Low daily wind speeds (c10 m S") were associated with water-column stabilization. However, extended periods ( > l wk) of low wind stress were required for increased phytoplankton growth and biomass accumulation. Temperature data supports the view that water masses can be replaced on time scales of a less than a day to a few days In these coastal waters. Such disruptions are associated with abrupt changes in local pnmary productlon and may lead to sudden shifts In local phytoplankton community structure. Desp~te the high seasonal and interannual variability in b~o m a s s and associated In situ productivity in this coastal environment, the replacement sequence of one dominant phytoplankton group by another was very similar on subseasonal time scales for all 3 years. LVe suggest that changes i n phytoplankton successional patterns may be a more sensitive marker for detecting long-term trends in Southern Ocean ecosystems than either biomass or productivity indices, where short-term variability of the latter IS as great or greater than interannual variations documented to date

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High-resolution time-series data for 1991/1992 primary production and related parameters at a Palmer LTER coastal site: implications for modeling carbon fixation in the Southern Ocean

Cited by 23 publications

References 33 publications

Primary production and carbon uptake dynamics in the vicinity of South Georgia-balancing carbon fixation and removal

Primary production and carbon uptake dynamics in the vicinity of South Georgia-balancing carbon fixation and removal

Primary production export flux in Marguerite Bay (Antarctic Peninsula): Linking upper water-column production to sediment trap flux

Long-term monitoring and analyses of physical factors regulating variability in coastal Antarctic phytoplankton biomass, in situ productivity and taxonomic composition over subseasonal, seasonal and interannual time scales

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