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Díaz-Rosas, Francisco; Alves-de-Souza, Catharina; Alarcon, Emilio; Menschel, Eduardo; González, Humberto E; Torres, Rodrigo; von Dassow, Peter (2021): Physical and chemical parameters and associated abundance and biovolume of Emiliania huxleyi morphotypes recorded in southern Patagonia during the austral late-spring 2015 and early-spring 2017 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.936505

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Published: 2021-09-29DOI registered: 2021-10-11

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Abstract:
Physical and chemical parameters and associated coccolithophores species/Emiliania huxleyi morphotypes abundances and biovolume and co-occurring microplankton abundances recorded in southern Patagonia (~ 50-54 ºS) during the austral late-spring 2015 (at the end of november) and early-spring 2017 (at the end of september). Given the scarcity of data about coccolithophores in Patagonian waters and the impressive nearly a century spring-summer reports of Emiliania huxleyi blooms around the North Sea and Norwegian fjords system we want to observe what happens in this side of the planet. To do that, we collected seawater containing planktonic organisms at the surface and in some stations up to 75 m depth. Inverted microscopy along with SEM analyses were used to identify and quantify the planktonic items. Determination of salinity and temperature was made with a YSI- 30 Termosalinometer (Yellow Springs, OH, USA) and pCO2 was determined with a Qubit-S157 CO2-analyzer (Kingston, Ontario, Canada). Macronutrients, opal and pH were determined as described in Torres et al. (2020; doi:10.1016/j.ecss.2020.106597). Full carbonate system parameters (including Ωcal) were estimated from pH, AT, salinity, temperature (25 °C as input and in situ temperature as output conditions), pressure (0 dbar as input and depth as output conditions) using CO2Sys Excel macro spreadsheet version 2.1 (Pierrot et al., 2006) with Mehrbach set of solubility constants (Mehrbach et al., 1973) refitted by Dickson and Millero (Dickson and Millero, 1987). To extrapolate full carbonate parameters from pCO2 (onboard sensor) and salinity measurements where alkalinity samples were not directly available, the regression curve for the salinity-AT relationship (μmol kg–1) = 63.4 × salinity + 101 (R2 = 0.99, N = 186; Torres et al., 2020) was used to derive AT estimated from salinity.
Keyword(s):
Emiliania huxleyi; Emiliania huxleyi morphotypes; Patagonian fjords
Supplement to:
Díaz-Rosas, Francisco; Alves-de-Souza, Catharina; Alarcon, Emilio; Menschel, Eduardo; González, Humberto E; Torres, Rodrigo; von Dassow, Peter (2021): Abundances and morphotypes of the coccolithophore Emiliania huxleyi in southern Patagonia compared to neighbouring oceans and Northern Hemisphere fjords. Biogeosciences, 18(19), 5465-5489, https://doi.org/10.5194/bg-18-5465-2021
Further details:
Díaz-Rosas, Francisco; Alves-de-Souza, Catharina; Alarcon, Emilio; Menschel, Eduardo; González, Humberto; Torres, Rodrigo; von Dassow, Peter (accepted): Inverted microscopy image dataset -- Carbon biomass of microplankton assemblages in southern Patagonian fjords and channels [dataset]. Zenodo, https://doi.org/10.5281/zenodo.5139161
Díaz-Rosas, Francisco; Alves-de-Souza, Catharina; Alarcon, Emilio; Menschel, Eduardo; González, Humberto; Torres, Rodrigo; von Dassow, Peter (accepted): Scanning electron microscopy image dataset -- Abundances and morphotypes of the coccolithophore Emiliania huxleyi in southern Patagonian fjords and channels [dataset]. Zenodo, https://doi.org/10.5281/zenodo.4292020
Funding:
National Agency for Research and Development (ANID), grant/award no. 1140385: Land-sea interaction effects on the local carbon cycle of the western patagonian archipelago interior sea (FONDECYT)
National Agency for Research and Development (ANID), grant/award no. 1141106: Effects on phytoplankton communities, the coccolithophore emiliania huxleyi, and interactions with iron and macro-nutrients (FONDECYT)
Coverage:
Median Latitude: -52.147600 * Median Longitude: -73.492178 * South-bound Latitude: -53.892900 * West-bound Longitude: -75.409300 * North-bound Latitude: -50.328000 * East-bound Longitude: -70.932100
Date/Time Start: 2015-11-26T10:15:00 * Date/Time End: 2017-09-26T14:50:00
Minimum DEPTH, water: m * Maximum DEPTH, water: 75 m
Event(s):
FES-2017-22 (22)  * Latitude: -53.592500 * Longitude: -72.300000 * Date/Time: 2017-09-22T10:20:00 * Location: South Pacific Ocean * Campaign: Forrest_early_spring-2017 (FES-2017) * Basis: Forrest * Method/Device: Acid-cleaned suction system attached to a towed fish
FES-2017-23 (23)  * Latitude: -53.383300 * Longitude: -72.932800 * Date/Time: 2017-09-22T14:05:00 * Location: South Pacific Ocean * Campaign: Forrest_early_spring-2017 (FES-2017) * Basis: Forrest * Method/Device: Acid-cleaned suction system attached to a towed fish
FES-2017-24 (24)  * Latitude: -53.142400 * Longitude: -73.380700 * Date/Time: 2017-09-22T17:00:00 * Location: South Pacific Ocean * Campaign: Forrest_early_spring-2017 (FES-2017) * Basis: Forrest * Method/Device: Acid-cleaned suction system attached to a towed fish
Comment:
#999: absent
#9999: scarce
Asteriscs indicate samples included in statistical analysis (chosen to be representative of the upper 5 m). When more than one sample was available in the upper 5 m, the sample closest to 5 m was chosen. na = no available data. LC = E. huxleyi lightly-calcified A-morphotype, MC = E. huxleyi moderate-calcified A-morphotype, A-CC = E. huxleyi A-CC morphotype, R/h = E. huxleyi R/hypercalcified morphotype. The four Emiliania huxleyi morphotypes were categorized according to the morphology of distal shield and the central plate of the coccoliths (following Young and Westbroek, 1991; Young et al., 2003; Hagino et al., 2011; von Dassow et al., 2018).
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Event labelEventDíaz-Rosas, Francisco
Date/Time of eventDate/TimeDíaz-Rosas, Francisco
Latitude of eventLatitudeDíaz-Rosas, Francisco
Longitude of eventLongitudeDíaz-Rosas, Francisco
Station labelStationDíaz-Rosas, Francisco
DEPTH, waterDepth watermDíaz-Rosas, FranciscoGeocode
Temperature, waterTemp°CDíaz-Rosas, FranciscoYSI 30 salinty/conductivity/temperature meter
SalinitySalDíaz-Rosas, FranciscoYSI 30 salinty/conductivity/temperature meter
Carbon dioxide, partial pressurepCO2ppmvDíaz-Rosas, FranciscoInfrared CO2 analyzer (Qubit S157)
10 Calcite saturation stateOmega CalDíaz-Rosas, FranciscoEstimated
11 pHpHDíaz-Rosas, Franciscoafter Torres etal. 2021
12 Nitrate[NO3]-µmol/lDíaz-Rosas, Franciscoafter Torres etal. 2021
13 Silica, dissolvedDSiµmol/lDíaz-Rosas, Franciscoafter Torres etal. 2021
14 Phosphate[PO4]3-µmol/lDíaz-Rosas, Franciscoafter Torres etal. 2021
15 Biogenic silicabSiO2µmol/lDíaz-Rosas, Franciscoafter Torres etal. 2021Opal
16 Emiliania huxleyiE. huxleyi%Díaz-Rosas, FranciscoMorphotype LC = E. huxleyi lightly-calcified A-morphotype
17 Emiliania huxleyiE. huxleyi%Díaz-Rosas, FranciscoMorphotype MC = E. huxleyi moderate-calcified A-morphotype
18 Emiliania huxleyiE. huxleyi%Díaz-Rosas, FranciscoMorphotype A-CC = E. huxleyi A-CC morphotype
19 Emiliania huxleyiE. huxleyi%Díaz-Rosas, FranciscoMorphotype R/h = E. huxleyi R/hypercalcified morphotype
20 Cell biovolumeCell biovolµm3Díaz-Rosas, FranciscoEstimated from the median of measured diameter of coccospheres and assuming a spherical geometric shape (Hillebrand et al., 1999)Biovolume of Emiliania huxleyi
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
684 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Event

Date/Time

Latitude

Longitude

Station

Depth water [m]

Temp [°C]
(YSI 30 salinty/conductivity/t...)

Sal
(YSI 30 salinty/conductivity/t...)

pCO2 [ppmv]
(Infrared CO2 analyzer (Qubit ...)
10 
Omega Cal
(Estimated)
11 
pH
(after Torres etal. 2021)
12 
[NO3]- [µmol/l]
(after Torres etal. 2021)
13 
DSi [µmol/l]
(after Torres etal. 2021)
14 
[PO4]3- [µmol/l]
(after Torres etal. 2021)
15 
bSiO2 [µmol/l]
(Opal, after Torres etal. 2021)
16 
E. huxleyi [%]
(Morphotype LC = E. huxleyi li...)
17 
E. huxleyi [%]
(Morphotype MC = E. huxleyi mo...)
18 
E. huxleyi [%]
(Morphotype A-CC = E. huxleyi ...)
19 
E. huxleyi [%]
(Morphotype R/h = E. huxleyi R...)
20 
Cell biovol [µm3]
(Biovolume of Emiliania huxley...)
FLS-2015-1 2015-11-26T10:15-50.3280-75.35161*19.330.43432.678.0662.575.017.55.0106.70
FLS-2015-2 2015-11-26T12:09-50.3794-75.40932*19.130.63432.698.0672.666.710.320.5121.50
FLS-2015-3 2015-11-26T16:00-50.3467-75.36333110.030.03862.538.0276.126.130.510.083.313.92.8115.90
FLS-2015-32015-11-26T16:00-50.3467-75.36333*49.430.73642.608.0454.160.510.092.35.12.6123.40
FLS-2015-32015-11-26T16:00-50.3467-75.3633389.231.03592.708.0560.504.370.015.710.0138.20
FLS-2015-32015-11-26T16:00-50.3467-75.36333149.331.13542.708.0580.780.064.130.85.198.10
FLS-2015-32015-11-26T16:00-50.3467-75.36333369.031.23652.668.0504.364.200.537.570.02.520.085.50
FLS-2015-4 2015-11-27T11:02-50.3688-75.3656419.531.02413.648.2051.061.75
FLS-2015-42015-11-27T11:02-50.3688-75.36564*49.331.32663.428.1702.941.800.087.55.07.5113.00
FLS-2015-42015-11-27T11:02-50.3688-75.3656499.131.63472.868.0734.751.080.090.07.52.589.10
FLS-2015-42015-11-27T11:02-50.3688-75.36564199.131.73472.848.0727.921.0410.578.97.92.675.10
FLS-2015-42015-11-27T11:02-50.3688-75.36564308.931.73752.688.0445.020.552.687.27.72.685.30
FLS-2015-5 2015-11-28T21:30-50.4252-74.99885*19.830.93223.038.1012.431.300.750.085.012.52.5120.90
FLS-2015-52015-11-28T21:30-50.4252-74.9988589.331.73502.818.0663.272.651.075.392.12.60.099.30
FLS-2015-52015-11-28T21:30-50.4252-74.99885159.231.83862.618.0294.202.561.385.378.97.97.994.90
FLS-2015-52015-11-28T21:30-50.4252-74.99885259.031.94252.447.9945.534.491.807.986.82.62.694.60
FLS-2015-6 2015-11-29T02:10-50.7649-74.43436*29.729.53412.568.0602.697.40.00.0101.40
FLS-2015-7 2015-11-29T06:00-51.2884-74.12237*28.929.03292.478.0682.897.20.00.0102.40
FLS-2015-8 2015-11-29T10:10-51.8275-73.73278*28.828.23462.238.0414.795.30.00.091.50
FLS-2015-9 2015-11-29T14:00-52.3000-73.65679*28.726.63391.988.0302.940.340.0100.00.00.0148.20
FLS-2015-10 2015-11-29T18:10-52.7672-73.811110*28.729.53232.578.0802.697.40.00.0146.80
FLS-2015-11 2015-11-29T22:20-53.2203-73.287111*28.130.33622.438.0420.0100.00.00.0159.60
FLS-2015-12 2015-11-30T02:05-53.5578-72.475212*28.029.73302.498.0730.0100.00.00.0131.20
FLS-2015-13 2015-11-30T06:30-53.1332-72.001213*27.928.73602.168.0290.0100.00.00.0107.90
FLS-2015-14 2015-11-30T10:10-53.0217-71.899514*28.728.53082.498.0890.0100.00.00.093.30
FLS-2015-15 2015-12-01T10:06-52.5610-72.320915*27.816.95420.547.7250.321.532.07#999.0#999.0#999.0#999.0#999.00
FLS-2015-16 2015-12-02T14:10-53.5844-72.309216*28.231.13522.638.06110.889.20.00.0116.20
FLS-2015-17 2015-12-02T15:52-53.8024-72.139817*27.931.03552.568.0560.0100.00.00.0122.70
FLS-2015-18 2015-12-02T22:10-53.8447-72.194618*27.130.83762.358.0313.196.90.00.0124.20
FLS-2015-19 2015-12-03T02:34-53.8929-71.226919*27.730.43302.588.0790.0100.00.00.0111.10
FLS-2015-20 2015-12-03T04:10-53.7483-70.932120*27.230.33452.438.0602.697.40.00.087.50
FLS-2015-21 2015-12-03T05:44-53.5924-70.932621*27.431.23472.598.0662.697.40.00.080.00
FES-2017-22 2017-09-22T10:20-53.5925-72.300022*27.129.83962.198.01111.394.831.001.045.194.90.00.090.50
FES-2017-23 2017-09-22T14:05-53.3833-72.932823*26.728.03642.028.0259.933.800.891.9210.389.70.00.0110.70
FES-2017-24 2017-09-22T17:00-53.1424-73.380724*26.728.33832.018.0118.212.590.752.575.095.00.00.0108.50
FES-2017-25 2017-09-23T00:02-52.5913-73.648525*26.326.53961.677.9788.172.160.260.780.0100.00.00.0123.60
FES-2017-26 2017-09-23T04:05-52.1247-73.689926*26.425.14121.487.9529.526.900.841.340.0100.00.00.0114.10
FES-2017-27 2017-09-23T08:22-51.6840-73.950027*26.826.93651.858.0128.315.090.721.795.194.90.00.0112.80
FES-2017-28 2017-09-23T10:08-51.4631-74.043528*27.327.63422.098.0448.143.110.661.830.0100.00.00.0111.00
FES-2017-29 2017-09-23T16:45-50.7479-74.489229*28.127.63272.218.0605.972.760.472.132.595.02.50.0117.40
FES-2017-30 2017-09-24T23:00-50.3368-75.36303027.228.33842.098.01411.3810.170.890.640.082.110.37.793.90
FES-2017-302017-09-24T23:00-50.3368-75.363030*57.729.03652.278.03712.8312.410.910.840.080.020.00.0100.60
FES-2017-302017-09-24T23:00-50.3368-75.363030107.829.33812.238.02112.0910.940.900.840.078.619.12.490.70
FES-2017-302017-09-24T23:00-50.3368-75.363030207.829.63772.278.02513.2513.350.920.865.176.918.00.097.50
FES-2017-302017-09-24T23:00-50.3368-75.363030508.430.84492.167.96514.7615.161.180.335.762.928.62.967.50
FES-2017-302017-09-24T23:00-50.3368-75.363030759.231.37121.627.79416.2218.521.620.46#9999.0#9999.0#9999.0#9999.0#9999.00
FES-2017-31 2017-09-26T14:45-50.4243-75.001631*27.728.33202.388.0806.694.570.552.810.094.95.10.0110.90
FES-2017-32 2017-09-26T14:50-50.4777-74.985732*57.729.13632.218.0327.715.430.662.342.590.07.50.0103.20
FES-2017-322017-09-26T14:50-50.4777-74.985732107.829.83692.298.03110.458.960.922.632.582.512.52.5104.70
FES-2017-322017-09-26T14:50-50.4777-74.985732208.030.43802.348.02412.739.131.021.680.085.012.52.592.20
FES-2017-322017-09-26T14:50-50.4777-74.985732508.631.64022.438.01012.729.131.091.6016.762.512.58.394.90
FES-2017-322017-09-26T14:50-50.4777-74.985732758.632.13992.538.01712.979.821.161.45#9999.0#9999.0#9999.0#9999.0#9999.00