Data

Microphytoplankton abundance and composition data collected from the Port Hacking 100m station 1998-2009

Australian Ocean Data Network
Macquarie University
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://catalogue.aodn.org.au:443/geonetwork/srv/api/records/bc6bb3ec-bfa0-4a2a-ab01-8c3e337a9013&rft.title=Microphytoplankton abundance and composition data collected from the Port Hacking 100m station 1998-2009&rft.identifier=https://catalogue.aodn.org.au:443/geonetwork/srv/api/records/bc6bb3ec-bfa0-4a2a-ab01-8c3e337a9013&rft.description=Monthly microphytoplankton (~20 - 200 mm diameter fraction) samples were collected from Port Hacking 100m coastal station by hauling a 20 μm mesh net (245 mm diameter, 1.2 m length) with an attached 120 mL plastic jar (no flow meter) from a depth of 50 m from September 1998 to December 2009. Samples were preserved using 3% glutaraldehyde (final concentration) and stored at 4°C prior to microscopic examination. An Olympus BH2 microscope equipped with Differential Interference Contrast (DIC) and Phase Contrast (≤ 400X magnification) was used to identify and enumerate microphytoplankton taxa. In order to characterise the structure of the microphytoplankton community, species presence/absence and abundance were measured. Species presence/absence was estimated by attempting to identify all microphytoplankton taxa present in each sample to species. For some taxa, species-level identification was not possible using routine light microscopy. In such instances, individuals were identified to genus (e.g. Chaetoceros, Pseudo-nitzschia, and Thalassiosira). The length of time devoted to enumerating taxa in a sample varied from 1 hr to 2 hr, as determined using the timed-interval protocol of the Australian Rivers Assessment System (AUSRIVAS) (http://ausrivas.ewater.com.au). Abundance was estimated by counting to a minimum of 100 cells, or 10 traverses, using the Lund cell method (Hotzel and Croome 1999). Trichodesmium erythraeum filaments were converted to cell counts using a conversion factor (30 cells filament-1) that was obtained by averaging the cell counts of 40 filaments (standard deviation: 6.4 cells filament-1).Maintenance and Update Frequency: notPlannedStatement: Sampling was performed approximately monthly with some missing dates. The abundance estimates obtained for this study should be viewed as semi-quantitative due to known biases associated with net sampling. Lund et al (1958) recommended counting to a minimum of 100 cells to give a 95 percent confidence interval of the estimate within +/- 20% of the mean and up to 400 cells to give a 95 confidence interval of +/- 10% of the mean (Sournia 1978).&rft.creator=Macquarie University &rft.date=2014&rft.coverage=westlimit=151.2182; southlimit=-34.1176; eastlimit=151.2182; northlimit=-34.1176&rft.coverage=westlimit=151.2182; southlimit=-34.1176; eastlimit=151.2182; northlimit=-34.1176&rft.coverage=uplimit=50; downlimit=0&rft.coverage=uplimit=50; downlimit=0&rft_rights=Creative Commons Attribution 2.5 Australia License http://creativecommons.org/licenses/by/2.5/au/&rft_rights=The citation in a list of references is: citation author name/s (year metadata published), metadata title. Citation author organisation/s. File identifier and Data accessed at (add http link).&rft_rights=The researcher is currently working on further publications involving this dataset. Please contact Penny Ajani if looking to re-use the data before Dec 2016. If a significant portion of this data is used for publication, co-authorship with the principal investigator should be offered.&rft_subject=oceans&rft_subject=PHYTOPLANKTON&rft_subject=EARTH SCIENCE&rft_subject=BIOLOGICAL CLASSIFICATION&rft_subject=PROTISTS&rft_subject=PLANKTON&rft_subject=COMMUNITY STRUCTURE&rft_subject=BIOSPHERE&rft_subject=ECOLOGICAL DYNAMICS&rft_subject=COMMUNITY DYNAMICS&rft_subject=Nets | Plankton Nets/Drop Nets | Phytoplankton Nets&rft_subject=States, Territories (Australia) | New South Wales&rft_subject=Global\Oceans | Pacific Ocean&rft_subject=Abundance&rft_subject=Diversity&rft_subject=IMOS Platform | PH100 | Port Hacking 100m Mooring&rft_subject=Abundance of biota&rft_subject=Biotic taxonomic identification&rft.type=dataset&rft.language=English Access the data
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Creative Commons Attribution 2.5 Australia License
http://creativecommons.org/licenses/by/2.5/au/

The citation in a list of references is: citation author name/s (year metadata published), metadata title. Citation author organisation/s. File identifier and Data accessed at (add http link).

The researcher is currently working on further publications involving this dataset. Please contact Penny Ajani if looking to re-use the data before Dec 2016. If a significant portion of this data is used for publication, co-authorship with the principal investigator should be offered.

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Brief description

Monthly microphytoplankton (~20 - 200 mm diameter fraction) samples were collected from Port Hacking 100m coastal station by hauling a 20 μm mesh net (245 mm diameter, 1.2 m length) with an attached 120 mL plastic jar (no flow meter) from a depth of 50 m from September 1998 to December 2009. Samples were preserved using 3% glutaraldehyde (final concentration) and stored at 4°C prior to microscopic examination. An Olympus BH2 microscope equipped with Differential Interference Contrast (DIC) and Phase Contrast (≤ 400X magnification) was used to identify and enumerate microphytoplankton taxa. In order to characterise the structure of the microphytoplankton community, species presence/absence and abundance were measured. Species presence/absence was estimated by attempting to identify all microphytoplankton taxa present in each sample to species. For some taxa, species-level identification was not possible using routine light microscopy. In such instances, individuals were identified to genus (e.g. Chaetoceros, Pseudo-nitzschia, and Thalassiosira). The length of time devoted to enumerating taxa in a sample varied from 1 hr to 2 hr, as determined using the timed-interval protocol of the Australian Rivers Assessment System (AUSRIVAS) (http://ausrivas.ewater.com.au). Abundance was estimated by counting to a minimum of 100 cells, or 10 traverses, using the Lund cell method (Hotzel and Croome 1999). Trichodesmium erythraeum filaments were converted to cell counts using a conversion factor (30 cells filament-1) that was obtained by averaging the cell counts of 40 filaments (standard deviation: 6.4 cells filament-1).

Lineage

Maintenance and Update Frequency: notPlanned
Statement: Sampling was performed approximately monthly with some missing dates. The abundance estimates obtained for this study should be viewed as semi-quantitative due to known biases associated with net sampling. Lund et al (1958) recommended counting to a minimum of 100 cells to give a 95 percent confidence interval of the estimate within +/- 20% of the mean and up to 400 cells to give a 95 confidence interval of +/- 10% of the mean (Sournia 1978).

Notes

Credit
Samples for this work were collected and paid for by the Office of Environment and Heritage and CSIRO (Contact Dr Tim Ingleton, Tim.Ingleton@environment.nsw.gov.au).
Credit
Australian Postgraduate Award (APA)
Credit
NSW Food Authority
Credit
Linnean Society of NSW
Credit
Australian Government’s Australian Biological Resource Study
Credit
Integrated Marine Observing System (IMOS)
Credit
Principal PhD supervision by Leanne Armand (now deceased)

Created: 26 06 2014

Data time period: 1998-09-30 to 2009-12-07

This dataset is part of a larger collection

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151.2182,-34.1176

151.2182,-34.1176

text: westlimit=151.2182; southlimit=-34.1176; eastlimit=151.2182; northlimit=-34.1176

text: uplimit=50; downlimit=0

Subjects
Abundance | Abundance of biota | BIOLOGICAL CLASSIFICATION | BIOSPHERE | Biotic taxonomic identification | COMMUNITY DYNAMICS | Community Structure | Diversity | EARTH SCIENCE | ECOLOGICAL DYNAMICS | Global\Oceans | Pacific Ocean | IMOS Platform | PH100 | Port Hacking 100m Mooring | Nets | Plankton Nets/Drop Nets | Phytoplankton Nets | Phytoplankton | PLANKTON | PROTISTS | States, Territories (Australia) | New South Wales | oceans |

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Other Information
Link to download abundance data file (in addition please consult Creative Commons license information for attribution and additional instructions) (Microphytoplankton_abundance_PH100_1998_to_2009.csv)

uri : https://catalogue.aodn.org.au:443/geonetwork/srv/api/records/bc6bb3ec-bfa0-4a2a-ab01-8c3e337a9013/attachments/Microphytoplankton_abundance_PH100_1998_to_2009.csv

Link to download presence/absence data file (in addition please consult Creative Commons license information for attribution and additional instructions) (Microphytoplankton_presence_absence_PH100_1998_to_2009.csv)

uri : https://catalogue.aodn.org.au:443/geonetwork/srv/api/records/bc6bb3ec-bfa0-4a2a-ab01-8c3e337a9013/attachments/Microphytoplankton_presence_absence_PH100_1998_to_2009.csv

Link to download species data file (in addition please consult Creative Commons license information for attribution and additional instructions) (Microphytoplankton_species_PH100_1998_to_2009.csv)

uri : https://catalogue.aodn.org.au:443/geonetwork/srv/api/records/bc6bb3ec-bfa0-4a2a-ab01-8c3e337a9013/attachments/Microphytoplankton_species_PH100_1998_to_2009.csv

Identifiers
  • global : bc6bb3ec-bfa0-4a2a-ab01-8c3e337a9013
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