http://lod.bco-dmo.org/id/dataset/756942
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2019-02-26
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Trichodesmium thermal curve from October to November 2018
2019-02-26
publication
2019-02-26
revision
BCO-DMO Linked Data URI
2019-02-26
creation
http://lod.bco-dmo.org/id/dataset/756942
Feixue Fu
University of Southern California
principalInvestigator
David A. Hutchins
University of Southern California
principalInvestigator
Naomi M. Levine
University of Southern California
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Fu, F., Levine, N. M., Hutchins, D. A. (2019) Trichodesmium thermal curve from October to November 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-02-26 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/756942 [access date]
Trichodesmium thermal curve Dataset Description: <p>This dataset includes specific growth rates from subsamples taken from&nbsp;<em>Trichodesmium erythraeum</em>&nbsp;GBR strain incubated at different temperatures and phosphate concentrations to examine the interaction of intensity of thermal variability and phosphate limitation on growth rates, carbon fixation,&nbsp;and nitrogen fixation rates.</p> Methods and Sampling: <div>The&nbsp;<em>Trichodesmium erythraeum</em>&nbsp;GBRTRLI101 strain used in this project was a tropical strain collected and isolated from the Great Barrier Reef (Fu and Bell 2003). In this study, the cultures were maintained with autoclaved artificial seawater by adding phosphate (10 μM), vitamins and trace metals as suggested by Aquil recipe (Garcia et al. 2011). Cool white fluorescent bulbs were used to provide a 12h dark: 12h light cycle at 150 μmol photons m-2s-1. Cultures were grown in acid-washed 120-ml plastic jars fitting into the thermal block that provides an even temperature gradient.&nbsp;</div>
<div>According to Fu et al. (2014), the temperature limit of this strain is 18-32°C, while the optimal growth range is 24-28°C. Within the optimal range, the growth of&nbsp;<em>Trichodesmium erythraeum</em>&nbsp;was at plateau stage therefore thermal variations that fall wholly within this range was expected to have negligible effects. 22°C and 30°C represents the “cold” and “warm” phases of the variation cycle. For each constant temperature, one or two variable treatments were used simultaneously, each with an average temperature equal to the corresponding constant temperature. There was an “intense” 18-26°C variable treatment and a “mild” 20-24°C variable treatment for 22°C. For 30°C, only one variable treatment “28-32°C” was used, because an “intense” one periodically exceeding the strain’s upper temperature limit was likely to kill the cultures.</div>
<div>For all the treatments, semi-continuous incubation methods were applied and dilution was conducted every four days. In each 4-day cycle, the first 48 hours of variable treatments were at a lower temperature (respectively 18, 20 and 28°C) and the second 48 hours were at a higher temperature (respectively 26, 24 and 32°C). In order to investigate the interactions between phosphate availability and thermal variation, there were triplicate bottles for phosphorus-replete (10 μmol/L) and phosphorus-limiting (0.2 μmol/L) conditions under the 5 constant and variable temperature treatments above.&nbsp;</div>
<div>Semi-continuous incubation was maintained until steady state was reached. Data on specific growth rates, nitrogen and carbon fixation rates were collected and analyzed. There were three sampling points in each cycle: the initial point (0 hour after the dilution and transfer to LT phase), the middle point (48 hours after the dilution, end of LT phase) and the final point (96 hours after the dilution, end of HT phase). For variable temperature treatments, nitrogen and carbon fixation data at the middle and final points and the average values of these two phases were compared to the corresponding data from the constant treatment.&nbsp;<br />
<br />
<em>Growth rates.</em>&nbsp;During the semi-continuous incubation, real-time biomass was estimated with in vivo fluorescence before and after dilution, and subsequently validated by microscopy using preserved cell counts. Specific growth rates (μ) were calculated based on the&nbsp;<em>in vivo</em>&nbsp;fluorescence readings as: μ= ln(Nt2/Nt1)/(t2-t1), where Nt1, and Nt2 refer to biomass ( as&nbsp;<em>in vivo</em>&nbsp;fluorescence readings) at time 1 (t1)and 2 (t2) (in days) respectively (Ihnken et al. 2011).&nbsp;<br />
<br />
<em>Nitrogen fixation measurements.</em>&nbsp;N2-fixation rate was determined using the Acetylene Reduction method (Capone 1993) by gas chromatography with a Shimadzu gas chromatograph GC-8a (Shimadzu Scientific Instruments). 10 ml of culture was added to a 27 ml serum vial. The vial was then air-tighten and 2 ml air was extracted. Then 2 ml of acetylene (C2H2) was added to the headspace of each vial. There is a theoretical 3:1 ratio (mol C2H2 to mol N2 reduced) to calculate the N2 fixation based on the rates of ethylene production (Montoya et al. 1996). Ethylene production was measured by injecting 200 μl of headspace to the GC device at 4-5 h intervals over the entire 12 h light period (Tuit et al. 2004). For each treatment, 3-6 replicates were incubated under the same light and temperature conditions. After total N2-fixation rates are measured, the cell count, PON and POC of each sample were measured and used to normalize N2-fixation rates.&nbsp;<br />
<br />
<em>C fixation rates.</em>&nbsp;To measure uptake rates of carbon and iron, 0.2 μCi 14C-NaH14CO3 was added to 30 ml subsamples from each replicate (specific activity for final solutions was roughly 0.25 kBq/ml; PerkinElmer). The background dissolved inorganic carbon in the medium was determined by DIC measurements. Samples were then incubated for 24 h or select time under their respective experimental conditions, and filtered onto GF/F filters. To correct for filter adsorption, 30 ml of cultures from each treatment (10ml from each replicate bottle) was filtered immediately after adding equal amounts of NaH14CO3. All filters were rinsed with artificial seawater. Filters were then placed in 7 ml scintillation vials in the dark overnight after adding 4 ml scintillation fluid. To determine the total radioactivity (TA), 1 μCi 14C-NaH14CO3 together with 100 μl Phenylalanine was placed in identical scintillation vials with the addition of 4 ml scintillation solution. 14C radioactivity was measured using liquid scintillation counting (Perkin Elmer) for TA, blanks and samples (Xu et al. 2014).&nbsp;</div>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1538525 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1538525
completed
Feixue Fu
University of Southern California
2137403188
Department of Biology, MC 0371, University of Southern California 3616 Trousdale Pkwy
Los Angeles
CA
90089
USA
ffu@usc.edu
pointOfContact
David A. Hutchins
University of Southern California
213-740-5616
Department of Biological Sciences 3616 Trousdale Parkway, AHF 20
Los Angeles
CA
90089
USA
dahutch@usc.edu
pointOfContact
Naomi M. Levine
University of Southern California
213-821-0745
3616 Trousdale Parkway AHF 107
Los Angeles
CA
90089-0371
USA
n.levine@usc.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Sample_name
Temperature
Phosphate_concentration
dates
specific_growth_rate
start_date
end_date
ECS4010 CHNSO ANALYZER
theme
None, User defined
sample identification
water temperature at measurement depth
reactive phosphorus (PO4)
date_range
growth
start_date
end_date
featureType
BCO-DMO Standard Parameters
CHN Elemental Analyzer
Microscope - Optical
Turner Designs Fluorometer 10-AU
instrument
BCO-DMO Standard Instruments
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
How does intensity and frequency of environmental variability affect phytoplankton growth?
https://osprey.bco-dmo.org/project/668547
How does intensity and frequency of environmental variability affect phytoplankton growth?
<p><em>NSF Award Abstract:</em><br />
Microscopic plants called phytoplankton are key members of global oceanic ecosystems, since their photosynthesis supports the majority of the marine food chain and produces about as much oxygen as land plants. Because of this, oceanographers have often carried out experiments examining how factors such as temperature and carbon dioxide levels may affect phytoplankton growth. Most previous experiments have used constant levels of temperature and carbon dioxide, but it is clear from looking at measurements from real ocean ecosystems that these two factors often vary greatly over timescales of days to weeks. Using field and laboratory experiments along with computer modeling, this project will test how the growth of several major groups of phytoplankton differs under constant conditions of temperature and carbon dioxide, compared to conditions in which these factors fluctuate in intensity and frequency. This research will give marine scientists a better picture of how phytoplankton may respond to a varying natural environment today and in the future, and therefore help us to understand how ocean food webs function to support critical living resources such as fisheries. The project will train graduate and undergraduate students and a postdoctoral researcher, and the lead scientists will be involved in an ocean science education program for largely minority high school students from a downtown Los Angeles school district.</p>
<p>The goal of this project is to use laboratory culture and natural community experiments to understand how realistically fluctuating temperature and pCO2 conditions may affect globally important phytoplankton groups in ways that differ from the artificial constant exposures used in previous work. Culture experiments will test how the intensity and frequency of short-term thermal and carbonate fluctuations affects the growth responses of diazotrophic and picoplanktonic cyanobacteria, coccolithophores, and diatoms under both current and projected future environmental conditions. These lab results will be supported and extended by parallel experiments using mixed natural assemblages from the California upwelling regime, allowing us to test these same questions using phytoplankton communities that experience large seasonal shifts between highly dynamic thermal and carbonate system conditions during the spring upwelling season, and relatively much more static conditions during fall stratification events. These results will be synthesized using a new generation of numerical models that employ novel approaches to incorporating realistic environmental variations to allow more accurate predictions of phytoplankton responses to a dynamic environment in today's marine ecosystems, and in the future changing ocean.</p>
Enviro variability and phytoplankton growth
largerWorkCitation
project
eng; USA
oceans
2018-10-06
2018-11-12
laboratory experiment
0
BCO-DMO catalogue of parameters from Trichodesmium thermal curve from October to November 2018
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/756973.rdf
Name: Sample_name
Units: unitless
Description: <p>sample name</p>
http://lod.bco-dmo.org/id/dataset-parameter/756974.rdf
Name: Temperature
Units: degrees Celsius
Description: <p>temperature</p>
http://lod.bco-dmo.org/id/dataset-parameter/756975.rdf
Name: Phosphate_concentration
Units: micromole per Liter (umol/L)
Description: <p>concentration of phosphate</p>
http://lod.bco-dmo.org/id/dataset-parameter/756976.rdf
Name: dates
Units: unitless
Description: <p>date duration</p>
http://lod.bco-dmo.org/id/dataset-parameter/756977.rdf
Name: specific_growth_rate
Units: per day
Description: <p>specific growth rate</p>
http://lod.bco-dmo.org/id/dataset-parameter/756978.rdf
Name: start_date
Units: unitless
Description: <p>start date in yyyy-mm-dd format</p>
http://lod.bco-dmo.org/id/dataset-parameter/756979.rdf
Name: end_date
Units: unitless
Description: <p>end date in yyyy-mm-dd format</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
4408
https://datadocs.bco-dmo.org/file/5AAMkWZfMgQqQM/thermal_curve.csv
thermal_curve.csv
Primary data file for dataset ID 756942
download
https://osprey.bco-dmo.org/dataset/756942/data/download
download
onLine
dataset
<div>The&nbsp;<em>Trichodesmium erythraeum</em>&nbsp;GBRTRLI101 strain used in this project was a tropical strain collected and isolated from the Great Barrier Reef (Fu and Bell 2003). In this study, the cultures were maintained with autoclaved artificial seawater by adding phosphate (10 μM), vitamins and trace metals as suggested by Aquil recipe (Garcia et al. 2011). Cool white fluorescent bulbs were used to provide a 12h dark: 12h light cycle at 150 μmol photons m-2s-1. Cultures were grown in acid-washed 120-ml plastic jars fitting into the thermal block that provides an even temperature gradient.&nbsp;</div>
<div>According to Fu et al. (2014), the temperature limit of this strain is 18-32°C, while the optimal growth range is 24-28°C. Within the optimal range, the growth of&nbsp;<em>Trichodesmium erythraeum</em>&nbsp;was at plateau stage therefore thermal variations that fall wholly within this range was expected to have negligible effects. 22°C and 30°C represents the “cold” and “warm” phases of the variation cycle. For each constant temperature, one or two variable treatments were used simultaneously, each with an average temperature equal to the corresponding constant temperature. There was an “intense” 18-26°C variable treatment and a “mild” 20-24°C variable treatment for 22°C. For 30°C, only one variable treatment “28-32°C” was used, because an “intense” one periodically exceeding the strain’s upper temperature limit was likely to kill the cultures.</div>
<div>For all the treatments, semi-continuous incubation methods were applied and dilution was conducted every four days. In each 4-day cycle, the first 48 hours of variable treatments were at a lower temperature (respectively 18, 20 and 28°C) and the second 48 hours were at a higher temperature (respectively 26, 24 and 32°C). In order to investigate the interactions between phosphate availability and thermal variation, there were triplicate bottles for phosphorus-replete (10 μmol/L) and phosphorus-limiting (0.2 μmol/L) conditions under the 5 constant and variable temperature treatments above.&nbsp;</div>
<div>Semi-continuous incubation was maintained until steady state was reached. Data on specific growth rates, nitrogen and carbon fixation rates were collected and analyzed. There were three sampling points in each cycle: the initial point (0 hour after the dilution and transfer to LT phase), the middle point (48 hours after the dilution, end of LT phase) and the final point (96 hours after the dilution, end of HT phase). For variable temperature treatments, nitrogen and carbon fixation data at the middle and final points and the average values of these two phases were compared to the corresponding data from the constant treatment.&nbsp;<br />
<br />
<em>Growth rates.</em>&nbsp;During the semi-continuous incubation, real-time biomass was estimated with in vivo fluorescence before and after dilution, and subsequently validated by microscopy using preserved cell counts. Specific growth rates (μ) were calculated based on the&nbsp;<em>in vivo</em>&nbsp;fluorescence readings as: μ= ln(Nt2/Nt1)/(t2-t1), where Nt1, and Nt2 refer to biomass ( as&nbsp;<em>in vivo</em>&nbsp;fluorescence readings) at time 1 (t1)and 2 (t2) (in days) respectively (Ihnken et al. 2011).&nbsp;<br />
<br />
<em>Nitrogen fixation measurements.</em>&nbsp;N2-fixation rate was determined using the Acetylene Reduction method (Capone 1993) by gas chromatography with a Shimadzu gas chromatograph GC-8a (Shimadzu Scientific Instruments). 10 ml of culture was added to a 27 ml serum vial. The vial was then air-tighten and 2 ml air was extracted. Then 2 ml of acetylene (C2H2) was added to the headspace of each vial. There is a theoretical 3:1 ratio (mol C2H2 to mol N2 reduced) to calculate the N2 fixation based on the rates of ethylene production (Montoya et al. 1996). Ethylene production was measured by injecting 200 μl of headspace to the GC device at 4-5 h intervals over the entire 12 h light period (Tuit et al. 2004). For each treatment, 3-6 replicates were incubated under the same light and temperature conditions. After total N2-fixation rates are measured, the cell count, PON and POC of each sample were measured and used to normalize N2-fixation rates.&nbsp;<br />
<br />
<em>C fixation rates.</em>&nbsp;To measure uptake rates of carbon and iron, 0.2 μCi 14C-NaH14CO3 was added to 30 ml subsamples from each replicate (specific activity for final solutions was roughly 0.25 kBq/ml; PerkinElmer). The background dissolved inorganic carbon in the medium was determined by DIC measurements. Samples were then incubated for 24 h or select time under their respective experimental conditions, and filtered onto GF/F filters. To correct for filter adsorption, 30 ml of cultures from each treatment (10ml from each replicate bottle) was filtered immediately after adding equal amounts of NaH14CO3. All filters were rinsed with artificial seawater. Filters were then placed in 7 ml scintillation vials in the dark overnight after adding 4 ml scintillation fluid. To determine the total radioactivity (TA), 1 μCi 14C-NaH14CO3 together with 100 μl Phenylalanine was placed in identical scintillation vials with the addition of 4 ml scintillation solution. 14C radioactivity was measured using liquid scintillation counting (Perkin Elmer) for TA, blanks and samples (Xu et al. 2014).&nbsp;</div>
Specified by the Principal Investigator(s)
<p>Microsoft Excel 14.4.2<br />
<br />
<strong>BCO-DMO Processing Notes:</strong><br />
- added conventional header with dataset name, PI name, version date<br />
- modified parameter names to conform with BCO-DMO naming conventions<br />
- appended start date and end date columns which were extracted from the date column.</p>
Specified by the Principal Investigator(s)
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
ECS4010 CHNSO ANALYZER
ECS4010 CHNSO ANALYZER
PI Supplied Instrument Name: ECS4010 CHNSO ANALYZER PI Supplied Instrument Description:Costech Elemental Analyzer Instrument Name: CHN Elemental Analyzer Instrument Short Name:CHN_EA Instrument Description: A CHN Elemental Analyzer is used for the determination of carbon, hydrogen, and nitrogen content in organic and other types of materials, including solids, liquids, volatile, and viscous samples.
PI Supplied Instrument Name: PI Supplied Instrument Description:Used to validate growth rates calculated from fluorescence. Instrument Name: Microscope - Optical Instrument Short Name: Instrument Description: Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of visible light. Includes conventional and inverted instruments. Also called a "light microscope". Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB05/
PI Supplied Instrument Name: PI Supplied Instrument Description:Used for in vivo fluorescence Instrument Name: Turner Designs Fluorometer 10-AU Instrument Short Name:Turner Fluorometer 10-AU Instrument Description: The Turner Designs 10-AU Field Fluorometer is used to measure Chlorophyll fluorescence. The 10AU Fluorometer can be set up for continuous-flow monitoring or discrete sample analyses. A variety of compounds can be measured using application-specific optical filters available from the manufacturer (read more from Turner Designs, turnerdesigns.com, Sunnyvale, CA, USA). Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0393/