http://lod.bco-dmo.org/id/dataset/848587
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
2021-04-09
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Elemental composition of phytoplankton communities from multivariate mesocosm experiments conducted with a natural phytoplankton community from Narragansett Bay, RI.
2021-04-26
publication
2021-04-26
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2021-04-28
publication
https://doi.org/10.26008/1912/bco-dmo.848587.1
Stephanie I. Anderson
University of Rhode Island
principalInvestigator
Gayantonia Franzè
Institute of Marine Research (Bergen, Norway)
principalInvestigator
David A. Hutchins
University of Southern California
principalInvestigator
Joshua D. Kling
University of California-Berkeley
principalInvestigator
Colin T. Kremer
University of California-Los Angeles
principalInvestigator
Elena Litchman
Michigan State University
principalInvestigator
Susanne Menden-Deuer
University of Rhode Island
principalInvestigator
Tatiana A. Rynearson
University of Rhode Island
principalInvestigator
Paul Wilburn
Michigan State University
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: Anderson, S. I., Franze, G., Kling, J. D., Wilburn, P., Kremer, C. T., Menden-Deuer, S., Litchman, E., Hutchins, D. A., Rynearson, T. A. (2021) Elemental composition of phytoplankton communities from multivariate mesocosm experiments conducted with a natural phytoplankton community from Narragansett Bay, RI. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-04-26 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.848587.1 [access date]
Methods and Sampling: <p>The elemental composition of phytoplankton communities was analyzed via multivariate mesocosm experiments conducted with a natural phytoplankton community from Narragansett Bay, RI. Water was incubated in triplicate at -0.5ºC, 2.6ºC, and 6ºC for 10 days. At each temperature, treatments included both nutrient amendments (N, P, Si addition) and controls (no macronutrients added).</p>
<p>At the onset and conclusion of the incubation for all treatments, and additionally at each dilution time point for 2.6 and 6ºC amended treatments, each biological incubation replicate was assessed for particulate organic carbon (POC) and nitrogen (PON), and biogenic silica (BSi) content. POC and PON were evaluated in triplicate by harvesting cells onto 25 millimeter (mm) GF/F filters which had been pre-combusted at 450ºC for 24 hours.&nbsp; Filters were then analyzed on a Costech Elemental Combustion System&nbsp;(Costech Analytical Technologies Inc.). BSi content was assessed by filtering cells in triplicate onto 2 micrometer (µm) polycarbonate filters and analyzing them on a Barnstead Turner SP-830 spectrophotometer, following the methods of Strickland and Parsons (1972). Additionally, nutrient analyses of ammonium, phosphate, silicate, and nitrite/nitrate (total inorganic nitrogen) were evaluated using a Lachat Quikchem 8500 analyzer (Hach) at the University of Rhode Island Marine Science Research Facility.</p>
<p>For complete methodology, see “The Interactive Effects of Temperature and Nutrients on a Spring Phytoplankton Community” (Anderson et al, <em>in prep</em>).</p>
<p>Note: Due to operator error, one replicate of POC and PON had to be discarded from the 6ºC amended incubation.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1638834 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1638834
completed
Stephanie I. Anderson
University of Rhode Island
401-874-6264
215 South Ferry Road
Narragansett
RI
02882
USA
sianderson@uri.edu
pointOfContact
Gayantonia Franzè
Institute of Marine Research (Bergen, Norway)
franze@hi.no
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
Joshua D. Kling
University of California-Berkeley
Joshuakling13@gmail.com
pointOfContact
Colin T. Kremer
University of California-Los Angeles
colin.kremer@uconn.edu
pointOfContact
Elena Litchman
Michigan State University
269-671-2338
3700 E Gull Lake Dr.
Hickory Corners
MI
49060
USA
litchman@msu.edu
pointOfContact
Susanne Menden-Deuer
University of Rhode Island
215 South Ferry Rd.
Narragansett
RI
02882
USA
smenden@uri.edu
pointOfContact
Tatiana A. Rynearson
University of Rhode Island
401-874-6022
Graduate School of Oceanography, University of Rhode Island 215 South Ferry Rd.
Narragansett
RI
02882
USA
rynearson@uri.edu
pointOfContact
Paul Wilburn
Michigan State University
willnotburn@gmail.com
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Sample
Replicate
Date
Temperature
Nutrient
uM_Si
uM_C
uM_N
CN
SiC
Costech Elemental Combustion System
Lachat Quikchem 8500 analyzer
Turner SP-830 spectrophotometer
theme
None, User defined
sample identification
replicate
date
water temperature at measurement depth
treatment
silica
particulate organic Carbon (POC)
particulate organic nitrogen
Carbon to Nitrogen ratio (C:N)
ratio
featureType
BCO-DMO Standard Parameters
Costech International Elemental Combustion System (ECS) 4010
Flow Injection Analyzer
Spectrophotometer
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.
Dimensions of Biodiversity
http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503446
Dimensions of Biodiversity
(adapted from the NSF Synopsis of Program)
Dimensions of Biodiversity is a program solicitation from the NSF Directorate for Biological Sciences. FY 2010 was year one of the program. [MORE from NSF]
The NSF Dimensions of Biodiversity program seeks to characterize biodiversity on Earth by using integrative, innovative approaches to fill rapidly the most substantial gaps in our understanding. The program will take a broad view of biodiversity, and in its initial phase will focus on the integration of genetic, taxonomic, and functional dimensions of biodiversity. Project investigators are encouraged to integrate these three dimensions to understand the interactions and feedbacks among them. While this focus complements several core NSF programs, it differs by requiring that multiple dimensions of biodiversity be addressed simultaneously, to understand the roles of biodiversity in critical ecological and evolutionary processes.
Dimensions of Biodiversity
largerWorkCitation
program
Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients
https://osprey.bco-dmo.org/project/712787
Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients
<p><em>NSF Award Abstract:</em><br />
Photosynthetic marine microbes, phytoplankton, contribute half of global primary production, form the base of most aquatic food webs and are major players in global biogeochemical cycles. Understanding their community composition is important because it affects higher trophic levels, the cycling of energy and elements and is sensitive to global environmental change. This project will investigate how phytoplankton communities respond to two major global change stressors in aquatic systems: warming and changes in nutrient availability. The researchers will work in two marine systems with a long history of environmental monitoring, the temperate Narragansett Bay estuary in Rhode Island and a subtropical North Atlantic site near Bermuda. They will use field sampling and laboratory experiments with multiple species and varieties of phytoplankton to assess the diversity in their responses to different temperatures under high and low nutrient concentrations. If the diversity of responses is high within species, then that species may have a better chance to adapt to rising temperatures and persist in the future. Some species may already be able to grow at high temperatures; consequently, they may become more abundant as the ocean warms. The researchers will incorporate this response information in mathematical models to predict how phytoplankton assemblages would reorganize under future climate scenarios. Graduate students and postdoctoral associates will be trained in diverse scientific approaches and techniques such as shipboard sampling, laboratory experiments, genomic analyses and mathematical modeling. The results of the project will be incorporated into K-12 teaching, including an advanced placement environmental science class for underrepresented minorities in Los Angeles, data exercises for rural schools in Michigan and disseminated to the public through an environmental journalism institute based in Rhode Island.</p>
<p>Predicting how ecological communities will respond to a changing environment requires knowledge of genetic, phylogenetic and functional diversity within and across species. This project will investigate how the interaction of phylogenetic, genetic and functional diversity in thermal traits within and across a broad range of species determines the responses of marine phytoplankton communities to rising temperature and changing nutrient regimes. High genetic and functional diversity within a species may allow evolutionary adaptation of that species to warming. If the phylogenetic and functional diversity is higher across species, species sorting and ecological community reorganization is likely. Different marine sites may have a different balance of genetic and functional diversity within and across species and, thus, different contribution of evolutionary and ecological responses to changing climate. The research will be conducted at two long-term time series sites in the Atlantic Ocean, the Narragansett Bay Long-Term Plankton Time Series and the Bermuda Atlantic Time Series (BATS) station. The goal is to assess intra- and inter-specific genetic and functional diversity in thermal responses at contrasting nutrient concentrations for a representative range of species in communities at the two sites in different seasons, and use this information to parameterize eco-evolutionary models embedded into biogeochemical ocean models to predict responses of phytoplankton communities to projected rising temperatures under realistic nutrient conditions. Model predictions will be informed by and tested with field data, including the long-term data series available for both sites and in community temperature manipulation experiments. This project will provide novel information on existing intraspecific genetic and functional thermal diversity for many ecologically and biogeochemically important phytoplankton species, estimate generation of new genetic and functional diversity in evolution experiments, and develop and parameterize novel eco-evolutionary models interfaced with ocean biogeochemical models to predict future phytoplankton community structure. The project will also characterize the interaction of two major global change stressors, warming and changing nutrient concentrations, as they affect phytoplankton diversity at functional, genetic, and phylogenetic levels. In addition, the project will develop novel modeling methodology that will be broadly applicable to understanding how other types of complex ecological communities may adapt to a rapidly warming world.</p>
Phytoplankton Community Responses
largerWorkCitation
project
eng; USA
oceans
-71.39
-71.39
41.57
41.57
2017-03-20
2017-03-20
Narragansett Bay, RI and Bermuda, Bermuda Atlantic Time-series Study (BATS)
0
BCO-DMO catalogue of parameters from Elemental composition of phytoplankton communities from multivariate mesocosm experiments conducted with a natural phytoplankton community from Narragansett Bay, RI.
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/849061.rdf
Name: Sample
Units: unitless
Description: <p>Sample identification number</p>
http://lod.bco-dmo.org/id/dataset-parameter/849062.rdf
Name: Replicate
Units: unitless
Description: <p>Biological replicate identification</p>
http://lod.bco-dmo.org/id/dataset-parameter/849063.rdf
Name: Date
Units: days
Description: <p>Day of experiment in which sample was collected</p>
http://lod.bco-dmo.org/id/dataset-parameter/849064.rdf
Name: Temperature
Units: degrees celsius (°C)
Description: <p>Temperature treatment in which incubation was conducted</p>
http://lod.bco-dmo.org/id/dataset-parameter/849065.rdf
Name: Nutrient
Units: unitless
Description: <p>Nutrient treatment in which incubation was conducted</p>
http://lod.bco-dmo.org/id/dataset-parameter/849066.rdf
Name: uM_Si
Units: micromoles per liter (µmol/L)
Description: <p>Biogenic silica in sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/849067.rdf
Name: uM_C
Units: micromoles per liter (µmol/L)
Description: <p>Particulate organic carbon in sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/849068.rdf
Name: uM_N
Units: micromoles per liter (µmol/L)
Description: <p>Particulate organic nitrogen in sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/849069.rdf
Name: CN
Units: unitless
Description: <p>Ratio of carbon to nitrogen in sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/849070.rdf
Name: SiC
Units: unitless
Description: <p>Ratio of biogenic silica to carbon in sample</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
2019
https://darchive.mblwhoilibrary.org/bitstream/1912/27026/1/dataset-848587_march-incubation-phytoplankton-elemental-composition__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.848587.1
download
onLine
dataset
<p>The elemental composition of phytoplankton communities was analyzed via multivariate mesocosm experiments conducted with a natural phytoplankton community from Narragansett Bay, RI. Water was incubated in triplicate at -0.5ºC, 2.6ºC, and 6ºC for 10 days. At each temperature, treatments included both nutrient amendments (N, P, Si addition) and controls (no macronutrients added).</p>
<p>At the onset and conclusion of the incubation for all treatments, and additionally at each dilution time point for 2.6 and 6ºC amended treatments, each biological incubation replicate was assessed for particulate organic carbon (POC) and nitrogen (PON), and biogenic silica (BSi) content. POC and PON were evaluated in triplicate by harvesting cells onto 25 millimeter (mm) GF/F filters which had been pre-combusted at 450ºC for 24 hours.&nbsp; Filters were then analyzed on a Costech Elemental Combustion System&nbsp;(Costech Analytical Technologies Inc.). BSi content was assessed by filtering cells in triplicate onto 2 micrometer (µm) polycarbonate filters and analyzing them on a Barnstead Turner SP-830 spectrophotometer, following the methods of Strickland and Parsons (1972). Additionally, nutrient analyses of ammonium, phosphate, silicate, and nitrite/nitrate (total inorganic nitrogen) were evaluated using a Lachat Quikchem 8500 analyzer (Hach) at the University of Rhode Island Marine Science Research Facility.</p>
<p>For complete methodology, see “The Interactive Effects of Temperature and Nutrients on a Spring Phytoplankton Community” (Anderson et al, <em>in prep</em>).</p>
<p>Note: Due to operator error, one replicate of POC and PON had to be discarded from the 6ºC amended incubation.</p>
Specified by the Principal Investigator(s)
<p dir="ltr">BCO-DMO processing:<br />
- Adjusted field/parameter names to comply with database requirements<br />
- Missing data identifier ‘NA’ and ‘N/A’ replaced with 'nd' (BCO-DMO's default missing data identifier)<br />
- Added a conventional header with dataset name, PI names, version date<br />
- Columns:&nbsp;uM_Si, uM_C, uM_N, CN, SiC were rounded to the&nbsp;thousandth decimal place</p>
<p dir="ltr">&nbsp;</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
Costech Elemental Combustion System
Costech Elemental Combustion System
PI Supplied Instrument Name: Costech Elemental Combustion System Instrument Name: Costech International Elemental Combustion System (ECS) 4010 Instrument Short Name:Costech ECS 4010 Instrument Description: The ECS 4010 Nitrogen / Protein Analyzer is an elemental combustion analyser for CHNSO elemental analysis and Nitrogen / Protein determination. The GC oven and separation column have a temperature range of 30-110 degC, with control of +/- 0.1 degC.
Lachat Quikchem 8500 analyzer
Lachat Quikchem 8500 analyzer
PI Supplied Instrument Name: Lachat Quikchem 8500 analyzer PI Supplied Instrument Description:Lachat Quikchem 8500 analyzer (Hach) Instrument Name: Flow Injection Analyzer Instrument Short Name:FIA Instrument Description: An instrument that performs flow injection analysis. Flow injection analysis (FIA) is an approach to chemical analysis that is accomplished by injecting a plug of sample into a flowing carrier stream. FIA is an automated method in which a sample is injected into a continuous flow of a carrier solution that mixes with other continuously flowing solutions before reaching a detector. Precision is dramatically increased when FIA is used instead of manual injections and as a result very specific FIA systems have been developed for a wide array of analytical techniques. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB36/
Turner SP-830 spectrophotometer
Turner SP-830 spectrophotometer
PI Supplied Instrument Name: Turner SP-830 spectrophotometer PI Supplied Instrument Description:Turner SP-830 spectrophotometer (Barnstead International) Instrument Name: Spectrophotometer Instrument Short Name:Spectrophotometer Instrument Description: An instrument used to measure the relative absorption of electromagnetic radiation of different wavelengths in the near infra-red, visible and ultraviolet wavebands by samples. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB20/