http://lod.bco-dmo.org/id/dataset/782888
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
2019-11-26
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Growth rates under low and high temperatures for Emiliania huxleyi in constant and fluctuating thermal environments
2019-11-26
publication
2019-11-26
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2020-04-30
publication
https://doi.org/10.26008/1912/bco-dmo.782888.1
David A. Hutchins
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: Hutchins, D. (2020) Growth rates under low and high temperatures for Emiliania huxleyi in constant and fluctuating thermal environments. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-11-26 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.782888.1 [access date]
Ehux growth rates under thermal variation Dataset Description: <p>This dataset includes the growth rates under low and high temperatures for E. huxleyi in constant and fluctuating thermal environments. Global warming will be combined with predicted increases in thermal variability in the future surface ocean, but how temperature dynamics will affect phytoplankton biology and biogeochemistry is largely unknown. Here, we examine the responses of the globally important marine coccolithophore Emiliania huxleyi to thermal variations at two frequencies (1 d and 2 d) at low (18.5 °C) and high (25.5 °C) mean temperatures. Elevated temperature and thermal variation decreased growth, calcification and physiological rates, both individually and interactively. The 1 d thermal variation frequencies were less inhibitory than 2 d variations under high temperatures, indicating that high-frequency thermal fluctuations may reduce heat-induced mortality and mitigate some impacts of extreme high-temperature events. Cellular elemental composition and calcification was significantly affected by both thermal variation treatments relative to each other and to the constant temperature controls. The negative effects of thermal variation on E. huxleyi growth rate and physiology are especially pronounced at high temperatures. These responses of the key marine calcifier E. huxleyi to warmer, more variable temperature regimes have potentially large implications for ocean productivity and marine biogeochemical cycles under a future changing climate.</p>
<p>These data are published in Wang, X., Fu, F., Qu, P., Kling, J. D., Jiang, H., Gao, Y., &amp; Hutchins, D. A. (2019). How will the key marine calcifier Emiliania huxleyi respond to a warmer and more thermally variable ocean?. Biogeosciences, 16(22), 4393-4409. doi:10.5194/bg-2019-179.</p> Methods and Sampling: <p>Specific growth rates were calculated using change in fluorescence over time (verified using cell count data) and the equation μ=ln[N(T2)/N(T1)]/(T2-T1). Chlorophyll a, total particulate carbon (TPC), particulate organic carbon (POC),&nbsp; particulate organic nitrogen (PON), and particulate organic carbon (POP) were filtered onto GF/F filters and analyzed following the methodology used in Fu et al., 2007. Particulate inorganic carbon was defined as the difference between TPC and POC after POC filters had been subjected to concentrated HCl fumes for 24 hours to remove all inorganic carbon. Calcification, photosynthesis, and carbon fixation rates were all measured following the procedures outlined in Feng et al., 2008.</p>
<p>All data was processed using either R (v 3.4.4) or Microsoft Excel 2016.&nbsp;</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1538525 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1538525
completed
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
asNeeded
Dataset Version: 1
Unknown
Growth_Rate
Temperature
variation
Olympus BX51 microscope
theme
None, User defined
growth
water temperature
treatment
featureType
BCO-DMO Standard Parameters
Turner Designs Fluorometer 10-AU
Fluorescence Microscope
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://www.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
biota
oceans
2017-01-01
2017-10-31
laboratory experiment
0
BCO-DMO catalogue of parameters from Growth rates under low and high temperatures for Emiliania huxleyi in constant and fluctuating thermal environments
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/782950.rdf
Name: Growth_Rate
Units: per day
Description: E. huxleyi growth rate by cell counts
http://lod.bco-dmo.org/id/dataset-parameter/782951.rdf
Name: Temperature
Units: degrees Celsius
Description: treatment temperature
http://lod.bco-dmo.org/id/dataset-parameter/782952.rdf
Name: variation
Units: unitless
Description: temperature variation treatment description
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
1156
https://darchive.mblwhoilibrary.org/bitstream/1912/25718/1/dataset-782888_ehux-growth-rates-under-thermal-variation__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.782888.1
download
onLine
dataset
<p>Specific growth rates were calculated using change in fluorescence over time (verified using cell count data) and the equation μ=ln[N(T2)/N(T1)]/(T2-T1). Chlorophyll a, total particulate carbon (TPC), particulate organic carbon (POC),&nbsp; particulate organic nitrogen (PON), and particulate organic carbon (POP) were filtered onto GF/F filters and analyzed following the methodology used in Fu et al., 2007. Particulate inorganic carbon was defined as the difference between TPC and POC after POC filters had been subjected to concentrated HCl fumes for 24 hours to remove all inorganic carbon. Calcification, photosynthesis, and carbon fixation rates were all measured following the procedures outlined in Feng et al., 2008.</p>
<p>All data was processed using either R (v 3.4.4) or Microsoft Excel 2016.&nbsp;</p>
Specified by the Principal Investigator(s)
<p><strong>BCO-DMO Processing Notes:</strong><br />
- added conventional header with dataset name, PI name, version date<br />
- combined two Excel tables located on one sheet (growth rates)<br />
- changed param name 'Growth Rate (d-1)' to 'Growth_Rate'<br />
- reduced Growth_Rate precision from 14 to 4 decimal places</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
PI Supplied Instrument Name: 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/
Olympus BX51 microscope
Olympus BX51 microscope
PI Supplied Instrument Name: Olympus BX51 microscope PI Supplied Instrument Description:Used to count cell samples. Instrument Name: Fluorescence Microscope Instrument Short Name: Instrument Description: Instruments that generate enlarged images of samples using the phenomena of fluorescence and phosphorescence instead of, or in addition to, reflection and absorption of visible light. Includes conventional and inverted instruments. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB06/