http://lod.bco-dmo.org/id/dataset/753017
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
2019-01-16
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Experimental grazing rates of sand dollar larvae (Dendraster excentricus) on algae (Dunaliella tertiolecta) under different ocean acidification conditions, July 2017
2019-01-14
publication
2019-01-14
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-09-25
publication
https://doi.org/10.1575/1912/bco-dmo.753017.1
Shawn M. Arellano
Western Washington University
principalInvestigator
M. Brady Olson
Western Washington University
principalInvestigator
Sylvia Yang
Western Washington 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: Arellano, S., Olson, B., Yang, S. (2019) Experimental grazing rates of sand dollar larvae (Dendraster excentricus) on algae (Dunaliella tertiolecta) under different ocean acidification conditions, July 2017. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-01-14 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.753017.1 [access date]
Dendraster_Grazing_OA_Expt2017 Dataset Description: <p>Experimental grazing rates of sand dollar larvae (<em>Dendraster excentricus</em>) on algae (<em>Dunaliella tertiolecta) </em>under different ocean acidification conditions, July 2017.</p> Methods and Sampling: <p>Spawning and fertilization</p>
<p>We collected adult sand dollars (D. excentricus) from Semiahmoo Bay, WA, on July 7, 2017 and maintained them in 14°C continuous flowing seawater at the Shannon Point Marine Center. On July 12, 2017 we induced twelve individuals to spawn by injecting 1-mL of 0.5-M KCl into the coelom following methods outlined by Strathmann (1987).&nbsp; We then collected and mixed concentrated gametes of four males and four females for fertilization. We added five drops of sperm to 500-mL of filtered seawater and 5-mL of eggs. We placed the fertilized eggs in 12°C incubator and bubbled them with ambient pCO2 condition for 12-hrs before dividing the embryos into pCO2 treatment conditions before gastrulation. We then counted and transferred the larvae into jars with 1.5 L of nanopore filtered seawater at densities of 1-2 individuals mL-1.</p>
<p>Grazing experiment</p>
<p>To assess the interactive effects of temperature and pCO2 on Dunaliella excentricus feeding behavior, our experimental design had six treatments with four experimental jars (replicates) in each. The treatments combined three levels of CO2: 400 ppmv (ambient atmospheric level), 800 ppmv (moderate atmoshpheric level) and 1,500 ppmv (high atmospheric level), and two temperatures: 12°C (ambient temperature) and 17°C (high temperature). We fed Dunaliella tertiolecta at approximately 6,000 cells ml-1 to six-arm stage larvae to evaluate feeding rates at each treatment condition.</p>
<p>For each replicate, a corresponding 150-mL control bottle containing only D. tertiolecta was also prepared. Feeding rate was estimated as ingestion rate by measuring the algal concentration (cells ml-1) at the beginning (T0) and after 24 hours (Tf) in control bottles and experimental jars using a Sedgewick Rafter Chamber (Stumpp et al., 2011). Ingestion rate (cells ind-1 hr-1) was calculated as I = (Clearance rate) x (time-average algae concentration).</p>
<p>This dataset includes unprocessed data and simple data calculations accomplished with Excel.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1538626 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1538626
completed
Shawn M. Arellano
Western Washington University
360-650-3634
Western Washington University 1900 Shannon Point Road
Anacortes
WA
98221
USA
arellas@wwu.edu
pointOfContact
M. Brady Olson
Western Washington University
(360) 650-7400
1900 Shannon Point Rd.
Anacortes
WA
98221
United States
Brady.Olson@wwu.edu
pointOfContact
Sylvia Yang
Western Washington University
360-598-4460
SEA Discovery Center P.O. Box 2318
Poulsbo
WA
98370
Sylvia.yang@wwu.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
temp_c
pH
jar_type
replicate
count
cells
squares
cell_concentration
theme
None, User defined
water temperature at measurement depth
pH
treatment
replicate
count
number of replicates
cell_concentration
featureType
BCO-DMO Standard Parameters
Microscope - Optical
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.
RUI: Will climate change cause 'lazy larvae'? Effects of climate stressors on larval behavior and dispersal
https://osprey.bco-dmo.org/project/684167
RUI: Will climate change cause 'lazy larvae'? Effects of climate stressors on larval behavior and dispersal
<p>In the face of climate change, future distribution of animals will depend not only on whether they adjust to new conditions in their current habitat, but also on whether a species can spread to suitable locations in a changing habitat landscape. In the ocean, where most species have tiny drifting larval stages, dispersal between habitats is impacted by more than just ocean currents alone; the swimming behavior of larvae, the flow environment the larvae encounter, and the length of time the larvae spend in the water column all interact to impact the distance and direction of larval dispersal. The effects of climate change, especially ocean acidification, are already evident in shellfish species along the Pacific coast, where hatchery managers have noticed shellfish cultures with 'lazy larvae syndrome.' Under conditions of increased acidification, these 'lazy larvae' simply stop swimming; yet, larval swimming behavior is rarely incorporated into studies of ocean acidification. Furthermore, how ocean warming interacts with the effects of acidification on larvae and their swimming behaviors remains unexplored; indeed, warming could reverse 'lazy larvae syndrome.' This project uses a combination of manipulative laboratory experiments, computer modeling, and a real case study to examine whether the impacts of ocean warming and acidification on individual larvae may affect the distribution and restoration of populations of native oysters in the Salish Sea. The project will tightly couple research with undergraduate education at Western Washington University, a primarily undergraduate university, by employing student researchers, incorporating materials into undergraduate courses, and pairing marine science student interns with art student interns to develop art projects aimed at communicating the effects of climate change to public audiences</p>
<p>As studies of the effects of climate stress in the marine environment progress, impacts on individual-level performance must be placed in a larger ecological context. While future climate-induced circulation changes certainly will affect larval dispersal, the effects of climate-change stressors on individual larval traits alone may have equally important impacts, significantly altering larval transport and, ultimately, species distribution. This study will experimentally examine the relationship between combined climate stressors (warming and acidification) on planktonic larval duration, morphology, and swimming behavior; create models to generate testable hypotheses about the effects of these factors on larval dispersal that can be applied across systems; and, finally, use a bio-physically coupled larval transport model to examine whether climate-impacted larvae may affect the distribution and restoration of populations of native oysters in the Salish Sea.</p>
Climate stressors on larvae
largerWorkCitation
project
eng; USA
biota
oceans
2017-07-07
2017-07-31
Coastal Pacific, USA
0
BCO-DMO catalogue of parameters from Experimental grazing rates of sand dollar larvae (Dendraster excentricus) on algae (Dunaliella tertiolecta) under different ocean acidification conditions, July 2017
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/753027.rdf
Name: temp_c
Units: degrees Celcius
Description: <p>Temperature treatment</p>
http://lod.bco-dmo.org/id/dataset-parameter/753028.rdf
Name: pH
Units: unitless
Description: <p>pCO2 treatment: low = 400ppm; medium = 800ppm; high = 1500ppm</p>
http://lod.bco-dmo.org/id/dataset-parameter/753029.rdf
Name: jar_type
Units: unitless
Description: <p>Type of treatment jar; a jar containing larval and algae or a control jar containing just algae</p>
http://lod.bco-dmo.org/id/dataset-parameter/753030.rdf
Name: replicate
Units: unitless
Description: <p>Replicate number of each treatment combination including temperature; pH; and jar type</p>
http://lod.bco-dmo.org/id/dataset-parameter/753031.rdf
Name: count
Units: unitless
Description: <p>The initial or final algae count to calculate algal cell concentration for the experiment</p>
http://lod.bco-dmo.org/id/dataset-parameter/753032.rdf
Name: cells
Units: algae cells
Description: <p>Algae cell count using a Sedgewick-Rafter counting chamber</p>
http://lod.bco-dmo.org/id/dataset-parameter/753033.rdf
Name: squares
Units: squares
Description: <p>Number of squares counted within the Sedgewick-Rafter</p>
http://lod.bco-dmo.org/id/dataset-parameter/753034.rdf
Name: cell_concentration
Units: algae cells per milliliter (#/mL)
Description: <p>Calculated concentration of algae cells within treatment jar from Sedgewick-Rafter counts. Cell concentration = (cells/squares)*1000</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
3979
https://darchive.mblwhoilibrary.org/bitstream/1912/24619/1/dataset-753017_dendrastergrazingoaexpt2017__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.753017.1
download
onLine
dataset
<p>Spawning and fertilization</p>
<p>We collected adult sand dollars (D. excentricus) from Semiahmoo Bay, WA, on July 7, 2017 and maintained them in 14°C continuous flowing seawater at the Shannon Point Marine Center. On July 12, 2017 we induced twelve individuals to spawn by injecting 1-mL of 0.5-M KCl into the coelom following methods outlined by Strathmann (1987).&nbsp; We then collected and mixed concentrated gametes of four males and four females for fertilization. We added five drops of sperm to 500-mL of filtered seawater and 5-mL of eggs. We placed the fertilized eggs in 12°C incubator and bubbled them with ambient pCO2 condition for 12-hrs before dividing the embryos into pCO2 treatment conditions before gastrulation. We then counted and transferred the larvae into jars with 1.5 L of nanopore filtered seawater at densities of 1-2 individuals mL-1.</p>
<p>Grazing experiment</p>
<p>To assess the interactive effects of temperature and pCO2 on Dunaliella excentricus feeding behavior, our experimental design had six treatments with four experimental jars (replicates) in each. The treatments combined three levels of CO2: 400 ppmv (ambient atmospheric level), 800 ppmv (moderate atmoshpheric level) and 1,500 ppmv (high atmospheric level), and two temperatures: 12°C (ambient temperature) and 17°C (high temperature). We fed Dunaliella tertiolecta at approximately 6,000 cells ml-1 to six-arm stage larvae to evaluate feeding rates at each treatment condition.</p>
<p>For each replicate, a corresponding 150-mL control bottle containing only D. tertiolecta was also prepared. Feeding rate was estimated as ingestion rate by measuring the algal concentration (cells ml-1) at the beginning (T0) and after 24 hours (Tf) in control bottles and experimental jars using a Sedgewick Rafter Chamber (Stumpp et al., 2011). Ingestion rate (cells ind-1 hr-1) was calculated as I = (Clearance rate) x (time-average algae concentration).</p>
<p>This dataset includes unprocessed data and simple data calculations accomplished with Excel.</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</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: PI Supplied Instrument Description:Used to count cells. 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/