http://lod.bco-dmo.org/id/dataset/753098
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
2019-01-17
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Olympia oyster larvae length measurements from depth-specific sampling collected by boat in Fidalgo Bay, WA, during 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.753098.1
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) Olympia oyster larvae length measurements from depth-specific sampling collected by boat in Fidalgo Bay, WA, during 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.753098.1 [access date]
Oyster_Larvae_Length_FidalgoBay_2017 Dataset Description: <p>This dataset includes Olympia oyster larvae length measurements from depth-specific sampling collected by boat in Fidalgo Bay, WA, during July 2017.</p> Methods and Sampling: <p>We measured larval abundance, chlorophyll-a, temperature, and salinity from four depths at one location in Fidalgo Bay, WA, by boat each day from July 11 to July 14, 2017. Each day, we completed eleven sampling events. During each sampling event, we collected samples from four depths in the water column: surface (0.5 m below surface), bottom (0.5 m above seafloor), and two mid-depth samples, which evenly split the depth between surface and bottom samples. We planned each sampling event to begin at specific times relative to the predicted low tide with the goal of collecting approximately equal numbers of samples during ebb and flood tide. To collect each larval sample, we used a modified bilge pump to filter 100 liters of water from our targeted depths through a 102-µm mesh plankton net to ensure retention of Olympia oyster larvae. Each sample was stored on ice while in the field and then preserved in 70% ethanol.</p>
<p>We used an Olympus Optical Company SZ-ST stereoscope fit with polarized lens filters to hand sort Olympia oyster larvae from each sample. First, we narrowed down all the potential local species of bivalve larvae that might be in our samples based on reproductive season (Loosanoff et al. 1966, personal communication Julie Barber). We then distinguished Olympia oyster larvae from these other species by comparing morphological features relative to size based on identification keys (Loosanoff et al. 1966, Shanks 2001) and reference Olympia oyster larvae that we reared in the laboratory. Reference larvae were fixed and photographed under an Olympus CH-2 microscope to aid identification.We measured larva shell lengths perpendicular to the hinge of each larva digitally using a stereomicroscope equipped with a camera and ImageJ software (Leica MC170 HD and Leica Application Suite, Leica, Wetzlar, Germany).</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
profile
tide
date_local
depth_seafloor_m
sample
depth_sample_m
depth_des
time_local
date_time_UTC
larvae_length_um
Leica MC170 HD camera
an Olympus Optical Company SZ-ST stereoscopeand a Leica stereomicroscope
theme
None, User defined
sample identification
tide
date_local
depth_w
depth
time_local
ISO_DateTime_UTC
length
featureType
BCO-DMO Standard Parameters
Camera
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
2017-07-11
2017-07-14
Coastal Pacific, USA
0
BCO-DMO catalogue of parameters from Olympia oyster larvae length measurements from depth-specific sampling collected by boat in Fidalgo Bay, WA, during 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/753113.rdf
Name: profile
Units: unitless
Description: <p>Each unique profile # represents four depth-specific samples: bottom; midlower; midupper; surface</p>
http://lod.bco-dmo.org/id/dataset-parameter/753114.rdf
Name: tide
Units: unitless
Description: <p>Tidal direction based on NOAA tidal predictions: ebb; flood; and low</p>
http://lod.bco-dmo.org/id/dataset-parameter/753115.rdf
Name: date_local
Units: unitless
Description: <p>Local date in US Pacific time; formatted as yyyy-mm-dd</p>
http://lod.bco-dmo.org/id/dataset-parameter/753116.rdf
Name: depth_seafloor_m
Units: meters
Description: <p>Depth from seasurface to seafloor at the time of sampling measured in meters</p>
http://lod.bco-dmo.org/id/dataset-parameter/753117.rdf
Name: sample
Units: unitless
Description: <p>Water column collection sample identifier</p>
http://lod.bco-dmo.org/id/dataset-parameter/753118.rdf
Name: depth_sample_m
Units: meters
Description: <p>Depth of the collected sample in meters below the seasurface</p>
http://lod.bco-dmo.org/id/dataset-parameter/753119.rdf
Name: depth_des
Units: unitless
Description: <p>Depth category of sample collection: surface = 0.5 m below sea surface; bottom = 0.5 m above seafloor; two mid-depth samples labeled midlower and midupper which evenly split the depth between surface and bottom samples. </p>
http://lod.bco-dmo.org/id/dataset-parameter/753120.rdf
Name: time_local
Units: unitless
Description: <p>Time in 24-hour US Pacific time; HH:MM</p>
http://lod.bco-dmo.org/id/dataset-parameter/753121.rdf
Name: date_time_UTC
Units: unitless
Description: <p>Date/Time (UTC) ISO formatted based on ISO 8601:2004(E) with format YYYY-mm-ddTHH:MM:SS[.xx]Z (year;month;day;hour;minute;second)</p>
http://lod.bco-dmo.org/id/dataset-parameter/753122.rdf
Name: larvae_length_um
Units: micrometers (um )
Description: <p>Length of Olympia oyster larva measured perpendicular to the hinge</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
737814
https://darchive.mblwhoilibrary.org/bitstream/1912/24622/1/dataset-753098_oysterlarvaelengthfidalgobay2017__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.753098.1
download
onLine
dataset
<p>We measured larval abundance, chlorophyll-a, temperature, and salinity from four depths at one location in Fidalgo Bay, WA, by boat each day from July 11 to July 14, 2017. Each day, we completed eleven sampling events. During each sampling event, we collected samples from four depths in the water column: surface (0.5 m below surface), bottom (0.5 m above seafloor), and two mid-depth samples, which evenly split the depth between surface and bottom samples. We planned each sampling event to begin at specific times relative to the predicted low tide with the goal of collecting approximately equal numbers of samples during ebb and flood tide. To collect each larval sample, we used a modified bilge pump to filter 100 liters of water from our targeted depths through a 102-µm mesh plankton net to ensure retention of Olympia oyster larvae. Each sample was stored on ice while in the field and then preserved in 70% ethanol.</p>
<p>We used an Olympus Optical Company SZ-ST stereoscope fit with polarized lens filters to hand sort Olympia oyster larvae from each sample. First, we narrowed down all the potential local species of bivalve larvae that might be in our samples based on reproductive season (Loosanoff et al. 1966, personal communication Julie Barber). We then distinguished Olympia oyster larvae from these other species by comparing morphological features relative to size based on identification keys (Loosanoff et al. 1966, Shanks 2001) and reference Olympia oyster larvae that we reared in the laboratory. Reference larvae were fixed and photographed under an Olympus CH-2 microscope to aid identification.We measured larva shell lengths perpendicular to the hinge of each larva digitally using a stereomicroscope equipped with a camera and ImageJ software (Leica MC170 HD and Leica Application Suite, Leica, Wetzlar, Germany).</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 />
- modified parameter names to conform with BCO-DMO naming conventions<br />
- reformatted and renamed date_time_UTC to ISO_DateTime_UTC<br />
- renamed mdy as date_local and time as time_local<br />
- reformatted date_local from m/d/yy to yyyy-mm-dd</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
Leica MC170 HD camera
Leica MC170 HD camera
PI Supplied Instrument Name: Leica MC170 HD camera Instrument Name: Camera Instrument Short Name:camera Instrument Description: All types of photographic equipment including stills, video, film and digital systems. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/311/
an Olympus Optical Company SZ-ST stereoscopeand a Leica stereomicroscope
an Olympus Optical Company SZ-ST stereoscopeand a Leica stereomicroscope
PI Supplied Instrument Name: an Olympus Optical Company SZ-ST stereoscopeand a Leica stereomicroscope 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/