http://lod.bco-dmo.org/id/dataset/752902
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)
Water quality data and Olympia oyster abundance counts 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)
2019-07-01
publication
https://doi.org/10.1575/1912/bco-dmo.752902.1
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) Water quality data and Olympia oyster abundance counts 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.752902.1 [access date]
ADCP FidalgoBay, July 2017 Dataset Description: <p>This dataset reports&nbsp;water quality data and Olympia oyster abundance counts from depth-specific sampling collected by boat in Fidalgo Bay, WA, during July 2017.&nbsp;These data were published in the following Masters Thesis: McIntyre, Brooke A., "Vertical Distribution of Olympia oyster (Ostrea lurida) larvae in Fidalgo Bay, WA" (2018). WWU Graduate School Collection. 694.&nbsp;https://cedar.wwu.edu/wwuet/694</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.</p>
<p>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. At the end of filtering each 100-L sample, we collected 60-ml of bulk seawater from the pump for measurement of chlorophyll-a. We filtered the 60-ml of seawater through a glass microfiber filter (WhatmanTM GF/F). The foil-wrapped filters were held on ice in the field and then stored them at -80°C for later extraction. We measured chlorophyll-a concentration from each filtered sample by extracting the chlorophyll-a pigment using 90% acetone for 24 hours in the dark at -20°C and then reading fluorescence of each sample with a Turner Trilogy Fluorometer (Parsons et al. 1984; Welschmeyer 1994). We also programmed a Hach Environmental Company HydroLab DS5 water quality multiprobe instrument to collect temperature and salinity measurements at the same times and depths as our pump sampling. A Hach Hydras 3 Pocket instrument enabled us to calibrate, program, and retrieve data from the HydroLab.</p>
<p>This dataset includes unprocessed data and simple data calculations accomplished with R (Version 3.3.2).</p>
<p>We programmed a Nortek 1MHz Aquadopp acoustic Doppler current profiler (ADCP) to record velocity measurements in 0.3 meter vertical bins every 60 seconds. We then attached the ADCP instrument with sensors facing skyward to steel cross-bar frame and deployed it on the seafloor in Fidalgo Bay’s main channel for four days. We utilized Nortek AS software AquaPro version 1.27 to program and retrieve current velocity data from the Aquadopp instrument. This dataset includes these raw unprocessed data.</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
ISO_DateTime_UTC
date_local
time_local
tide_category
profile
depth_seafloor_m
depth_sample_m
depth_cat
current_velocity_m_s
chla_ug_L
temp_c
salinity
wind_anemometer_m_s
oyster_larvae_100L
oyster_larvae_m3
hand-held anemometer
Turner Trilogy Fluorometer model number 7200-000
HydroLab DS5 (Hach Environmental Co.)
theme
None, User defined
ISO_DateTime_UTC
date_local
time_local
tide
sample identification
depth_w
depth
Absolute current speed
chlorophyll a
water temperature at measurement depth
salinity
wind_speed
count
abundance
featureType
BCO-DMO Standard Parameters
Anemometer
Fluorometer
Water Quality Multiprobe
instrument
BCO-DMO Standard Instruments
FidalgoBay_2017
service
Deployment Activity
Fidalgo Bay, WA
place
Locations
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
oceans
Fidalgo Bay, WA
-122.58
-122.58
48.4823
48.4823
2017-07-11
2017-07-14
Coastal Pacific, USA
0
BCO-DMO catalogue of parameters from Water quality data and Olympia oyster abundance counts 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/752915.rdf
Name: ISO_DateTime_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/752916.rdf
Name: date_local
Units: unitless
Description: <p>Calendar month/ day/ and year in US Pacific time; formatted as yyyy-mm-dd</p>
http://lod.bco-dmo.org/id/dataset-parameter/752917.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/752918.rdf
Name: tide_category
Units: unitless
Description: <p>Tidal direction based on NOAA tidal predictions</p>
http://lod.bco-dmo.org/id/dataset-parameter/752919.rdf
Name: profile
Units: unitless
Description: <p>Each unique profile # represents four depth-specific samples</p>
http://lod.bco-dmo.org/id/dataset-parameter/752920.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/752921.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/752922.rdf
Name: depth_cat
Units: unitless
Description: <p>Depth category of sample collection: (s): surface (0.5 m below seasurface); bottom (0.5 m above seafloor); and 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/752923.rdf
Name: current_velocity_m_s
Units: meters per second
Description: <p>Estimated current velocity given in meters per second from data collected with an ADCP. Negative values indicate current moving in the offshore direction and positive values indicate current moving inshore.</p>
http://lod.bco-dmo.org/id/dataset-parameter/752924.rdf
Name: chla_ug_L
Units: micrograms per liter seawater
Description: <p>Concentration of chlorophyll-a measured from filtered whole water samples.</p>
http://lod.bco-dmo.org/id/dataset-parameter/752925.rdf
Name: temp_c
Units: degrees Celcius
Description: <p>Temperature measured with a Hydrolab instrument.</p>
http://lod.bco-dmo.org/id/dataset-parameter/752926.rdf
Name: salinity
Units: PSU
Description: <p>Salinity measured with a Hydrolab instrument.</p>
http://lod.bco-dmo.org/id/dataset-parameter/752927.rdf
Name: wind_anemometer_m_s
Units: meters per second
Description: <p>Wind measured with a handheld anemometer.</p>
http://lod.bco-dmo.org/id/dataset-parameter/752928.rdf
Name: oyster_larvae_100L
Units: larvae per 100-Liters seawater
Description: <p>Counted number of Olympia oyster larvae in the 100-Liter collected seawater</p>
http://lod.bco-dmo.org/id/dataset-parameter/752929.rdf
Name: oyster_larvae_m3
Units: larvae per cubic meter
Description: <p>Calculated number of Olympia oyster larvae</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
17082
https://darchive.mblwhoilibrary.org/bitstream/1912/24297/1/dataset-752902_fielddatafidalgobayjuly2017__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.752902.1
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.</p>
<p>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. At the end of filtering each 100-L sample, we collected 60-ml of bulk seawater from the pump for measurement of chlorophyll-a. We filtered the 60-ml of seawater through a glass microfiber filter (WhatmanTM GF/F). The foil-wrapped filters were held on ice in the field and then stored them at -80°C for later extraction. We measured chlorophyll-a concentration from each filtered sample by extracting the chlorophyll-a pigment using 90% acetone for 24 hours in the dark at -20°C and then reading fluorescence of each sample with a Turner Trilogy Fluorometer (Parsons et al. 1984; Welschmeyer 1994). We also programmed a Hach Environmental Company HydroLab DS5 water quality multiprobe instrument to collect temperature and salinity measurements at the same times and depths as our pump sampling. A Hach Hydras 3 Pocket instrument enabled us to calibrate, program, and retrieve data from the HydroLab.</p>
<p>This dataset includes unprocessed data and simple data calculations accomplished with R (Version 3.3.2).</p>
<p>We programmed a Nortek 1MHz Aquadopp acoustic Doppler current profiler (ADCP) to record velocity measurements in 0.3 meter vertical bins every 60 seconds. We then attached the ADCP instrument with sensors facing skyward to steel cross-bar frame and deployed it on the seafloor in Fidalgo Bay’s main channel for four days. We utilized Nortek AS software AquaPro version 1.27 to program and retrieve current velocity data from the Aquadopp instrument. This dataset includes these raw unprocessed data.</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 />
- removed from display columns MDY and time<br />
- reduced precision of current_velocity_m_s, chla_ug_L, temp_c, and salinity from 9 to 2 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
hand-held anemometer
hand-held anemometer
PI Supplied Instrument Name: hand-held anemometer PI Supplied Instrument Description:Used to measure wind speed. Instrument Name: Anemometer Instrument Short Name:Anemometer Instrument Description: An anemometer is a device for measuring the velocity or the pressure of the wind. It is commonly used to measure wind speed. Aboard research vessels, it is often mounted with other meteorological instruments and sensors. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/101/
Turner Trilogy Fluorometer model number 7200-000
Turner Trilogy Fluorometer model number 7200-000
PI Supplied Instrument Name: Turner Trilogy Fluorometer model number 7200-000 PI Supplied Instrument Description:Used to measure fluorescence for the chlorophyll-a samples. Instrument Name: Fluorometer Instrument Short Name:Fluorometer Instrument Description: A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/113/
HydroLab DS5 (Hach Environmental Co.)
HydroLab DS5 (Hach Environmental Co.)
PI Supplied Instrument Name: HydroLab DS5 (Hach Environmental Co.) PI Supplied Instrument Description:A Hach Environmental Company HydroLab DS5 water quality multiprobe is designed for in-situ measurements. We used the Hach Temperature and Hach Conductivity sensors to measure temperature (°C) and salinity. The Hach Temperature sensor is factory set and did not require re-calibration. We performed a two-point calibration on the Hach Conductivity sensor using YSI conductivity calibrator solution before each days use. Instrument Name: Water Quality Multiprobe Instrument Short Name:Water Quality Multiprobe Instrument Description: An instrument which measures multiple water quality parameters based on the sensor configuration.
Cruise: FidalgoBay_2017
FidalgoBay_2017
small boat: WWU
vessel
small boat: WWU
vessel