http://lod.bco-dmo.org/id/dataset/717620
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
2017-10-24
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Blue mussel (Mytilus edulis) density data from surveys conducted in coastal eastern Maine from 2014 to 2017 (MuLTI-2 project)
2017-10-24
publication
2017-10-24
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2020-01-03
publication
https://doi.org/10.1575/1912/bco-dmo.717620.1
Philip O. Yund
Downeast Institute for Applied Marine Research and Education
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: Yund, P. (2017) Blue mussel (Mytilus edulis) density data from surveys conducted in coastal eastern Maine from 2014 to 2017 (MuLTI-2 project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2017-10-24 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.717620.1 [access date]
Blue mussel density Dataset Description: <p>This dataset includes data from blue mussels (Mytilus edulis) density surveys.&nbsp; Large mussel beds in coastal eastern Maine were sampled from&nbsp;2014 to 2017.&nbsp;</p> Methods and Sampling: <p><strong>Sampling and Analytical Methodology:&nbsp;&nbsp;</strong><br />
Density of blue mussels (Mytilus edulis) was randomly sampled at each of the major mussel beds (stations) along the eastern Maine coast from Frenchman Bay to the Canadian border. Sampling followed a nested design of 4 plots (30 cm x 30 cm) randomly distributed along a 6 meter transect, and three transects randomly spaced in a random subarea within the greater mussel bed. This process was repeated for at least three subareas per year per mussel bed. Where densities of mussels were too great, plots were subset into a 5 x 5 grid, and the average density of 3 randomly chosen grid sections measured, and the mean extrapolated to the entire area of the plot.</p>
<p>&nbsp;</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1333755 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1333755
completed
Philip O. Yund
Downeast Institute for Applied Marine Research and Education
207-712-6085
Downeast Institute for Applied Marine Research and Education 37 Wildflower Lane
Beals
ME
04611-0083
USA
pyund@downeastinstitute.org
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Year
Sample_Date
Sampling_Event
Station_Code
Bed_Designation
Substrate_Type
SubArea
Transect
Count
theme
None, User defined
year
event
station
site
site description
transect
count
featureType
BCO-DMO Standard Parameters
MuLTI-2_Mussel_Sampling
service
Deployment Activity
Coastal eastern Maine, from Frenchman Bay to the Canadian border
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.
An integrated theoretical and empirical approach to across-shelf mixing and connectivity of mussel populations
https://osprey.bco-dmo.org/project/527082
An integrated theoretical and empirical approach to across-shelf mixing and connectivity of mussel populations
<p>Acronym "MuLTI-2" (Mussel Larval Transport Initiative-2)</p>
<p>Extracted from the NSF award abstract:</p>
<p>Existing larval transport models focus mainly on along-shelf transport and have done little to explicitly incorporate the effects of cross-shelf mixing and transport processes. Yet cross-shelf transits (both outgoing and incoming legs) are critical components of the dispersal paths of coastal invertebrates. This project will explore the role of cross-shelf mixing in the connectivity of blue mussel populations in eastern Maine. Previous work has shown that the Eastern Maine Coastal Current (EMCC) begins to diverge from shore southwest of the Grand Manan Channel and creates a gradient in cross-shelf mixing and larval transport, with cross-shelf mixing being more common on the northeastern end, episodic in the transitional middle area, and then becoming rare in the southwestern half of the region of the Gulf of Maine. As a result, the investigators predict that northeastern populations of mussels are seeded mostly from up-stream sources, while a significant component of self-seeding (local retention) exists in southwestern populations. Larvae settling in the intervening bays are expected to be derived from a mixture of local and up-stream sources. Using a combined empirical and theoretical approach hydrographic, current profile, and larval vertical migration data will be collected and used to develop and validate a high-resolution coastal circulation model coupled to a model of larval behavior. The investigators will model simulations in different years using the empirical data from mussel reproductive output and spawning times. Connectivity predicted from this model will be then tested against independent empirical estimates of connectivity based on trace element fingerprinting for larvae which can be connected to specific natal habitats. Regions of agreement and discrepancy in the model will be identified to guide additional data collection and model refinement. This iterative process will ensure an understanding of both larval transport patterns and processes, and provide estimates of inter-annual variability in connectivity for blue mussel populations in the Gulf of Maine.</p>
MuLTI-2
largerWorkCitation
project
eng; USA
oceans
Coastal eastern Maine, from Frenchman Bay to the Canadian border
-68.3045225
-66.986325
44.4644175
44.825311
2014-06-14
2017-07-24
Gulf of Maine: Frenchmen Bay (44 28.239 N -68 15.927 W) to Machais Bay (44 39.350 N -67 21.320 W)
0
BCO-DMO catalogue of parameters from Blue mussel (Mytilus edulis) density data from surveys conducted in coastal eastern Maine from 2014 to 2017 (MuLTI-2 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
http://lod.bco-dmo.org/id/dataset-parameter/722187.rdf
Name: Year
Units: unitless
Description: <p>Year of sampling</p>
http://lod.bco-dmo.org/id/dataset-parameter/722188.rdf
Name: Sample_Date
Units: unitless
Description: <p>Date of sampling in format mm/dd/yy</p>
http://lod.bco-dmo.org/id/dataset-parameter/722189.rdf
Name: Sampling_Event
Units: unitless
Description: <p>Identifier of sampling event</p>
http://lod.bco-dmo.org/id/dataset-parameter/722190.rdf
Name: Station_Code
Units: unitless
Description: <p>Station identifier</p>
http://lod.bco-dmo.org/id/dataset-parameter/722191.rdf
Name: Bed_Designation
Units: unitless
Description: <p>Identifier of mussel bed</p>
http://lod.bco-dmo.org/id/dataset-parameter/722192.rdf
Name: Substrate_Type
Units: unitless
Description: <p>Substrate type description. Habitat of the bed section.</p>
http://lod.bco-dmo.org/id/dataset-parameter/722193.rdf
Name: SubArea
Units: unitless
Description: <p>Subarea number within mussel bed</p>
http://lod.bco-dmo.org/id/dataset-parameter/722194.rdf
Name: Transect
Units: unitless
Description: <p>Transect number within subarea</p>
http://lod.bco-dmo.org/id/dataset-parameter/722195.rdf
Name: Count
Units: unitless
Description: <p>The number of blue mussels (Mytilus edulis) within a plot (summed across size classes).</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
132894
https://darchive.mblwhoilibrary.org/bitstream/1912/25114/1/dataset-717620_density__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.717620.1
download
onLine
dataset
<p><strong>Sampling and Analytical Methodology:&nbsp;&nbsp;</strong><br />
Density of blue mussels (Mytilus edulis) was randomly sampled at each of the major mussel beds (stations) along the eastern Maine coast from Frenchman Bay to the Canadian border. Sampling followed a nested design of 4 plots (30 cm x 30 cm) randomly distributed along a 6 meter transect, and three transects randomly spaced in a random subarea within the greater mussel bed. This process was repeated for at least three subareas per year per mussel bed. Where densities of mussels were too great, plots were subset into a 5 x 5 grid, and the average density of 3 randomly chosen grid sections measured, and the mean extrapolated to the entire area of the plot.</p>
<p>&nbsp;</p>
Specified by the Principal Investigator(s)
<p>Data Manager Processing Notes:<br />
* spaces in data parameter names replaced with underscores due to system requirements.</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
Deployment: MuLTI-2_Mussel_Sampling
MuLTI-2_Mussel_Sampling
Maine_Coast
shoreside
MuLTI-2_Mussel_Sampling
Philip O. Yund
Downeast Institute for Applied Marine Research and Education
Maine_Coast
shoreside