http://lod.bco-dmo.org/id/dataset/881536
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
2022-09-28
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Oyster density of restored reef edge/interior in Quonochontaug Pond, RI in May 2019
2022-11-02
publication
2022-11-02
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2022-11-02
publication
https://doi.org/10.26008/1912/bco-dmo.881536.1
A. Randall Hughes
Northeastern University
principalInvestigator
Theresa Davenport
Northeastern University
principalInvestigator
Jonathan Grabowski
Northeastern 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: Hughes, A. R., Davenport, T., Grabowski, J. (2022) Oyster density of restored reef edge/interior in Quonochontaug Pond, RI in May 2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-11-02 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.881536.1 [access date]
Oyster density on restored reefs Dataset Description: Methods and Sampling: <p>These data were published in Table S1 of Davenport et al., 2022 (Restoration Ecology).</p>
<p>To quantify the observed pattern of higher oyster density around the edges of reefs at Quonochontaug Pond, Rhode Island, USA, (41.3 N, 71.7 W) we surveyed oyster density and reef relief in May 2019. Divers haphazardly placed 0.25 m² quadrats on each oyster reef and excavated all live and recently dead oysters (N = 3-5 quadrats per reef on each of edge and interior). Live oysters were counted in the field before returning them to the reef in the same location where they were collected. Top valves were removed from recently dead oysters (open oysters with both valves present, but no live tissue) to confirm they were dead before replacing them. Divers also measured water depth with a meter stick at each quadrat, at the highest point on each reef, and at the unstructured bottom adjacent to each reef. Reef relief and quadrat relief were calculated by subtracting the water depth at each quadrat (quadrat relief) or the highest point on the reef (reef relief) from the water depth on the adjacent unstructured bottom.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1652320 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1652320
completed
A. Randall Hughes
Northeastern University
781-581-7370
430 Nahant Rd.
Nahant
MA
01908
USA
ann.hughes@northeastern.edu
pointOfContact
Theresa Davenport
Northeastern University
430 Nahant Rd.
Nahant
MA
01908
USA
tdavenport@agcenter.lsu.edu
pointOfContact
Jonathan Grabowski
Northeastern University
781-581-7370 x337
430 Nahant Rd.
Nahant
MA
01908
USA
j.grabowski@northeastern.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
block
reef
treat
date
quadrat
depth
oys_quad_dens
reef_relief
quad_rel
meter stick
SCUBA
theme
None, User defined
experiment id
site
treatment
date
depth
count
height
featureType
BCO-DMO Standard Parameters
ruler
Self-Contained Underwater Breathing Apparatus
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.
CAREER: Linking genetic diversity, population density, and disease prevalence in seagrass and oyster ecosystems
https://osprey.bco-dmo.org/project/709942
CAREER: Linking genetic diversity, population density, and disease prevalence in seagrass and oyster ecosystems
<p><em>NSF Award Abstract:</em><br />
Disease outbreaks in the ocean are increasing, causing losses of ecologically important marine species, but the factors contributing to these outbreaks are not well understood. This 5-year CAREER project will study disease prevalence and intensity in two marine foundation species - the seagrass Zostera marina and the Eastern oyster Crassostrea virginica. More specifically, host-disease relationships will be explored to understand how genetic diversity and population density of the host species impacts disease transmission and risk. This work will pair large-scale experimental restorations and smaller-scale field experiments to examine disease-host relationships across multiple spatial scales. Comparisons of patterns and mechanisms across the two coastal systems will provide an important first step towards identifying generalities in the diversity-density-disease relationship. To enhance the broader impacts and utility of this work, the experiments will be conducted in collaboration with restoration practitioners and guided by knowledge ascertained from key stakeholder groups. The project will support the development of an early career female researcher and multiple graduate and undergraduate students. Students will be trained in state-of-the-art molecular techniques to quantify oyster and seagrass parasites. Key findings from the surveys and experimental work will be incorporated into undergraduate courses focused on Conservation Biology, Marine Biology, and Disease Ecology. Finally, students in these courses will help develop social-ecological surveys and mutual learning games to stimulate knowledge transfer with stakeholders through a series of workshops.</p>
<p>The relationship between host genetic diversity and disease dynamics is complex. In some cases, known as a dilution effect, diversity reduces disease transmission and risk. However, the opposite relationship, known as the amplification effect, can also occur when diversity increases the risk of infection. Even if diversity directly reduces disease risk, simultaneous positive effects of diversity on host density could lead to amplification by increasing disease transmission between infected and uninfected individuals. Large-scale field restorations of seagrasses (Zostera marina) and oysters (Crassostrea virginica) will be utilized to test the effects of host genetic diversity on host population density and disease prevalence/intensity. Additional field experiments independently manipulating host genetic diversity and density will examine the mechanisms leading to dilution or amplification. Conducting similar manipulations in two marine foundation species - one a clonal plant and the other a non-clonal animal - will help identify commonalities in the diversity-density-disease relationship. Further, collaborations among project scientists, students, and stakeholders will enhance interdisciplinary training and help facilitate the exchange of information to improve management and restoration efforts. As part of these efforts, targeted surveys will be used to document the perceptions and attitudes of managers and restoration practitioners regarding genetic diversity and its role in ecological resilience and restoration.</p>
Seagrass and Oyster Ecosystems
largerWorkCitation
project
eng; USA
biota
oceans
-71.7
-71.7
41.3
41.3
2019-05-07
2019-05-09
Coastal New England
0
BCO-DMO catalogue of parameters from Oyster density of restored reef edge/interior in Quonochontaug Pond, RI in May 2019
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/881752.rdf
Name: block
Units: unitless
Description: <p>Numerical label for experimental block 1-3; corresponds to Figure 1 in Davenport et al. 2022 Restoration Ecology</p>
http://lod.bco-dmo.org/id/dataset-parameter/881753.rdf
Name: reef
Units: unitless
Description: <p>Alphabetical label for the reef on which trays with HOBO loggers were attached; corresponds to Figure 1 in Davenport et al. 2022 Restoration Ecology</p>
http://lod.bco-dmo.org/id/dataset-parameter/881754.rdf
Name: treat
Units: unitless
Description: <p>Experimental treatment including I (reef interior) and E (reef edge). Corresponds to Figure 1 in Davenport et al. 2022 Restoration Ecology</p>
http://lod.bco-dmo.org/id/dataset-parameter/881755.rdf
Name: date
Units: unitless
Description: <p>Date oyster density was sampled in format: YYYY-MM-DD</p>
http://lod.bco-dmo.org/id/dataset-parameter/881756.rdf
Name: quadrat
Units: unitless
Description: <p>Numerical label for quadrat selected for sampling. Quadrats were haphazardly placed and 3 quadrats each were selected from edge and interior from which to quantify oyster density at reef edge and interior</p>
http://lod.bco-dmo.org/id/dataset-parameter/881757.rdf
Name: depth
Units: centimeters (cm)
Description: <p>Depth of bottom measured in centimeters by divers at the time of sampling</p>
http://lod.bco-dmo.org/id/dataset-parameter/881758.rdf
Name: oys_quad_dens
Units: unitless
Description: <p>Live oyster density per 0.25 m2 quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/881759.rdf
Name: reef_relief
Units: centimeters (cm)
Description: <p>Reef height off the bottom as measured by divers</p>
http://lod.bco-dmo.org/id/dataset-parameter/881760.rdf
Name: quad_rel
Units: centimeters (cm)
Description: <p>Height of sampling quadrat off the bottom as measured by divers</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
1762
https://darchive.mblwhoilibrary.org/bitstream/1912/29456/1/dataset-881536_oyster-density-restored-reefs__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.881536.1
download
onLine
dataset
<p>These data were published in Table S1 of Davenport et al., 2022 (Restoration Ecology).</p>
<p>To quantify the observed pattern of higher oyster density around the edges of reefs at Quonochontaug Pond, Rhode Island, USA, (41.3 N, 71.7 W) we surveyed oyster density and reef relief in May 2019. Divers haphazardly placed 0.25 m² quadrats on each oyster reef and excavated all live and recently dead oysters (N = 3-5 quadrats per reef on each of edge and interior). Live oysters were counted in the field before returning them to the reef in the same location where they were collected. Top valves were removed from recently dead oysters (open oysters with both valves present, but no live tissue) to confirm they were dead before replacing them. Divers also measured water depth with a meter stick at each quadrat, at the highest point on each reef, and at the unstructured bottom adjacent to each reef. Reef relief and quadrat relief were calculated by subtracting the water depth at each quadrat (quadrat relief) or the highest point on the reef (reef relief) from the water depth on the adjacent unstructured bottom.</p>
Specified by the Principal Investigator(s)
<p><strong>BCO-DMO Processing:</strong><br />
- Converted dates to YYYY-MM-DD format;<br />
- Adjusted field/parameter names to comply with BCO-DMO naming conventions;<br />
- Added a conventional header with dataset name, PI names, and version date;<br />
- Values in the column "quad_rel" were converted from meters to centimeters (as integers) as requested by data provider.</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
meter stick
meter stick
PI Supplied Instrument Name: meter stick PI Supplied Instrument Description:A meter stick was used to measure water depth. Instrument Name: ruler Instrument Short Name: Instrument Description: A device used for measuring or for drawing straight lines, consisting of an elongated piece of rigid or semi-rigid material marked with units for measurement. Device that allows one or more physical dimensions of a sample or specimen to be determined by visible comparison against marked graduations in units of measurement of dimension length.
SCUBA
SCUBA
PI Supplied Instrument Name: SCUBA Instrument Name: Self-Contained Underwater Breathing Apparatus Instrument Short Name:SCUBA Instrument Description: The self-contained underwater breathing apparatus or scuba diving system is the result of technological developments and innovations that began almost 300 years ago. Scuba diving is the most extensively used system for breathing underwater by recreational divers throughout the world and in various forms is also widely used to perform underwater work for military, scientific, and commercial purposes.
Reference: https://oceanexplorer.noaa.gov/technology/technical/technical.html