http://lod.bco-dmo.org/id/dataset/851122
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
2021-04-29
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Wasting disease prevalence and severity and seagrass length and density based on subpopulations of Zostera marina on the North Shore of Massachusetts surveyed in July and September 2016
2021-05-04
publication
2021-05-04
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2022-02-03
publication
https://doi.org/10.26008/1912/bco-dmo.851122.1
A. Randall Hughes
Northeastern University
principalInvestigator
Forest Schenck
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., Schenck, F. (2022) Wasting disease prevalence and severity and seagrass length and density based on subpopulations of Zostera marina on the North Shore of Massachusetts surveyed in July and September 2016. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-05-04 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.851122.1 [access date]
Wasting Disease and Seagrass Field Experiment Dataset Description: Methods and Sampling: <p><em><strong>Wasting disease and&nbsp;</strong></em><strong>Zostera</strong><em><strong>&nbsp;morphology:</strong></em>&nbsp;We assessed wasting disease infection prevalence and severity in four&nbsp;<em>Zostera</em>&nbsp;subpopulations located at least 4 kilometers (km) apart along a 30 kilometer (km) stretch of coastline on the north shore of Massachusetts: Niles Beach, Gloucester (NB, 42° 35.8268’ N, 70° 39.3553’ W); West Beach, Beverly (WB, 42° 33.9155’ N, 70° 47.1102’ W); Lynch Park, Beverly (LP, 42° 32.6925’ N, 70° 51.5057’ W); and Curlew Beach, Nahant (CB, 42° 25.2378’ N, 70° 54.9474’ W). These subpopulations share similar depth profiles (ranging from 1-2 meter MLLW) and occur seaward of sandy beaches. We surveyed the CB subpopulation in July 2016 and the NB, WB, and LP subpopulations in September 2016. These dates fall within the time of year of peak disease prevalence reported for temperate&nbsp;<em>Zostera</em>&nbsp;meadows (Burdick et al., 1993; Bockelmann et al., 2013). Within 12 quadrats (0.0625 m2) at each subpopulation, we counted&nbsp;<em>Zostera</em>&nbsp;shoot density and haphazardly collected ten&nbsp;<em>Zostera</em>&nbsp;shoots. Quadrats were spaced 2 meters apart along a 25 meter transect running parallel to shore.</p>
<p>We stored shoots in coolers of seawater and scored the third youngest leaf of each shoot for the presence and percent cover of lesions characteristic of wasting disease within 6 hours of collection. We focused on this leaf because it has been shown to harbor the highest intensity of wasting disease (Bockelmann et al., 2013). We used published descriptions and photographs of lesions associated with wasting disease to guide our scoring (Burdick et al., 1993; Groner et al., 2014; Groner, Burge, et al., 2016). In addition, we measured the length of each shoot from the base of the stem (1st node) to the tip of the longest leaf.</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
Forest Schenck
Northeastern University
30 Emerson Avenue
Gloucester
MA
01930
USA
forest.schenck@mass.gov
pointOfContact
asNeeded
Dataset Version: 1
Unknown
subpopulation
latitude
longitude
quad
shoot_id
length
no_leaves
lesion_cover
focal_leaf_no
leaf_broken
density
theme
None, User defined
site
latitude
longitude
station
sample identification
length
number
surface_area
age
No BCO-DMO term
density
featureType
BCO-DMO Standard Parameters
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
oceans
-70.9158
-70.6559
42.4206
42.5971
2016-07-01
2016-09-30
Coastal New England
0
BCO-DMO catalogue of parameters from Wasting disease prevalence and severity and seagrass length and density based on subpopulations of Zostera marina on the North Shore of Massachusetts surveyed in July and September 2016
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/851225.rdf
Name: subpopulation
Units: Unitless
Description: <p>Descriptor of the subpopulation of Zostera marina plants</p>
http://lod.bco-dmo.org/id/dataset-parameter/851226.rdf
Name: latitude
Units: Decimal degrees
Description: <p>Latitude of Zostera subpopulation</p>
http://lod.bco-dmo.org/id/dataset-parameter/851227.rdf
Name: longitude
Units: Decimal degrees
Description: <p>Longitude of Zostera subpopulation</p>
http://lod.bco-dmo.org/id/dataset-parameter/851228.rdf
Name: quad
Units: Unitless
Description: <p>Unique numeric identifier assigned sampling locations within each Zostera marina subpopulation</p>
http://lod.bco-dmo.org/id/dataset-parameter/851229.rdf
Name: shoot_id
Units: Unitless
Description: <p>Unique alphabetic identifier assigned to shoots sampled within each sampling location</p>
http://lod.bco-dmo.org/id/dataset-parameter/851230.rdf
Name: length
Units: Centimeters
Description: <p>Length of Zostera marina shoot: measured from the first node to the tip of the longest leaf</p>
http://lod.bco-dmo.org/id/dataset-parameter/851231.rdf
Name: no_leaves
Units: Unitless
Description: <p>The number of leaves of Zostera marina shoot</p>
http://lod.bco-dmo.org/id/dataset-parameter/851232.rdf
Name: lesion_cover
Units: Unitless
Description: <p>Estimated percent of Zostera marina leaf area covered by lesions characteristic of wasting disease on each Zostera marina focal leaf from sheath top to leaf tip</p>
http://lod.bco-dmo.org/id/dataset-parameter/851233.rdf
Name: focal_leaf_no
Units: Unitless
Description: <p>Descriptor of the relative age of the focal Zostera marina leaf: 1 (the youngest leaf); relative leaf age increases as the value of the integer increases</p>
http://lod.bco-dmo.org/id/dataset-parameter/851234.rdf
Name: leaf_broken
Units: Unitless
Description: <p>Descriptor of the wholeness of the focal leaf: N (focal leaf completely intact); Y (section of focal leaf broken off)</p>
http://lod.bco-dmo.org/id/dataset-parameter/851235.rdf
Name: density
Units: Shoot per meter squared
Description: <p>The number of Zostera marina shoots per meters squared</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
20563
https://darchive.mblwhoilibrary.org/bitstream/1912/27975/1/dataset-851122_wasting-disease-and-seagrass-field-experiment__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.851122.1
download
onLine
dataset
<p><em><strong>Wasting disease and&nbsp;</strong></em><strong>Zostera</strong><em><strong>&nbsp;morphology:</strong></em>&nbsp;We assessed wasting disease infection prevalence and severity in four&nbsp;<em>Zostera</em>&nbsp;subpopulations located at least 4 kilometers (km) apart along a 30 kilometer (km) stretch of coastline on the north shore of Massachusetts: Niles Beach, Gloucester (NB, 42° 35.8268’ N, 70° 39.3553’ W); West Beach, Beverly (WB, 42° 33.9155’ N, 70° 47.1102’ W); Lynch Park, Beverly (LP, 42° 32.6925’ N, 70° 51.5057’ W); and Curlew Beach, Nahant (CB, 42° 25.2378’ N, 70° 54.9474’ W). These subpopulations share similar depth profiles (ranging from 1-2 meter MLLW) and occur seaward of sandy beaches. We surveyed the CB subpopulation in July 2016 and the NB, WB, and LP subpopulations in September 2016. These dates fall within the time of year of peak disease prevalence reported for temperate&nbsp;<em>Zostera</em>&nbsp;meadows (Burdick et al., 1993; Bockelmann et al., 2013). Within 12 quadrats (0.0625 m2) at each subpopulation, we counted&nbsp;<em>Zostera</em>&nbsp;shoot density and haphazardly collected ten&nbsp;<em>Zostera</em>&nbsp;shoots. Quadrats were spaced 2 meters apart along a 25 meter transect running parallel to shore.</p>
<p>We stored shoots in coolers of seawater and scored the third youngest leaf of each shoot for the presence and percent cover of lesions characteristic of wasting disease within 6 hours of collection. We focused on this leaf because it has been shown to harbor the highest intensity of wasting disease (Bockelmann et al., 2013). We used published descriptions and photographs of lesions associated with wasting disease to guide our scoring (Burdick et al., 1993; Groner et al., 2014; Groner, Burge, et al., 2016). In addition, we measured the length of each shoot from the base of the stem (1st node) to the tip of the longest leaf.</p>
Specified by the Principal Investigator(s)
<p><strong><em>Statistical Analyses:</em></strong> To examine differences in wasting disease prevalence among subpopulations, we summed the number of <em>Zostera</em> shoots collected per quadrat with and without wasting disease present on the third youngest leaf and used a binomial generalized linear model (GLM) with a logit link followed by Tukey HSD post hoc tests. We calculated quadrat-level wasting disease lesion severity as the mean lesion percent cover on the third leaf. We excluded leaves without lesions from the lesion severity calculation to avoid confounding these results with lesion prevalence. We used non-parametric Kruskal-Wallace tests to examine the effect of subpopulation on lesion severity and shoot density due to non-normality and Wilcoxon rank sum tests to differentiate among subpopulations. We calculated quadrat-level canopy height as the mean length of the ten shoots collected from each quadrat. We used one-way ANOVAs to examine differences in canopy height among subpopulations, followed by Tukey HSD post hoc tests to differentiate among subpopulations when relevant.</p>
<p>BCO-DMO processing description:<br />
- Adjusted field/parameter names to comply with BCO-DMO naming conventions<br />
- Missing data identifier ‘NA’ replaced with 'nd' (BCO-DMO's default missing data identifier)&nbsp;<br />
- Added a conventional header with dataset name, PI names, 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