http://lod.bco-dmo.org/id/dataset/847088
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
2021-03-30
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Seed counts from a survey of the shallow and deep zones at four different sites in Massachusetts, USA in 2019
2021-03-31
publication
2021-03-31
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2021-04-01
publication
https://doi.org/10.26008/1912/bco-dmo.847088.1
A. Randall Hughes
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. (2021) Seed counts from a survey of the shallow and deep zones at four different sites in Massachusetts, USA in 2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-03-31 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.847088.1 [access date]
Permanent plot seed counts Dataset Description: Methods and Sampling: <p>We conducted surveys of four different eelgrass beds in Massachusetts in mid-August of 2019.&nbsp;The four sites were West Beach in Beverly (N 42.55921, W 70.80578), Curlew Beach in Nahant (N 42.42009, W 70.91553), Lynch Park in Beverly (N 42.54488, W 70.85842), and Niles Beach in Gloucester (N 42.59711, W 70.65592). Surveys were done in both the shallow and deep zone. These zones were defined as being along the respective edges of the eelgrass beds. The exact depths of the zones varied from bed to bed.</p>
<p>During the surveys, we collected flowering shoots from within 0.0625 m^2 quadrats every 2 m along a 30 m transect (that would be extended for each quadrat that had no eelgrass). Any flowering shoots found within the quadrats were taken and their seeds counted. This led to there being up to 25 flowering shoots per depth per site.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1851043 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1851043
completed
A. Randall Hughes
Northeastern University
781-581-7370
430 Nahant Rd.
Nahant
MA
01908
USA
ann.hughes@northeastern.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Site
ID
Depth
Seed_Count
theme
None, User defined
site
sample identification
site description
count
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.
RUI: Collaborative Research: Trait differentiation and local adaptation to depth within meadows of the foundation seagrass Zostera marina
https://osprey.bco-dmo.org/project/792405
RUI: Collaborative Research: Trait differentiation and local adaptation to depth within meadows of the foundation seagrass Zostera marina
<p><em>NSF Award Abstract:</em><br />
Understanding how species cope with spatial variation in their environment (e.g. gradients in light and temperature) is necessary for informed management as well as for predicting how they may respond to change. This project will examine how key traits vary with depth in common eelgrass (Zostera marina), one of the most important foundation species in temperate nearshore ecosystems worldwide. The investigators will use a combination of experiments in the field and lab, paired with fine-scale molecular analyses, to determine the genetic and environmental components of seagrass trait variation. This work will provide important information on the microevolutionary mechanisms that allow a foundation species to persist in a variable environment, and thus to drive the ecological function of whole nearshore communities. The Northeastern University graduate and Keene State College (KSC) undergraduate students supported by this project will receive training in state-of-the-art molecular techniques, as well as mentorship and experience in scientific communication and outreach. A significant portion of KSC students are from groups under-represented in science. Key findings of the research will be incorporated into undergraduate courses and outreach programs for high school students from under-represented groups, and presented at local and national meetings of scientists and stakeholders.</p>
<p>Local adaptation, the superior performance of "home" versus "foreign" genotypes in a local environment, is a powerful demonstration of how natural selection can overcome gene flow and drift to shape phenotypes to match their environment. The classic test for local adaptation is a reciprocal transplant. However, such experiments often fail to capture critical aspects of the immigration process that may mediate realized gene flow in natural systems. For example, reciprocal transplant experiments typically test local and non-local phenotypes at the same (often adult) life history stage, and at the same abundance or density, which does not mirror how dispersal actually occurs for most species. In real populations, migrants (non-local) often arrive at low numbers compared to residents (local), and relative frequency itself can impact fitness. In particular, rare phenotypes may experience reduced competition for resources, or relative release from specialized pathogens. Such negative frequency dependent selection can reduce fitness differences between migrants and residents due to local adaptation, and magnify effective gene flow, thus maintaining greater within-population genetic diversity. The investigators will combine spatially paired sampling and fine-scale molecular analyses to link seed/seedling trait variation across the depth gradient at six meadows to key factors that may drive these patterns: local environmental conditions, population demography, and gene flow across depths. The team will then experimentally test the outcome of cross-gradient dispersal in an ecologically relevant context, by reciprocally out-planting seeds from different depths and manipulating relative frequency in relation to both adults and other seedling lineages. The possible interaction between local adaptation and frequency-dependence is particularly relevant for Zostera marina, which represents one of the best documented examples of the ecological effects of genetic diversity and identity. Further, a better understanding of seagrass trait differentiation is not simply a matter of academic interest, but critical to successful seagrass restoration and conservation.</p>
<p>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</p>
ZosMarLA
largerWorkCitation
project
eng; USA
oceans
-70.9155
-70.65592
42.42009
42.59711
2019-08-01
2019-08-31
Massachusetts, USA
0
BCO-DMO catalogue of parameters from Seed counts from a survey of the shallow and deep zones at four different sites in Massachusetts, USA in 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/847097.rdf
Name: Site
Units: unitless
Description: <p>The location of sample collection. DC (Curlew Beach), WB (West Beach), NB (Niles Beach), or LP (Lynch Park).</p>
http://lod.bco-dmo.org/id/dataset-parameter/847098.rdf
Name: ID
Units: unitless
Description: <p>A unique identification number given to each flowering shoot for which seeds were counted.</p>
http://lod.bco-dmo.org/id/dataset-parameter/847099.rdf
Name: Depth
Units: unitless
Description: <p>SH (shallow zone) or DP (deep zone).</p>
http://lod.bco-dmo.org/id/dataset-parameter/847100.rdf
Name: Seed_Count
Units: Number of seeds per flowering shoot
Description: <p>The number of mature seeds per flowering shoot.</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
2510
https://darchive.mblwhoilibrary.org/bitstream/1912/26897/1/dataset-847088_permanent-plot-seed-counts__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.847088.1
download
onLine
dataset
<p>We conducted surveys of four different eelgrass beds in Massachusetts in mid-August of 2019.&nbsp;The four sites were West Beach in Beverly (N 42.55921, W 70.80578), Curlew Beach in Nahant (N 42.42009, W 70.91553), Lynch Park in Beverly (N 42.54488, W 70.85842), and Niles Beach in Gloucester (N 42.59711, W 70.65592). Surveys were done in both the shallow and deep zone. These zones were defined as being along the respective edges of the eelgrass beds. The exact depths of the zones varied from bed to bed.</p>
<p>During the surveys, we collected flowering shoots from within 0.0625 m^2 quadrats every 2 m along a 30 m transect (that would be extended for each quadrat that had no eelgrass). Any flowering shoots found within the quadrats were taken and their seeds counted. This led to there being up to 25 flowering shoots per depth per site.</p>
Specified by the Principal Investigator(s)
<p>Data Processing:<br />
We analyzed the number of seeds per flowering shoot at all four sites using a GLM with a negative binomial regression and independent and interactive effects of depth and site.</p>
<p>Statistical analyses were conducted using R Statistical Software v. 3.6.0 (R Core Team 2019). Negative binomial regression was done using the glm.nb function in the MASS package (Venables and Ripley 2002). We used a significance level of α = 0.05 for all of our analyses.</p>
<p>BCO-DMO Processing:<br />
- renamed fields to conform with BCO-DMO naming conventions.</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