http://lod.bco-dmo.org/id/dataset/847062
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)
Vegetative density data from two surveys of eelgrass flowering in shallow and deep zones at four different sites in Massachusetts, USA in 2019
2021-03-30
publication
2021-03-30
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2021-04-01
publication
https://doi.org/10.26008/1912/bco-dmo.847062.1
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) Vegetative density data from two surveys of eelgrass flowering in 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 2021-03-30 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.847062.1 [access date]
Permanent plot density vegetative density Dataset Description: Methods and Sampling: <p>We conducted two surveys of four different eelgrass beds in Massachusetts during the summer of 2019. 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 42.42009, W 70.91553), 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>The first survey of each site was conducted at the end of June/early July. In these surveys, we counted the number of both vegetative and flowering shoots in 5-7 0.25m^2 quadrats from each of three previously established permanent quadrats per depth per site. This gave us a total of 15-21 0.25m^2 quadrats per depth per site.</p>
<p>The second survey of each site was conducted in mid-August. Instead of doing the surveys from within the permanent quadrats, we did so outside of them to avoid overlap. We counted the number of vegetative and flowering shoots within 0.25 m^2 quadrats every 2 m along a 30 m transect (that would be extended for each quadrat that had no eelgrass). This led to there being 15-18 quadrats per depth per site.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1851043 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=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
Date
Month
Site
Depth
Permanent_Quadrat
Transect_Meter_Mark
Cattle_Tag
Vegetative_Density
Flowering_Density
Total_Density
theme
None, User defined
date
month of year
site
site description
sample identification
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.
RUI: Collaborative Research: Trait differentiation and local adaptation to depth within meadows of the foundation seagrass Zostera marina
https://www.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
2019-06-26
2019-08-16
Massachusetts, USA
0
BCO-DMO catalogue of parameters from Vegetative density data from two surveys of eelgrass flowering in 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/847073.rdf
Name: Date
Units: unitless
Description: The date of sample collection; format: YYYY-MM-DD
http://lod.bco-dmo.org/id/dataset-parameter/847074.rdf
Name: Month
Units: unitless
Description: The month of the survey (June or August) *one of the first surveys was conducted on July 1, but is counted as June.
http://lod.bco-dmo.org/id/dataset-parameter/847075.rdf
Name: Site
Units: unitless
Description: The site of collection. WB (West Beach, Beverly, MA), DC (Curlew Beach, Nahant, MA), NB (Niles Beach, Gloucester, MA), or LP (Lynch Park, Beverly, MA)
http://lod.bco-dmo.org/id/dataset-parameter/847076.rdf
Name: Depth
Units: unitless
Description: SH (shallow zone) or DP (deep zone)
http://lod.bco-dmo.org/id/dataset-parameter/847077.rdf
Name: Permanent_Quadrat
Units: unitless
Description: For the first surveys (June/July) the permanent quadrat that data came from (there are 3 permanent quadrats per depth per site)
http://lod.bco-dmo.org/id/dataset-parameter/847078.rdf
Name: Transect_Meter_Mark
Units: unitless
Description: For the second surveys (August), the corresponding transect meter mark that samples were taken from
http://lod.bco-dmo.org/id/dataset-parameter/847079.rdf
Name: Cattle_Tag
Units: unitless
Description: For the first round of sampling, the corresponding cattle tag number for each sample
http://lod.bco-dmo.org/id/dataset-parameter/847080.rdf
Name: Vegetative_Density
Units: number of shoots per quadrat
Description: The number of vegetative shoots in each quadrat
http://lod.bco-dmo.org/id/dataset-parameter/847081.rdf
Name: Flowering_Density
Units: number of shoots per quadrat
Description: The number of flowering shoots in each quadrat
http://lod.bco-dmo.org/id/dataset-parameter/847082.rdf
Name: Total_Density
Units: number of shoots per quadrat
Description: The number of vegetative AND flowering shoots found in each quadrat
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
10260
https://darchive.mblwhoilibrary.org/bitstream/1912/26898/1/dataset-847062_permanent-plot-vegetative-density__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.847062.1
download
onLine
dataset
<p>We conducted two surveys of four different eelgrass beds in Massachusetts during the summer of 2019. 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 42.42009, W 70.91553), 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>The first survey of each site was conducted at the end of June/early July. In these surveys, we counted the number of both vegetative and flowering shoots in 5-7 0.25m^2 quadrats from each of three previously established permanent quadrats per depth per site. This gave us a total of 15-21 0.25m^2 quadrats per depth per site.</p>
<p>The second survey of each site was conducted in mid-August. Instead of doing the surveys from within the permanent quadrats, we did so outside of them to avoid overlap. We counted the number of vegetative and flowering shoots within 0.25 m^2 quadrats every 2 m along a 30 m transect (that would be extended for each quadrat that had no eelgrass). This led to there being 15-18 quadrats per depth per site.</p>
Specified by the Principal Investigator(s)
<p>Data Processing:<br />
We analyzed the number of vegetative shoots per 0.25 m^2 quadrat using a generalized linear model (GLM) with a negative binomial regression and site, depth, and time (week) as fixed effects and including all possible interactions. We did the same for the density of flowering shoots and the density of all shoots (total density). We analyzed the proportion of flowering shoots (% flowering by density) using a GLM with a quasi binomial distribution and logit link function with site, depth, and time (week) as our fixed effects and including all possible interactions. For all of these analyses week was treated as a categorical factor.</p>
<p>Statistical analyses were conducted using R Statistical Software v. 3.6.0 (R Core Team 2019). Negative binomial regressions were 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 />
- changed date format to YYYY-MM-DD;<br />
- renamed fields to conform with BCO-DMO naming conventions;<br />
- replaced "NA" with "nd" to indicate "no data".</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