http://lod.bco-dmo.org/id/dataset/683132
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
2017-02-27
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Semibalanus balanoides recruitment surveys in southwest England, Wales, and Scotland from 2015-2016 (EUROWINTER2 project)
2017-02-27
publication
2017-02-27
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2021-02-18
publication
https://doi.org/10.26008/1912/bco-dmo.683132.1
David S. Wethey
University of South Carolina
principalInvestigator
Thomas J Hilbish
University of South Carolina
principalInvestigator
Sarah A. Woodin
University of South Carolina
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: Wethey, D. S., Hilbish, T. J., Woodin, S. A. (2021) Semibalanus balanoides recruitment surveys in southwest England, Wales, and Scotland from 2015-2016 (EUROWINTER2 project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2017-02-27 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.683132.1 [access date]
Semibalanus balanoides recruitment surveys UK 2015-2016 Dataset Description: Methods and Sampling: <p><strong>Sampling and Analytical Methodology:</strong><br />
Sampling occurred May - June 2015, September 2015, and May - July 2016. Recruitment was sampled at thirty intertidal sites along the west coast of the United Kingdom, encompassing a latitudinal range of approximately 50 to 58 degrees N. Sites were spaced at approximately 50 km intervals, based on estimated dispersal distance for barnacle larvae (Southward, 1967). Five quadrats (15cm x 15 cm) were established at the mid-tidal level at each site. Each quadrat was divided into four sub-quadrats, three of which were scraped completely free of barnacles; the unmanipulated sub-quadrat was a control treatment. The experimental scrapes allowed for the observation of de novo recruitment. Photographic sampling was used to determine recruitment levels. Recruitment density was analyzed for the barnacles Semibalanus balanoides, Chthamalus montagui, Chthamalus stellatus, and Austrominius modestus. Photos of each quadrat were taken using an Olympus TG-4 digital camera, positioned with a focal-framer.</p>
<p><strong>Temperature Methodology:</strong><br />
NOAA Optimum Interpolation Daily Sea Surface Temperature Version 2 (Reynolds et al. 2007) data were obtained from the NOAA National Climatic Data Center https://www.ncdc.noaa.gov/oisst. These daily data are on a 1/4° latitude-longitude grid. For each sample site, the nearest OISST ocean pixel was chosen, and the number of days with Sea Surface temperature (SST) below 10°C between November 1 of the year prior to sampling and February 28 of the year of sampling was determined. These values were categorized into groups: 1=less than 4 weeks below 10°C, 2=four to 6 weeks below 10°C, 3=greater than 6 weeks below 10°C.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1129401 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1129401
Funding provided by National Aeronautics & Space Administration (NASA) Award Number: NNX11AP77G
completed
David S. Wethey
University of South Carolina
803-777-3936
Department of Biological Sciences
Columbia
SC
29208
USA
wethey@biol.sc.edu
pointOfContact
Thomas J Hilbish
University of South Carolina
Department of Biologcial Sciences
Columbia
SC
29208
USA
hilbish@biol.sc.edu
pointOfContact
Sarah A. Woodin
University of South Carolina
Department of Biological Sciences
Columbia
SC
29208
USA
woodin@biol.sc.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
site
lat
lon
date_collected
image_file
area
density_Sbalanoides
density_Chthamalus
temp_category
theme
None, User defined
site
latitude
longitude
date
file_name
No BCO-DMO term
abundance
featureType
BCO-DMO Standard Parameters
Camera
instrument
BCO-DMO Standard Instruments
EUROWINTER2-UK
service
Deployment Activity
southwest England
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.
Climate Change and Biogeography: Effects of Extreme Events
http://tbone.biol.sc.edu/forecasting_test
Climate Change and Biogeography: Effects of Extreme Events
<p>The long term goal of this project is to make verifiable forecasts of the biodiversity consequences of climate change in the coastal zone. By falsifying some and corroborating other biogeographic hypotheses, the investigators will establish a mechanistic framework for forecasting that can be verified by hindcasting the biogeographic changes that have been documented over the past century of climate change. The confluence of the rich biogeographic history of the European intertidal, the extreme conditions of the past 3 cold winters, and our rapidly expanding abilities in ecological forecasting provide a unique opportunity to make extraordinary progress in forecasting biodiversity responses to climate change. The investigators will quantify the metapopulation dynamics of ecologically dominant intertidal species to determine mechanisms responsible for setting geographic limits, and develop long term forecasts of future change. This research will also allow them to test the effect of episodic extreme events on the usefulness of ensemble methods for biogeographic forecasting. In a changing climate, with increasing frequencies of extreme events, it is important to determine whether the biogeography can ever "catch up", or whether the time lags caused by the demographic storage effect and connectivity will prevent the biology from ever tracking the long term change. The methods for ecological engineer and biodiversity forecasting and hindcasting that are described here have general applicability to marine habitats worldwide. All ecosystems have ecologically dominant species that control the rest of the assemblage of organisms, and they all are metapopulations whose connectivity and age structure determines their sensitivity to climate change and extreme events via the demographic storage effect. The players change from place to place and the oceanographic context also changes, but the methods applied here are broadly transferable.</p>
<p>Intellectual Merit: The results of this study will impact dramatically the discourse on the impacts of climate change. Results to date have centered on descriptions of gradual biogeographic range changes and exploration of the mechanisms driving those changes. Rarely in this literature is there discussion of the importance of broadscale episodic catastrophic events on biogeographic ranges, or how to capture those events in forecasting ecological response to climate change. A central prediction of climate change is an increase in the frequency of such potentially catastrophic climatic events which have the power to periodically reset the range boundaries of species in a ratchet-like manner. Of central interest is the degree to which such resets by extreme events determine long-term biogeographic patterns due to the combination of metapopulation dynamics and time lags caused by "storage effects" of long-lived individuals.</p>
<p>Broader Impacts: This project will produce an annotated bibliography of biogeographic data from the Portuguese, Spanish, and French biodiversity literature of the 19th and early 20th centuries, much of which is unavailable in North America. The project will develop a climate change atlas of the European coast including measures of historical risk and the distribution of extreme events. A forecast atlas of the next century will be developed by coupling population models to regional climate forecasts. These products will be used as models of ways to translate scientific results into products of greater utility. The PIs have used this approach in their web-based 7-day ecological forecasts of stress in marine communities, which are in the initial phase of transition to NOAA operational status. The PIs have also engaged policy makers and have worked closely with resource managers.</p>
EUROWINTER2
largerWorkCitation
project
eng; USA
biota
oceans
southwest England
-6.99345
-3.51321
50.00487
58.49128
2015-05-15
2016-06-06
Atlantic coast of Europe from central Portugal to northern Scotland
0
BCO-DMO catalogue of parameters from Semibalanus balanoides recruitment surveys in southwest England, Wales, and Scotland from 2015-2016 (EUROWINTER2 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/683147.rdf
Name: site
Units: unitless
Description: <p>collection site</p>
http://lod.bco-dmo.org/id/dataset-parameter/683148.rdf
Name: lat
Units: decimal degrees
Description: <p>latitude; north is positive</p>
http://lod.bco-dmo.org/id/dataset-parameter/683149.rdf
Name: lon
Units: decimal degrees
Description: <p>longitude; east is positive</p>
http://lod.bco-dmo.org/id/dataset-parameter/683150.rdf
Name: date_collected
Units: unitless
Description: <p>collection date</p>
http://lod.bco-dmo.org/id/dataset-parameter/683151.rdf
Name: image_file
Units: unitless
Description: <p>Original photograph file name</p>
http://lod.bco-dmo.org/id/dataset-parameter/683152.rdf
Name: area
Units: centimeter ^2 (cm^2)
Description: <p>measured area in photograph</p>
http://lod.bco-dmo.org/id/dataset-parameter/683153.rdf
Name: density_Sbalanoides
Units: per cm^2
Description: <p>Density of S. balanoides recruits</p>
http://lod.bco-dmo.org/id/dataset-parameter/683154.rdf
Name: density_Chthamalus
Units: per cm^2
Description: <p>Density of Chthamalus sp. recruits</p>
http://lod.bco-dmo.org/id/dataset-parameter/683155.rdf
Name: temp_category
Units: unitless
Description: <p>Measurement of length of time a location spent below 10°C from November 1 to February 28.<br />
1 = less than four weeks<br />
2 = four to six weeks<br />
3 = greater than six weeks</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
19832
https://darchive.mblwhoilibrary.org/bitstream/1912/26698/1/dataset-683132_uksemibalanusrecruitment__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.683132.1
download
onLine
dataset
<p><strong>Sampling and Analytical Methodology:</strong><br />
Sampling occurred May - June 2015, September 2015, and May - July 2016. Recruitment was sampled at thirty intertidal sites along the west coast of the United Kingdom, encompassing a latitudinal range of approximately 50 to 58 degrees N. Sites were spaced at approximately 50 km intervals, based on estimated dispersal distance for barnacle larvae (Southward, 1967). Five quadrats (15cm x 15 cm) were established at the mid-tidal level at each site. Each quadrat was divided into four sub-quadrats, three of which were scraped completely free of barnacles; the unmanipulated sub-quadrat was a control treatment. The experimental scrapes allowed for the observation of de novo recruitment. Photographic sampling was used to determine recruitment levels. Recruitment density was analyzed for the barnacles Semibalanus balanoides, Chthamalus montagui, Chthamalus stellatus, and Austrominius modestus. Photos of each quadrat were taken using an Olympus TG-4 digital camera, positioned with a focal-framer.</p>
<p><strong>Temperature Methodology:</strong><br />
NOAA Optimum Interpolation Daily Sea Surface Temperature Version 2 (Reynolds et al. 2007) data were obtained from the NOAA National Climatic Data Center https://www.ncdc.noaa.gov/oisst. These daily data are on a 1/4° latitude-longitude grid. For each sample site, the nearest OISST ocean pixel was chosen, and the number of days with Sea Surface temperature (SST) below 10°C between November 1 of the year prior to sampling and February 28 of the year of sampling was determined. These values were categorized into groups: 1=less than 4 weeks below 10°C, 2=four to 6 weeks below 10°C, 3=greater than 6 weeks below 10°C.</p>
Specified by the Principal Investigator(s)
<p>Photos were analyzed using the open source software Image J (Abramoff et al. 2004). The edge of the square quadrat frame (15 cm) was used to set the scale within the image. An analysis area of 30.25 cm2 was delineated in the center of a sub-quadrat and all barnacles within this space were quantified and identified by species. The analysis area was placed in the center of the sub-quadrat to prevent edge effects. All newly recruited barnacles were identified based on plate number and shape as described by Abernot-Le Gac et al. (2016: p 152) and Southward (1976). Individuals of S. balanoides could be confidently differentiated from other common intertidal species in the region, including Chthamalus stellatus, C. montagui, and Austrominius modestus (Southward 1976).</p>
<p><strong>BCO-DMO Processing:</strong><br />
- combined 2015 and 2016 into one dataset<br />
- added conventional header with dataset name, PI name, version date<br />
- renamed parameters to BCO-DMO standard<br />
- reformatted date from d-Mon-yy to yyyy-mm-dd<br />
- replaced spaces with underscores - reduced number of significant digits of lat, lon (from 8 to 5) and density values (from 9 to 2) due to sampling precision methods</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
PI Supplied Instrument Name: Instrument Name: Camera Instrument Short Name:camera Instrument Description: All types of photographic equipment including stills, video, film and digital systems. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/311/
Deployment: EUROWINTER2-UK
EUROWINTER2-UK
SW_England
shoreside
EUROWINTER2-UK
David S. Wethey
University of South Carolina
SW_England
shoreside