http://lod.bco-dmo.org/id/dataset/687894
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
2017-04-19
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
U.S. coastal county socioeconomic and shoreline condition data synthesis and derived calculations from data sources between 2005 to 2010 (EstuarineMetaDyn project)
2017-04-19
publication
2017-04-19
revision
BCO-DMO Linked Data URI
2017-04-19
creation
http://lod.bco-dmo.org/id/dataset/687894
F. Joel Fodrie
University of North Carolina at Chapel Hill
principalInvestigator
Rachel Gittman
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: Fodrie, F. J., Gittman, R. (2017) U.S. coastal county socioeconomic and shoreline condition data synthesis and derived calculations from data sources between 2005 to 2010 (EstuarineMetaDyn project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). Version Date 2017-04-19 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/687894 [access date]
U.S. coastal county socioeconomic and shoreline condition Dataset Description: <p>This dataset contains shoreline condition and socioeconomic&nbsp;data for U.S. coastal counties. &nbsp;Included in the data are the length of hardened shoreline, number of storms, relative sea level rise, shoreline slope, tidal range, erosion or accretion&nbsp;rate, geomorphology, housing density, the number of years shoreline hardening has been banned, and U.S. Gross Domestic Product (GDP).&nbsp; These data and derived calculations were obtained from various databases specified in the Methods &amp; Sampling section.&nbsp;</p>
<p>These data were used for regression tree analyses in the following publication:</p>
<p>Gittman, RK, FJ Fodrie, AM Popowich, DA Keller, JF Bruno, CA Currin, CH Peterson, and MF Piehler (2015) Engineering away our natural defenses: an analysis of shoreline hardening in the United States. Frontiers in Ecology and the Environment 13: 301–307.&nbsp;<a href="http://doi.org/10.1890/150065" target="_blank">doi:10.1890/150065</a></p>
<p>&nbsp;</p> Methods and Sampling: <p>We used the National Oceanic and Atmospheric Administration (NOAA) Office of Response and Restoration’s Environmental Sensitivity Index (ESI) geodatabases to calculate the linear kilometers of total shoreline and kilometers of hardened shoreline for each coastal county within the continental US (NOAA 2005).&nbsp;</p>
<p>To evaluate the relationship between potential drivers and the percentage of hardened shoreline in each US coastal county, we considered the following factors: 2010 housing density (units per square kilometer), 2010 gross domestic product (GDP, expressed in US dollars), coastal slope (%), accretion/erosion rates (meters per year [m yr–1]), geomorphology, mean tidal range (m), mean wave height (m), relative SLR (millimeters per year [mm yr–1]), storm frequency between the years 1970–2010, relative county shoreline position (north to south or west to east along the coast), and years since a ban on shoreline hardening was passed (sources included: the US Census Bureau, the National Ocean Economics Program, the US Geological Survey Coastal Vulnerability Index [USGS CVI] [for a description of the variables, see Hammer-Klose and Thiehler 2001], the Federal Emergency Management Agency’s US Presidential Major Disaster and/or Emergency Declarations [FEMA 2014], and federal and state legislation and permitting procedures).&nbsp;</p>
<p>We grouped all man-made structures (seawalls, bulkheads, riprap structures [revetments, breakwaters, groins/jetties], and hybrid seawall/bulkheads with riprap) to calculate the cumulative lengths of hardened shoreline. We divided each state’s ESI shoreline by coastal county and, for the Pacific and Atlantic coasts, by whether the shoreline was “open” (ie directly exposed to the ocean) or “sheltered” (ie located in a bay, sound, lagoon, or tidally influenced river). We did not divide the Gulf of Mexico coast into “open” or “sheltered” categories because much of the Gulf coastline (eg the Louisiana coastline, the Big Bend region of Florida) consists of reticulated wetlands that cannot be easily classified in this way. We then calculated the length (in kilometers) of tidal shoreline (total and armored), as well as the percentage of hardened shore for each county. Additionally, we calculated the length of tidal wetland shoreline (total and armored).&nbsp;</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1155628 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1155628
completed
F. Joel Fodrie
University of North Carolina at Chapel Hill
252-726-6841
Institute of Marine Sciences & Department of Marine Sciences 3431 Arendell Street
Morehead City
NC
28557
USA
jfodrie@unc.edu
pointOfContact
Rachel Gittman
Northeastern University
r.gittman@neu.edu
pointOfContact
asNeeded
Unknown
county
state
coast
shore_type
hardened_shore
total_shore
storms
SLR
slope
tide_range
wave_height
erosion_accretion
geomorphology
housing_density
order
ban
GDP
theme
None, User defined
site
region
sample description
No BCO-DMO term
length
wave_height
order
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.
Interacting Effects of Local Demography and Larval Connectivity on Estuarine Metapopulation Dynamics
https://osprey.bco-dmo.org/project/559332
Interacting Effects of Local Demography and Larval Connectivity on Estuarine Metapopulation Dynamics
<p>Description from NSF award abstract:<br />
The PIs will use the eastern oyster (<em>Crassostrea virginica</em>) in Pamlico Sound, North Carolina, as a model system and will attempt to optimize the design of networks of no-take reserves as a strategy for maintaining metapopulations of this commercially harvested species. The project specifically recognizes that network persistence depends on (1) the potential for growth, survival, and reproduction within reserves, and (2) the potential to distribute offspring among reserves. Thus, demographic processes within reserves and settling areas play important roles, along with variability of physical transport. The PIs plan to:<br />
(1) test and refine 3D bio-physical models of connectivity due to oyster larval transport in a shallow, wind-dominated system;<br />
(2) test, refine, and apply technology to detect natal origins of larvae using geochemical tags in larval shell; and<br />
(3) integrate regional connectivity and demographic rates to model metapopulation dynamics.</p>
<p>This study will produce new tools and test and refine others used for studying larval connectivity, a fundamentally important process in the maintenance of natural populations, and thus in biological conservation and resource management. The tools include a hydrodynamic modeling tool coupled with an open-source particle tracking model that will be available on-line with computer code and user guide. The project will use integrated modeling approaches to evaluate the design of reserve networks: results will be directly useful to improving oyster and ecosystem-based management in Pamlico Sound, and the methods will inform approaches to network design in other locations.</p>
EstuarineMetaDyn
largerWorkCitation
project
eng; USA
oceans
-124.7844
-66.9514
24.7433
49.3458
2017-04-19
North Carolina Estuaries
0
BCO-DMO catalogue of parameters from U.S. coastal county socioeconomic and shoreline condition data synthesis and derived calculations from data sources between 2005 to 2010 (EstuarineMetaDyn 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/687923.rdf
Name: county
Units: unitless
Description: <p>US county</p>
http://lod.bco-dmo.org/id/dataset-parameter/687924.rdf
Name: state
Units: unitless
Description: <p>US State</p>
http://lod.bco-dmo.org/id/dataset-parameter/687925.rdf
Name: coast
Units: unitless
Description: <p>US coast (Atlantic/Pacific)</p>
http://lod.bco-dmo.org/id/dataset-parameter/687926.rdf
Name: shore_type
Units: unitless
Description: <p>Type of shoreline (Open/Sheltered/Closed)</p>
http://lod.bco-dmo.org/id/dataset-parameter/687927.rdf
Name: hardened_shore
Units: percent (%)
Description: <p>Percentage of shoreline that is hardened</p>
http://lod.bco-dmo.org/id/dataset-parameter/687928.rdf
Name: total_shore
Units: kilometers (km)
Description: <p>Total shoreline legth</p>
http://lod.bco-dmo.org/id/dataset-parameter/687929.rdf
Name: storms
Units: count
Description: <p>Number of storms with National Disaster Declarations from 1970-2010</p>
http://lod.bco-dmo.org/id/dataset-parameter/687930.rdf
Name: SLR
Units: millimeters per year
Description: <p>Relative rate of sea level rise</p>
http://lod.bco-dmo.org/id/dataset-parameter/687931.rdf
Name: slope
Units: percent (%)
Description: <p>Slope of the shoreline</p>
http://lod.bco-dmo.org/id/dataset-parameter/687932.rdf
Name: tide_range
Units: meters (m)
Description: <p>Tide range</p>
http://lod.bco-dmo.org/id/dataset-parameter/687933.rdf
Name: wave_height
Units: meters (m)
Description: <p>Wave height</p>
http://lod.bco-dmo.org/id/dataset-parameter/687934.rdf
Name: erosion_accretion
Units: millimeters per year
Description: <p>Erosion or accretion rate of the shoreline</p>
http://lod.bco-dmo.org/id/dataset-parameter/687935.rdf
Name: geomorphology
Units: unitless
Description: <p>Geomorphology of the shoreline</p>
http://lod.bco-dmo.org/id/dataset-parameter/687936.rdf
Name: housing_density
Units: housing units per square kilometer
Description: <p>density of houses per US coastal county in 2010</p>
http://lod.bco-dmo.org/id/dataset-parameter/687937.rdf
Name: order
Units: unitless
Description: <p>Geographic order along the shoreline from north to south or east to west</p>
http://lod.bco-dmo.org/id/dataset-parameter/687938.rdf
Name: ban
Units: years
Description: <p>The number of years shoreline hardening has been banned in the state</p>
http://lod.bco-dmo.org/id/dataset-parameter/687939.rdf
Name: GDP
Units: U.S. dollars
Description: <p>US Gross Domestic Product for 2010</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
37177
https://datadocs.bco-dmo.org/file/vmmwygKs7XNoXX/counties.csv
counties.csv
Primary data file for dataset ID 687894
download
https://osprey.bco-dmo.org/dataset/687894/data/download
download
onLine
dataset
<p>We used the National Oceanic and Atmospheric Administration (NOAA) Office of Response and Restoration’s Environmental Sensitivity Index (ESI) geodatabases to calculate the linear kilometers of total shoreline and kilometers of hardened shoreline for each coastal county within the continental US (NOAA 2005).&nbsp;</p>
<p>To evaluate the relationship between potential drivers and the percentage of hardened shoreline in each US coastal county, we considered the following factors: 2010 housing density (units per square kilometer), 2010 gross domestic product (GDP, expressed in US dollars), coastal slope (%), accretion/erosion rates (meters per year [m yr–1]), geomorphology, mean tidal range (m), mean wave height (m), relative SLR (millimeters per year [mm yr–1]), storm frequency between the years 1970–2010, relative county shoreline position (north to south or west to east along the coast), and years since a ban on shoreline hardening was passed (sources included: the US Census Bureau, the National Ocean Economics Program, the US Geological Survey Coastal Vulnerability Index [USGS CVI] [for a description of the variables, see Hammer-Klose and Thiehler 2001], the Federal Emergency Management Agency’s US Presidential Major Disaster and/or Emergency Declarations [FEMA 2014], and federal and state legislation and permitting procedures).&nbsp;</p>
<p>We grouped all man-made structures (seawalls, bulkheads, riprap structures [revetments, breakwaters, groins/jetties], and hybrid seawall/bulkheads with riprap) to calculate the cumulative lengths of hardened shoreline. We divided each state’s ESI shoreline by coastal county and, for the Pacific and Atlantic coasts, by whether the shoreline was “open” (ie directly exposed to the ocean) or “sheltered” (ie located in a bay, sound, lagoon, or tidally influenced river). We did not divide the Gulf of Mexico coast into “open” or “sheltered” categories because much of the Gulf coastline (eg the Louisiana coastline, the Big Bend region of Florida) consists of reticulated wetlands that cannot be easily classified in this way. We then calculated the length (in kilometers) of tidal shoreline (total and armored), as well as the percentage of hardened shore for each county. Additionally, we calculated the length of tidal wetland shoreline (total and armored).&nbsp;</p>
Specified by the Principal Investigator(s)
* added a conventional header with dataset name, PI name, version date
* modified parameter names to conform with BCO-DMO naming conventions
* blank values replaced with no data value 'nd'
* apostrophes removed from county names "St. Mary's" and "Queen Anne's"
Specified by BCO-DMO Data Managers
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