http://lod.bco-dmo.org/id/dataset/891859
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
2023-03-13
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Epibenthic faunal densities sampled from within Artificial Seagrass Units (ASU) in Back Sound, NC from June to October 2018
2023-03-15
publication
2023-03-15
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2023-03-28
publication
https://doi.org/10.26008/1912/bco-dmo.891859.1
F. Joel Fodrie
University of North Carolina at Chapel Hill
principalInvestigator
Lauren Yeager
University of Texas - Marine Science Institute
principalInvestigator
Cori Lopazanski
University of North Carolina at Chapel Hill
principalInvestigator
Abigail K. Poray
University of North Carolina at Chapel Hill
principalInvestigator
Amy Yarnall
University of North Carolina at Chapel Hill
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: Yarnall, A., Fodrie, F. J., Lopazanski, C., Poray, A. K., Yeager, L. (2023) Epibenthic faunal densities sampled from within Artificial Seagrass Units (ASU) in Back Sound, NC from June to October 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-03-15 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.891859.1 [access date]
Methods and Sampling: <p>From June to October 2018, epibenthic faunae (primarily juvenile) were sampled on Oscar Shoal and an adjacent unnamed shoal in Back Sound, NC, USA (34°42′20" N to 34°41′60" N, 76°36′ 15" W to 76°35′17" W) with baited (approximately 8 pieces of dry dog food, Able et al., 2015) Gee-style minnow traps (41-centimeters long, 22-centimeters wide, 0.3-centimeter galvanized mesh-wire cylinders, with 4-centimeter diameter funneled openings). One trap was deployed within the largest patch of each landscape on nine occasions and at each of two of the matrix locations on four occasions. Each minnow trap deployment lasted 24 hours, at which time all faunae were enumerated, identified to the lowest taxonomical level possible, and released.</p>
<p><strong>Known Issues:</strong><br />
The study area and artificial landscapes were directly impacted by Hurricane Florence during 13-16 Sept 2018. Despite ASU re-enforcements made prior to Florence's landfall (i.e., additional lawn staples and cable ties), our landscapes experienced substantial disturbance akin to natural seagrasses in the vicinity, in many cases completely removing or burying ASUs which altered the landscape percent cover and fragmentation <em>per se</em> parameters. Holding the original landscape 234-square meter footprint constant, post-Florence landscape percent cover and percolation probabilities were recalculated both including and excluding ASUs that were fully buried under sediment. Trap samples were taken both before and after Florence. Due to considerable landscape parameter alterations over this timeframe and potentially confounding disturbance influences, caution should be taken in examining post-Florence faunal densities.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1635950 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1635950
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
Lauren Yeager
University of Texas - Marine Science Institute
750 Channel View Dr
Port Aransas
TX
78373
US
laurenayeager@gmail.com
pointOfContact
Cori Lopazanski
University of North Carolina at Chapel Hill
Bren School of Environmental Science & Management, University of California Santa Barbara
Santa Barbara
CA
USA
cori.lopazanski@gmail.com
pointOfContact
Abigail K. Poray
University of North Carolina at Chapel Hill
Institute of Marine Sciences & Department of Marine Sciences 3431 Arendell Street
Morehead City
NC
28557
USA
ab.poray@gmail.com
pointOfContact
Amy Yarnall
University of North Carolina at Chapel Hill
(601) 634-3772
Engineer Research Development Center, USACE 3909 Halls Ferry Rd.
Vicksburg
MS
39180
USA
amyhyarnall@gmail.com
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Site_ID
Latitude
Longitude
Per_cov
Frag
Date_In
Time_In
Date_Out
Time_Out
H_tide
L_tide
WaterTemp_C
Sal_PSU
Trap_class
Cell_coord
Cell_class
Sp_name
Sci_name
Length
ExTech 39240
VeeGee STX-3
theme
None, User defined
Site_ID
latitude
longitude
percent coverage
site description
date_start
time begin
date end
time_end
time of day
water temperature at measurement depth
sea surface salinity
No BCO-DMO term
common_name
species scientific name (binomial)
length
featureType
BCO-DMO Standard Parameters
digital thermometer
minnow trap
Refractometer
instrument
BCO-DMO Standard Instruments
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.
Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms
https://osprey.bco-dmo.org/project/714026
Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms
<p>Amount and quality of habitat is thought to be of fundamental importance to maintaining coastal marine ecosystems. This research will use large-scale field experiments to help understand how and why fish populations respond to fragmentation of seagrass habitats. The question is complex because increased fragmentation in seagrass beds decreases the amount and also the configuration of the habitat (one patch splits into many, patches become further apart, the amount of edge increases, etc). Previous work by the investigators in natural seagrass meadows provided evidence that fragmentation interacts with amount of habitat to influence the community dynamics of fishes in coastal marine landscapes. Specifically, fragmentation had no effect when the habitat was large, but had a negative effect when habitat was smaller. In this study, the investigators will build artificial seagrass habitat to use in a series of manipulative field experiments at an ambitious scale. The results will provide new, more specific information about how coastal fish community dynamics are affected by changes in overall amount and fragmentation of seagrass habitat, in concert with factors such as disturbance, larval dispersal, and wave energy. The project will support two early-career investigators, inform habitat conservation strategies for coastal management, and provide training opportunities for graduate and undergraduate students. The investigators plan to target students from underrepresented groups for the research opportunities.</p>
<p>Building on previous research in seagrass environments, this research will conduct a series of field experiments approach at novel, yet relevant scales, to test how habitat area and fragmentation affect fish diversity and productivity. Specifically, 15 by 15-m seagrass beds will be created using artificial seagrass units (ASUs) that control for within-patch-level (~1-10 m2) factors such as shoot density and length. The investigators will employ ASUs to manipulate total habitat area and the degree of fragmentation within seagrass beds in a temperate estuary in North Carolina. In year one, response of the fishes that colonize these landscapes will be measured as abundance, biomass, community structure, as well as taxonomic and functional diversity. Targeted ASU removals will then follow to determine species-specific responses to habitat disturbance. In year two, the landscape array and sampling regime will be doubled, and half of the landscapes will be seeded with post-larval fish of low dispersal ability to test whether pre- or post-recruitment processes drive landscape-scale patterns. In year three, the role of wave exposure (a natural driver of seagrass fragmentation) in mediating fish community response to landscape configuration will be tested by deploying ASU meadows across low and high energy environments.</p>
Habitat Fragmentation
largerWorkCitation
project
eng; USA
biota
oceans
-76.603
-76.589
34.701
34.707
2018-06-05
2018-10-25
North Carolina
0
BCO-DMO catalogue of parameters from Epibenthic faunal densities sampled from within Artificial Seagrass Units (ASU) in Back Sound, NC from June to October 2018
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/891971.rdf
Name: Site_ID
Units: unitless
Description: <p>Artificial seagrass unit (ASU) landscape name (Percent cover value-Percolation probability value)</p>
http://lod.bco-dmo.org/id/dataset-parameter/891972.rdf
Name: Latitude
Units: decimal degrees
Description: <p>Latitude North (South is negative) of sampling site</p>
http://lod.bco-dmo.org/id/dataset-parameter/891973.rdf
Name: Longitude
Units: decimal degrees
Description: <p>Longitude East (West is negative) of sampling site</p>
http://lod.bco-dmo.org/id/dataset-parameter/891974.rdf
Name: Per_cov
Units: percent (%)
Description: <p>Percent cover of ASUs in a 234 square meter landscape footprint (10, 22.5, 35, 47.5, 60)</p>
http://lod.bco-dmo.org/id/dataset-parameter/891975.rdf
Name: Frag
Units: unitless
Description: <p>ASU landscape fragmentation per se indexed by percolation probability (0.1, 0.225, 0.35, 0.475, 0.59)</p>
http://lod.bco-dmo.org/id/dataset-parameter/891976.rdf
Name: Date_In
Units: unitless
Description: <p>Date of minnow trap deployment</p>
http://lod.bco-dmo.org/id/dataset-parameter/891977.rdf
Name: Time_In
Units: unitless
Description: <p>Time of minnow trap deployment in format hh:mm (24 hour)</p>
http://lod.bco-dmo.org/id/dataset-parameter/891978.rdf
Name: Date_Out
Units: unitless
Description: <p>Date of minnow trap retrieval</p>
http://lod.bco-dmo.org/id/dataset-parameter/891979.rdf
Name: Time_Out
Units: unitless
Description: <p>Time of minnow trap retrieval in format hh:mm (24 hour)</p>
http://lod.bco-dmo.org/id/dataset-parameter/891980.rdf
Name: H_tide
Units: unitless
Description: <p>Time of high tide proximate to minnow trap deployment in format hh:mm (24 hour)</p>
http://lod.bco-dmo.org/id/dataset-parameter/891981.rdf
Name: L_tide
Units: unitless
Description: <p>Time of low tide proximate to minnow trap deployment in format hh:mm (24 hour)</p>
http://lod.bco-dmo.org/id/dataset-parameter/891982.rdf
Name: WaterTemp_C
Units: degrees C
Description: <p>Surface water temperature at time of minnow trap deployment</p>
http://lod.bco-dmo.org/id/dataset-parameter/891983.rdf
Name: Sal_PSU
Units: PSU
Description: <p>Surface salinity at time of minnow trap deployment</p>
http://lod.bco-dmo.org/id/dataset-parameter/891984.rdf
Name: Trap_class
Units: unitless
Description: <p>Location type of minnow trap deployment within ASU landscape (largest patch, near-patch, inter-patch)</p>
http://lod.bco-dmo.org/id/dataset-parameter/891985.rdf
Name: Cell_coord
Units: unitless
Description: <p>Cell coordinates designate a grid position within the ASU landscape. Each landscape was designed as a grid of 15 x 15 cells, each of which may or may not be occupied by an ASU. Landscape cell coordinates are identified by C (column; out of 15) number and R (row; out of 15) number.</p>
http://lod.bco-dmo.org/id/dataset-parameter/891986.rdf
Name: Cell_class
Units: unitless
Description: <p>Habitat type of cell within ASU landscape (ASU = artificial seagrass unit; MTRX = mudflat matrix)</p>
http://lod.bco-dmo.org/id/dataset-parameter/891987.rdf
Name: Sp_name
Units: unitless
Description: <p>Common name of fauna species</p>
http://lod.bco-dmo.org/id/dataset-parameter/891988.rdf
Name: Sci_name
Units: unitless
Description: <p>Scientific name of fauna species</p>
http://lod.bco-dmo.org/id/dataset-parameter/891989.rdf
Name: Length
Units: millimeters (mm)
Description: <p>Total length of fauna</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
112522
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/53054ec9-f0c3-4618-98a0-1b0631066d22/content
download
https://doi.org/10.26008/1912/bco-dmo.891859.1
download
onLine
dataset
<p>From June to October 2018, epibenthic faunae (primarily juvenile) were sampled on Oscar Shoal and an adjacent unnamed shoal in Back Sound, NC, USA (34°42′20" N to 34°41′60" N, 76°36′ 15" W to 76°35′17" W) with baited (approximately 8 pieces of dry dog food, Able et al., 2015) Gee-style minnow traps (41-centimeters long, 22-centimeters wide, 0.3-centimeter galvanized mesh-wire cylinders, with 4-centimeter diameter funneled openings). One trap was deployed within the largest patch of each landscape on nine occasions and at each of two of the matrix locations on four occasions. Each minnow trap deployment lasted 24 hours, at which time all faunae were enumerated, identified to the lowest taxonomical level possible, and released.</p>
<p><strong>Known Issues:</strong><br />
The study area and artificial landscapes were directly impacted by Hurricane Florence during 13-16 Sept 2018. Despite ASU re-enforcements made prior to Florence's landfall (i.e., additional lawn staples and cable ties), our landscapes experienced substantial disturbance akin to natural seagrasses in the vicinity, in many cases completely removing or burying ASUs which altered the landscape percent cover and fragmentation <em>per se</em> parameters. Holding the original landscape 234-square meter footprint constant, post-Florence landscape percent cover and percolation probabilities were recalculated both including and excluding ASUs that were fully buried under sediment. Trap samples were taken both before and after Florence. Due to considerable landscape parameter alterations over this timeframe and potentially confounding disturbance influences, caution should be taken in examining post-Florence faunal densities.</p>
Specified by the Principal Investigator(s)
<p>All data were entered electronically into an Excel spreadsheet.</p>
<p><strong>BCO-DMO Processing Description:</strong><br />
- Adjusted field/parameter names to comply with BCO-DMO naming conventions<br />
- Missing data identifier ‘NA’ replaced with blank (BCO-DMO's default missing data identifier)<br />
- Converted dates to format (YYYY-MM-DD)<br />
- Added "Latitude" and "Longitude" columns and rounded to three decimal places</p>
<p>&nbsp;</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
ExTech 39240
ExTech 39240
PI Supplied Instrument Name: ExTech 39240 Instrument Name: digital thermometer Instrument Short Name: Instrument Description: An instrument that measures temperature digitally.
PI Supplied Instrument Name: Instrument Name: minnow trap Instrument Short Name: Instrument Description: shore fishing gear
VeeGee STX-3
VeeGee STX-3
PI Supplied Instrument Name: VeeGee STX-3 Instrument Name: Refractometer Instrument Short Name:Refractometer Instrument Description: A refractometer is a laboratory or field device for the measurement of an index of refraction (refractometry). The index of refraction is calculated from Snell's law and can be calculated from the composition of the material using the Gladstone-Dale relation.
In optics the refractive index (or index of refraction) n of a substance (optical medium) is a dimensionless number that describes how light, or any other radiation, propagates through that medium.