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BCO-DMO ERDDAP
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| Dataset Title: | Relative depredation (binomial) data from a squidpop tethering experiment in summer 2017 in Back Sound, North Carolina 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_780092) |
| Range: | longitude = -76.58783 to -76.52627°E, latitude = 34.651054 to 34.70325°N, time = 2017-07-05T17:04Z to 2017-08-31T14:27Z |
| Information: | Summary
| License
| ISO 19115
| Metadata
| Background
| Data Access Form
| Files
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![[The graph you specified. Please be patient.]](https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_780092.png?longitude,latitude,percent_sg_cov&time%3E=2017-08-25T00%3A00Z&time%3C=2017-09-01T00%3A00Z&.draw=markers&.marker=5%7C5&.color=0x000000&.colorBar=%7C%7C%7C%7C%7C&.bgColor=0xffccccff)
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Attributes {
s {
Date {
String bcodmo_name "date";
String description "Date tethered crab deployed in ISO 8601 format yyyy-mm-dd";
String long_name "Date";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
String time_precision "1970-01-01";
String units "unitless";
}
SiteID {
String bcodmo_name "site_descrip";
String description "Name of seagrass bed in which tether was deployed";
String long_name "Site ID";
String units "unitless";
}
C_F {
String bcodmo_name "site_descrip";
String description "Fragmentation state of seagrass bed: C = Continuous, F = Fragmented";
String long_name "C F";
String units "unitless";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range 34.651056, 34.703251;
String axis "Y";
String bcodmo_name "latitude";
Float64 colorBarMaximum 90.0;
Float64 colorBarMinimum -90.0;
String description "Latitude";
String ioos_category "Location";
String long_name "Latitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
String standard_name "latitude";
String units "degrees_north";
}
longitude {
String _CoordinateAxisType "Lon";
Float64 _FillValue NaN;
Float64 actual_range -76.587826, -76.526267;
String axis "X";
String bcodmo_name "longitude";
Float64 colorBarMaximum 180.0;
Float64 colorBarMinimum -180.0;
String description "Longitude";
String ioos_category "Location";
String long_name "Longitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
String standard_name "longitude";
String units "degrees_east";
}
percent_sg_cov {
Float32 _FillValue NaN;
Float32 actual_range 0.069, 0.998;
String bcodmo_name "cover_pcent";
Float64 colorBarMaximum 100.0;
Float64 colorBarMinimum 0.0;
String description "Percent/100 cover of seagrass with the minimum convex polygon surrounding the seagrass meadow";
String long_name "Percent Sg Cov";
String units "dimensionless";
}
AirTemp_C {
Float32 _FillValue NaN;
Float32 actual_range 21.1, 31.1;
String bcodmo_name "temp_air";
String description "Air temperature at time and place of tether deployment";
String long_name "Air Temp C";
String units "degrees Celsius (C)";
}
WaterTemp_C {
Float32 _FillValue NaN;
Float32 actual_range 23.3, 31.8;
String bcodmo_name "temperature";
String description "Water temperature at time and place of tether deployment";
String long_name "Water Temp C";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
String units "degrees Celsius (C)";
}
Salinity_PSU {
Byte _FillValue 127;
Byte actual_range 34, 38;
String bcodmo_name "sal";
Float64 colorBarMaximum 37.0;
Float64 colorBarMinimum 32.0;
String description "Salinity of water at time and place of tether deployment";
String long_name "Sea Water Practical Salinity";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
String units "Practical Salinity Units (PSU)";
}
Depth_m {
Float32 _FillValue NaN;
Float32 actual_range 0.4, 1.1;
String bcodmo_name "depth_w";
Float64 colorBarMaximum 8000.0;
Float64 colorBarMinimum -8000.0;
String colorBarPalette "TopographyDepth";
String description "Depth of water at time and place of tether deployment";
String long_name "Depth";
String standard_name "depth";
String units "meters (m)";
}
HighTide {
String bcodmo_name "time_local";
String description "Time of high tide at place of tether deployment [EDT][GMT-4h] in format h:mm";
String long_name "High Tide";
String units "unitless";
}
LowTide {
String bcodmo_name "time_local";
String description "Time of low tide at place of tether deployment [EDT][GMT-4h] in format h:mm";
String long_name "Low Tide";
String units "unitless";
}
TimeInFromHigh {
String bcodmo_name "time_elapsed";
String description "At time of tether deployment, time passed since high tide in format h:mm";
String long_name "Time In From High";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ELTMZZZZ/";
String units "unitless";
}
Tide {
String bcodmo_name "site_descrip";
String description "At time of tether deployment, ebb or flow tide";
String long_name "Tide";
String units "unitless";
}
Bobber_Num {
Int16 _FillValue 32767;
Int16 actual_range 401, 700;
String bcodmo_name "deployno";
String description "Individual ID number of tether (numbers may be repeated across dates)";
String long_name "Bobber Num";
String units "per individual";
}
E_I {
String bcodmo_name "site_descrip";
String description "Position of tether deployment with seagrass bed; E = edge (≤0.3 m from seagrass/mudflat interface), I = Interior (>1 m from seagrass/mudflat interface)";
String long_name "E I";
String units "unitless";
}
TimeIn {
String bcodmo_name "time_local";
String description "Local time of tether deployment [EDT][GMT-4h] in format h:mm";
String long_name "Time In";
String units "unitless";
}
TimeOut {
String bcodmo_name "time_local";
String description "Local time of tether removal [EDT][GMT-4h] in format h:mm";
String long_name "Time Out";
String units "unitless";
}
hr1 {
Byte _FillValue 127;
Byte actual_range 0, 1;
String bcodmo_name "flag";
String description "Status of squidpop on tether at 1 hour from deployment time; 1 = present, 0 = absent";
String long_name "HR1";
String units "unitless";
}
hr2 {
Byte _FillValue 127;
Byte actual_range 0, 1;
String bcodmo_name "flag";
String description "Status of squidpop on tether at 2 hours from deployment time; 1 = present, 0 = absent";
String long_name "HR2";
String units "unitless";
}
hr24 {
Byte _FillValue 127;
Byte actual_range 0, 1;
String bcodmo_name "flag";
String description "Status of squidpop on tether at 24 hours from deployment time; 1 = present, 0 = absent";
String long_name "HR24";
String units "unitless";
}
time {
String _CoordinateAxisType "Time";
Float64 actual_range 1.49927424e+9, 1.50418962e+9;
String axis "T";
String bcodmo_name "ISO_DateTime_UTC";
String description "Date Time (UTC) in ISO 8601 format yyyy-mm-ddTHH:MMZ";
String ioos_category "Time";
String long_name "ISO Date Time UTC In";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
String source_name "ISO_DateTime_UTC_In";
String standard_name "time";
String time_origin "01-JAN-1970 00:00:00";
String time_precision "1970-01-01T00:00Z";
String units "seconds since 1970-01-01T00:00:00Z";
}
Notes {
String bcodmo_name "comment";
String description "Notes relevant to individual tether";
String long_name "Notes";
String units "unitless";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
String acquisition_description
"For Table and Figure references below, see the document
\"SquidpopAssay_statistical_analysis.pdf\" in the Supplemental Files section.
Study Site Selection
We conducted our study across eight discrete seagrass meadows (hereafter
referred to as landscapes) located in Back Sound, North Carolina (NC), USA
(3442\\u2032 N to 3439\\u2032 N, 7637\\u2032 W to 7631\\u2032 W) (Fig. S1). All of
our sampled landscapes were composed of a mixture of Back Sound's dominant
seagrasses: eelgrass and shoal grass, Halodule wrightii (Ascherson 1868)
(Yeager et al. 2016). Landscapes were chosen based upon available aerial
imagery in Google Earth Pro as of February 19, 2017, and ground-truthed for
changes in seasonal seagrass growth/senescence using summer, 2017, drone
photography and ImageJ 1.x (Schneider et al. 2012). No discernable differences
in landscape fragmentation states (e.g. total area, number of patches) were
found between the two aerial imagery sources. All landscapes were relatively
shallow (1-1.5 m depth at high tide), reasonably isolated from other seagrass
beds (distance to nearest seagrass meadow = 112 17 m [mean standard error])
and were appropriately sized to encompass short-term (e.g., daily, monthly)
movements of common seagrass-associated fauna in this system (Yeager et al.
2016). We identified similarly sized landscapes (25882 6592 m2) available in
Back Sound by defining the minimum convex polygon surrounding the seagrass
meadow, regardless of the total seagrass cover within the polygon. Among eight
candidate landscapes of similar size, we defined four continuous landscapes
and four fragmented landscapes based on the number of patches, the perimeter-
to-area ratio, and the largest patch's percent cover of the total seagrass
area (Table 1). Seagrass fragmentation is often naturally coupled with habitat
loss (Wilcove et al. 1986), resulting in the mean seagrass area of our
fragmented landscapes being nearly half that of our continuous landscapes
(Table 1). Thus, our experiment was designed to examine the effects of
fragmentation (i.e., the breaking apart of habitat concomitant with habitat
loss) rather than fragmentation per se (i.e., the breaking apart of habitat
without habitat loss; sensu Fahrig 2003).
Squidpop Assays
Squidpops were also used to measure relative \"depredation\" across landscapes
(acknowledging that a combination of predation and scavenging may account for
observed loss patterns). Squidpops are 1-cm 1-cm squares of dried squid mantle
tied to 1-cm segments of 12-lbs test monofilament (Duffy et al. 2015). We
attached squidpops to 60-cm long, 0.5-cm diameter, fiberglass stakes. Twenty
squidpops were deployed (stakes pushed 50 cm into the sediment to prevent
squidpop tangling in seagrass or burial in sediment) within each of the eight
landscapes per assay date during July and August (July 5, July 13, July 26,
August 8, and August 30). Within each landscape, 10 squidpops were haphazardly
placed within seagrass edges, defined as 30 cm (a crab tether length) from the
seagrass-mudflat interface. The other 10 squidpops were haphazardly placed in
seagrass interiors, defined as \\u22651 m from the seagrass-mudflat interface.
Only patches with a radius of 1 m or larger were used for squidpops classified
as 'interior'. However, patches with a radius of <1 m were used for a portion
of our 'edge' squidpops. All squidpops were placed at least 1 m apart. A total
of 720 squidpops were deployed (Table S1). Squidpop depredation assays did not
occur in June due to lack of dried squid availability. During the first two
squidpop deployment cycles we checked squidpop status (present, absent/eaten)
at 1 h and 24 h. We observed nearly 100% squidpop removal by 24 h, so for the
remaining three deployment cycles we performed status checks at 1 h and 2 h.
Point measurements of water temperature (C) were taken in each landscape at
the location and time of all squidpop assays hand-held thermometers (Table
S1). We chose temperature as our seasonality proxy (Fig. S2) because several
other seasonally affected factors including faunal densities correlate with
water temperature variability. Additionally, the measurement of temperature is
easy, cheap, reliable, and comparable to previous studies.
Equipment:
Dried squid mantel: whole dried squid from Asian food market
Tether materials:
EcoStakes \\u2013 tomato plant stakes
12-lbs test monofilament fishing line
Pool noodles \\u2013 cut into rounds for tether relocation floats
Hand-held digital thermometer- LYNCH Waterproof thermometer 39240
Hand-held refractometer-VEE GEE STX-3 Salinity 0-100%o
Hand-held Garmin GPSmap 78";
String awards_0_award_nid "714025";
String awards_0_award_number "OCE-1635950";
String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1635950";
String awards_0_funder_name "NSF Division of Ocean Sciences";
String awards_0_funding_acronym "NSF OCE";
String awards_0_funding_source_nid "355";
String awards_0_program_manager "Michael E. Sieracki";
String awards_0_program_manager_nid "50446";
String cdm_data_type "Other";
String comment
"Squidpop Assay
PI(s): Dr F. Joel Fodrie
Data Version 1: 2019-11-06";
String Conventions "COARDS, CF-1.6, ACDD-1.3";
String creator_email "info@bco-dmo.org";
String creator_name "BCO-DMO";
String creator_type "institution";
String creator_url "https://www.bco-dmo.org/";
String data_source "extract_data_as_tsv version 2.3 19 Dec 2019";
String date_created "2019-10-29T20:51:31Z";
String date_modified "2019-11-13T18:30:09Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.780092.1";
Float64 Easternmost_Easting -76.526267;
Float64 geospatial_lat_max 34.703251;
Float64 geospatial_lat_min 34.651056;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max -76.526267;
Float64 geospatial_lon_min -76.587826;
String geospatial_lon_units "degrees_east";
String history
"2024-04-19T15:16:47Z (local files)
2024-04-19T15:16:47Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_780092.das";
String infoUrl "https://www.bco-dmo.org/dataset/780092";
String institution "BCO-DMO";
String instruments_0_acronym "Refractometer";
String instruments_0_dataset_instrument_description "Hand-held refractometer-VEE GEE STX-3 Salinity 0-100%o";
String instruments_0_dataset_instrument_nid "781111";
String instruments_0_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.";
String instruments_0_instrument_name "Refractometer";
String instruments_0_instrument_nid "679";
String instruments_0_supplied_name "VEE GEE STX-3";
String instruments_1_dataset_instrument_nid "781113";
String instruments_1_description "Acquires satellite signals and tracks your location.";
String instruments_1_instrument_name "GPS receiver";
String instruments_1_instrument_nid "706037";
String instruments_1_supplied_name "Hand-held Garmin GPSmap 78";
String instruments_2_dataset_instrument_description "Hand-held digital thermometer-";
String instruments_2_dataset_instrument_nid "781110";
String instruments_2_instrument_name "Thermometer";
String instruments_2_instrument_nid "725867";
String instruments_2_supplied_name "LYNCH Waterproof thermometer 39240";
String keywords "air, AirTemp_C, bco, bco-dmo, biological, bobber, Bobber_Num, C_F, chemical, cov, data, dataset, date, density, depth, Depth_m, dmo, E_I, earth, Earth Science > Oceans > Salinity/Density > Salinity, erddap, high, HighTide, hr1, hr2, hr24, iso, latitude, longitude, low, LowTide, management, notes, num, ocean, oceanography, oceans, office, out, percent, percent_sg_cov, practical, preliminary, salinity, Salinity_PSU, science, sea, sea_water_practical_salinity, seawater, site, SiteID, temperature, tide, time, TimeIn, TimeInFromHigh, TimeOut, water, WaterTemp_C";
String keywords_vocabulary "GCMD Science Keywords";
String license "https://www.bco-dmo.org/dataset/780092/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/780092";
Float64 Northernmost_Northing 34.703251;
String param_mapping "{'780092': {'lat': 'master - latitude', 'lon': 'master - longitude', 'ISO_DateTime_UTC_In': 'master - time'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/780092/parameters";
String people_0_affiliation "University of North Carolina at Chapel Hill";
String people_0_affiliation_acronym "UNC-Chapel Hill-IMS";
String people_0_person_name "Dr F. Joel Fodrie";
String people_0_person_nid "559341";
String people_0_role "Principal Investigator";
String people_0_role_type "originator";
String people_1_affiliation "University of North Carolina at Chapel Hill";
String people_1_affiliation_acronym "UNC-Chapel Hill-IMS";
String people_1_person_name "Amy Yarnall";
String people_1_person_nid "780032";
String people_1_role "Contact";
String people_1_role_type "related";
String people_2_affiliation "Woods Hole Oceanographic Institution";
String people_2_affiliation_acronym "WHOI BCO-DMO";
String people_2_person_name "Amber York";
String people_2_person_nid "643627";
String people_2_role "BCO-DMO Data Manager";
String people_2_role_type "related";
String project "Habitat Fragmentation";
String projects_0_acronym "Habitat Fragmentation";
String projects_0_description
"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.
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.";
String projects_0_end_date "2019-08";
String projects_0_geolocation "North Carolina";
String projects_0_name "Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms";
String projects_0_project_nid "714026";
String projects_0_start_date "2016-09";
String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
String publisher_type "institution";
String sourceUrl "(local files)";
Float64 Southernmost_Northing 34.651056;
String standard_name_vocabulary "CF Standard Name Table v55";
String summary "Relative depredation (binomial) data from a squidpop tethering experiment in summer 2017 in Back Sound, North Carolina.";
String time_coverage_end "2017-08-31T14:27Z";
String time_coverage_start "2017-07-05T17:04Z";
String title "Relative depredation (binomial) data from a squidpop tethering experiment in summer 2017 in Back Sound, North Carolina";
String version "1";
Float64 Westernmost_Easting -76.587826;
String xml_source "osprey2erddap.update_xml() v1.3";
}
}
Data Access Protocol (DAP) and its
selection constraints.
The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.
Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names,
followed by a collection of
constraints (e.g., variable<value),
each preceded by '&' (which is interpreted as "AND").
For details, see the tabledap Documentation.