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| Dataset Title: | [Seagrass fauna counts] - Fauna species count data from minnow trap sampling within seagrass in Summer 2017 in Back Sound, North Carolina (Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_780027) |
| Information: | Summary
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| FGDC
| ISO 19115
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Attributes {
s {
Date {
String bcodmo_name "date";
String description "Date minnow trap deployed (ISO 8601 format yyyy-mm-dd)";
String long_name "Date";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
String source_name "Date";
String time_precision "1970-01-01";
String units "unitless";
}
SiteID {
String bcodmo_name "site";
String description "Name of seagrass bed in which trap 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";
}
MinnowTrap_Num {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 4;
String bcodmo_name "replicate";
String description "Replicate number of minnow trap";
String long_name "Minnow Trap Num";
String units "unitless";
}
Species {
String bcodmo_name "common_name";
String description "Common name of species caught";
String long_name "Species";
String units "unitless";
}
Scientific_name {
String bcodmo_name "taxon";
String description "Scientific name of species caught";
String long_name "Scientific Name";
String units "unitless";
}
Species_Num {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 0, 33;
String bcodmo_name "count";
String description "Count number of individuals of a species caught in a minnow trap";
String long_name "Species Num";
String units "per individual";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
String acquisition_description
"For Table and Figure references below, see the document
\"MinnowTrap_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).
Seagrass-associated Fauna Sampling
Seagrass-associated fauna were sampled to explore relationships between our
observed predation/depredation rates and seasonal faunal densities within each
fragmentation state. We sampled seagrass-associated fauna during each crab
tethering cycle with four baited (with ~ 8 pieces of dried dog food; Mahoney
et al. 2018) Gee-style minnow traps (41-cm long, 22-cm wide, 0.3-cm galvanized
mesh-wire cylinders, with 4-cm diameter funneled openings) haphazardly
deployed in each landscape. We acknowledge that baiting traps increases catch
rates in our system and could bias the captured community toward predators and
scavengers (our target community), yet this increase in catch rate seems to be
uniform across seagrass habitat structure variables (Mahoney et al. 2018). At
24 h, faunae were enumerated, identified to the lowest taxonomical level
possible, and released.
Point measurements of water temperature (C) were taken in each landscape at
the location and time of all faunal sampling using 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:
* Generic brand dog food
* Memphis and twine Gee-style minnow traps (41-cm long, 22-cm wide, 0.3-cm
galvanized mesh-wire cylinders, with 4-cm diameter funneled openings)";
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
"Seagrass fauna counts - Minnowtrap data
PI: Joel Fodrie
Data Version 1: 2019-10-29";
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 "2019-10-29T19:00:27Z";
String date_modified "2019-11-13T18:25:00Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.780027.1";
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
"2024-11-23T16:48:40Z (local files)
2024-11-23T16:48:40Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_780027.html";
String infoUrl "https://www.bco-dmo.org/dataset/780027";
String institution "BCO-DMO";
String instruments_0_dataset_instrument_description "Memphis and twine Gee-style minnow traps (41-cm long, 22-cm wide, 0.3-cm galvanized mesh-wire cylinders, with 4-cm diameter funneled openings)";
String instruments_0_dataset_instrument_nid "780121";
String instruments_0_description "shore fishing gear";
String instruments_0_instrument_name "minnow trap";
String instruments_0_instrument_nid "679340";
String keywords "bco, bco-dmo, biological, C_F, chemical, data, dataset, date, dmo, erddap, latitude, longitude, management, minnow, MinnowTrap_Num, name, num, oceanography, office, preliminary, scientific, Scientific_name, site, SiteID, species, Species_Num, time, trap";
String license "https://www.bco-dmo.org/dataset/780027/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/780027";
Float64 Northernmost_Northing 34.703251;
String param_mapping "{'780027': {'lat': 'master - latitude', 'lon': 'master - longitude'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/780027/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 "Fauna species count data from minnow trap sampling within seagrass in Summer 2017 in Back Sound, North Carolina.";
String title "[Seagrass fauna counts] - Fauna species count data from minnow trap sampling within seagrass in Summer 2017 in Back Sound, North Carolina (Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms)";
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.