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Dataset Title:  Epibenthic community percent cover in Aleutian Island kelp forests, June 2016
and July 2017 (Kelp Forest Ecosystem Engineer Loss project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_728099)
Range: longitude = -179.30663 to -167.62222°E, latitude = 51.40996 to 53.39239°N
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Island {
    String bcodmo_name "site";
    String description "island name";
    String long_name "Island";
    String units "unitless";
  }
  Habitat {
    String bcodmo_name "site";
    String description "type of habitat: kelp; barren; transition";
    String long_name "Habitat";
    String units "unitless";
  }
  Region {
    String bcodmo_name "region";
    String description "East-west sampling region";
    String long_name "Region";
    String units "unitless";
  }
  Year {
    Int16 _FillValue 32767;
    Int16 actual_range 2016, 2017;
    String bcodmo_name "year";
    String description "sampling year";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  Site {
    String bcodmo_name "site";
    String description "sampling site identifer";
    String long_name "Site";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 51.40996, 53.39239;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude; north is positive";
    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 -179.30663, -167.62222;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude; east is positive";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String source_name "Long";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Quad {
    Byte _FillValue 127;
    Byte actual_range 1, 20;
    String bcodmo_name "sample";
    String description "quadrat identifier";
    String long_name "Quad";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  sample {
    String bcodmo_name "sample";
    String description "samplerat identifier";
    String long_name "Sample";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  Holdfast_cover {
    Byte _FillValue 127;
    Byte actual_range 0, 80;
    String bcodmo_name "cover_pcent";
    String description "percent cover of holdfasts";
    String long_name "Holdfast Cover";
    String units "unitless";
  }
  Suspension_Feeders_cover {
    Byte _FillValue 127;
    Byte actual_range 0, 90;
    String bcodmo_name "cover_pcent";
    String description "percent cover of suspension_feeders";
    String long_name "Suspension Feeders Cover";
    String units "unitless";
  }
  Encrusting_Corralline_cover {
    Byte _FillValue 127;
    Byte actual_range 0, 98;
    String bcodmo_name "cover_pcent";
    String description "percent cover of encrusting coralline organisms";
    String long_name "Encrusting Corralline Cover";
    String units "unitless";
  }
  Clathromorphum_cover {
    Byte _FillValue 127;
    Byte actual_range 0, 98;
    String bcodmo_name "cover_pcent";
    String description "percent cover of Clathromorphum";
    String long_name "Clathromorphum Cover";
    String units "unitless";
  }
  BareRock_cover {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 96.0;
    String bcodmo_name "cover_pcent";
    String description "percent cover of bare rock";
    String long_name "Bare Rock Cover";
    String units "unitless";
  }
  Codium_cover {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 70.0;
    String bcodmo_name "cover_pcent";
    String description "percent cover of Codium";
    String long_name "Codium Cover";
    String units "unitless";
  }
  Other_cover {
    Byte _FillValue 127;
    Byte actual_range 0, 100;
    String bcodmo_name "cover_pcent";
    String description "percent cover of other categories";
    String long_name "Other Cover";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Sampling locations were from the Aleutian Archipelago nearshore between
longitude 173.9 and -167.6 in June 2016 and July 2017. The average depth 17.5
ft.
 
To assess community structure at each site, two methods were used. First, to
quantify the remainder of the epibenthic community, ten 0.25 m2 quadrats were
haphazardly placed within each site. Within these quadrats, the percent bottom
cover was visually estimated for bare substrate, kelp holdfasts, suspension
feeders, pulvinate green algae (Codium spp.), and non-geniculate coralline
algae - with differentiation made between Clathromorphum spp. and other
encrusting coralline species.
 
Following visual estimation, all epibenthic organisms\\u2014excepting those
strongly adhered to the substrate (e.g., barnacles, non-geniculate coralline
algae, etc.)\\u2014 were scraped from the substrate and placed in fine mesh
collection bags for shipboard identification, and abundance and biomass
determination. Second, three 10 m x 2 m swaths were placed haphazardly within
each site. Within each swath, E. fistulosa stipes were counted, midwater and
demersal fishes visually quantified by trained divers, and all conspicuous,
sparsely distributed, large, mobile invertebrates (i.e., sea stars, crab, and
large gastropods with distributions assumed to be less than 1 per 2.5 m2, the
total area covered by the above quadrats) were collected in fine mesh bags for
shipboard abundance and biomass determination. Once onboard, organisms were
identified to the lowest possible taxa, counted (if the species occur as
discrete individuals) and weighed using hanging spring scales to determine
biomass to the nearest .005 kg. Ambiguous or difficult to identify individuals
were preserved in 10% formalin (for invertebrates) or pressed (for algae) for
later identification.";
    String awards_0_award_nid "709510";
    String awards_0_award_number "OCE-1435205";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1435205";
    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 awards_1_award_nid "709515";
    String awards_1_award_number "OCE-1435194";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1435194";
    String awards_1_funder_name "NSF Division of Ocean Sciences";
    String awards_1_funding_acronym "NSF OCE";
    String awards_1_funding_source_nid "355";
    String awards_1_program_manager "Michael E. Sieracki";
    String awards_1_program_manager_nid "50446";
    String cdm_data_type "Other";
    String comment 
"Percent cover of epibenthic community  
   Aleutian Island kelp forest, 2016-2017 
   PI's: M. Edwards (SDSU), B. Konar, J. Metzger (UAF) 
   version: 2018-02-14";
    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 "2018-02-21T13:51:05Z";
    String date_modified "2019-12-11T17:24:09Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.728099.1";
    Float64 Easternmost_Easting -167.62222;
    Float64 geospatial_lat_max 53.39239;
    Float64 geospatial_lat_min 51.40996;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -167.62222;
    Float64 geospatial_lon_min -179.30663;
    String geospatial_lon_units "degrees_east";
    String history 
"2020-11-29T19:10:37Z (local files)
2020-11-29T19:10:37Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_728099.das";
    String infoUrl "https://www.bco-dmo.org/dataset/728099";
    String institution "BCO-DMO";
    String instruments_0_acronym "Scale";
    String instruments_0_dataset_instrument_description "Used to weigh specimens for biomass determination.";
    String instruments_0_dataset_instrument_nid "728108";
    String instruments_0_description "An instrument used to measure weight or mass.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB13/";
    String instruments_0_instrument_name "Scale";
    String instruments_0_instrument_nid "714";
    String instruments_0_supplied_name "hanging spring scales";
    String keywords "bare, BareRock_cover, bco, bco-dmo, biological, chemical, clathromorphum, Clathromorphum_cover, codium, Codium_cover, corralline, cover, data, dataset, dmo, encrusting, Encrusting_Corralline_cover, erddap, feeders, habitat, holdfast, Holdfast_cover, island, latitude, longitude, management, oceanography, office, Other_cover, preliminary, quad, region, rock, sample, site, suspension, Suspension_Feeders_cover, year";
    String license "https://www.bco-dmo.org/dataset/728099/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/728099";
    Float64 Northernmost_Northing 53.39239;
    String param_mapping "{'728099': {'Lat': 'flag - latitude', 'Long': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/728099/parameters";
    String people_0_affiliation "San Diego State University";
    String people_0_affiliation_acronym "SDSU";
    String people_0_person_name "Matthew Edwards";
    String people_0_person_nid "51390";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of Alaska Fairbanks";
    String people_1_affiliation_acronym "UAF";
    String people_1_person_name "Brenda Konar";
    String people_1_person_nid "51388";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "University of Alaska Fairbanks";
    String people_2_affiliation_acronym "UAF";
    String people_2_person_name "Jacob R. Metzger";
    String people_2_person_nid "727068";
    String people_2_role "Contact";
    String people_2_role_type "related";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Nancy Copley";
    String people_3_person_nid "50396";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "Kelp Forest Ecosystem Engineer Loss";
    String projects_0_acronym "Kelp Forest Ecosystem Engineer Loss";
    String projects_0_description 
"NSF abstract: 
In many ecosystems the presence of a single dominant species can modify the physical conditions of the environment and alter patterns of biodiversity, nutrient cycling, and primary production. Losses of these \"ecosystem engineers\" can have profound impacts to how ecosystems function. Coastal kelps provide excellent examples of organisms whose structure modifies the physical characteristics of their habitats (light, nutrients, water motion) and supports enhanced biodiversity. The kelp forests in the coastal waters of the Aleutian Archipelago have suffered large-scale declines over the past several decades. This project will examine how these losses impact patterns of ecosystem production and biodiversity using a combination of techniques ranging from in situ benthic chambers and shipboard incubations to remote sensing using satellite imagery. The results will provide an understanding of how such events may impact this and other ecosystems. This project will support graduate students and will introduce the public to the Aleutian ecosystems in a series of videos. The investigators will also work with a San Diego high school teacher to integrate project findings into classroom activities, and they expect to involve a teacher in their field program.
The investigators will ask two highly integrated questions: 1) How do the widespread losses of kelp forests impact benthic productivity across the Aleutian Archipelago? 2) How do the widespread losses of kelp forests impact benthic biodiversity and community structure across the archipelago? To address these, the investigators will estimate changes to productivity at ten islands where they have historic data on seaweed community composition and estimates of kelp canopy cover. They will use in situ benthic chambers placed in both kelp forests and urchin barrens to measure plot-scale patterns of net ecosystem productivity (NEP), and shipboard incubations to examine net primary productivity (NPP) for the dominant macroalgae. Data for individual species rates of NPP will be scaled by their biomass and combined with in situ plot-scale benthic chamber experiments of whole communities to estimate NEP at the islands visited. These estimates will be scaled up to calculate NEP across the entire archipelago by first extrapolating results from the study sites to entire islands, and then across the archipelago. They will also estimate broad-scale patterns in production by characterizing water column irradiances across the archipelago and modeling NPP using species-level relationships between irradiance and photosynthesis. Coupling these with estimates of water column irradiance and community respiration will allow modeling of NEP across this region. Benthic biodiversity will be assessed using diver surveys and shipboard benthic trawls. Following these activities, satellite remote sensing of the kelp canopies dating back to the 1980s and the investigators' own historical data on benthic macroalgal abundances at these and other islands will be used to estimate the temporal and spatial patterns of change across the archipelago.
For more information see:
Project blog: http://sdsukelp.weebly.com/blog
Project website: http://www.uaf.edu/cfos/research/projects/collaborative-research--/";
    String projects_0_end_date "2018-08";
    String projects_0_geolocation "Aleutian Islands Alaska (Attu Island to Unalaska)";
    String projects_0_name "Collaborative Research: Changes in ecosystem production and benthic biodiversity following the widespread loss of an ecosystem engineer";
    String projects_0_project_nid "709511";
    String projects_0_project_website "http://sdsukelp.weebly.com/blog";
    String projects_0_start_date "2015-09";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 51.40996;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Epibenthic community percent cover in Aleutian Island kelp forests, June 2016 and July 2017";
    String title "Epibenthic community percent cover in Aleutian Island kelp forests, June 2016 and July 2017 (Kelp Forest Ecosystem Engineer Loss project)";
    String version "1";
    Float64 Westernmost_Easting -179.30663;
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

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.


 
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