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Dataset Title:  Kelp forest community surveys on invertebrate and algal density from nearshore
in Monterey and Carmel starting in 1999 (Kelp Forest Resilience project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_661081)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 year (unitless) ?          1999    2016
 site (unitless) ?          "ASILOMAR"    "WESTON"
 side (unitless) ?          "CEN"    "UC"
 latitude (degrees_north) ?          36.397717    36.640454
  < slider >
 longitude (degrees_east) ?          -121.982468    -121.894574
  < slider >
 zone (unitless) ?          "INNER"    "OUTER"
 transect (unitless) ?          1    3
 depth (m) ?          3.4    23.0
  < slider >
 date (unitless) ?          19990907    20161102
 classcode (unitless) ?          "ALAMAR"    "URTSPP"
 count (count) ?          0    5750
 size (centimeters (cm)) ?          1.0    233.0
 notes (unitless) ?          "*HEADING= PINNACLE..."    "WHAT'S THE DEAL WI..."
 
Server-side Functions ?
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? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")

File type: (more info)

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 1999, 2016;
    String bcodmo_name "year";
    String description "The year that the survey was done. This date is expressed in YYYY format. Dates reflect measurements taken in Local Time.";
    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 "The unique site code where the survey was performed. This site code refers to a specific GPS location defined by a bounding box and is  likely associated with a placename (i.e there may be multiple sitecodes at the 'Jalama Beach' placename).";
    String long_name "Site";
    String units "unitless";
  }
  side {
    String bcodmo_name "site";
    String description "A division of the site into two or three areas; referred to as sides. Sides may be East (E); West (W); South (S);  North (N); CEN (central)";
    String long_name "Side";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 36.397717, 36.640454;
    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 -121.982468, -121.894574;
    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 standard_name "longitude";
    String units "degrees_east";
  }
  zone {
    String bcodmo_name "site";
    String description "A division of the side into 2 or 4 categories representing onshore-offshore stratification or targeted bottom depths for transects.  Zones may be INNER; INMID; OUTMID; OUTER.";
    String long_name "Zone";
    String units "unitless";
  }
  transect {
    Byte _FillValue 127;
    Byte actual_range 1, 3;
    String bcodmo_name "transect";
    String description "A number representing one of the parallel transects through the sitearea along which are located the sampling segments.";
    String long_name "Transect";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 3.4, 23.0;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Average depth of the transect estimated by the diver. Each level is measured.";
    String ioos_category "Location";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  date {
    Int32 _FillValue 2147483647;
    Int32 actual_range 19990907, 20161102;
    String bcodmo_name "date";
    String description "The date that the survey was done. This date is expressed in YYYYmmdd format. Dates reflect measurements taken in Local Time.";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String units "unitless";
  }
  classcode {
    String bcodmo_name "species";
    String description "The unique taxonomic or functional classification code that is being counted as defined in the PISCO classification table. This refers to a code that defines the Genus and Species.  See \"Species Key\" dataset for definitions.";
    String long_name "Classcode";
    String units "unitless";
  }
  count {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 5750;
    String bcodmo_name "count";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "The count of the species or class indicated by the class code. The count is the number of points which fall on the identified classcode at 1m intervals along the transect tape.";
    String long_name "Count";
    String units "count";
  }
  size {
    Float32 _FillValue NaN;
    Float32 actual_range 1.0, 233.0;
    String bcodmo_name "length";
    String description "The size of  an individual or group of individuals (of the same length).  When referring to giant kelp (Macrocystis) size indicates the number of stipes per plant at 1m above bottom.";
    String long_name "Size";
    String units "centimeters (cm)";
  }
  notes {
    String bcodmo_name "comment";
    String description "Notes and field observations.";
    String long_name "Notes";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Sampling consists of visual surveys of the density (number per 60m2) of all
non-cryptic sessile and mobile solitary invertebrates and macroalgae by SCUBA
divers. In addition, sizes of select species (sea urchins, abalone, giant
kelp) are recorded. Surveys are conducted at sites distributed throughout the
study region (Carmel Bay and southern Monterey Bay). Each sample site is
divided into three \\\"zones\\\" (by depth - 20m, 12.5m, 5m - or from offshore to
inshore at sites with little depth variation) to assure that samples are
distributed across the face of a reef from inshore to offshore. Where
possible, taxa (or taxonomic categories) are enumerated on six transects
stratified across the three depth strata (two per stratum) per site (typically
a 100m length of coastline, extending from onshore to the 20m isobath). Each
\\\"transect\\\" is a 2m x 30m swath haphazardly located within one of the three
depth strata.\\u00a0 Transects within a stratum are separated end-to-end by
approximately 5m. Sampling of each transect is conducted by three divers
simultaneously. One diver records the number of individual invertebrates and
macroalgae within each of three 10m-long segments of the 60m2\\u00a0swath. A
second diver records the organism and substratum type beneath each of 30
points uniformly distributed along the 30m length of the transect (i.e. 1.0m
increments) and the vertical relief (highest to lowest height of the reef
surface) within a 0.5m long by 1m wide area centered on each uniform
point.\\u00a0 A third diver records the number and size of sea urchins and
abalone within each of the 10m long segments of the 60m2\\u00a0swath. High
densities of any species are enumerated by recording the distance along the
transect at which 30 individuals are recorded within each 10m segment of the
30m-long transect. Surveys are designed to measure year-to-year site-wide
variability in species density or percent cover, from which community
structure and interannual dynamics are derived.\\u00a0";
    String awards_0_award_nid "653037";
    String awards_0_award_number "OCE-1538582";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1538582";
    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 
"Community Survey Density Data 
  M. Carr and T. Tinker, PIs 
  Version 20 November 2017";
    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 "2016-10-06T21:35:43Z";
    String date_modified "2019-04-22T20:37:41Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.661081.1";
    Float64 Easternmost_Easting -121.894574;
    Float64 geospatial_lat_max 36.640454;
    Float64 geospatial_lat_min 36.397717;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -121.894574;
    Float64 geospatial_lon_min -121.982468;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 23.0;
    Float64 geospatial_vertical_min 3.4;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2022-08-12T23:27:19Z (local files)
2022-08-12T23:27:19Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_661081.html";
    String infoUrl "https://www.bco-dmo.org/dataset/661081";
    String institution "BCO-DMO";
    String keywords "bco, bco-dmo, biological, chemical, classcode, count, data, dataset, date, depth, dmo, erddap, latitude, longitude, management, notes, oceanography, office, preliminary, side, site, size, transect, year, zone";
    String license "https://www.bco-dmo.org/dataset/661081/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/661081";
    Float64 Northernmost_Northing 36.640454;
    String param_mapping "{'661081': {'lat': 'master - latitude', 'depth': 'flag - depth', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/661081/parameters";
    String people_0_affiliation "University of California-Santa Cruz";
    String people_0_affiliation_acronym "UC Santa Cruz";
    String people_0_person_name "Mark Carr";
    String people_0_person_nid "51504";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of California-Santa Cruz";
    String people_1_affiliation_acronym "UC Santa Cruz";
    String people_1_person_name "Tim Tinker";
    String people_1_person_nid "51505";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "University of California-Santa Cruz";
    String people_2_affiliation_acronym "UC Santa Cruz";
    String people_2_person_name "Mark Carr";
    String people_2_person_nid "51504";
    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 "Hannah Ake";
    String people_3_person_nid "650173";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "Kelp_Forest_Resilience";
    String projects_0_acronym "Kelp_Forest_Resilience";
    String projects_0_description 
"A key goal of ecology is to understand how species interactions -- competition, predation, mutualism -- influence the structure (e.g., biodiversity) and functions (e.g., productivity) of ecological communities and contribute to the stability and resilience of ecosystems. Kelp forests along the West Coast of North America have been a model ecosystem in which marine ecologists have explored these questions. That work has provided evidence that predators, including sea otters, sea stars, and fishes, can be important in controlling sea urchins that otherwise overgraze forests and create alternative \"barrens\" states, devoid of kelp. However, other examples suggest that disease and disturbance, not predators, suppress urchin overgrazing. Here we employ experiments and surveys to determine whether and how sea otters and sea stars act separately and in combination to control the rapid growth of sea urchin populations that is occurring in concert with a sea star \"wasting\" epidemic along the West Coast of North America. The results of this work will (i) advance our understanding of how multiple predators interact to influence community structure, stability and resilience, and (ii) shed light on how species interactions contribute to the stability of these forests that are the foundation of productive commercial and recreational fisheries. The project will involve citizen scientists contributing to surveys of sea otter abundance, foraging behavior and diet, and underrepresented (largely Latino) undergraduates and results will be disseminated in several public outreach facilities and K-12 educational programs.
This project will advance our understanding of the combined roles of species diversity and predators in contributing to the stability and resilience of community structure. Though both predators and diversity have been the focus of numerous studies, fewer have explored how predator diversity does or does not enhance the resilience of marine ecosystems. The investigators will determine the relative contributions of southern sea otters (Enyhda lutris lutris) and two species of sea stars (Pycnopodia helianthoides and Pisaster giganteus) in controlling the density and size structure of two prey species, the purple sea urchin (Strongylocentrotus purpuratus) and a snail (Promartynia pulligo), and the cascading effects on survival and density of giant kelp (Macrocystis pyrifera). Orthogonal manipulations of predator access in large field enclosures/exclosures will be used to assess the relative roles of redundancy, complementarity and \"sampling effect\" (i.e. particular importance of either species) among the two predators on both direct mortality and indirect (trait-mediated) foraging behavior of their prey. The PIs will evaluate whether results from the experiments \"scale up\" to explain geographic variation in the relative densities of predators (otters and stars), prey (urchins) and the major primary producer (giant kelp) and the ability of sea otters to compensate for declines in sea stars to control the rapid growth in purple sea urchin populations that can otherwise cause phase shifts (forests to barrens) of these ecosystems.";
    String projects_0_end_date "2018-07";
    String projects_0_geolocation "Monterey Bay and Carmel Bay, California; 36 N, 121 W";
    String projects_0_name "Kelp forest community resilience in action: adaptive responses of predators to a disease-driven food web perturbation";
    String projects_0_project_nid "653038";
    String projects_0_start_date "2015-08";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 36.397717;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Kelp forest community surveys on invertebrate and algal density from nearshore in Monterey and Carmel starting in 1999 (Kelp Forest Resilience project)";
    String title "Kelp forest community surveys on invertebrate and algal density from nearshore in Monterey and Carmel starting in 1999 (Kelp Forest Resilience project)";
    String version "1";
    Float64 Westernmost_Easting -121.982468;
    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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