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Dataset Title:  Green crab size based predation trials conducted in laboratory mesocosms at
Romberg Tiburon Center, Tiburon, CA in 2015
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_701987)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 trial_number (unitless) ?          2    10
 time_point (unitless) ?          0    3
 date (unitless) ?          "2015-06-15"    "2015-08-07"
 tank_number (unitless) ?          1    9
 tub_number (unitless) ?          "SRT 16"    "SRT18"
 predator_size (millimeters (mm)) ?          7    82
 origin (unitless) ?          "BML"    "Seadrift"
 time2 (Time, unitless) ?          "0728"    "1620"
 prey_found (unitless) ?          0    5
 prey_size_1 (millimeters (mm)) ?          6    48
 prey_size_2 (millimeters (mm)) ?          6    54
 prey_size_3 (millimeters (mm)) ?          6    49
 prey_size_4 (millimeters (mm)) ?          5    52
 prey_size_5 (millimeters (mm)) ?          6    51
 notes (unitless) ?          "1 BROKEN SMALL CAR..."    "piece of carapace;..."
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  trial_number {
    Byte _FillValue 127;
    Byte actual_range 2, 10;
    String bcodmo_name "exp_id";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Trial number (2-10)";
    String long_name "Trial Number";
    String units "unitless";
  }
  time_point {
    Byte _FillValue 127;
    Byte actual_range 0, 3;
    String bcodmo_name "time_point";
    String description "Observation points 1-3";
    String long_name "Time Point";
    String units "unitless";
  }
  date {
    String bcodmo_name "date";
    String description "Calendar date (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";
  }
  tank_number {
    Byte _FillValue 127;
    Byte actual_range 1, 9;
    String bcodmo_name "tank";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Number identifying the tank. There was one tank for each set of one predator and five prey crabs, with three tanks in each of three larger tubs";
    String long_name "Tank Number";
    String units "unitless";
  }
  tub_number {
    String bcodmo_name "tank";
    String description "Number identifying the tub. There were three tubs each containing three tanks.";
    String long_name "Tub Number";
    String units "unitless";
  }
  predator_size {
    Byte _FillValue 127;
    Byte actual_range 7, 82;
    String bcodmo_name "width";
    String description "Carapace width of single large crab in millimeters";
    String long_name "Predator Size";
    String units "millimeters (mm)";
  }
  origin {
    String bcodmo_name "origin";
    String description "Collection location of crabs";
    String long_name "Origin";
    String units "unitless";
  }
  time2 {
    String bcodmo_name "time";
    String description "Time of observation for 'time point' in Pacific time (HHMM)";
    String long_name "Time";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
    String units "unitless";
  }
  prey_found {
    Byte _FillValue 127;
    Byte actual_range 0, 5;
    String bcodmo_name "count";
    String description "Number of prey crabs recorded at time point (NA at time zero because crabs were added then)";
    String long_name "Prey Found";
    String units "unitless";
  }
  prey_size_1 {
    Byte _FillValue 127;
    Byte actual_range 6, 48;
    String bcodmo_name "width";
    String description "Carapace width of prey crab #1";
    String long_name "Prey Size 1";
    String units "millimeters (mm)";
  }
  prey_size_2 {
    Byte _FillValue 127;
    Byte actual_range 6, 54;
    String bcodmo_name "width";
    String description "Carapace width of prey crab #2";
    String long_name "Prey Size 2";
    String units "millimeters (mm)";
  }
  prey_size_3 {
    Byte _FillValue 127;
    Byte actual_range 6, 49;
    String bcodmo_name "width";
    String description "Carapace width of prey crab #3";
    String long_name "Prey Size 3";
    String units "millimeters (mm)";
  }
  prey_size_4 {
    Byte _FillValue 127;
    Byte actual_range 5, 52;
    String bcodmo_name "width";
    String description "Carapace width of prey crab #4";
    String long_name "Prey Size 4";
    String units "millimeters (mm)";
  }
  prey_size_5 {
    Byte _FillValue 127;
    Byte actual_range 6, 51;
    String bcodmo_name "width";
    String description "Carapace width of prey crab #5";
    String long_name "Prey Size 5";
    String units "millimeters (mm)";
  }
  notes {
    String bcodmo_name "comment";
    String description "Additional comments about crabs";
    String long_name "Notes";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"We conducted short-term size-based predation (=cannibalism) experiments in
which five smaller green crabs were placed in a laboratory mesocosm with a
large adult green crab.\\u00a0Size ratios of large to small crabs were
experimentally varied using adult crabs of three size classes and juvenile
crabs as small as were available representing recent recruits. Adult crabs
were starved for 48 hours prior to the trial.\\u00a0Alternate prey in the form
of small clams were also available in the mesocosms.\\u00a0Experiments were run
for 24 hours after which are remaining crabs were retrieved and remeasured.
All crabs were collected from Seadrift Lagoon, CA.\\u00a0
 
See Turner et al. (2016)\\u00a0Biological Invasions\\u00a018: 533-548 for
additional methodological details:  
 Turner, B.C., de Rivera, C.E., Grosholz, E.D., & Ruiz, G.M. 2016. Assessing
population increase as a possible outcome to management of invasive species.
Biological Invasions, 18(2), pp 533\\u2013548.
doi:[10.1007/s10530-015-1026-9](\\\\\"https://dx.doi.org/10.1007/s10530-015-1026-9\\\\\")";
    String awards_0_award_nid "699764";
    String awards_0_award_number "OCE-1514893";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1514893";
    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 "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"Predation Trials 
 PI: Edwin Grosholz (UC Davis) 
 Co-PI: Catherine de Rivera & Gregory Ruiz (Portland State University)  
 Version: 05 June 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 "2017-06-05T20:10:14Z";
    String date_modified "2020-01-21T21:49:24Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.701987.1";
    String history 
"2020-08-05T18:47:04Z (local files)
2020-08-05T18:47:04Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_701987.html";
    String infoUrl "https://www.bco-dmo.org/dataset/701987";
    String institution "BCO-DMO";
    String keywords "bco, bco-dmo, biological, chemical, data, dataset, date, dmo, erddap, found, management, notes, number, oceanography, office, origin, point, predator, predator_size, preliminary, prey, prey_found, prey_size_1, prey_size_2, prey_size_3, prey_size_4, prey_size_5, size, tank, tank_number, time, time2, time_point, trial, trial_number, tub, tub_number";
    String license "https://www.bco-dmo.org/dataset/701987/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/701987";
    String param_mapping "{'701987': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/701987/parameters";
    String people_0_affiliation "University of California-Davis";
    String people_0_affiliation_acronym "UC Davis";
    String people_0_person_name "Edwin Grosholz";
    String people_0_person_nid "699768";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Portland State University";
    String people_1_affiliation_acronym "PSU";
    String people_1_person_name "Catherine de Rivera";
    String people_1_person_nid "699771";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Portland State University";
    String people_2_affiliation_acronym "PSU";
    String people_2_person_name "Gregory Ruiz";
    String people_2_person_nid "471603";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Shannon Rauch";
    String people_3_person_nid "51498";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "Invasive_predator_harvest";
    String projects_0_acronym "Invasive_predator_harvest";
    String projects_0_description 
"The usual expectation is that when populations of plants and animals experience repeated losses to predators or human harvest, they would decline over time. If instead these populations rebound to numbers exceeding their initial levels, this would seem counter-intuitive or even paradoxical. However, for several decades mathematical models of population processes have shown that this unexpected response, formally known as overcompensation, is not only possible, but even expected under some circumstances. In what may be the first example of overcompensation in a marine system, a dramatic increase in a population of the non-native European green crab was recently observed following an intensive removal program. This RAPID project will use field surveys and laboratory experiments to verify that this population explosion results from overcompensation. Data will be fed into population models to understand to what degree populations processes such as cannibalism by adult crabs on juvenile crabs and changes in maturity rate of reproductive females are contributing to or modifying overcompensation. The work will provide important insights into the fundamental population dynamics that can produce overcompensation in both natural and managed populations. Broader Impacts include mentoring graduate trainees and undergraduate interns in the design and execution of field experiments as well as in laboratory culture and feeding experiments. The project will also involve a network of citizen scientists who are involved with restoration activities in this region and results will be posted on the European Green Crab Project website.
This project aims to establish the first example of overcompensation in marine systems. Overcompensation refers to the paradoxical process where reduction of a population due to natural or human causes results in a greater equilibrium population than before the reduction. A population explosion of green crabs has been recently documented in a coastal lagoon and there are strong indications that this may be the result of overcompensation. Accelerated maturation of females, which can accompany and modify the expression of overcompensation has been observed. This RAPID project will collect field data from this unusual recruitment class and conduct targeted mesocosm experiments. These will include population surveys and mark-recapture studies to measure demographic rates across study sites. Laboratory mesocosm studies using this recruitment class will determine size specific mortality. Outcomes will be used in population dynamics models to determine to what degree overcompensation has created this dramatic population increase. The project will seek answers to the following questions: 1) what are the rates of cannibalism by adult green crabs and large juveniles on different sizes of juvenile green crabs, 2) what are the consequences of smaller size at first reproduction for population dynamics and for overcompensation and 3) how quickly will the green crab population return to the levels observed prior to the eradication program five years earlier?";
    String projects_0_end_date "2016-11";
    String projects_0_geolocation "Europe";
    String projects_0_name "RAPID: A rare opportunity to examine overcompensation resulting from intensive harvest of an introduced predator";
    String projects_0_project_nid "699765";
    String projects_0_start_date "2014-12";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Green crab size based predation trials conducted in laboratory mesocosms at Romberg Tiburon Center, Tiburon, CA in 2015.";
    String title "Green crab size based predation trials conducted in laboratory mesocosms at Romberg Tiburon Center, Tiburon, CA in 2015";
    String version "1";
    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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