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Dataset Title:  Laboratory study of estimates of per capita sea urchin grazing rates on
Clathromorphum nereostratum, evaluated as a function of sea urchin size
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_755712)
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 {
  treatment {
    String bcodmo_name "treatment";
    String description "target size class of sea urchin";
    String long_name "Treatment";
    String units "millimeters";
  }
  replicate {
    Byte _FillValue 127;
    Byte actual_range 1, 5;
    String bcodmo_name "replicate";
    String description "replicate individual urchin or alga";
    String long_name "Replicate";
    String units "unitless";
  }
  urchin_diameter_mm {
    Byte _FillValue 127;
    Byte actual_range 15, 57;
    String bcodmo_name "diameter";
    String description "actual size (test diameter) of sea urchin";
    String long_name "Urchin Diameter Mm";
    String units "millimeters";
  }
  urchin_biomass_grams {
    Float32 _FillValue NaN;
    Float32 actual_range 1.3, 69.4;
    String bcodmo_name "biomass";
    String description "biomass of sea urchin; estimated using known length-weight relationship";
    String long_name "Urchin Biomass Grams";
    String units "grams";
  }
  cca_mass_initial_grams {
    Float32 _FillValue NaN;
    Float32 actual_range 4.269, 15.44;
    String bcodmo_name "mass";
    String description "initial mass of coralline alga";
    String long_name "Cca Mass Initial Grams";
    String units "grams";
  }
  cca_mass_final_grams {
    Float32 _FillValue NaN;
    Float32 actual_range 4.208, 13.887;
    String bcodmo_name "mass";
    String description "final mass of coralline alga";
    String long_name "Cca Mass Final Grams";
    String units "grams";
  }
  correction_factor {
    Float32 _FillValue NaN;
    Float32 actual_range 0.985, 0.997;
    String bcodmo_name "unknown";
    String description "correction factor; computed by dividing the final mass of the paired control alga by its initial mass (Cf/Ci)";
    String long_name "Correction Factor";
    String units "unitless";
  }
  corrected_cca_mass_initial_grams {
    Float32 _FillValue NaN;
    Float32 actual_range 4.222, 15.353;
    String bcodmo_name "mass";
    String description "cca_mass_initial_grams * correction_factor";
    String long_name "Corrected Cca Mass Initial Grams";
    String units "grams";
  }
  amount_grams_consumed {
    Float32 _FillValue NaN;
    Float32 actual_range -0.031, 1.466;
    String bcodmo_name "mass";
    String description "amount of coralline algae consumed: corrected_cca_mass_initial_grams minus cca_mass_final_grams";
    String long_name "Amount Grams Consumed";
    String units "grams";
  }
  amount_mg_consumed {
    Float32 _FillValue NaN;
    Float32 actual_range -31.072, 1465.543;
    String bcodmo_name "mass";
    String description "amount of coralline algae consumed";
    String long_name "Amount Mg Consumed";
    String units "millimeters";
  }
  amount_mg_consumed_day {
    Float32 _FillValue NaN;
    Float32 actual_range -3.046, 143.681;
    String bcodmo_name "unknown";
    String description "rate of algal consumption (per day)";
    String long_name "Amount Mg Consumed Day";
    String units "millimeters";
  }
  amount_mg_consumed_d_gram_urchin {
    Float32 _FillValue NaN;
    Float32 actual_range -1.965, 20.483;
    String bcodmo_name "unknown";
    String description "rate of algal consumption (per day): standardized by the biomass of the individual sea urchin";
    String long_name "Amount Mg Consumed D Gram Urchin";
    String units "millimeters";
  }
  max_depth_grazed_mm {
    Float64 _FillValue NaN;
    Float64 actual_range 0.013, 0.2;
    String bcodmo_name "depth";
    String description "maximum depth of sea urchin grazing scar on the coralline alga";
    String long_name "Max Depth Grazed Mm";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String units "millimeters";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"We conducted a controlled laboratory experiment to test whether the capacity
of S. polyacanthus to consume C. nereostratum scales with its size. Conducted
under ambient light and continuous water flow (mean water temperature ~8.5
degrees C), this feeding experiment consisted of five sea urchin size classes
(15-55 mm test diameter; binned in 10 mm size classes, n = 5/size class). Size
classes were evenly distributed among blocks (n = 5), with each block
including a control alga (i.e., C. nereostratum caged alone) to account for
algal growth as well as loss due to factors other than herbivory (see
calculation below). Urchins were individually housed with a single C.
nereostratum colony. We assessed the blotted wet mass of each C. nereostratum
at the beginning of the assay, then again after 10 days. We calculated the
(corrected) amount of C. nereostratum consumed in each assay using the
equation [Ti x (Cf/Ci)] - Tf, where Ti and Tf is the initial and final mass
(respectively) of an alga exposed to herbivory and Ci and Cf is the initial
and final mass (respectively) of its paired control.
 
After computing per capita grazing rate (\\\"amount.mg.consumed/day\\\") for each
urchin, we also standardized each per capita grazing rate by the estimated
biomass (calculated via a known size-weight relationship) of the individual
urchin (\\\"amount.mg.consumed/d/gram.urchin\\\").
 
Finally, we quantified the maximum depth (mm) to which each urchin grazed C.
nereostratum by examining each sample under a microscope and measuring the
depth of the most significant grazing scar using an ocular micrometer.";
    String awards_0_award_nid "526658";
    String awards_0_award_number "PLR-1316141";
    String awards_0_data_url "http://nsf.gov/awardsearch/showAward?AWD_ID=1316141";
    String awards_0_funder_name "NSF Arctic Sciences";
    String awards_0_funding_acronym "NSF ARC";
    String awards_0_funding_source_nid "390";
    String awards_0_program_manager "Henrietta N Edmonds";
    String awards_0_program_manager_nid "51517";
    String cdm_data_type "Other";
    String comment 
"Estimates of per capita sea urchin grazing rates on Clathromorphum nereostratum 
   PI's: Steneck (Umaine), J. Estes (UCSC), D. Rasher (BLOS) 
   version: 2019-02-013";
    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 "2019-02-13T20:50:58Z";
    String date_modified "2019-02-25T20:37:51Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.755712.1";
    String history 
"2024-04-23T12:35:46Z (local files)
2024-04-23T12:35:46Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_755712.das";
    String infoUrl "https://www.bco-dmo.org/dataset/755712";
    String institution "BCO-DMO";
    String keywords "amount, amount_grams_consumed, amount_mg_consumed, amount_mg_consumed_d_gram_urchin, amount_mg_consumed_day, bco, bco-dmo, biological, biomass, cca, cca_mass_final_grams, cca_mass_initial_grams, chemical, consumed, corrected, corrected_cca_mass_initial_grams, correction, correction_factor, data, dataset, day, depth, diameter, dmo, erddap, factor, final, gram, grams, grazed, initial, management, mass, max, max_depth_grazed_mm, oceanography, office, preliminary, replicate, treatment, urchin, urchin_biomass_grams, urchin_diameter_mm";
    String license "https://www.bco-dmo.org/dataset/755712/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/755712";
    String param_mapping "{'755712': {'max_depth_grazed_mm': 'master - depth'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/755712/parameters";
    String people_0_affiliation "University of Maine";
    String people_0_affiliation_acronym "U Maine DMC";
    String people_0_person_name "Robert  S. Steneck";
    String people_0_person_nid "526659";
    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 "James Estes";
    String people_1_person_nid "51389";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Bigelow Laboratory for Ocean Sciences";
    String people_2_person_name "Douglas B. Rasher";
    String people_2_person_nid "480721";
    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 "Nancy Copley";
    String people_3_person_nid "50396";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "OA Kelp Forest Function";
    String projects_0_acronym "OA Kelp Forest Function";
    String projects_0_description 
"Extracted from the NSF award abstract:
Marine calcifying organisms are most at risk to rapid ocean acidification (OA) in cold-water ecosystems. The investigators propose to determine if a globally unique and widespread calcareous alga in Alaska's Aleutian archipelago, Clathromorphum nereostratum, is threatened with extinction due to the combined effects of OA and food web alterations. C. nereostratum is a slow growing coralline alga that can live to at least 2000 years. It accretes massive 'bioherms' that dominate the regions' rocky substrate both under kelp forests and deforested sea urchin barrens. It develops growth bands (similar to tree rings) in its calcareous skeleton, which effectively record its annual calcification rate over centuries. Pilot data suggest the skeletal density of C. nereostratum began to decline precipitously in the 1990's in some parts of the Aleutian archipelago. The investigators now propose to use high-resolution microscopy and microCT imaging to examine how the growth and skeletal density of C. nereostratum has changed in the past 300 years (i.e., since the industrial revolution) across the western Aleutians. They will compare their records of algal skeletal densities and their variation through time with reconstructions of past climate to infer causes of change. In addition, the investigators will examine whether the alga's defense against grazing by sea urchins is compromised by ongoing ocean acidification. The investigators will survey the extent of C. nereostratum bioerosion occurring at 10 sites spanning the western Aleutians, both inside and outside of kelp forests. At each site they will compare these patterns to observed and monitored ecosystem trophic structure and recent C. nereostratum calcification rates. Field observations will be combined with laboratory experiments to determine if it is a decline in the alga's skeletal density (due to recent OA and warming), an increase in grazing intensity (due to recent trophic-level dysfunction), or their interactive effects that are likely responsible for bioerosion patterns inside vs. outside of forests. By sampling C. nereostratum inside and outside of forests, they will determine if kelp forests locally increase pH via photosynthesis, and thus buffer the effects of OA on coralline calcification. The combination of field observations with laboratory controlled experiments, manipulating CO2 and temperature, will help elucidate drivers of calcification and project how these species interactions will likely change in the near future. The project will provide the first in situ example of how ongoing ocean acidification is affecting the physiology of long-lived, carbonate producing organisms in the subarctic North Pacific. It will also be one of the first studies to document whether OA, ocean warming, and food web changes to ecological processes are interacting in complex ways to reshape the outcome of species interactions in nature.";
    String projects_0_end_date "2016-08";
    String projects_0_name "Ocean Acidification:  Century Scale Impacts to Ecosystem Structure and Function of Aleutian Kelp Forests";
    String projects_0_project_nid "526660";
    String projects_0_start_date "2013-09";
    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 "Estimates of per capita sea urchin grazing rates on Clathromorphum nereostratum, evaluated as a function of sea urchin size. Assays were performed under ambient conditions in a controlled mesocosm setting, using the urchin Strongylocentrotus polyacanthus.";
    String title "Laboratory study of estimates of per capita sea urchin grazing rates on Clathromorphum nereostratum, evaluated as a function of sea urchin size";
    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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