BCO-DMO ERDDAP
Accessing BCO-DMO data
log in    
Brought to you by BCO-DMO    

ERDDAP > tabledap > Make A Graph ?

Dataset Title:  Marsh consumer diversity effects on multifunctionality from experiments
conducted by manipulating the presence of crabs, snails, and fungus in Spartina
plots on Sapelo Island, Georgia
Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_717035)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
-1+1
 
Constraints ? Optional
Constraint #1 ?
Optional
Constraint #2 ?
       
       
       
       
       
 
Server-side Functions ?
 distinct() ?
? ("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.")
 
Graph Settings
Marker Type:   Size: 
Color: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    [The graph you specified. Please be patient.]

 

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 {
  treat {
    String bcodmo_name "sample_descrip";
    String description "consumers present/absent";
    String long_name "Treat";
    String units "S = snails present,C = crabs present,F = fungus present, NS = no snails,etc";
  }
  rep {
    Byte _FillValue 127;
    Byte actual_range 1, 8;
    String bcodmo_name "number";
    String description "repetition number";
    String long_name "Rep";
    String units "1-8, number of repetition";
  }
  live {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 539.48;
    String bcodmo_name "abundance";
    String description "live biomass at exp end";
    String long_name "Live";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "g of Spartina/ sq meter";
  }
  dead {
    Float32 _FillValue NaN;
    Float32 actual_range 59.68, 499.0;
    String bcodmo_name "abundance";
    String description "dead biomass at exp end";
    String long_name "Dead";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "g of Spartina/ sq meter";
  }
  g_lost {
    Float32 _FillValue NaN;
    Float32 actual_range 1.76, 5.31;
    String bcodmo_name "abundance";
    String description "grams decomposed per month";
    String long_name "G Lost";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "g of Spartina decomposed over 1 month";
  }
  perco {
    Float32 _FillValue NaN;
    Float32 actual_range 1.08, 12.26;
    String bcodmo_name "unknown";
    String description "percolation rate in each plot";
    String long_name "Perco";
    String units "Liters of water absorbed per hour";
  }
  multi {
    Float32 _FillValue NaN;
    Float32 actual_range 0.22, 0.94;
    String bcodmo_name "unknown";
    String description "average multifunctionality (%)";
    String long_name "Multi";
    String units "mean % functioning of all ecosystem functions per plot";
  }
  no_cons {
    Byte _FillValue 127;
    Byte actual_range 0, 3;
    String bcodmo_name "sample_descrip";
    String description "number of consumers per treatment";
    String long_name "No Cons";
    String units "no between 1 and 3";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"We manipulated the presence and absence of all three species in a factorial
design that yielded eight treatments and comprised four levels of diversity:
three consumers (crabs + snails + fungus), two consumers (crabs + snails,
crabs + fungus, snails + fungus), one consumer (crabs or snails or fungus),
and no consumers. Sixty-four plots were selected (mean Spartina density: 120.8
\\u00b1 6.2 stems per m2).
 
Ecosystem Function 1: NPP. To determine the effect of experimental consumer
variety on NPP, net Spartina production was estimated by measuring change in
live aboveground plant mass from the beginning to end of the experiment.
 
Ecosystem Function 2: Decomposition Rate. We quantified the effect of consumer
variety on marsh decomposition rate by deploying a plug consisting of three
dead Spartina stems zip tied to a plastic flag post.
 
Ecosystem Function 3: Infiltration Rate Measurement. We quantified the effect
of consumer variety on marsh infiltration at the conclusion of the experiment
by using a double-ring infiltrometer.
 
Assessing Multifunctionality. To assess whether snail, crab, and fungi
consumers differed in their ability to perform all measured functions
simultaneously, we calculated an average multifunctionality index for each
treatment. This method is a simple technique involving averaging standardized
values of multiple functions into a single index. For each of the three
functions, we used a \\u201cstandardization by maximum observed value\\u201d
approach where we defined maximum functioning as the mean of the highest three
values from all 64 plots in the experiment for each function, giving us one
maximum for each function regardless of treatment. Using this maximum, plot
data were recorded as the percent of that maximum for each function, creating
a scaled \\u201cpercent functioning\\u201d value for each individual plot.
 
See Hensel and Silliman 2013 for detailed methods descriptions.
 
Hensel, M. J. S. & Silliman, B. R. Consumer diversity across kingdoms supports
multiple functions in a coastal ecosystem. Proc Natl Acad Sci USA 110,
20621\\u201320626 (2013).  
 DOI: [10.1073/pnas.1312317110
](\\\\\"http://www.pnas.org/cgi/doi/10.1073/pnas.1312317110\\\\\")";
    String awards_0_award_nid "715716";
    String awards_0_award_number "OCE-1056980";
    String awards_0_data_url "https://www.nsf.gov/awardsearch/showAward?AWD_ID=1056980";
    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 
"The effect of consumer diversity on the ecosystem functioning of salt marshes on Sapelo Island, Georgia 
   PI: M. Hensel (U. Florida) 
   Co-PI: B. Silliman (Duke) 
   Version: 2017-10-17";
    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 "2017-10-17T14:51:38Z";
    String date_modified "2019-06-12T18:19:23Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.717035.1";
    String history 
"2024-04-20T11:27:19Z (local files)
2024-04-20T11:27:19Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_717035.das";
    String infoUrl "https://www.bco-dmo.org/dataset/717035";
    String institution "BCO-DMO";
    String keywords "bco, bco-dmo, biological, chemical, cons, data, dataset, dead, dmo, erddap, g_lost, live, lost, management, multi, no_cons, oceanography, office, perco, preliminary, rep, treat";
    String license "https://www.bco-dmo.org/dataset/717035/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/717035";
    String param_mapping "{'717035': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/717035/parameters";
    String people_0_affiliation "University of Florida";
    String people_0_affiliation_acronym "UF";
    String people_0_person_name "Marc Hensel";
    String people_0_person_nid "717041";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Duke University";
    String people_1_person_name "Brian Silliman";
    String people_1_person_nid "552219";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Megan Switzer";
    String people_2_person_nid "708683";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "small grazers facilitating fungal disease";
    String projects_0_acronym "small grazers facilitating fungal disease";
    String projects_0_description 
"In terrestrial communities, grazer-facilitation of fungal disease in plants has been studied for over a century. Despite the prevalence of this interaction in terrestrial systems, it was not considered relevant to the structure of marine plant communities until the investigator's recent work in salt marshes. By manipulating both grazer and fungal presence, he demonstrated that snail grazing and subsequent fungal infection in live grass led to drastic reductions in plant growth and, at high grazer densities, destruction of canopy. If grazer promotion of fungal disease in marine plants is not limited to marshes (as suggested by preliminary data from a world-wide survey of 4 marine plant ecosystems) then small grazers that take small bites out of plants could be exerting similarly strong, but undetected control over marine plants globally. In addition, since physical stress commonly reduces plant immune responses, intensifying multiple stressors associated with marine global change could intensify and destabilize these unstudied grazer-disease-plant interactions. To test the global generality of this potentially keystone ecological interaction, this project will answer the following questions with a combination of multi-site surveys and manipulations across 4 ecosystems spanning 2 continents: 1) Is grazer facilitation of fungal disease in marine plants a common but overlooked interaction? 2) What is the resultant impact of grazer-facilitated fungal infection on marine plant growth? 3) How do multiple stressors impact the strength of grazer facilitation of fungal disease in marine plants? The work represents a transformative step forward in our understanding of plant-grazer interactions in marine ecosystems as it fills a > 100-year intellectual gap in our understanding of top-down control in marine plant ecosystems: Do small grazers commonly facilitate fungal disease in marine plants and does this interaction suppress plant growth?
Evidence for this cryptic, yet powerful mechanism of grazer regulation of marine plants will compel marine ecologists to reevaluate our understanding of top-down control and lead to widespread integration of disease dynamics in marine food web ecology.
The consequences of marine plant ecosystem health are far-reaching for humans, since these communities provide many essential services. Results from this study will allow managers to better predict effects of disease and global change on marine plant systems and formulate effective strategies for conservation. To help integrate plant disease dynamics into marine ecology and conservation, the investigator will: (1) produce an edited volume on Food Webs and Disease in Marine Ecosystems and (2) work closely with The Nature Conservancy to incorporate findings into their global marine learning exchanges. In addition, an integrated educational plan will increase student: (1) understanding of disease and food web dynamics in marine ecosystems and (2) consideration of marine science careers.";
    String projects_0_end_date "2017-03";
    String projects_0_geolocation "Coastal Plant Ecosystems in North and South America.";
    String projects_0_name "Small Grazers, Multiple Stressors and the Proliferation of Fungal Disease in Marine Plant Ecosystems";
    String projects_0_project_nid "649745";
    String projects_0_start_date "2014-01";
    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 "The effect of consumer diversity on the ecosystem functioning of salt marshes on Sapelo Island, Georgia.";
    String title "Marsh consumer diversity effects on multifunctionality from experiments conducted by manipulating the presence of crabs, snails, and fungus in Spartina plots on Sapelo Island, Georgia";
    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.


 
ERDDAP, Version 2.02
Disclaimers | Privacy Policy | Contact