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Dataset Title:  Disease incidence survey and site descriptions on Abaco Island, Bahamas in
2015-2016 (Mangrove Die-off project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_653909)
Range: longitude = -77.92 to -74.4601°E, latitude = 23.9631 to 26.9194°N
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | 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 {
  location {
    String bcodmo_name "site";
    String description "location of survey";
    String long_name "Location";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 23.9631, 26.9194;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude";
    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 -77.92, -74.4601;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude";
    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";
  }
  lesionedLeaves_count {
    String bcodmo_name "count";
    String description "number of leaves with lesions present";
    String long_name "Lesioned Leaves Count";
    String units "count";
  }
  deadTrees_presence {
    String bcodmo_name "site_descrip";
    String description "indication of whether or not dead trees were present at the site";
    String long_name "Dead Trees Presence";
    String units "unitless";
  }
  site_description {
    String bcodmo_name "site_descrip";
    String description "description of site";
    String long_name "Site Description";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description "A preliminary observational survey of the incidence of mangrove disease.";
    String awards_0_award_nid "653796";
    String awards_0_award_number "OCE-1541637";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1541637";
    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 
"Site Descriptions 
   Craig Layman, PI 
   Version 11 August 2016";
    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 "2016-08-11T20:11:36Z";
    String date_modified "2019-05-22T15:17:27Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.653909.1";
    Float64 Easternmost_Easting -74.4601;
    Float64 geospatial_lat_max 26.9194;
    Float64 geospatial_lat_min 23.9631;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -74.4601;
    Float64 geospatial_lon_min -77.92;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-03-29T11:58:52Z (local files)
2024-03-29T11:58:52Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_653909.das";
    String infoUrl "https://www.bco-dmo.org/dataset/653909";
    String institution "BCO-DMO";
    String keywords "bco, bco-dmo, biological, chemical, count, data, dataset, dead, deadTrees_presence, description, dmo, erddap, latitude, leaves, lesioned, lesionedLeaves_count, longitude, management, oceanography, office, preliminary, presence, site, site_description, trees";
    String license "https://www.bco-dmo.org/dataset/653909/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/653909";
    Float64 Northernmost_Northing 26.9194;
    String param_mapping "{'653909': {'lat': 'master - latitude', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/653909/parameters";
    String people_0_affiliation "North Carolina State University";
    String people_0_affiliation_acronym "NCSU";
    String people_0_person_name "Craig Layman";
    String people_0_person_nid "51691";
    String people_0_role "Lead Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "North Carolina State University";
    String people_1_affiliation_acronym "NCSU";
    String people_1_person_name "Craig Layman";
    String people_1_person_nid "51691";
    String people_1_role "Contact";
    String people_1_role_type "related";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Hannah Ake";
    String people_2_person_nid "650173";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "Mangrove Die-off";
    String projects_0_acronym "Mangrove Die-off";
    String projects_0_description 
"Foundation species are those that form the basis for entire ecosystems, substantially altering the physical and biological characteristics of the areas in which they are found. Mangroves are one of the most conspicuous groups of foundation species, providing numerous ecosystems services which we highly value, e.g., habitat for ecologically and economically important species, shoreline stablilization and carbon storage. As such, global declines in mangroves is of upmost concern. For example, an extensive die-off of dwarf red mangrove has been identified in a remote area on the west side of Abaco Island, The Bahamas. Because of its remote nature of the site, the die-off is unlikely to be directly due to human activities. Despite its largely inaccessible nature, the area is ecologically and economically important, e.g., it is the primary bonefishing area on Abaco - an industry worth more than $150 million annually in The Bahamas. Therefore, it is of pressing concern for stakeholders in The Bahamas to identify the underlying cause(s) of decline and assess potential threat to mangroves in other areas. To do so, a series of activities will be carried out, included widespread surveys for a recently identified fungal pathogen, laboratory efforts to isolate and identify this pathogen, satellite imagery mapping activities, and simulated grazing experiments. The area in which the die-off is occurring is currently being considered for designation as a national park by the Bahamian National Trust (BNT). The results of the study will be directly communicated to the BNT and will be used to make immediate management decisions. In collaboration with two Bahamian environmental NGOs, Friends of the Environment and Bahamas Reef Environmental Education Foundation (BREEF), a citizen science-based survey for fungal lesions, as well as an educational module on mangrove ecology, will be designed. The data from the citizen-science and student surveys will be integrated in a map of the incidence of the lesions across The Bahamas. The citizen-science component, and interaction with bonefish guides, provides the opportunity to further integrate science and education. The educational module will be introduced at the BREEF summer teaching training workshop in July. This annual event typically includes 30 teachers from 10 islands. The investigators will continue to make all of our research findings immediately available and accessible to the public through the Abaco Scientist website (http://appliedecology.cals.ncsu.edu/absci/).
Provisioning of ecosystem services in the coastal realm is largely mediated by foundation species, such as mangroves, coral and salt marsh grasses. Many of these species are undergoing substantial declines throughout the world. These declines are often driven by complex, interacting, stressors that may be difficult to identify and elucidate. Despite the difficulty, unraveling such mechanistic drivers is essential for stemming declines and developing management strategies for these ecosystems. Mangroves provide many highly valued ecosystem services to coastal communities, yet worldwide these forests are rapidly declining. Much of this loss is related to various human activities along coastlines, but natural ecological mechanisms contribute to declines in many areas as well. An extensive die-off of dwarf red mangrove (Rhizophora mangle) was observed in a remote area on the west side of Abaco Island, The Bahamas. Preliminary observations suggest the die-off may be due to a combination of fungal pathogens, grazing, and physical stress. This combination of stressors is strikingly parallel to the drivers of salt marsh decline on the East and Gulf coasts of the U.S. To date, different fungal strains from mangrove leaves have been identified. One fungus is a species of Pestalotiopsis, an Ascomycete fungus, and members of this genus are known plant pathogens. There are also high densities of a nocturnally active herbivorous cricket (Tafilasca eleuthera) in die-off areas. It is unclear whether this species has recently colonized the area, is increasing in density, or both. In addition, high salinities in the sediment porewater in the die-off area suggest another potential stressor for the plants. A series of observations and experimental studies will be used to examine potential mechanistic drivers of the mangrove die-off. First, the extent of the die-off areas will be mapped using aerial surveys conducted with a GPS-integrated drone equipped with a video camera. Progression of the die-off will be examined with historical spectral profiles of mangroves from 1980s-present (on an annual basis) using Landsat satellite data. Second, the incidence of lesions on mangroves across Abaco Island and throughout The Bahamas will be explored using a series of citizen science initiatives. Third, identification of fungi will require DNA sequencing and examination of the morphology of fungal spores/conidia at North Carolina State University. Fourth, maintenance of a grazer exclusion experiment near the die-off location will provide an assessment of the role of herbivory in this system. Finally, simulated grazing scar experiments will be used to assess if grazing can indeed facilitate fungal infections.";
    String projects_0_end_date "2016-04";
    String projects_0_geolocation "Abaco Island, The Bahamas";
    String projects_0_name "An interdisciplinary approach to elucidating the causes of widespread mangrove die-off";
    String projects_0_project_nid "653797";
    String projects_0_start_date "2015-05";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 23.9631;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "location";
    String summary "Disease incidence survey and site descriptions on Abaco Island, Bahamas in 2015-2016 (Mangrove Die-off project)";
    String title "Disease incidence survey and site descriptions on Abaco Island, Bahamas in 2015-2016 (Mangrove Die-off project)";
    String version "1";
    Float64 Westernmost_Easting -77.92;
    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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