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Dataset Title:  Biodiversity of fish feeding groups in Viti Levu, Fiji from 2010-2012 (Killer
Seaweeds project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_674153)
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 {
  status {
    String bcodmo_name "site_descrip";
    String description "Status of area where sampling was done; Marine Protected Area (MPA) or non-MPA (NON)";
    String long_name "Status";
    String units "unitless";
  site {
    String bcodmo_name "site";
    String description "Site name";
    String long_name "Site";
    String units "unitless";
  shannon {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 1.709472777;
    String bcodmo_name "unknown";
    String description "Shannon biodiversity index";
    String long_name "Shannon";
    String units "unitless";
  g {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 203;
    String bcodmo_name "unknown";
    String description "G error";
    String long_name "G";
    String units "unitless";
  day {
    String bcodmo_name "time_point";
    String description "Day that sampling took place within each years sampling event. A B and C all took place in during year A (Dec 2010 - Jan 2011); D E and F all took place during year B (Dec 2011 - Jan 2012)";
    String long_name "Day";
    String units "unitless";
  transect {
    Byte _FillValue 127;
    Byte actual_range 1, 5;
    String bcodmo_name "transect";
    String description "Transect number";
    String long_name "Transect";
    String units "unitless";
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"The study was conducted from November 2010 through February 2011 and between
November 2011 and January 2012 on shallow (~1 m below the surface at low tide,
equal or shallower than 2 m at high tide), intertidal fringing reefs platforms
(up to 800-m wide) along the Coral Coast (18\\u00ba\\u00a013.05\\u2019S,
177\\u00ba\\u00a042.97\\u2019E) of Viti Levu, Fiji\\u2019s main island. Many of
the owners of traditional fishing rights along the Coral Coast have
established small, customary no-take MPAs to improve and sustain their
adjacent fishing grounds. The MPAs in this region are delimited by surface
markings and enforced by local villagers, and they have been closed to all
fishing activities since their inception (about 10 years). The only exception
to this closure was a small experimental hook and line fishing research
project that was conducted in the MPAs of Votua and\\u00a0Namada. In the
\\u00a0non-MPAs, the main fishing targets are species of Acanthuridae
(Nasinae), Epinephelidae, Labridae, Mullidae, and Lutjanidae. Permission for
the research was granted by the Fijian Ministry of Education, National
Heritage, Culture & Arts, Youth & Sports, which is authorized to approve field
studies in Fijian waters. No animal collection or experimental procedures
involving animals were conducted during the study, and no endangered species
were recorded during our assessments.\\u00a0
To assess the effects of MPAs on fish assemblages, fish feeding group
composition, herbivory rates, benthic cover, and coral recruit density, we
compared three spatially paired MPA and adjacent, fished, areas (non-MPAs)
associated with the villages of
Votua,\\u00a0Vatu-o-lalai\\u00a0and\\u00a0Namada.\\u00a0 Comparisons of fish
assemblages inside and outside of closures are widely used for determining the
effects of reserves, but it should be acknowledged that this approach does not
reveal the state of an MPA relative to an undisturbed baseline.\\u00a0
The studied MPAs were established in 2002 (Vatu-o-lalai,\\u00a0Namada) and 2003
(Votua), and shortly after establishment, coral cover was low (~7%),
and\\u00a0macroalgal\\u00a0cover was high (~35\\u201345%) in both the MPAs and
\\u00a0non-MPAs. All surveys and assays were conducted during the same season
(austral summer) to minimize seasonal variation in sampling. The reef extends
approx. 1 km from shore within each MPA and\\u00a0non-MPA,\\u00a0and all data
were collected between 30 and 700 m of the shore (i.e., shoreward of the reef
crest) parallel to the\\u00a0shoreline.
Fish feeding groups: The structure of fish feeding groups was assessed using a
series of 10-min timed transects, which maximized the distance transversed in
search of groups rather than being limited to a 30m transect where there may
be no groups. A fish feeding group was defined as any aggregation of two or
more fish in which individuals were observed feeding or biting a potential
food source.
A total of 30 timed transects (n = 15 MPA; n= 15 non-MPA) were performed at
each of the three village sites (n = 90 transects total). Transects were
conducted within 2 h of high tide and equally distributed from 10:00
h\\u201314:00 h. A group was counted if at least one individual in the
aggregation was inside the transect area. For each feeding group, all
individuals were identified to species, their total length (TL) estimated and
placed into 5cm size classes. Fish lengths were converted to biomass using
established length-weight relationships. For each transect, a snorkeler swam
parallel to the reef crest for 10 min at a standard speed and recorded all
fish groups within 2 m of each side of the transect. On each sampling day,
five transects were deployed on the reef parallel to the shoreline. Adjacent
transects were separated by a minimum of 20 m, and small surface floats and
reef and shoreline landmarks were used to avoid resampling the same
    String awards_0_award_nid "480718";
    String awards_0_award_number "OCE-0929119";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=0929119";
    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 awards_1_award_nid "674109";
    String awards_1_award_number "U01-TW007401";
    String awards_1_data_url "https://projectreporter.nih.gov/project_info_description.cfm?icde=0&aid=7741942";
    String awards_1_funder_name "National Institutes of Health";
    String awards_1_funding_acronym "NIH";
    String awards_1_funding_source_nid "636502";
    String awards_1_program_manager "Flora Katz";
    String awards_1_program_manager_nid "674108";
    String cdm_data_type "Other";
    String comment 
"M. Hay 
  Fish Group Biodiversity 
  Version 6 January 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 "2017-01-07T00:42:46Z";
    String date_modified "2019-04-05T15:15:08Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.674153.1";
    String history 
"2024-07-18T19:48:07Z (local files)
2024-07-18T19:48:07Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_674153.das";
    String infoUrl "https://www.bco-dmo.org/dataset/674153";
    String institution "BCO-DMO";
    String keywords "bco, bco-dmo, biological, chemical, data, dataset, day, dmo, erddap, management, oceanography, office, preliminary, shannon, site, status, transect";
    String license "https://www.bco-dmo.org/dataset/674153/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/674153";
    String param_mapping "{'674153': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/674153/parameters";
    String people_0_affiliation "Georgia Institute of Technology";
    String people_0_affiliation_acronym "Georgia Tech";
    String people_0_person_name "Mark Hay";
    String people_0_person_nid "480720";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Woods Hole Oceanographic Institution";
    String people_1_affiliation_acronym "WHOI BCO-DMO";
    String people_1_person_name "Hannah Ake";
    String people_1_person_nid "650173";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "Killer Seaweeds";
    String projects_0_acronym "Killer Seaweeds";
    String projects_0_description 
"Extracted from the NSF award abstract:
Coral reefs are in dramatic global decline, with reefs commonly converting from species-rich and topographically-complex communities dominated by corals to species- poor and topographically-simplified communities dominated by seaweeds. These phase-shifts result in fundamental loss of ecosystem function. Despite debate about whether coral-to-algal transitions are commonly a primary cause, or simply a consequence, of coral mortality, rigorous field investigation of seaweed-coral competition has received limited attention. There is limited information on how the outcome of seaweed-coral competition varies among species or the relative importance of different competitive mechanisms in facilitating seaweed dominance. In an effort to address this topic, the PI will conduct field experiments in the tropical South Pacific (Fiji) to determine the effects of seaweeds on corals when in direct contact, which seaweeds are most damaging to corals, the role allelopathic lipids that are transferred via contact in producing these effects, the identity and surface concentrations of these metabolites, and the dynamic nature of seaweed metabolite production and coral response following contact. The herbivorous fishes most responsible for controlling allelopathic seaweeds will be identified, the roles of seaweed metabolites in allelopathy vs herbivore deterrence will be studied, and the potential for better managing and conserving critical reef herbivores so as to slow or reverse conversion of coral reef to seaweed meadows will be examined.
Preliminary results indicate that seaweeds may commonly damage corals via lipid- soluble allelochemicals. Such chemically-mediated interactions could kill or damage adult corals and produce the suppression of coral fecundity and recruitment noted by previous investigators and could precipitate positive feedback mechanisms making reef recovery increasingly unlikely as seaweed abundance increases. Chemically-mediated seaweed-coral competition may play a critical role in the degradation of present-day coral reefs. Increasing information on which seaweeds are most aggressive to corals and which herbivores best limit these seaweeds may prove useful in better managing reefs to facilitate resilience and possible recovery despite threats of global-scale stresses. Fiji is well positioned to rapidly use findings from this project for better management of reef resources because it has already erected >260 MPAs, Fijian villagers have already bought-in to the value of MPAs, and the Fiji Locally-Managed Marine Area (FLMMA) Network is well organized to get information to villagers in a culturally sensitive and useful manner.
The broader impacts of this project are far reaching. The project provides training opportunities for 2-2.5 Ph.D students and 1 undergraduate student each year in the interdisciplinary areas of marine ecology, marine conservation, and marine chemical ecology. Findings from this project will be immediately integrated into classes at Ga Tech and made available throughout Fiji via a foundation and web site that have already set-up to support marine conservation efforts in Fiji and marine education efforts both within Fiji and internationally. Business and community leaders from Atlanta (via Rotary International Service efforts) have been recruited to help organize and fund community service and outreach projects in Fiji -- several of which are likely to involve marine conservation and education based in part on these efforts there. Media outlets (National Geographic, NPR, Animal Planet, Audubon Magazine, etc.) and local Rotary clubs will be used to better disseminate these discoveries to the public.
Rasher DB, Stout EP, Engel S, Kubanek J, and ME Hay. \"Macroalgal terpenes function as allelopathic agents against reef corals\", Proceedings of the National Academy of Sciences, v. 108, 2011, p. 17726.
Beattie AJ, ME Hay, B Magnusson, R de Nys, J Smeathers, JFV Vincent. \"Ecology and bioprospecting,\" Austral Ecology, v.36, 2011, p. 341.
Rasher DB and ME Hay. \"Seaweed allelopathy degrades the resilience and function of coral reefs,\" Communicative and Integrative Biology, v.3, 2010.
Hay ME, Rasher DB. \"Corals in crisis,\" The Scientist, v.24, 2010, p. 42.
Hay ME and DB Rasher. \"Coral reefs in crisis: reversing the biotic death spiral,\" Faculty 1000 Biology Reports 2010, v.2, 2010.
Rasher DB and ME Hay. \"Chemically rich seaweeds poison corals when not controlled by herbivores\", Proceedings of the National Academy of Sciences, v.107, 2010, p. 9683.";
    String projects_0_end_date "2014-08";
    String projects_0_geolocation "Viti Levu, Fiji (18º13.049’S, 177º42.968’E)";
    String projects_0_name "Killer Seaweeds: Allelopathy against Fijian Corals";
    String projects_0_project_nid "480717";
    String projects_0_start_date "2009-09";
    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 "Biodiversity of fish feeding groups in Viti Levu, Fiji from 2010-2012 (Killer Seaweeds project)";
    String title "Biodiversity of fish feeding groups in Viti Levu, Fiji from 2010-2012 (Killer Seaweeds project)";
    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
For example,
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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