BCO-DMO ERDDAP
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Row Type | Variable Name | Attribute Name | Data Type | Value |
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attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv |
attribute | NC_GLOBAL | acquisition_description | String | Sampling locations were from the Aleutian Archipelago nearshore between\nlongitude 173.9 and -167.6 in June 2016 and July 2017. The average depth 17.5\nft.\n \nTo assess community structure at each site, two methods were used. First, to\nquantify the remainder of the epibenthic community, ten 0.25 m2 quadrats were\nhaphazardly placed within each site. Within these quadrats, the percent bottom\ncover was visually estimated for bare substrate, kelp holdfasts, suspension\nfeeders, pulvinate green algae (Codium spp.), and non-geniculate coralline\nalgae - with differentiation made between Clathromorphum spp. and other\nencrusting coralline species.\n \nFollowing visual estimation, all epibenthic organisms\\u2014excepting those\nstrongly adhered to the substrate (e.g., barnacles, non-geniculate coralline\nalgae, etc.)\\u2014 were scraped from the substrate and placed in fine mesh\ncollection bags for shipboard identification, and abundance and biomass\ndetermination. Second, three 10 m x 2 m swaths were placed haphazardly within\neach site. Within each swath, E. fistulosa stipes were counted, midwater and\ndemersal fishes visually quantified by trained divers, and all conspicuous,\nsparsely distributed, large, mobile invertebrates (i.e., sea stars, crab, and\nlarge gastropods with distributions assumed to be less than 1 per 2.5 m2, the\ntotal area covered by the above quadrats) were collected in fine mesh bags for\nshipboard abundance and biomass determination. Once onboard, organisms were\nidentified to the lowest possible taxa, counted (if the species occur as\ndiscrete individuals) and weighed using hanging spring scales to determine\nbiomass to the nearest .005 kg. Ambiguous or difficult to identify individuals\nwere preserved in 10% formalin (for invertebrates) or pressed (for algae) for\nlater identification.\n \nRelated data are presented in Konar et al (2017). |
attribute | NC_GLOBAL | awards_0_award_nid | String | 709510 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1435205 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1435205 |
attribute | NC_GLOBAL | awards_0_funder_name | String | NSF Division of Ocean Sciences |
attribute | NC_GLOBAL | awards_0_funding_acronym | String | NSF OCE |
attribute | NC_GLOBAL | awards_0_funding_source_nid | String | 355 |
attribute | NC_GLOBAL | awards_0_program_manager | String | Michael E. Sieracki |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 50446 |
attribute | NC_GLOBAL | awards_1_award_nid | String | 709515 |
attribute | NC_GLOBAL | awards_1_award_number | String | OCE-1435194 |
attribute | NC_GLOBAL | awards_1_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1435194 |
attribute | NC_GLOBAL | awards_1_funder_name | String | NSF Division of Ocean Sciences |
attribute | NC_GLOBAL | awards_1_funding_acronym | String | NSF OCE |
attribute | NC_GLOBAL | awards_1_funding_source_nid | String | 355 |
attribute | NC_GLOBAL | awards_1_program_manager | String | Michael E. Sieracki |
attribute | NC_GLOBAL | awards_1_program_manager_nid | String | 50446 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | (BIOMASS) Community taxonomy & collection method \n Aleutian Island kelp forest, 2016-2017 \n PI's: M. Edwards (SDSU), B. Konar, J. Metzger (UAF) \n version: 2018-03-02 |
attribute | NC_GLOBAL | Conventions | String | COARDS, CF-1.6, ACDD-1.3 |
attribute | NC_GLOBAL | creator_email | String | info at bco-dmo.org |
attribute | NC_GLOBAL | creator_name | String | BCO-DMO |
attribute | NC_GLOBAL | creator_type | String | institution |
attribute | NC_GLOBAL | creator_url | String | https://www.bco-dmo.org/ |
attribute | NC_GLOBAL | data_source | String | extract_data_as_tsv version 2.3 19 Dec 2019 |
attribute | NC_GLOBAL | date_created | String | 2018-02-21T14:02:12Z |
attribute | NC_GLOBAL | date_modified | String | 2019-12-11T17:04:41Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.728110.1 |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/728110 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | keywords | String | array, array-data, bco, bco-dmo, biological, chemical, class, comprehensive, data, dataset, dmo, erddap, family, genus, kingdom, large, management, method, oceanography, office, order, Order_Subclass, phylum, preliminary, sampling, Sampling_method, species, stewardship, subclass, system, taxon |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/728110/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/728110 |
attribute | NC_GLOBAL | param_mapping | String | {'728110': {}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/728110/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | San Diego State University |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | SDSU |
attribute | NC_GLOBAL | people_0_person_name | String | Matthew Edwards |
attribute | NC_GLOBAL | people_0_person_nid | String | 51390 |
attribute | NC_GLOBAL | people_0_role | String | Principal Investigator |
attribute | NC_GLOBAL | people_0_role_type | String | originator |
attribute | NC_GLOBAL | people_1_affiliation | String | University of Alaska Fairbanks |
attribute | NC_GLOBAL | people_1_affiliation_acronym | String | UAF |
attribute | NC_GLOBAL | people_1_person_name | String | Brenda Konar |
attribute | NC_GLOBAL | people_1_person_nid | String | 51388 |
attribute | NC_GLOBAL | people_1_role | String | Co-Principal Investigator |
attribute | NC_GLOBAL | people_1_role_type | String | originator |
attribute | NC_GLOBAL | people_2_affiliation | String | University of Alaska Fairbanks |
attribute | NC_GLOBAL | people_2_affiliation_acronym | String | UAF |
attribute | NC_GLOBAL | people_2_person_name | String | Jacob R. Metzger |
attribute | NC_GLOBAL | people_2_person_nid | String | 727068 |
attribute | NC_GLOBAL | people_2_role | String | Contact |
attribute | NC_GLOBAL | people_2_role_type | String | related |
attribute | NC_GLOBAL | people_3_affiliation | String | Woods Hole Oceanographic Institution |
attribute | NC_GLOBAL | people_3_affiliation_acronym | String | WHOI BCO-DMO |
attribute | NC_GLOBAL | people_3_person_name | String | Nancy Copley |
attribute | NC_GLOBAL | people_3_person_nid | String | 50396 |
attribute | NC_GLOBAL | people_3_role | String | BCO-DMO Data Manager |
attribute | NC_GLOBAL | people_3_role_type | String | related |
attribute | NC_GLOBAL | project | String | Kelp Forest Ecosystem Engineer Loss |
attribute | NC_GLOBAL | projects_0_acronym | String | Kelp Forest Ecosystem Engineer Loss |
attribute | NC_GLOBAL | projects_0_description | String | NSF abstract: \nIn many ecosystems the presence of a single dominant species can modify the physical conditions of the environment and alter patterns of biodiversity, nutrient cycling, and primary production. Losses of these \"ecosystem engineers\" can have profound impacts to how ecosystems function. Coastal kelps provide excellent examples of organisms whose structure modifies the physical characteristics of their habitats (light, nutrients, water motion) and supports enhanced biodiversity. The kelp forests in the coastal waters of the Aleutian Archipelago have suffered large-scale declines over the past several decades. This project will examine how these losses impact patterns of ecosystem production and biodiversity using a combination of techniques ranging from in situ benthic chambers and shipboard incubations to remote sensing using satellite imagery. The results will provide an understanding of how such events may impact this and other ecosystems. This project will support graduate students and will introduce the public to the Aleutian ecosystems in a series of videos. The investigators will also work with a San Diego high school teacher to integrate project findings into classroom activities, and they expect to involve a teacher in their field program.\nThe investigators will ask two highly integrated questions: 1) How do the widespread losses of kelp forests impact benthic productivity across the Aleutian Archipelago? 2) How do the widespread losses of kelp forests impact benthic biodiversity and community structure across the archipelago? To address these, the investigators will estimate changes to productivity at ten islands where they have historic data on seaweed community composition and estimates of kelp canopy cover. They will use in situ benthic chambers placed in both kelp forests and urchin barrens to measure plot-scale patterns of net ecosystem productivity (NEP), and shipboard incubations to examine net primary productivity (NPP) for the dominant macroalgae. Data for individual species rates of NPP will be scaled by their biomass and combined with in situ plot-scale benthic chamber experiments of whole communities to estimate NEP at the islands visited. These estimates will be scaled up to calculate NEP across the entire archipelago by first extrapolating results from the study sites to entire islands, and then across the archipelago. They will also estimate broad-scale patterns in production by characterizing water column irradiances across the archipelago and modeling NPP using species-level relationships between irradiance and photosynthesis. Coupling these with estimates of water column irradiance and community respiration will allow modeling of NEP across this region. Benthic biodiversity will be assessed using diver surveys and shipboard benthic trawls. Following these activities, satellite remote sensing of the kelp canopies dating back to the 1980s and the investigators' own historical data on benthic macroalgal abundances at these and other islands will be used to estimate the temporal and spatial patterns of change across the archipelago.\nFor more information see:\nProject blog: http://sdsukelp.weebly.com/blog\nProject website: http://www.uaf.edu/cfos/research/projects/collaborative-research--/ |
attribute | NC_GLOBAL | projects_0_end_date | String | 2018-08 |
attribute | NC_GLOBAL | projects_0_geolocation | String | Aleutian Islands Alaska (Attu Island to Unalaska) |
attribute | NC_GLOBAL | projects_0_name | String | Collaborative Research: Changes in ecosystem production and benthic biodiversity following the widespread loss of an ecosystem engineer |
attribute | NC_GLOBAL | projects_0_project_nid | String | 709511 |
attribute | NC_GLOBAL | projects_0_project_website | String | http://sdsukelp.weebly.com/blog |
attribute | NC_GLOBAL | projects_0_start_date | String | 2015-09 |
attribute | NC_GLOBAL | publisher_name | String | Biological and Chemical Oceanographic Data Management Office (BCO-DMO) |
attribute | NC_GLOBAL | publisher_type | String | institution |
attribute | NC_GLOBAL | sourceUrl | String | (local files) |
attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | summary | String | This dataset includes the taxonomic hierarchy for epibenthic community organisms collected in Aleutian Island kelp forests, based on biomass data. It also lists the method used to sample, either by a scrape collection or by a visual count along a swath. |
attribute | NC_GLOBAL | title | String | [Epibenthic community taxonomy] - Table of taxonomic hierarchy and the sampling method for organisms collection in Aleutian Island kelp forests, June 2016 and July 2017 (Kelp Forest Ecosystem Engineer Loss project) (Collaborative Research: Changes in ecosystem production and benthic biodiversity following the widespread loss of an ecosystem engineer) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | Taxon | String | ||
attribute | Taxon | bcodmo_name | String | taxon |
attribute | Taxon | description | String | taxonomic name |
attribute | Taxon | long_name | String | Taxon |
attribute | Taxon | units | String | unitless |
variable | Kingdom | String | ||
attribute | Kingdom | bcodmo_name | String | kingdom |
attribute | Kingdom | description | String | taxonomic kingdom |
attribute | Kingdom | long_name | String | Kingdom |
attribute | Kingdom | units | String | unitless |
variable | Phylum | String | ||
attribute | Phylum | bcodmo_name | String | phylum |
attribute | Phylum | description | String | taxonomic phylum |
attribute | Phylum | long_name | String | Phylum |
attribute | Phylum | units | String | unitless |
variable | Class | String | ||
attribute | Class | bcodmo_name | String | class |
attribute | Class | description | String | taxonomic class |
attribute | Class | long_name | String | Class |
attribute | Class | units | String | unitless |
variable | Order_Subclass | String | ||
attribute | Order_Subclass | bcodmo_name | String | order |
attribute | Order_Subclass | description | String | taxonomic order or subclass |
attribute | Order_Subclass | long_name | String | Order Subclass |
attribute | Order_Subclass | units | String | unitless |
variable | Family | String | ||
attribute | Family | bcodmo_name | String | family |
attribute | Family | description | String | taxonomic family |
attribute | Family | long_name | String | Family |
attribute | Family | units | String | unitless |
variable | Genus | String | ||
attribute | Genus | bcodmo_name | String | genus |
attribute | Genus | description | String | taxonomic genus |
attribute | Genus | long_name | String | Genus |
attribute | Genus | units | String | unitless |
variable | Species | String | ||
attribute | Species | bcodmo_name | String | species |
attribute | Species | description | String | taxonomic species |
attribute | Species | long_name | String | Species |
attribute | Species | units | String | unitless |
variable | Sampling_method | String | ||
attribute | Sampling_method | bcodmo_name | String | sampling_method |
attribute | Sampling_method | description | String | taxonomic method |
attribute | Sampling_method | long_name | String | Sampling Method |
attribute | Sampling_method | units | String | unitless |