The Ocean Archive System searches our original datasets as they were submitted to us, not individual points or profiles. If you want to search and retrieve ocean profiles in a common format, or objectively analyzed fields, your better option may be to use one of our project applications. See: Access Data

OAS accession Detail for 0291481
<< previous |revision: 1
accessions_id: 0291481 | archive
Title: 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) (NCEI Accession 0291481)
Abstract: This dataset contains biological and survey - biological data collected from 2016-06-17 to 2017-07-23. These data include family, genus, order, phylum, species, and taxon. These data were collected by Matthew Edwards of San Diego State University and Brenda Konar of University of Alaska Fairbanks as part of the "Collaborative Research: Changes in ecosystem production and benthic biodiversity following the widespread loss of an ecosystem engineer (Kelp Forest Ecosystem Engineer Loss)" project. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) submitted these data to NCEI on 2019-12-11.

The following is the text of the dataset description provided by BCO-DMO:

Epibenthic community taxonomic hierarchy and sampling method in Aleutian Island kelp forests, 2016-2017

Dataset Description:
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.
Date received: 20191211
Start date: 20160617
End date: 20170723
Seanames:
West boundary: -179.30663
East boundary: -167.62222
North boundary: 53.39239
South boundary: 51.40996
Observation types: biological, survey - biological
Instrument types:
Datatypes: SPECIES IDENTIFICATION, TAXONOMIC CODE
Submitter:
Submitting institution: Biological and Chemical Oceanography Data Management Office
Collecting institutions: San Diego State University, University of Alaska Fairbanks
Contributing projects:
Platforms:
Number of observations:
Supplementary information: Acquisition Description:
Sampling locations were from the Aleutian Archipelago nearshore between longitude 173.9 and -167.6 in June 2016 and July 2017. The average depth 17.5 ft.

To assess community structure at each site, two methods were used. First, to quantify the remainder of the epibenthic community, ten 0.25 m2 quadrats were haphazardly placed within each site. Within these quadrats, the percent bottom cover was visually estimated for bare substrate, kelp holdfasts, suspension feeders, pulvinate green algae (Codium spp.), and non-geniculate coralline algae - with differentiation made between Clathromorphum spp. and other encrusting coralline species.

Following visual estimation, all epibenthic organisms—excepting those strongly adhered to the substrate (e.g., barnacles, non-geniculate coralline algae, etc.)— were scraped from the substrate and placed in fine mesh collection bags for shipboard identification, and abundance and biomass determination. Second, three 10 m x 2 m swaths were placed haphazardly within each site. Within each swath, E. fistulosa stipes were counted, midwater and demersal fishes visually quantified by trained divers, and all conspicuous, sparsely distributed, large, mobile invertebrates (i.e., sea stars, crab, and large gastropods with distributions assumed to be less than 1 per 2.5 m2, the total area covered by the above quadrats) were collected in fine mesh bags for shipboard abundance and biomass determination. Once onboard, organisms were identified to the lowest possible taxa, counted (if the species occur as discrete individuals) and weighed using hanging spring scales to determine biomass to the nearest .005 kg. Ambiguous or difficult to identify individuals were preserved in 10% formalin (for invertebrates) or pressed (for algae) for later identification.

Related data are presented in Konar et al (2017).
Availability date:
Metadata version: 1
Keydate: 2024-04-21 02:47:32+00
Editdate: 2024-04-21 02:48:45+00