http://lod.bco-dmo.org/id/dataset/728110
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2018-02-21
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
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)
2018-02-21
publication
2018-02-21
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-12-11
publication
https://doi.org/10.1575/1912/bco-dmo.728110.1
Matthew Edwards
San Diego State University
principalInvestigator
Brenda Konar
University of Alaska Fairbanks
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Edwards, M., Konar, B. (2018) 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). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2018-02-21 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.728110.1 [access date]
Epibenthic community taxonomic hierarchy and sampling method in Aleutian Island kelp forests, 2016-2017 Dataset Description: <p>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. These data are published in Metzger et al, 2019.</p> Methods and Sampling: <p>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.</p>
<p>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.</p>
<p>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.</p>
<p>Related data are presented in Konar et al (2017).</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1435205 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1435205
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1435194 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1435194
completed
Matthew Edwards
San Diego State University
Department of Biology San Diego State University
San Diego
CA
92182
USA
medwards@mail.sdsu.edu
pointOfContact
Brenda Konar
University of Alaska Fairbanks
9074745028
College of Fisheries and Ocean Sciences
Fairbanks
AK
99709
bhkonar@alaska.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Taxon
Kingdom
Phylum
Class
Order_Subclass
Family
Genus
Species
Sampling_method
theme
None, User defined
taxon
kingdom
phylum
taxonomic class
order
family
genus
species scientific name (binomial)
sampling_method
featureType
BCO-DMO Standard Parameters
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Collaborative Research: Changes in ecosystem production and benthic biodiversity following the widespread loss of an ecosystem engineer
http://sdsukelp.weebly.com/blog
Collaborative Research: Changes in ecosystem production and benthic biodiversity following the widespread loss of an ecosystem engineer
<p><strong>NSF abstract: </strong></p>
<p>In 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.</p>
<p>The 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.</p>
<p><strong>For more information see:</strong></p>
<p>Project blog: <a href="http://sdsukelp.weebly.com/blog" target="_blank">http://sdsukelp.weebly.com/blog</a><br />
Project website: <a href="http://www.uaf.edu/cfos/research/projects/collaborative-research--/">http://www.uaf.edu/cfos/research/projects/collaborative-research--/</a></p>
Kelp Forest Ecosystem Engineer Loss
largerWorkCitation
project
eng; USA
biota
oceans
-179.30663
-167.62222
51.40996
53.39239
2016-06-17
2017-07-23
Aleutian Islands Alaska (Attu Island to Unalaska)
0
BCO-DMO catalogue of parameters from 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)
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/728122.rdf
Name: Taxon
Units: unitless
Description: <p>taxonomic name</p>
http://lod.bco-dmo.org/id/dataset-parameter/728123.rdf
Name: Kingdom
Units: unitless
Description: <p>taxonomic kingdom</p>
http://lod.bco-dmo.org/id/dataset-parameter/728124.rdf
Name: Phylum
Units: unitless
Description: <p>taxonomic phylum</p>
http://lod.bco-dmo.org/id/dataset-parameter/728125.rdf
Name: Class
Units: unitless
Description: <p>taxonomic class</p>
http://lod.bco-dmo.org/id/dataset-parameter/728126.rdf
Name: Order_Subclass
Units: unitless
Description: <p>taxonomic order or subclass</p>
http://lod.bco-dmo.org/id/dataset-parameter/728127.rdf
Name: Family
Units: unitless
Description: <p>taxonomic family</p>
http://lod.bco-dmo.org/id/dataset-parameter/728128.rdf
Name: Genus
Units: unitless
Description: <p>taxonomic genus</p>
http://lod.bco-dmo.org/id/dataset-parameter/728129.rdf
Name: Species
Units: unitless
Description: <p>taxonomic species</p>
http://lod.bco-dmo.org/id/dataset-parameter/728130.rdf
Name: Sampling_method
Units: unitless
Description: <p>taxonomic method</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
22702
https://darchive.mblwhoilibrary.org/bitstream/1912/24989/1/dataset-728110_epibenthic-community-taxonomy__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.728110.1
download
onLine
dataset
<p>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.</p>
<p>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.</p>
<p>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.</p>
<p>Related data are presented in Konar et al (2017).</p>
Specified by the Principal Investigator(s)
<p>All statistical analyses were done using PRIMER-E v. 7.0.13 (Clarke and Gorley 2015). Prior to multivariate analyses, abundance and biomass data were standardized to m2 to allow for pooling across sampling methods using Microsoft Excel for Mac v.16.9.</p>
<p><strong>BCO-DMO Processing Notes:</strong><br />
- added conventional header with dataset name, PI name, version date<br />
- modified parameter names to conform with BCO-DMO naming conventions<br />
-&nbsp;transposed rows to columns</p>
Specified by the Principal Investigator(s)
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact