http://lod.bco-dmo.org/id/dataset/664223
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
2016-11-08
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Scleractinia, macroalgae and octocoral surveys describing species abundance and distribution, in St. John, USVI in 1987–2013 (St. John LTREB project, VI Octocorals project).
2016-11-08
publication
2016-11-08
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2016-11-15
publication
https://doi.org/10.1575/1912/bco-dmo.664745
Peter J. Edmunds
California State University Northridge
principalInvestigator
Georgios Tsounis
California State University Northridge
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: Edmunds, P., Tsounis, G. (2016) Scleractinia, macroalgae and octocoral surveys describing species abundance and distribution, in St. John, USVI in 1987–2013 (St. John LTREB project, VI Octocorals project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version working) Version Date 2016-11-08 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.664745 [access date]
Scleractinian, octocoral, and macroalgae abundance and percent cover. Dataset Description: <p>&nbsp;Scleractinian, octocoral, and macroalgae abundance and percent cover.</p> Methods and Sampling: <p><strong>Based on Tsounis and Edmunds (In press), Ecosphere:&nbsp;</strong></p>
<p>Analyses are based on ~ 1,600&nbsp;photoquadrats&nbsp;recorded annually since 1987. Photoquadrats were recorded with a Nikonos V camera fitted with Kodachrome 64 slide film from 1987-1999, but from 2000, digital cameras were used (2000-2006: Nikon Coolpix 990, 3.3 megapixels; 2007: Nikon D70, 6.1 megapixels; 2011, Nikon D90, 12.3 megapixels; and 2012-2013, Nikon D7000, 16.2 megapixels). Cameras were fitted with a strobe (Nikonos SB105) and mounted on a&nbsp;quadrapod&nbsp;holding them perpendicular to the substratum (Edmunds 2002, 2013). The camera&nbsp;framer&nbsp;remained identical throughout the study and together with the cameras, resolved objects greater than or equal to 10-mm diameter in a 1 × 1 m&nbsp;framer. At each site,&nbsp;photoquadrats&nbsp;were recorded at ~ 10 contiguous locations along each of three transects that are parallel to one another at&nbsp;constant&nbsp;depth (+/- 2 meters), and 5-m apart (30 images y-1&nbsp;at each site). The same transects were resampled every year. Sampling occurred in December 1987, March 1988, July 1988, December 1988, April 1989, October 1989, March 1991, May 1992, June 1993, August 1994, May 1995 to 1997, and July or August thereafter. Images are archived&nbsp;online&nbsp;(<a href="http://mcr.lternet.edu/vinp/overview/" target="_blank">http://mcr.lternet.edu/vinp/overview/</a>).</p>
<p>Images were analyzed for percentage cover of benthic organisms using CPCe version 3.6 software (Kohler and Gill 2006), or for&nbsp;abundance&nbsp;of octocoral colonies (number of colonies). First, percentage cover was determined using 200 dots randomly scattered on each image and scored by their occurrence on scleractinians, macroalgae (algae greater than or equal to 1 cm high, consisting mostly of&nbsp;<em>Halimeda, Lobophora, Padina, </em>and<em>&nbsp;Dictyota</em>), and CTB. Scleractinians were scored as a single functional group as the fauna was dominated by&nbsp;<em>O.&nbsp;</em><em>annularis</em>&nbsp;(85 % at Yawzi; 58 % at Tektite, 1987), and resolution in the 1 x 1 m&nbsp;photoquadrats&nbsp;made it difficult to resolve small colonies such as those of&nbsp;Agaricia&nbsp;and juvenile&nbsp;<em>Porites&nbsp;</em><em>spp</em>. Second, colony abundance of octocorals (individuals m-2) was quantified with annual resolution, and colonies were counted when their holdfasts were visible in the&nbsp;photoquadrats&nbsp;(Lenz et al. 2015).&nbsp;<em>Erythropodium&nbsp;</em><em>spp</em>. and encrusting&nbsp;<em>Briareum&nbsp;</em><em>spp</em>. were represented at low cover and abundance, and were quantified based on the number of discrete areas of colonies. Numerical abundance of octocorals was used at annual resolution. Cover data with 5-year resolution were included for comparison with other studies.</p>
<p>Octocorals are challenging to resolve to species underwater, because identification typically requires analysis of sclerites (Bayer 1961) in voucher specimens, the collection of which is restricted in the Virgin Islands National Park. Identification is even more challenging in&nbsp;photoquadrats&nbsp;where lighting and resolution can be limiting, and therefore our analysis focused on the 11 genera found at these sites:&nbsp;<em>Briareum, Erythropodium, Plexaura, Pseudoplexaura,&nbsp;</em><em>Eunicea</em><em>, Plexaurella, Muriceopsis, Antillogorgia,&nbsp;</em>and<em>&nbsp;Gorgonia</em>. Small colonies of&nbsp;<em>Eunicea</em>,&nbsp;<em>Plexaurella</em>,&nbsp;<em>Pseudoplexaura</em>, and&nbsp;<em>Plexaura&nbsp;</em><em>spp</em>. were scored as “unknowns” as they could not be distinguished in the photographs. The height of small colonies could not be determined in planar images, but they were ~ 12 cm tall.&nbsp;<em>Pterogorgia</em>&nbsp;and&nbsp;<em>Muricea</em>&nbsp;were found in the region, and either were not detected in the sampling areas, or could not be resolved in the photographs.</p>
<p><strong>References:</strong></p>
<p>Edmunds, P. J. 2002. Long-term dynamics of coral reefs in St. John US Virgin 827 Islands. Coral Reefs 21:357−367.</p>
Funding provided by NSF Division of Environmental Biology (NSF DEB) Award Number: DEB-0841441 Award URL: http://www.nsf.gov/awardsearch/showAward?AWD_ID=0841441&HistoricalAwards=false
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1332915 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1332915
Funding provided by NSF Division of Environmental Biology (NSF DEB) Award Number: DEB-1350146 Award URL: http://www.nsf.gov/awardsearch/showAward?AWD_ID=1350146
completed
Peter J. Edmunds
California State University Northridge
818-677-2502
Department of Biology 18111 Nordhoff Street
Northridge
CA
91330-8303
USA
peter.edmunds@csun.edu
pointOfContact
Georgios Tsounis
California State University Northridge
18111 Nordhoff Street
Northridge
CA
91330-8303
georgios.tsounis@csun.edu
pointOfContact
asNeeded
Dataset Version: Final
Unknown
site
year
AntillogorgiaCover_mean
AntillogorgiaCover_SE
GorgoniaCover_mean
GorgoniaCover_SE
PlexauraCover_mean
PlexauraCover_SE
totalOctocoralCover_mean
totalOctocoralCover_SE
AntillogorgiaAbundance_mean
AntillogorgiaAbundance_SE
GorgoniaAbundance_mean
GorgoniaAbundance_SE
PlexauraAbundance_mean
PlexauraAbundance_SE
totalAbundance_mean
totalAbundance_SE
ScleractinianCover_mean
ScleractinianCover_SE
MacroalgaeCover_mean
MacroalgaeCover_SE
CTBcover_mean
CTBcover_SE
camera
theme
None, User defined
site
year
percent coverage
abundance
featureType
BCO-DMO Standard Parameters
Camera
instrument
BCO-DMO Standard Instruments
Edmunds_VINP
service
Deployment Activity
Great Lameshure Bay, St. John, US Virgin Island
place
Locations
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.
LTREB Long-term coral reef community dynamics in St. John, USVI: 1987-2019
http://coralreefs.csun.edu/
LTREB Long-term coral reef community dynamics in St. John, USVI: 1987-2019
<p><strong>Long Term Research in Environmental Biology (LTREB) in US Virgin Islands:</strong></p>
<p><em>From the NSF award abstract:</em><br />
In an era of growing human pressures on natural resources, there is a critical need to understand how major ecosystems will respond, the extent to which resource management can lessen the implications of these responses, and the likely state of these ecosystems in the future. Time-series analyses of community structure provide a vital tool in meeting these needs and promise a profound understanding of community change. This study focuses on coral reef ecosystems; an existing time-series analysis of the coral community structure on the reefs of St. John, US Virgin Islands, will be expanded to 27 years of continuous data in annual increments. Expansion of the core time-series data will be used to address five questions: (1) To what extent is the ecology at a small spatial scale (1-2 km) representative of regional scale events (10's of km)? (2) What are the effects of declining coral cover in modifying the genetic population structure of the coral host and its algal symbionts? (3) What are the roles of pre- versus post-settlement events in determining the population dynamics of small corals? (4) What role do physical forcing agents (other than temperature) play in driving the population dynamics of juvenile corals? and (5) How are populations of other, non-coral invertebrates responding to decadal-scale declines in coral cover? Ecological methods identical to those used over the last two decades will be supplemented by molecular genetic tools to understand the extent to which declining coral cover is affecting the genetic diversity of the corals remaining. An information management program will be implemented to create broad access by the scientific community to the entire data set.</p>
<p>The importance of this study lies in the extreme longevity of the data describing coral reefs in a unique ecological context, and the immense potential that these data possess for understanding both the patterns of comprehensive community change (i.e., involving corals, other invertebrates, and genetic diversity), and the processes driving them. Importantly, as this project is closely integrated with resource management within the VI National Park, as well as larger efforts to study coral reefs in the US through the NSF Moorea Coral Reef LTER, it has a strong potential to have scientific and management implications that extend further than the location of the study.</p>
St. John LTREB
largerWorkCitation
project
Collaborative research: Ecology and functional biology of octocoral communities
http://coralreefs.csun.edu/
Collaborative research: Ecology and functional biology of octocoral communities
<p>The recent past has not been good for coral reefs, and journals have been filled with examples of declining coral cover, crashing fish populations, rising cover of macroalgae, and a future potentially filled with slime. However, reefs are more than the corals and fishes for which they are known best, and their biodiversity is affected strongly by other groups of organisms. The non-coral fauna of reefs is being neglected in the rush to evaluate the loss of corals and fishes, and this project will add on to an on-going long term ecological study by studying soft corals. This project will be focused on the ecology of soft corals on reefs in St. John, USVI to understand the Past, Present and the Future community structure of soft corals in a changing world. For the Past, the principal investigators will complete a retrospective analysis of octocoral abundance in St. John between 1992 and the present, as well as Caribbean-wide since the 1960's. For the Present, they will: (i) evaluate spatio-temporal changes between soft corals and corals, (ii) test for the role of competition with macroalgae and between soft corals and corals as processes driving the rising abundance of soft corals, and (iii) explore the role of soft corals as "animal forests" in modifying physical conditions beneath their canopy, thereby modulating recruitment dynamics. For the Future the project will conduct demographic analyses on key soft corals to evaluate annual variation in population processes and project populations into a future impacted by global climate change.</p>
<p>This project was funded to provide and independent "overlay" to the ongoing LTREB award (DEB-1350146, co-funded by OCE, PI Edmunds) focused on the long-term dynamics of coral reefs in St. John.</p>
<p>Note: This project is closely associated with the project "RAPID: Resilience of Caribbean octocorals following Hurricanes Irma and Maria". See: <a href="https://www.bco-dmo.org/project/749653">https://www.bco-dmo.org/project/749653</a>.</p>
<p><strong>The following publications and data resulted from this project:</strong><br />
2017 Tsounis, G., and P. J. Edmunds. Three decades of coral reef community dynamics in St. John, USVI: a contrast of scleractinians and octocorals. Ecosphere 8(1):e01646. DOI: <a href="https://dx.doi.org/10.1002/ecs2.1646" target="_blank" title="Link to external resource: 10.1002/ecs2.1646">10.1002/ecs2.1646</a><br /><a href="https://www.bco-dmo.org/dataset/664254" target="_blank">Rainfall and temperature data</a><br /><a href="https://www.bco-dmo.org/dataset/664223" target="_blank">Coral and macroalgae abundance and distribution</a><br /><a href="https://www.bco-dmo.org/dataset/664267" target="_blank">Descriptions of hurricanes affecting St. John</a></p>
<p>2016 Gambrel, B. and Lasker, H.R. Marine Ecology Progress Series 546: 85–95, DOI: <a href="http://www.int-res.com/abstracts/meps/v546/p85-95/" target="_blank">10.3354/meps11670</a><br /><a href="https://www.bco-dmo.org/dataset/662664" target="_blank">Colony to colony interactions</a><br /><a href="https://www.bco-dmo.org/dataset/662377" target="_blank">Eunicea</a><a href="https://www.bco-dmo.org/dataset/662377" target="_blank"> </a><a href="https://www.bco-dmo.org/dataset/662377" target="_blank">flexuosa interactions</a><br /><a href="http://Gorgonia ventalina asymmetry">Gorgonia </a><a href="https://www.bco-dmo.org/dataset/662645" target="_blank">ventalina</a><a href="https://www.bco-dmo.org/dataset/662645"> asymmetry</a><br /><a href="https://www.bco-dmo.org/dataset/662791" target="_blank">Nearest neighbor surveys</a></p>
<p>2015 Lenz EA, Bramanti L, Lasker HR, Edmunds PJ. Long-term variation of octocoral populations in St. John, US Virgin Islands. Coral Reefs DOI <a href="http://dx.doi.org/10.1007/s00338-015-1315-x" target="_blank">10.1007/s00338-015-1315-x</a><br /><a href="http://www.bco-dmo.org/dataset/562570" target="_blank">octocoral survey - densities</a><br /><a href="http://www.bco-dmo.org/dataset/562595" target="_blank">octocoral counts - photoquadrats vs. insitu survey</a><br /><a href="http://www.bco-dmo.org/dataset/562618" target="_blank">octocoral literature review</a><br /><a href="/objectserver/69302b1a463dd013c1705f67f0f4729d/Lenzetal_CR_MetaDataSTJ2015_BCODMO_2015-07-15.xls?url=http%3A%2F%2Fdmoserv3.whoi.edu%2Fdata_docs%2FSt_John_LTREB%2Foctocorals%2FLenzetal_CR_MetaDataSTJ2015_BCODMO_2015-07-15.xls&f=6662643334623361383433323261653161643461646462396361326637316630687474703a2f2f646d6f73657276332e77686f692e6564752f646174615f646f63732f53745f4a6f686e5f4c545245422f6f63746f636f72616c732f4c656e7a6574616c5f43525f4d6574614461746153544a323031355f42434f444d4f5f323031352d30372d31352e786c73">Download complete data for this publication (Excel file)</a></p>
<p>2015 Privitera-Johnson, K., et al., Density-associated recruitment in octocoral communities in St. John, US Virgin Islands, J.Exp. Mar. Biol. Ecol. DOI: <a href="https://dx.doi.org/10.1016/j.jembe.2015.08.006" target="_blank">10.1016/j.jembe.2015.08.006</a><br /><a href="http://www.bco-dmo.org/dataset/565056" target="_blank">octocoral density dependence</a><br /><a href="/objectserver/cfc2c4c4b3371f59765a42e52bdf655d/MetaData_KPJetal_JEMBE2015_STJ_Octocorals.xlsx?url=http%3A%2F%2Fdmoserv3.whoi.edu%2Fdata_docs%2FSt_John_LTREB%2Foctocorals%2FMetaData_KPJetal_JEMBE2015_STJ_Octocorals.xlsx&f=6539346466636463333964346262383739333333383233376131383666623536687474703a2f2f646d6f73657276332e77686f692e6564752f646174615f646f63732f53745f4a6f686e5f4c545245422f6f63746f636f72616c732f4d657461446174615f4b504a6574616c5f4a454d4245323031355f53544a5f4f63746f636f72616c732e786c7378">Download complete data for this publication (Excel file)</a></p>
<p>Other datasets related to this project:<br /><a href="https://www.bco-dmo.org/dataset/682966" target="_blank">octocoral transects - adult colony height</a></p>
VI Octocorals
largerWorkCitation
project
eng; USA
oceans
Great Lameshure Bay, St. John, US Virgin Island
64.668056
64.803611
-18.376667
-18.298056
1987-06-01
2013-08-31
From projects that focused on the following 2 locations: 1. St. John, U.S. Virgin Islands; California State University Northridge 2. St. John, US Virgin Islands: 18.3185, 64.7242
0
BCO-DMO catalogue of parameters from Scleractinia, macroalgae and octocoral surveys describing species abundance and distribution, in St. John, USVI in 1987–2013 (St. John LTREB project, VI Octocorals 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/664605.rdf
Name: site
Units: unitless
Description: Site at which data were collected: Yawzi Point or Tektite
http://lod.bco-dmo.org/id/dataset-parameter/664606.rdf
Name: year
Units: year
Description: Year in which photoquadrats were recorded
http://lod.bco-dmo.org/id/dataset-parameter/664607.rdf
Name: AntillogorgiaCover_mean
Units: percent
Description: Mean relative surface percent cover of Antillogorgia
http://lod.bco-dmo.org/id/dataset-parameter/664608.rdf
Name: AntillogorgiaCover_SE
Units: percent
Description: Standard error of surface percent cover of Antillogoria
http://lod.bco-dmo.org/id/dataset-parameter/664609.rdf
Name: GorgoniaCover_mean
Units: percent
Description: Mean relative surface percent cover of Gorgonia
http://lod.bco-dmo.org/id/dataset-parameter/664610.rdf
Name: GorgoniaCover_SE
Units: percent
Description: Standard error of surface percent cover of Gorgonia
http://lod.bco-dmo.org/id/dataset-parameter/664611.rdf
Name: PlexauraCover_mean
Units: percent
Description: Mean relative surface percent cover of Plexaura
http://lod.bco-dmo.org/id/dataset-parameter/664612.rdf
Name: PlexauraCover_SE
Units: percent
Description: Standard error relative surface percent cover of Plexaura
http://lod.bco-dmo.org/id/dataset-parameter/664613.rdf
Name: totalOctocoralCover_mean
Units: percent
Description: Mean relative surface percent cover of all octocorals
http://lod.bco-dmo.org/id/dataset-parameter/664614.rdf
Name: totalOctocoralCover_SE
Units: percent
Description: Standard error for surface percent cover of all octocorals
http://lod.bco-dmo.org/id/dataset-parameter/664615.rdf
Name: AntillogorgiaAbundance_mean
Units: count
Description: Mean abundance (individual octocoral colony as defined by ist holdfast in the 1x1 m photoquadrat) of Antillogorgia
http://lod.bco-dmo.org/id/dataset-parameter/664616.rdf
Name: AntillogorgiaAbundance_SE
Units: count
Description: Abundance standard error (individual octocoral colony as defined by ist holdfast in the 1x1 m photoquadrat) of Antillogorgia
http://lod.bco-dmo.org/id/dataset-parameter/664617.rdf
Name: GorgoniaAbundance_mean
Units: count
Description: Mean abundance (individual octocoral colony as defined by ist holdfast in the 1x1 m photoquadrat) of Gorgonia
http://lod.bco-dmo.org/id/dataset-parameter/664618.rdf
Name: GorgoniaAbundance_SE
Units: count
Description: Abundance standard error (individual octocoral colony as defined by ist holdfast in the 1x1 m photoquadrat) of Gorgonia
http://lod.bco-dmo.org/id/dataset-parameter/664619.rdf
Name: PlexauraAbundance_mean
Units: count
Description: Mean abundance (individual octocoral colony as defined by ist holdfast in the 1x1 m photoquadrat) of Plexaura
http://lod.bco-dmo.org/id/dataset-parameter/664620.rdf
Name: PlexauraAbundance_SE
Units: count
Description: Abundance standard error (individual octocoral colony as defined by ist holdfast in the 1x1 m photoquadrat) of Plexaura
http://lod.bco-dmo.org/id/dataset-parameter/664621.rdf
Name: totalAbundance_mean
Units: count
Description: Mean abundance (individual octocoral colony as defined by ist holdfast in the 1x1 m photoquadrat) of all octocoral genera
http://lod.bco-dmo.org/id/dataset-parameter/664622.rdf
Name: totalAbundance_SE
Units: count
Description: Abundance standard error (individual octocoral colony as defined by ist holdfast in the 1x1 m photoquadrat) of all octocoral genera
http://lod.bco-dmo.org/id/dataset-parameter/664623.rdf
Name: ScleractinianCover_mean
Units: percent
Description: Mean relative surface percent cover of live scleractinian corals (all genera)
http://lod.bco-dmo.org/id/dataset-parameter/664624.rdf
Name: ScleractinianCover_SE
Units: percent
Description: Relative standard error surface percent cover of live scleractinian corals (all genera)
http://lod.bco-dmo.org/id/dataset-parameter/664625.rdf
Name: MacroalgaeCover_mean
Units: percent
Description: Mean relative surface percent cover of macroalgae (all genera) in quadrats algae greater than or equal to 1 cm height; Mostly Halimeda Lobopohra Padina and Dictyota
http://lod.bco-dmo.org/id/dataset-parameter/664626.rdf
Name: MacroalgaeCover_SE
Units: percent
Description: Relative standard error surface percent cover of macroalgae (all genera) in quadrats algae greater than or equal to 1 cm height mostly Halimeda Lobopohra Padina and Dictyota
http://lod.bco-dmo.org/id/dataset-parameter/664627.rdf
Name: CTBcover_mean
Units: percent
Description: Mean relative surface percent cover of crustose coralline algae algal turf and bare space combined
http://lod.bco-dmo.org/id/dataset-parameter/664628.rdf
Name: CTBcover_SE
Units: percent
Description: Relative standard error surface percent cover of crustose coralline algae algal turf and bare space combined
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
6612
https://darchive.mblwhoilibrary.org/bitstream/1912/8518/1/data_coral-and-macroalgae-abundance-and-distribution.tsv
download
https://doi.org/10.1575/1912/bco-dmo.664745
download
onLine
dataset
<p><strong>Based on Tsounis and Edmunds (In press), Ecosphere:&nbsp;</strong></p>
<p>Analyses are based on ~ 1,600&nbsp;photoquadrats&nbsp;recorded annually since 1987. Photoquadrats were recorded with a Nikonos V camera fitted with Kodachrome 64 slide film from 1987-1999, but from 2000, digital cameras were used (2000-2006: Nikon Coolpix 990, 3.3 megapixels; 2007: Nikon D70, 6.1 megapixels; 2011, Nikon D90, 12.3 megapixels; and 2012-2013, Nikon D7000, 16.2 megapixels). Cameras were fitted with a strobe (Nikonos SB105) and mounted on a&nbsp;quadrapod&nbsp;holding them perpendicular to the substratum (Edmunds 2002, 2013). The camera&nbsp;framer&nbsp;remained identical throughout the study and together with the cameras, resolved objects greater than or equal to 10-mm diameter in a 1 × 1 m&nbsp;framer. At each site,&nbsp;photoquadrats&nbsp;were recorded at ~ 10 contiguous locations along each of three transects that are parallel to one another at&nbsp;constant&nbsp;depth (+/- 2 meters), and 5-m apart (30 images y-1&nbsp;at each site). The same transects were resampled every year. Sampling occurred in December 1987, March 1988, July 1988, December 1988, April 1989, October 1989, March 1991, May 1992, June 1993, August 1994, May 1995 to 1997, and July or August thereafter. Images are archived&nbsp;online&nbsp;(<a href="http://mcr.lternet.edu/vinp/overview/" target="_blank">http://mcr.lternet.edu/vinp/overview/</a>).</p>
<p>Images were analyzed for percentage cover of benthic organisms using CPCe version 3.6 software (Kohler and Gill 2006), or for&nbsp;abundance&nbsp;of octocoral colonies (number of colonies). First, percentage cover was determined using 200 dots randomly scattered on each image and scored by their occurrence on scleractinians, macroalgae (algae greater than or equal to 1 cm high, consisting mostly of&nbsp;<em>Halimeda, Lobophora, Padina, </em>and<em>&nbsp;Dictyota</em>), and CTB. Scleractinians were scored as a single functional group as the fauna was dominated by&nbsp;<em>O.&nbsp;</em><em>annularis</em>&nbsp;(85 % at Yawzi; 58 % at Tektite, 1987), and resolution in the 1 x 1 m&nbsp;photoquadrats&nbsp;made it difficult to resolve small colonies such as those of&nbsp;Agaricia&nbsp;and juvenile&nbsp;<em>Porites&nbsp;</em><em>spp</em>. Second, colony abundance of octocorals (individuals m-2) was quantified with annual resolution, and colonies were counted when their holdfasts were visible in the&nbsp;photoquadrats&nbsp;(Lenz et al. 2015).&nbsp;<em>Erythropodium&nbsp;</em><em>spp</em>. and encrusting&nbsp;<em>Briareum&nbsp;</em><em>spp</em>. were represented at low cover and abundance, and were quantified based on the number of discrete areas of colonies. Numerical abundance of octocorals was used at annual resolution. Cover data with 5-year resolution were included for comparison with other studies.</p>
<p>Octocorals are challenging to resolve to species underwater, because identification typically requires analysis of sclerites (Bayer 1961) in voucher specimens, the collection of which is restricted in the Virgin Islands National Park. Identification is even more challenging in&nbsp;photoquadrats&nbsp;where lighting and resolution can be limiting, and therefore our analysis focused on the 11 genera found at these sites:&nbsp;<em>Briareum, Erythropodium, Plexaura, Pseudoplexaura,&nbsp;</em><em>Eunicea</em><em>, Plexaurella, Muriceopsis, Antillogorgia,&nbsp;</em>and<em>&nbsp;Gorgonia</em>. Small colonies of&nbsp;<em>Eunicea</em>,&nbsp;<em>Plexaurella</em>,&nbsp;<em>Pseudoplexaura</em>, and&nbsp;<em>Plexaura&nbsp;</em><em>spp</em>. were scored as “unknowns” as they could not be distinguished in the photographs. The height of small colonies could not be determined in planar images, but they were ~ 12 cm tall.&nbsp;<em>Pterogorgia</em>&nbsp;and&nbsp;<em>Muricea</em>&nbsp;were found in the region, and either were not detected in the sampling areas, or could not be resolved in the photographs.</p>
<p><strong>References:</strong></p>
<p>Edmunds, P. J. 2002. Long-term dynamics of coral reefs in St. John US Virgin 827 Islands. Coral Reefs 21:357−367.</p>
Specified by the Principal Investigator(s)
<p><strong>Based on Tsounis and Edmunds (In press), Ecosphere:&nbsp;</strong></p>
<p>Community structure was characterized for four assemblage constructs that employed annual means for dependent variables (cover or abundance). First, the scleractinian-focused assemblage was quantified using the percentage cover of scleractinians (pooled among taxa), macroalgae, and CTB. Second, the octocoral-focused assemblage was quantified using octocoral abundance (pooled among taxa) together with&nbsp;cover&nbsp;of macroalgae, and CTB. Third, the octocoral genus assemblage focused on octocoral abundance resolved to genus, or unknowns. Fourth, a complete assemblage was used, containing scleractinians (all taxa), octocorals (abundance by genus), macroalgae and CTB. Data for each benthic group were presented untransformed as means +/- SE by year on scatterplots.</p>
<p>All analyses of scleractinian-focused, octocoral-focused, octocoral&nbsp;genera,&nbsp;and complete assemblages were based on resemblance matrices using Bray-Curtis similarities. Data for the scleractinian-focused assemblage consisted of percent cover and were square root transformed; data for the octocoral-focused and complete assemblage consisted of both percent cover and numerical abundance, and therefore were z-score standardized (Sokal and Rohlf 2012); and data for the octocoral genera were z-score standardized to optimize the performance of PCoA for the zero-inflated data. A dummy value of 3 was added to z-score standardized data to create positive values that could&nbsp;analyzed&nbsp;in this statistical framework.</p>
<p>Non-metric multidimensional scaling (nMDS) was used to visualize multivariate trends in community structure for the four assemblages. To prepare nMDS plots, multiple restarts of 999 iterations were used until stress stabilized and ordinations were repeatable (after Clarke and Warwick 2001). In these plots, years were represented as circles scaled to scleractinian cover in the scleractinian-focused analysis, and to pooled abundance of octocorals in the octocoral focused and octocoral&nbsp;genera&nbsp;analyses. Sampling years were clustered using the SIMPROF routine in PRIMER-E, with 999 permutations and significant clusters identified at an alpha of 0.05. SIMPROF results were displayed as similarity contours on the respective nMDS plots visualizing hierarchical similarity among years (after Clarke and Warwick 2001). To evaluate similarities between two groupings of years that became apparent during initial analysis (as in Edmunds 2013; Edmunds and Lasker 2016), we used an iterative procedure for each graph to determine the highest value of dissimilarity percentage that would describe the groups of years separated in nMDS state space. To identify the contribution of each benthic group to inter-annual variability, a principal coordinate analysis (PCoA) was performed using the&nbsp;cmdscale&nbsp;function in the R statistical package (R Development Core Team 2008). Loading scores were calculated as the Pearson correlations of each dependent variable (i.e., benthic group) against PCO1 and PCO2, and were displayed when significant (P less than 0.05) as vectors scaled to a maximum length of 1. The PCoA were based on Bray-Curtis similarities that were produced using the vegan package for R (Oksanen et al. 2015).</p>
<p>Question 1.&nbsp;To test whether the description of community dynamics differ when described with the four assemblages constructs, we used a multivariate correlation procedure with significance determined within a permutational framework using a Mantel test (Legendre and Legendre 1998). First we compared the scleractinian-focused assemblage with the octocoral-focused assemblage; second, we compared the scleractinian-focused assemblage with the octocoral&nbsp;genera&nbsp;assemblage; and third, we tested whether the scleractinian-focused assemblage differed from the complete assemblage. The Mantel test was performed using the Vegan package in R [Oksanen et al. 2015; R Development Core Team 2008]).</p>
<p>Each of the four assemblages was tested for associations with all combinations of the four measures of physical conditions, using Spearman rank correlation (Clarke and Ainsworth 1993). The Bioenv function (Clarke and Ainsworth 1993) was used for&nbsp;correlations,&nbsp;and was followed&nbsp;with&nbsp;a Mantel procedure (Legendre and Legendre 1998) to identify the set of physical variables most strongly associated with the biological variables, with significance evaluated in a permutational framework. The Bioenv function was performed using the vegan package for R (R Development Core Team 2008 [Oksanen et al. 2015]).</p>
<p><strong>Analysis of general implications</strong></p>
<p>To address general implications of our findings, the Yawzi Point versus Tektite contrast was interpreted as a comparison of a reef dominated by living&nbsp;<em>Orbicella&nbsp;annularis</em>&nbsp;(i.e., Tektite), with one dominated by antecedent (but dead) colonies of&nbsp;<em>O.&nbsp;annularis</em>&nbsp;with the decline in cover of this species having taken place since 1987. In this format, the contrast has utility in evaluating how the regional trend for declining cover of&nbsp;<em>O.&nbsp;annularis</em>&nbsp;(e.g., Hughes and Tanner 2000, Edmunds 2015) is likely to influence the community dynamics of octocorals. Central to this interpretation was an inferential test of octocoral community dynamics at Yawzi Point versus Tektite, and this was accomplished using the Mantel test to compare all four assemblages as described above.</p>
<p><strong>BCO-DMO Processing Notes:</strong></p>
<p>-Reformatted column names to comply with BCO-DMO standards.<br />
-Replaced "no data" with "nd"<br />
-Changed significant figures to reflect the accuracy of the measuring system.</p>
Specified by the Principal Investigator(s)
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camera
camera
PI Supplied Instrument Name: camera PI Supplied Instrument Description:Nikon D90 - 6.8 megapixel digital camera Instrument Name: Camera Instrument Short Name:camera Instrument Description: All types of photographic equipment including stills, video, film and digital systems. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/311/
Deployment: Edmunds_VINP
Edmunds_VINP
Virgin Islands National Park
shoreside
Edmunds_VINP
Peter J. Edmunds
California State University Northridge
Virgin Islands National Park
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