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Row Type Variable Name Attribute Name Data Type Value
attribute NC_GLOBAL access_formats String .htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson
attribute NC_GLOBAL acquisition_description String Methodology from Tsounis, G., Edmunds, P.J., Bramanti, L. et al. Mar Biol\n(2018) 165: 29.\n[https://doi.org/10.1007/s00227-018-3286-2](\\\\\"https://doi.org/10.1007/s00227-018-3286-2\\\\\")\n \nSurveys were conducted at East Cabritte and Europa Bay (Fig. 1) in July and\nAugust 2014, and March 2015. The sites represent contrasting exposure regimes,\nsuggested by the exposure of East Cabritte to prevailing winds and swells, and\nthe shelter of Europa Bay in the lee of Cabritte Horn. Measurements of\nphysical environmental conditions (described below) were used to quantify\nthese differences.\n \nAt each site, a 50 \\u00d7 10 m study area was haphazardly established, within\nwhich aspects of the biota and the physical environment were measured. The\nlong axes of the areas were parallel to the shore and ranged from 7.5- to\n9.0-m depth at East Cabritte, and from 5.6- to 8.0-m depth at Europa Bay, and\nthe short axes were perpendicular to the shore and crossed a depth gradient of\n5.6\\u20137.2 m at Europa Bay, and 7.5\\u20139.0 m at East Cabritte. The depth\nranges of the study sites differed, because the reef at Europa did not extend\ninto deeper water, while the reef at East Cabritte markedly steepened above 7\nm. Five, 10-m transects were equally spaced along, and perpendicular to, the\nlong axis of each study area. Octocoral community structure was compared\nbetween sites using octocoral diversity, size, and density in both\nmultivariate and univariate statistics frameworks.\n \nPhysical environmental condition  \n Environmental conditions at each site were characterized in the summer of\n2014 and the winter of 2014\\u20132015 through measurements of water motion,\nbenthic rugosity, sedimentation, and light intensity. Water motion was\ncharacterized using two methods, first, using the wave climate recorded by an\nNOAA buoy moored 7.8 km from the study site (CariCOOS Data Buoy C at Mooring\nVI-105), and second, through direct measurements of integrated water motion\nusing clod cards (Doty 1971).\n \nHourly wave direction (degrees relative to north) from March 15th 2011, 17:00\nh to March 2nd 2015, 21:00 h was obtained from the NOAA buoy VI-105\n([https://www.caricoos.org/drupal/virgin_islands](\\\\\"https://www.caricoos.org/drupal/virgin_islands\\\\\")),\nwith measurements averaged by hour from a sampling frequency of 2 Hz in 17 min\nbursts. To obtain hourly averages, a varying number of records were averaged\ndepending on the coincidence of the 17-min sampling bursts with the 60-min\naveraging period. Using hourly averages, the proportion of time (i.e.,\npercentages based on number of hours) when waves directly impacted each site\nwas calculated based on the direction from which the waves originated. The two\nsites were impacted by waves originating from dissimilar, but partially\noverlapping directions, because the sites differed in orientation and location\nalong the shore relative to the southerly projection of Cabritte Horn (Fig.\n1). Europa Bay is exposed to waves from 135\\u00b0 to 250\\u00b0, and East\nCabritte to waves from 60\\u00b0 to 135\\u00b0. To capture these effects, the\nnumber of hours describing mean wave directions corresponding to each of these\ndirectional bins was quantified, without considering wave refraction around\nCabritte Horn. Wave height was not evaluated using data from this buoy, as its\ndistance from our study sites made estimates of wave height unreliable.\n \nIntegrated water motion was measured in situ using clod cards (Doty 1971) that\nwere prepared in a single batch for each deployment, dried to a constant\nweight at 50 \\u00b0C, and weighed prior to use. Clod cards had similar initial\nweights [128 \\u00b1 2 g (mean \\u00b1 SE, n = 78)], and were deployed in July\nand August 2014, and March 2015, and assigned to each site in a paired design\n(two clods per site). Clods were secured for 24\\u201348 h to posts ~ 30 cm\nabove the benthos at 9-m depth adjacent to, but outside of, the octocoral\ncanopy. Following deployment, clods were dried to a constant weight at 50\n\\u00b0C, and integrated water motion was evaluated from the dissolution of\nplaster in units of g day\\u22121.\n \nSedimentation was measured with sediment traps in two deployments for 8 and 9\ndays in 2014 (to begin a new measurement when a storm at the end of the first\ndeployment saturated the traps), and in a single deployment for 12 day in\n2015. Both sites were monitored simultaneously. The traps consisted of PVC\ntubes (20 \\u00d7 5 cm ID) that were deployed 60 cm above the benthos (Edmunds\nand Gray 2014). Traps were capped in situ, returned to the lab, and filtered\nthrough pre-weighed filters (Whatman #113). Filters and sediment were rinsed\nwith freshwater to remove salt, dried to a constant weight at 50 \\u00b0C, and\nweighed (\\u00b1 1 mg). Sedimentation was normalized by catchment area of the\ntraps, and time (mg cm\\u22122 day\\u22121).\n \nIn situ light intensity was measured using two integrating submersible light\nmeters (JFE-Advantech Compact-LW) fitted with a cosine-corrected collector\nsensitive to photosynthetically active radiation (PAR, 400\\u2013700 nm) and a\nwiper blade that cleaned the collector prior to each measurement. The meters\nwere deployed in a paired design at the two sites for 8 days in 2014 (August\n10\\u201315th and August 18\\u201319th) and 8 days in 2015 (March 3\\u201313th).\nEach meter was attached to a post at 9-m depth adjacent to the octocoral\ncommunity, but ~ 5 m from the nearest octocoral colony to avoid shading. Light\nintensity was recorded at 0.033 Hz, and data were used to generate two\ndependent variables, one recording the maximum daily intensity (\\u03bcmol\nm\\u22122 s\\u22121) and the other recording the intensity integrated over each\n24-h period (units of mol m\\u22122 day\\u22121).\n \nBenthic rugosity was determined along the five transects at each study plot\nusing a light chain (10-mm links) which was laid along each transect to\nconform to the reef surface. Rugosity was calculated as the quotient of the\nlinear distance and the conformed length of the chain (Luckhurst and Luckhurst\n1978).\n \nThe hypothesis that the sites differed in environmental parameters was tested\nwith univariate ANOVA using R (R Development Core Team 2008). Sediment traps\nand clods cards were not deployed at both sites in synchronous deployments due\nto logistical constraints, and these data were compared between sites and\ntimes using a two way, Model I ANOVA. Light intensity differs among days, and,\ntherefore, was compared between sites using a within-subject design in the aov\nfunction in R, accounting for variation over time by considering deployment\nday as a blocking factor. Substratum rugosity was compared between sites using\none-way ANOVA. In all cases, the ANOVA assumptions of normality and\nhomoscedasticity were tested through graphical analyses of residuals.\n \nOctocoral community structure\n \nSpecies richness:  \n Octocoral species richness was compared between sites based on 50 quadrats\n(1 \\u00d7 1 m) that were sequentially placed along the five, 10 m transects\nthat crossed the short axis of the study plots, and censused for octocoral\npresence. Surveys began in July and August 2014, and were concluded in\nFebruary and March 2015 (i.e., two field trips were required). Octocoral\ndiversity was determined using Pielou\\u2019s Evenness Index (J\\u00b4) (Pielou\n1966), and the Shannon\\u2013Wiener Diversity index, H\\u00b4 (Shannon 1948).\nThis study considered adult octocorals, and excluded recruits (i.e., colonies\n\\u2264 5 cm tall [HR Lasker, unpublished data]) from the surveys. However\ncolonies \\u2264 5 cm were censused if it was obvious that they had been larger\nadults that were reduced in size by predators. Octocorals were identified to\nthe lowest taxonomic-level possible, as determined through voucher samples\nthat were microscopically inspected for sclerites (after Bayer 1961).\nPreliminary sampling revealed 10 genera and 35 species at the two sites, but a\nsmall number (< 1.6%, n = 1290 colonies) could not be identified to species\nand were scored by genus (mostly Eunicea and Pseudoplexaura). Initial work\nindicated 39 nominal species (Edmunds and Lasker 2016), though subsequent\nanalysis refined the species count to 35 (this study). We do, however,\nhighlight the fact that the distinctions between Pseudoplexaura wagenaari and\nP. flagellosa, those between Plexaurella dichotoma and P. fusifera and and\nthose between Eunicea laxispica, Eunicea mammosa and Eunicea succinea are\ndifficult to make, especially in the field. For this study, we opted to\ndistinguish between these species in our analyses, based on the best\ninformation available (spicule analysis), but acknowledge that this might not\nalways be feasible in future studies, where pooling these pairs will\nfacilitate consistent long-term data series analyses using multiple observers.\nRarefaction curves (sensu Coleman et al. 1982) were used to evaluate the\nefficacy of the sampling regime (i.e., number of 1 m2 quadrats) in quantifying\noctocoral species abundance. At each site, the number of species as a function\nof sample size (number of quadrats) was analyzed using the specaccum option in\nthe vegan package (version 2.3.2) for R [R Development Core Team 2008 (Oksanen\net al. 2015)], and species abundance was evaluated by the asymptote of the\ncurves against sample size.\n \nColony abundance:  \n To compare community structure of octocoral colonies between sites, we\nrandomly subsampled 32 of the 50 quadrats (each 1 \\u00d7 1 m) along the\ntransects (described above) to remove the biases associated with uniform\nsampling (Sokal and Rohlf 1995). Densities (colonies m\\u22122) by species were\nlog(x) transformed and used to compute Bray\\u2013Curtis dissimilarity indices\nafter applying a dummy value (+ 1) to account for paired observations of zero\n(Clarke et al. 2006). Dissimilarity indices were compared between sites using\na one factor PERMANOVA with 999 permutations. Dissimilarity indices were\nproduced using the vegdist function, and PERMANOVA was performed using the\nADONIS function, both in the vegan package (version 2.3.2) for R [R\nDevelopment Core Team 2008 (Oksanen et al. 2015)]. A similarity percentage\nanalysis (SIMPER, Clarke 1993) was performed using the simper function in the\nvegan package (version 2.3.2) for R, and used to assess the contribution of\nindividual species to the total dissimilarity between sites. Spatial variation\nin multivariate community structure was visualized using ordination plots\ngenerated by non-metric dimensional scaling (NMDS) that were based on\nBray\\u2013Curtis dissimilarities (using the Vegan package in R).\n \nColony size:  \n The colony size\\u2013frequency distributions of the three most common\noctocorals that could be identified in the field (Antillogorgia americana,\nEunicea flexuosa, and Gorgonia ventalina) were compared between sites. Colony\nheights were surveyed using 1-m-wide belt transects placed along the five\ntransects dividing the study plots. Colonies were measured as encountered\nwithin these survey areas, with the objective of measuring 75\\u2013100\ncolonies of each species for each size class at each site. When too few\ncolonies were found to meet the target sample size, additional non-overlapping\nbelt transects were censused within the study plot to reach the target number\nof colonies. To test for differences in colony sizes for the three species\nbetween sites, one-way PERMANOVA with 999 permutations were performed\n(Anderson 2001) using the Adonis function in the vegan package (version 2.3.2)\nfor the R software [R Development Core Team 2008 (Oksanen et al. 2015)]. Two-\nsample Kolmogorov\\u2013Smirnov tests using the R software were performed to\ncompare the complete size\\u2013frequency distributions for each species\nbetween sites.\n \nCommunity structure resolved by genus versus by species:  \n To evaluate the effect of taxonomic resolution on the differences in\ncommunity structure detected between sites, multivariate analyses were\nconducted with genus- and species resolution, and the contribution of each\ngenus or species (respectively) to total dissimilarity between sites was\nresolved using SIMPER.
attribute NC_GLOBAL awards_0_award_nid String 562085
attribute NC_GLOBAL awards_0_award_number String OCE-1332915
attribute NC_GLOBAL awards_0_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1332915 (external link)
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 David L. Garrison
attribute NC_GLOBAL awards_0_program_manager_nid String 50534
attribute NC_GLOBAL cdm_data_type String Other
attribute NC_GLOBAL comment String Octocoral Transects \n  P. Edmunds, PI \n  Version 5 September 2018
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/ (external link)
attribute NC_GLOBAL data_source String extract_data_as_tsv version 2.3  19 Dec 2019
attribute NC_GLOBAL date_created String 2018-05-04T19:21:40Z
attribute NC_GLOBAL date_modified String 2019-03-26T19:13:20Z
attribute NC_GLOBAL defaultDataQuery String &amp;time&lt;now
attribute NC_GLOBAL doi String 10.1575/1912/bco-dmo.735137.1
attribute NC_GLOBAL Easternmost_Easting double -64.718817
attribute NC_GLOBAL geospatial_lat_max double 18.316717
attribute NC_GLOBAL geospatial_lat_min double 18.309183
attribute NC_GLOBAL geospatial_lat_units String degrees_north
attribute NC_GLOBAL geospatial_lon_max double -64.718817
attribute NC_GLOBAL geospatial_lon_min double -64.729933
attribute NC_GLOBAL geospatial_lon_units String degrees_east
attribute NC_GLOBAL infoUrl String https://www.bco-dmo.org/dataset/735137 (external link)
attribute NC_GLOBAL institution String BCO-DMO
attribute NC_GLOBAL keywords String bco, bco-dmo, biological, chemical, code, data, dataset, date, dmo, erddap, field, field_code, height, latitude, longitude, management, oceanography, office, pos, preliminary, side, site, species, time, transect, transect_m, transect_pos, transect_side
attribute NC_GLOBAL license String https://www.bco-dmo.org/dataset/735137/license (external link)
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/735137 (external link)
attribute NC_GLOBAL Northernmost_Northing double 18.316717
attribute NC_GLOBAL param_mapping String {'735137': {'lat': 'master - latitude', 'lon': 'master - longitude'}}
attribute NC_GLOBAL parameter_source String https://www.bco-dmo.org/mapserver/dataset/735137/parameters (external link)
attribute NC_GLOBAL people_0_affiliation String California State University Northridge
attribute NC_GLOBAL people_0_affiliation_acronym String CSU-Northridge
attribute NC_GLOBAL people_0_person_name String Peter J. Edmunds
attribute NC_GLOBAL people_0_person_nid String 51536
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 State University of New York at Buffalo
attribute NC_GLOBAL people_1_affiliation_acronym String SUNY Buffalo
attribute NC_GLOBAL people_1_person_name String Howard Lasker
attribute NC_GLOBAL people_1_person_nid String 562092
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 California State University Northridge
attribute NC_GLOBAL people_2_affiliation_acronym String CSU-Northridge
attribute NC_GLOBAL people_2_person_name String Dr Georgios Tsounis
attribute NC_GLOBAL people_2_person_nid String 565353
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 Hannah Ake
attribute NC_GLOBAL people_3_person_nid String 650173
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 St. John LTREB,VI Octocorals
attribute NC_GLOBAL projects_0_acronym String St. John LTREB
attribute NC_GLOBAL projects_0_description String Long Term Research in Environmental Biology (LTREB) in US Virgin Islands:\nFrom the NSF award abstract:\nIn 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.\nThe 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.\nThe following publications and data resulted from this project:\n2015    Edmunds PJ, Tsounis G, Lasker HR (2015) Differential distribution of octocorals and scleractinians around St. John and St. Thomas, US Virgin Islands. Hydrobiologia. doi: 10.1007/s10750-015-2555-zoctocoral - sp. abundance and distributionDownload complete data for this publication (Excel file)\n2015    Lenz EA, Bramanti L, Lasker HR, Edmunds PJ. Long-term variation of octocoral populations in St. John, US Virgin Islands. Coral Reefs DOI 10.1007/s00338-015-1315-xoctocoral survey - densitiesoctocoral counts - photoquadrats vs. insitu surveyoctocoral literature reviewDownload complete data for this publication (Excel file)\n2015   Privitera-Johnson, K., et al., Density-associated recruitment in octocoral communities in St. John, US Virgin Islands, J.Exp. Mar. Biol. Ecol. DOI 10.1016/j.jembe.2015.08.006octocoral recruitmentDownload complete data for this publication (Excel file)\n2014    Edmunds PJ. Landscape-scale variation in coral reef community structure in the United States Virgin Islands. Marine Ecology Progress Series 509: 137–152. DOI 10.3354/meps10891.\nData at MCR-VINP.\nDownload complete data for this publication (Excel file)\n2014    Edmunds PJ, Nozawa Y, Villanueva RD.  Refuges modulate coral recruitment in the Caribbean and Pacific.  Journal of Experimental Marine Biology and Ecology 454: 78-84. DOI: 10.1016/j.jembe.2014.02.00\nData at MCR-VINP.Download complete data for this publication (Excel file)\n2014    Edmunds PJ, Gray SC.  The effects of storms, heavy rain, and sedimentation on the shallow coral reefs of St. John, US Virgin Islands.  Hydrobiologia 734(1):143-148.\nData at MCR-VINP.Download complete data for this publication (Excel file)\n2014    Levitan, D, Edmunds PJ, Levitan K. What makes a species common? No evidence of density-dependent recruitment or mortality of the sea urchin Diadema antillarum after the 1983-1984 mass mortality.  Oecologia. DOI 10.1007/s00442-013-2871-9.\nData at MCR-VINP.Download complete data for this publication (Excel file)\n2014    Lenz EA, Brown D, Didden C, Arnold A, Edmunds PJ.  The distribution of hermit crabs and their gastropod shells on shallow reefs in St. John, US Virgin Islands.  Bulletin of Marine Science 90(2):681-692. https://dx.doi.org/10.5343/bms.2013.1049\nData at MCR-VINP.Download complete data for this publication (Excel file)\n2013    Edmunds PJ.  Decadal-scale changes in the community structure of coral reefs in St. John, US Virgin Islands.  Marine Ecology Progress Series 489: 107-123.\nData at MCR-VINP.Download complete data for this publication (zipped Excel files)\n2013    Brown D, Edmunds PJ.  Long-term changes in the population dynamics of the Caribbean hydrocoral Millepora spp.  J. Exp Mar Biol Ecol 441: 62-70. doi: 10.1016/j.jembe.2013.01.013Millepora colony sizeMillepora cover - temps - storms 1992-2008Millepora cover 1992-2008seawater temperature USVI 1992-2008storms USVI 1992-2008Download complete data for this publication (Excel file)\n2012    Brown D, Edmunds PJ. The hermit crab Calcinus tibicen lives commensally on Millepora spp. in St. John, United States Virgin Islands.  Coral Reefs 32: 127-135. doi: 10.1007/s00338-012-0948-2crab abundance and coral sizecrab displacement behaviorcrab nocturnal surveyscrab predator avoidanceDownload complete data for this publication (Excel file)\n2011    Green DH, Edmunds PJ.  Spatio-temporal variability of coral recruitment on shallow reefs in St. John, US Virgin Islands.  Journal of Experimenal Marine Biology and Ecology 397: 220-229.\nData at MCR-VINP.Download complete data for this publication (Excel file)\n2011    Colvard NB, Edmunds PJ. (2011) Decadal-scale changes in invertebrate abundances on a Caribbean coral reef.  Journal of Experimental Marine Biology and Ecology. 397(2): 153-160. doi: 10.1016/j.jembe.2010.11.015benthic invert codesinverts - Tektite and Yawzi Ptinverts - pooledDownload complete data for this publication (Excel file)
attribute NC_GLOBAL projects_0_end_date String 2014-04
attribute NC_GLOBAL projects_0_geolocation String St. John, U.S. Virgin Islands; California State University Northridge
attribute NC_GLOBAL projects_0_name String LTREB Long-term coral reef community dynamics in St. John, USVI: 1987-2019
attribute NC_GLOBAL projects_0_project_nid String 2272
attribute NC_GLOBAL projects_0_project_website String http://coralreefs.csun.edu/ (external link)
attribute NC_GLOBAL projects_0_start_date String 2009-05
attribute NC_GLOBAL projects_1_acronym String VI Octocorals
attribute NC_GLOBAL projects_1_description String 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.\nThis 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.\nNote: This project is closely associated with the project \"RAPID: Resilience of Caribbean octocorals following Hurricanes Irma and Maria\". See: https://www.bco-dmo.org/project/749653.\nThe following publications and data resulted from this project:\n2017 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: 10.1002/ecs2.1646Rainfall and temperature dataCoral and macroalgae abundance and distributionDescriptions of hurricanes affecting St. John\n2016 Gambrel, B. and Lasker, H.R. Marine Ecology Progress Series 546: 85–95, DOI: 10.3354/meps11670Colony to colony interactionsEunicea flexuosa interactionsGorgonia ventalina asymmetryNearest neighbor surveys\n2015 Lenz EA, Bramanti L, Lasker HR, Edmunds PJ. Long-term variation of octocoral populations in St. John, US Virgin Islands. Coral Reefs DOI 10.1007/s00338-015-1315-xoctocoral survey - densitiesoctocoral counts - photoquadrats vs. insitu surveyoctocoral literature reviewDownload complete data for this publication (Excel file)\n2015 Privitera-Johnson, K., et al., Density-associated recruitment in octocoral communities in St. John, US Virgin Islands, J.Exp. Mar. Biol. Ecol. DOI: 10.1016/j.jembe.2015.08.006octocoral density dependenceDownload complete data for this publication (Excel file)\nOther datasets related to this project:octocoral transects - adult colony height
attribute NC_GLOBAL projects_1_end_date String 2016-08
attribute NC_GLOBAL projects_1_geolocation String St. John, US Virgin Islands:  18.3185, 64.7242
attribute NC_GLOBAL projects_1_name String Ecology and functional biology of octocoral communities
attribute NC_GLOBAL projects_1_project_nid String 562086
attribute NC_GLOBAL projects_1_project_website String http://coralreefs.csun.edu/ (external link)
attribute NC_GLOBAL projects_1_start_date String 2013-09
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 Southernmost_Northing double 18.309183
attribute NC_GLOBAL standard_name_vocabulary String CF Standard Name Table v55
attribute NC_GLOBAL subsetVariables String transect_side
attribute NC_GLOBAL summary String Location, abundance, and size of various octocoral species in St. John, USVI from 2014 to 2015.
attribute NC_GLOBAL title String [Octocorals at East Cabritte and Europa Bay] - Location, abundance, and size of various octocoral species in St. John, USVI from 2014 to 2015. (LTREB Long-term coral reef community dynamics in St. John, USVI: 1987-2019)
attribute NC_GLOBAL version String 1
attribute NC_GLOBAL Westernmost_Easting double -64.729933
attribute NC_GLOBAL xml_source String osprey2erddap.update_xml() v1.3
variable site String
attribute site bcodmo_name String site
attribute site description String Study site
attribute site long_name String Site
attribute site units String unitless
variable latitude double
attribute latitude _CoordinateAxisType String Lat
attribute latitude _FillValue double NaN
attribute latitude actual_range double 18.309183, 18.316717
attribute latitude axis String Y
attribute latitude bcodmo_name String latitude
attribute latitude colorBarMaximum double 90.0
attribute latitude colorBarMinimum double -90.0
attribute latitude description String Latitude
attribute latitude ioos_category String Location
attribute latitude long_name String Latitude
attribute latitude nerc_identifier String https://vocab.nerc.ac.uk/collection/P09/current/LATX/ (external link)
attribute latitude standard_name String latitude
attribute latitude units String degrees_north
variable longitude double
attribute longitude _CoordinateAxisType String Lon
attribute longitude _FillValue double NaN
attribute longitude actual_range double -64.729933, -64.718817
attribute longitude axis String X
attribute longitude bcodmo_name String longitude
attribute longitude colorBarMaximum double 180.0
attribute longitude colorBarMinimum double -180.0
attribute longitude description String Longitude
attribute longitude ioos_category String Location
attribute longitude long_name String Longitude
attribute longitude nerc_identifier String https://vocab.nerc.ac.uk/collection/P09/current/LONX/ (external link)
attribute longitude standard_name String longitude
attribute longitude units String degrees_east
variable date String
attribute date bcodmo_name String date
attribute date description String Date
attribute date long_name String Date
attribute date nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/ (external link)
attribute date source_name String date
attribute date time_precision String 1970-01-01
attribute date units String unitless
variable transect_pos String
attribute transect_pos bcodmo_name String transect
attribute transect_pos description String Transect position; referring to the position within a 50x10m sampling area divided by 6 transects (0m; 10m; 20m; 30m; 40m; 50m) or random.
attribute transect_pos long_name String Transect Pos
attribute transect_pos units String unitless
variable field_code String
attribute field_code bcodmo_name String sample
attribute field_code description String Field code for octocoral species
attribute field_code long_name String Field Code
attribute field_code nerc_identifier String https://vocab.nerc.ac.uk/collection/P02/current/ACYC/ (external link)
attribute field_code units String unitless
variable species String
attribute species bcodmo_name String species
attribute species description String Octocoral species
attribute species long_name String Species
attribute species units String unitless
variable transect_side String
attribute transect_side bcodmo_name String transect
attribute transect_side description String L= left side of transect line; R= right side of the transect line (orientation towards the nearest coast)
attribute transect_side long_name String Transect Side
attribute transect_side units String unitless
variable transect_m byte
attribute transect_m _FillValue byte 127
attribute transect_m actual_range byte 0, 10
attribute transect_m bcodmo_name String transect
attribute transect_m description String Distance in meters along the transect line starting opposite of the shore side
attribute transect_m long_name String Transect M
attribute transect_m units String meters
variable height byte
attribute height _FillValue byte 127
attribute height actual_range byte 0, 118
attribute height bcodmo_name String height
attribute height description String Height in cm of cotcoroal colonies measured from the base to the farthest tips
attribute height long_name String Height
attribute height units String centimeters

 
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