http://lod.bco-dmo.org/id/dataset/664267
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)
Storm record from St. John, USVI in 1987–2011 (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.664760
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) Storm record from St. John, USVI in 1987–2011 (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.664760 [access date]
Names and descriptions of hurricanes near St. John USVI. Dataset Description: <p>Names and descriptions of hurricanes near St. John USVI.</p> Methods and Sampling: <p><strong>Based on Tsounis and Edmunds (In press), Ecosphere:&nbsp;</strong></p>
<p>Physical environmental conditions were characterized using three features that are well-known to affect coral reef community dynamics (described in Glynn 1993, Rogers 1993, Fabricius et al. 2005): seawater temperature, rainfall, and hurricane intensity. Together, these were used to generate seven dependent variables describing physical environmental features. Seawater temperature was recorded at each site every 15-30 min using a variety of logging sensors (see Edmunds 2006 for detailed information on the temperature measurement regime). Seawater temperature was characterized using five dependent variables calculated for each calendar year: mean temperature, maximum temperature, and minimum temperature (all averaged by day and month for each year), as well as the number of days hotter than 29.3 deg C (“hot days”), and the number of days with temperatures greater than or equal to 26.0 deg C (“cold days”). The temperature defining "hot days" was determined by the coral bleaching threshold for St. John (<a href="http://www.coral.noaa.gov/research/climate-change/coral-bleaching.html" target="_blank">http://www.coral.noaa.gov/research/climate-change/coral-bleaching.html</a>), and the temperature defining "cold days" was taken as 26.0 deg C which marks the lower 12th percentile of all daily temperatures between 1989 and 2005 (Edmunds, 2006). The upper temperature limit was defined by the local bleaching threshold, and the lower limit defined the 12th&nbsp;percentile of local seawater temperature records (see Edmunds 2006 for details). Rainfall was measured at various locations around St. John (see <a href="http://www.sercc.com" target="_blank">http://www.sercc.com</a>) but often on the north shore (courtesy of R.&nbsp;Boulon) (see Edmunds and Gray 2014). To assess the influence of hurricanes, a categorical index of local hurricane impact was employed, with the index based on qualitative estimates of wave impacts in Great Lameshur Bay as a function of wind speed, wind direction, and distance of the nearest approach of each hurricane to the study area (see Gross and Edmunds 2015). Index values of 0 were assigned to years with no hurricanes, 0.5 to hurricanes with low impacts, and 1 for hurricanes with high impacts, and years were characterized by the sum of their hurricane index values.</p>
Funding provided by NSF Division of Environmental Biology (NSF DEB) Award Number: DEB-0841441 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=0841441
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1332915 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1332915
Funding provided by NSF Division of Environmental Biology (NSF DEB) Award Number: DEB-1350146 Award URL: https://www.nsf.gov/awardsearch/show-award?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
year
hurricane_name
distance
wind
interp_distance
interp_wind
interp_date
lameshur_wind
hurricaneSeverityIndex
theme
None, User defined
year
No BCO-DMO term
wind_speed
year day (Day of Year, or day of year and decimal time)
featureType
BCO-DMO Standard Parameters
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="http://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="http://dmoserv3.whoi.edu/data_docs/St_John_LTREB/octocorals/Lenzetal_CR_MetaDataSTJ2015_BCODMO_2015-07-15.xls">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="http://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="http://dmoserv3.whoi.edu/data_docs/St_John_LTREB/octocorals/MetaData_KPJetal_JEMBE2015_STJ_Octocorals.xlsx">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
2011-12-31
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 Storm record from St. John, USVI in 1987–2011 (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/664638.rdf
Name: year
Units: unitless
Description: <p>Year of hurricane; YYYY</p>
http://lod.bco-dmo.org/id/dataset-parameter/664639.rdf
Name: hurricane_name
Units: unitless
Description: <p>Name of hurricane</p>
http://lod.bco-dmo.org/id/dataset-parameter/664640.rdf
Name: distance
Units: kilometers
Description: <p>Distance of the closest recorded point to Lameshur Bay based on NOAAs every-6-hour data recording</p>
http://lod.bco-dmo.org/id/dataset-parameter/664641.rdf
Name: wind
Units: miles per hour
Description: <p>Windspeed of the sustained winds for the data point at which the storm made its closest pass to Lameshur Bay</p>
http://lod.bco-dmo.org/id/dataset-parameter/664642.rdf
Name: interp_distance
Units: kilometers
Description: <p>Distance of the closest approach to Lameshur Bay based on linearly interpolating the storm track between NOAAs data points</p>
http://lod.bco-dmo.org/id/dataset-parameter/664643.rdf
Name: interp_wind
Units: kilometers
Description: <p>Windspeed of the sustained winds at the point of closest approach to Lameshur Bay, based on linearly interpolating the wind speed from NOAAs measurements</p>
http://lod.bco-dmo.org/id/dataset-parameter/664644.rdf
Name: interp_date
Units: unitless
Description: <p>Julian date of the closest approach linearly interpolated</p>
http://lod.bco-dmo.org/id/dataset-parameter/664645.rdf
Name: lameshur_wind
Units: miles per hour
Description: <p>Windspeed at Lameshur Bay at the moment of closest approach based on an exponential decay function for windspeed with increasing distance from the storm center and a decay rate of 0.016 km^-1 as reported in PJEs Millepora paper</p>
http://lod.bco-dmo.org/id/dataset-parameter/664646.rdf
Name: hurricaneSeverityIndex
Units: unitless
Description: <p>Major (=1) / minor (=0.5) storm classification based on lines 262-271 of Pete Emunds draft 25y of change manuscript. (Note that corresponding text was cut from the final version of the publication.)</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
977
https://darchive.mblwhoilibrary.org/bitstream/1912/8521/1/data_descriptions-hurricanes-affecting-st-john.tsv
download
https://doi.org/10.1575/1912/bco-dmo.664760
download
onLine
dataset
<p><strong>Based on Tsounis and Edmunds (In press), Ecosphere:&nbsp;</strong></p>
<p>Physical environmental conditions were characterized using three features that are well-known to affect coral reef community dynamics (described in Glynn 1993, Rogers 1993, Fabricius et al. 2005): seawater temperature, rainfall, and hurricane intensity. Together, these were used to generate seven dependent variables describing physical environmental features. Seawater temperature was recorded at each site every 15-30 min using a variety of logging sensors (see Edmunds 2006 for detailed information on the temperature measurement regime). Seawater temperature was characterized using five dependent variables calculated for each calendar year: mean temperature, maximum temperature, and minimum temperature (all averaged by day and month for each year), as well as the number of days hotter than 29.3 deg C (“hot days”), and the number of days with temperatures greater than or equal to 26.0 deg C (“cold days”). The temperature defining "hot days" was determined by the coral bleaching threshold for St. John (<a href="http://www.coral.noaa.gov/research/climate-change/coral-bleaching.html" target="_blank">http://www.coral.noaa.gov/research/climate-change/coral-bleaching.html</a>), and the temperature defining "cold days" was taken as 26.0 deg C which marks the lower 12th percentile of all daily temperatures between 1989 and 2005 (Edmunds, 2006). The upper temperature limit was defined by the local bleaching threshold, and the lower limit defined the 12th&nbsp;percentile of local seawater temperature records (see Edmunds 2006 for details). Rainfall was measured at various locations around St. John (see <a href="http://www.sercc.com" target="_blank">http://www.sercc.com</a>) but often on the north shore (courtesy of R.&nbsp;Boulon) (see Edmunds and Gray 2014). To assess the influence of hurricanes, a categorical index of local hurricane impact was employed, with the index based on qualitative estimates of wave impacts in Great Lameshur Bay as a function of wind speed, wind direction, and distance of the nearest approach of each hurricane to the study area (see Gross and Edmunds 2015). Index values of 0 were assigned to years with no hurricanes, 0.5 to hurricanes with low impacts, and 1 for hurricanes with high impacts, and years were characterized by the sum of their hurricane index values.</p>
Specified by the Principal Investigator(s)
<p><strong>Based on Tsounis and Edmunds (In press), Ecosphere:&nbsp;</strong></p>
<p>Temporal trends of physical parameters were tested through linear regression using 3-year centered moving averages to address the lag of response of benthic community structure to environmental conditions (resulting in the loss of 2 y from the dataset).</p>
<p>Question 2. The seven physical environmental variables were tested for collinearity by screening variables by pairwise linear correlation. This procedure identified four variables that were independent, and these were used for subsequent analyses: hurricane index (Hindex), mean seawater temperature (deg C), rainfall (cm), and minimum seawater temperature (deg C). The physical variables were transformed using 3-year, centered moving averages of each dependent variable to smooth short-term fluctuations arising from stochastic effects, and to address delayed effects of environmental conditions on the communities. As physical conditions were measured on different scales, they were z-score standardized prior to analysis (Sokal and Rohlf&nbsp;2012),&nbsp;and expressed as resemblance matrix based on Euclidean distances.</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>BCO-DMO Processing Notes:</strong></p>
<p>-Reformatted column names to comply with BCO-DMO standards.</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
Deployment: Edmunds_VINP
Edmunds_VINP
Virgin Islands National Park
shoreside
Edmunds_VINP
Peter J. Edmunds
California State University Northridge
Virgin Islands National Park
shoreside