{"@context":{"content":"http:\/\/purl.org\/rss\/1.0\/modules\/content\/","dc":"http:\/\/purl.org\/dc\/terms\/","foaf":"http:\/\/xmlns.com\/foaf\/0.1\/","og":"http:\/\/ogp.me\/ns#","rdfs":"http:\/\/www.w3.org\/2000\/01\/rdf-schema#","sioc":"http:\/\/rdfs.org\/sioc\/ns#","sioct":"http:\/\/rdfs.org\/sioc\/types#","skos":"http:\/\/www.w3.org\/2004\/02\/skos\/core#","xsd":"http:\/\/www.w3.org\/2001\/XMLSchema#","owl":"http:\/\/www.w3.org\/2002\/07\/owl#","rdf":"http:\/\/www.w3.org\/1999\/02\/22-rdf-syntax-ns#","rss":"http:\/\/purl.org\/rss\/1.0\/","site":"https:\/\/www.bco-dmo.org\/ns#","odo":"http:\/\/ocean-data.org\/schema\/","emo":"http:\/\/ocean-data.org\/schema\/entity-matching#","bibo":"http:\/\/purl.org\/ontology\/bibo\/","crypto":"http:\/\/id.loc.gov\/vocabulary\/preservation\/cryptographicHashFunctions\/","bcodmo":"http:\/\/lod.bco-dmo.org\/id\/","tw":"http:\/\/tw.rpi.edu\/schema\/","dcat":"http:\/\/www.w3.org\/ns\/dcat#","time":"http:\/\/www.w3.org\/2006\/time#","geo":"http:\/\/www.w3.org\/2003\/01\/geo\/wgs84_pos#","geosparql":"http:\/\/www.opengis.net\/ont\/geosparql#","sf":"http:\/\/www.opengis.net\/ont\/sf#","void":"http:\/\/rdfs.org\/ns\/void#","sd":"http:\/\/www.w3.org\/ns\/sparql-service-description#","dctype":"http:\/\/purl.org\/dc\/dcmitype\/","prov":"http:\/\/www.w3.org\/ns\/prov#","schema":"http:\/\/schema.org\/","geolink":"http:\/\/schema.geolink.org\/1.0\/base\/main#","spdx":"http:\/\/spdx.org\/rdf\/terms#","bcodmo_vocab":"http:\/\/schema.bco-dmo.org\/"},"@id":"http:\/\/lod.bco-dmo.org\/id\/dataset\/739882#graph","@graph":[{"http:\/\/lod.bco-dmo.org\/id\/dataset\/739882":{"@id":"http:\/\/lod.bco-dmo.org\/id\/dataset\/739882","@type":["http:\/\/ocean-data.org\/schema\/DeploymentDatasetCollection","http:\/\/www.w3.org\/ns\/dcat#Dataset","http:\/\/ocean-data.org\/schema\/Dataset"],"http:\/\/ocean-data.org\/schema\/hasAcquisitionDescription":[{"@value":"
Light was measured as the radiant energy between 400 and 700 nm wavelength (i.e., PAR, \u03bcmol quanta m-2 s-1) as Photosynthetic Photon Flux Density (PPFD). In situ light was measured using two logging meters fitted with a cosine-corrected PAR sensor and wiper (Compact LW, JFE Advantech Co., Ltd, Japan), that were deployed at ~ 19.1-m depth (height of the sensor) in Great Lameshur Bay (18\u00b0 18 \u0301 37.04N, 63\u00b0 43 \u0301 23.17W).<\/p>\n
These instruments recorded downwelling PAR, and were deployed six times from 2014and 2017, from August to March and from March to August. The meters were operated in burst mode, during which they would wake up, clean the sensor with a wiper, and record a burst of multiple records before returning to sleep. The Compact LW meter is designed for oceanographic applications to 200 m depths, is fitted with a photodiode sensor, and has a stated accuracy of \u00b1 4% (over 0\u20132000 \u03bcmol photons m2 s-1) and resolution of 0.1 \u03bcmol photons m2 s-1. Both meters were purchased new for this study, and were deployed individually and sequentially between field samplings with comparisons between consecutive deployments used to screen for calibration drift. One sensor was used for a combined duration of 16 months during, and the other sensor was used for 4 months, returned to the manufacturer for servicing (May 2016), and then used again for 3 months. In between deployments, sensors were inspected for abrasions that would affect calibration, and were carefully cleaned with vinegar.<\/p>\n
Different configurations of the meter were employed to prolong battery life. In the first and second deployments (starting 21 August 2014 and 19 March 2015, respectively), a burst of 10 measurements was recorded at 0.033 Hz (i.e., every 30 s) every 1.5 h; the instrument failed during the third deployment (starting August 2015); in the fourth and fifth deployments (starting 16 March 2016 and 29 July 2016, respectively) a burst of 10 measurements was recorded at 0.033 Hz every 1.0 h; and in the sixth deployment(starting 23 February 2017) a burst of 30 measurements was recorded at 0.100 Hz (i.e.,every 10 s) every 2.0 h. The timing of bursts was not standardized to local time and, therefore, the number and timing of bursts bracketing noon (which were used to calculate transmission, described below) differed among deployments. The sampling frequency within each burst was sufficient to alleviate the bias resulting from wave-induced light flecking (Zheng et al. 2002). As a result of varying power demands of each sampling configuration, the meter did not always record for the full duration of each deployment.\u00a0<\/p>\n
Surface light was recorded with two cosine-corrected PAR sensor (S-LIA-M003, OnsetComputer Corporation) attached to loggers (Micro Station Data Logger H21-002, OnsetComputer Corporation) recording at 0.0033 Hz (i.e., every 5 minutes). The sensors were calibrated by the manufacturers, and were mounted ~ 4-m above sea level adjacent to Great Lameshur Bay (18\u00b0 19 \u0301 6.61N, 64\u00b0 43 \u0301 27.73W), and ~ 0.875 km from the sensor recording in situ light. The paired surface sensors were used to ensure data integrity should one sensor fail, and the paired deployments provided a means to detect erroneous records due to sensor drift or failure. The surface sensors were downloaded, reprogrammed, and cleaned in July of each year, and have been deployed for 11 y(from 2007). Here, surface light data for 2014-2017 are presented to provide temporal concordance with the submerged sensor.<\/p><\/div>","@type":"rdf:HTML"}],"http:\/\/ocean-data.org\/schema\/hasBriefDescription":[{"@value":"Kd averages calculated by month from studies conducted in St. John, US Virgin Islands from 2014-2017.","@language":"en-US"}],"http:\/\/purl.org\/dc\/terms\/description":[{"@value":"
Kd averages calculated by month from studies conducted in St. John, US Virgin Islands from 2014-2017.<\/p><\/div>","@type":"rdf:HTML"}],"http:\/\/www.w3.org\/2000\/01\/rdf-schema#label":[{"@value":"Kd averages","@type":"xsd:string"}],"http:\/\/ocean-data.org\/schema\/hasProcessingDescription":[{"@value":"
In situ light data were averaged by burst, and burst means were paired with measurements of surface light at the same time to calculate the percent transmission to 1-m depth (TPAR-19). These values underestimate water column light extinction when the sun is low in the sky and light is strongly reflected from the seawater surface and, therefore, daily transmission calculations used averages of several measurements bracketing noon. At these times, the sun was approximately overhead, and mo<\/p>\n
In situ light data were averaged by burst, and burst means were paired with measurements of surface light at the same time to calculate the percent transmission to 1-m depth (TPAR-19). These values underestimate water column light extinction when the sun is low in the sky and light is strongly reflected from the seawater surface and, therefore, daily transmission calculations used averages of several measurements bracketing noon. At these times, the sun was approximately overhead, and most\u00a0light\u00a0entered the water rather than being reflected. In the first and second deployments, TPAR-19 was based on measurements at 10:30 hrs, 12:00 hrs and 13:30 hrs; in the fourth deployment, TPAR-19 was based on measurements at 11:00 hrs, 12:00 hrs, and 13:00hrs; in the fifth deployment, TPAR-19 was based on measurements at 11:45 hrs, 12:45 hrs and 13:45 hrs; and in the sixth deployment, TPAR-19 was based on measurements at11:00 hrs and 13:00 hrs. Daily TPAR-19 values were summarized by month as the maximum, minimum, mean, and SE, and their frequency distributions explored by season. Light intensities at 19.1-m depth were also used to calculate the diffuse attenuation coefficient for PAR (Kd-PAR) using the equation representing the Beer-Lambert Law:<\/p>\n
Ed (Z) = Ed (O-) e-Kd \u00d7 Z<\/p>\n
where Ed(Z) is the downwelling irradiance at Z m depth, Ed(O-) is downwelling irradiance just below the surface of the seawater, and Kd is the diffuse attenuation coefficient for downwelling irradiance. Ed(O-) was approximated from surface PPFD, which shows ~96 percent transmission through the air-sea interface when sun altitudes are high (greater than 46 deg) and wind speeds are low (less than 5\u00a0m s-1) (Gregg and Carder 1990). This method of calculating Kd is prone to larger\u00a0variance that the more standard regression approach using downwelling irradiances measured in quick succession at multiple depths (Kirk 2011),but\u00a0it allows a time-series of Kd values to be obtained using modest equipment resources. Calculations of the possible magnitude of this variance suggested Kd would vary +\/- 5 percent if Ed(Z) varied +\/- 10 percent. Assuming seawater in Great Lameshur Bay is vertically homogeneous with regard to the factors affecting downwelling irradiance, Kd-PAR can be used to calculate PPFD by depth, although assigning causation to variation in Kd-PAR is problematic due to its summative origin in the scatter and absorption of water, dissolved pigments, photosynthetic biota, and inanimate particulate matter (Kirk 2011). Surface\u00a0light was integrated over each day after excluding values less than 3 \u03bcmol quanta m-2 s-1 (i.e.,effectively\u00a0darkness), and averaged by month to characterize the daily availability ofPAR (mol quanta m-2 s-1). Finally, to evaluate the biological implications of Kd-PAR for St.John, equivalent values for seawater were compiled from the literature.<\/p>\n
The objective of this paper is to describe the underwater light environment on a coral reef over scales of time that have relevance to understanding biological processes mediating coral reef community dynamics. While it is beyond the scope of this study to comprehensively explore such\u00a0effects,\u00a0or to develop a\u00a0bio-physical\u00a0model with which they can be integrated, it is valuable to a consider a simple case in which variation in underwater light intensity could affect reef corals. We develop this case to consider the effects of light on the energetic status of a symbiotic coral through the balance between gross photosynthesis and aerobic respiration as described in one study using the common Caribbean coral Porites porites from 10-m depth on the fore reef of DiscoveryBay, Jamaica (Edmunds 1986). We present the outcome of these calculations, which use published values for aerobic respiration and the hyperbolic tangent function relating light intensity to gross photosynthesis, with the present study generating the light intensities inserted into this function. Daily gross photosynthesis for P. porites was equated to the 24 h aerobic respiratory demand (Edmunds and Davies 1986), and with a currency of Joules, gross photosynthesis was calculated using the hyperbolic tangent describing photosynthesis as a function of light intensity (with 5-min resolution), and dark aerobic respiration over 24 h (see Table 2 in Edmunds and Davies 1986). In situ daily light was calculated as 12 h sine curves with a maximum irradiance corresponding to the maximum surface irradiance attenuated using Kd (determined empirically in the present study) to the value at 10-m depth. With this method, the quotient p12h\u00a0grosss\/R 24h provides a rough indication of the capacity for photosynthesis by endosymbiotic Symbiodinium algae to meet the daily energy requirements of aerobic respiration; values\u00a0greather\u00a0than or equal to 1 suggest energy surplus to the daily needs might be produced. While\u00a0use\u00a0of the quotient p12h\u00a0grosss\/R 24h\u00a0to evaluate the energetic status of corals has important\u00a0limitations,\u00a0and has been superseded by more sophisticated and accurate approaches (Lesser 2013), in the present case it served as an effective measure of the relative impacts of\u00a0differing\u00a0light regimes on coral energetics.<\/p>\n
BCO-DMO Data Processing Notes:<\/strong><\/p>\n -Combined both tables under \"fig 2\" from paper to this dataset
\n-Changed month names to be full names instead of abbreviations
\n-Added underscores to column names
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