https:\/\/coralreefwatch.noaa.gov\/<\/a>, accessed 28 September 2020) using Regional Virtual Stations for the Society Archipelago and the Virgin Islands. Each Virtual Station consists of a 5 \u00d7 5 km cell in which nighttime SST is reported, as calibrated to 20 cm depth, with the Society Archipelago station centered at -16.9500\u00b0, -151.3750\u00b0, 167 km northwest of Mo'orea, and the Virgin Islands station centered at 18.200\u00b0, -64.5500\u00b0, 22 km southeast of St. John. Daily SST was accessed from January 1985 to September 2020, and records were used evaluate the 95% confidence intervals for daily values across a year.<\/p>\nStatistical Analysis<\/strong><\/p>\nOne-way PERMANOVAs were used to compare recruitment, and year-year changes in recruitment, among habitats\/regions; post-hoc, pair-wise contrasts were completed with permutational t-tests. Repeated measures (RM) PERMANOVAs were used to compare recruitment among years (RM factor) within habitats\/regions. PERMANOVAs were prepared using square-root transformed data and resemblance matrices containing Bray-Curtis dissimilarities, and results are reported as Pseudo-F values and their permutational probabilities (pperm). Contingency tables were used to test for independence between outcomes of year-year changes in recruitment (increases versus decreases) for pairs of years with delays of 1, 2, and 3 years. Each contingency table was tested for independence using ??2 tests with Yates correction for small sample sizes. To evaluate whether short-term variation in recruitment (i.e., over 1 year) was an accurate predictor of future trends in recruitment, Pearson correlations were used to test for association between year-year changes in recruitment and subsequent linear trends for variation in recruitment over time.<\/p>\n
Before testing the second hypothesis that motivated the present study (that recruitment is associated with temperature), the relationships between coral recruitment and coral cover were explored using least squares regression for linear and quadratic functions, with the best model selected using AICc. Analyses were completed for all corals, Poritidae and Pocilloporidae in Mo'orea, and for all corals and Poritidae in St. John, with these taxa selected based on their high abundance. Although it was reasonable to expect that the relationship between coral recruitment and coral abundance would not be well developed, in part because of the capacity for widespread dispersal of corals, under some conditions it can be well developed. Therefore evaluating the extent to which coral recruitment was associated with coral cover was a necessary step to evaluating the relationships between recruitment and temperature. The statistical approaches were similar to those used to explore the relationships between recruitment and temperature. Analyses were completed using recruitment and temperature recorded over concurrent 12-month periods, and were repeated with temperature lagged by one year (i.e., to test for associations with temperature recorded 12-24 months before). The lagging of temperature provided insight into the effects on adult corals that would produce larvae in the following year.<\/p>\n
Statistical analyses were completed using Systat 13 software for parametric tests, and PERMANOVA+ for PRIMER for permutational tests.<\/p><\/div>","@type":"rdf:HTML"}],"http:\/\/ocean-data.org\/schema\/hasBriefDescription":[{"@value":"recruitment","@language":"en-US"}],"http:\/\/purl.org\/dc\/terms\/description":[{"@value":"
Overview<\/strong><\/p>\nThe reefs in Mo'orea and St. John have been monitored for decades, and recent publications from these efforts provide the ecological background to fully interpret the present results. Coral cover (pooled among taxa) for all three habitats in Mo'orea, as well as St. John, are presented, with these data originating from photoquadrats (0.5 \u00d7 0.5 m) that have been recorded annually at permanent locations from 2005 to 2019. In brief, in Mo'orea, the three habitats were sampled at six sites around the island, with 40 photoquadrats\/site at 10-m and 17-m depth on the fore reef, and 20 photoquadrats\/bommie, and five bommies\/site, in the back reef. In 2005, photoquadrats were randomly positioned along a ~ 50 m transect at 10-m and 17-m depth at each site on the fore reef, and thereafter were sampled in the same positions. Five photoquadrats were randomly positioned along four, 5-m transects along cardinal axes at each bommie every year. In St. John, the fringing reefs (at 7-9-m depth) were sampled at six sites, with 40 photoquadrats randomly positioned every year along a single 40-m transect at each site.<\/p>\n
Photoquadrats from the fore reef and from St. John were analyzed using CoralNet Software, with 200 dots randomly located on each image, and the substratum beneath each dot identified. The photoquadrats in the back reef were analyzed with a coarser resolution in which the dominant substratum is each of 25 sub-squares in each photoquadrat was identified (i.e., providing 4% resolution). The cover of scleractinians (pooled among taxa) is presented using sites as replicates, and mean cover by year is used in tests of association with concurrent coral recruitment.<\/p>\n
To test the hypotheses guiding the present study, coral recruitment was measured in Mo'orea and St. John using settlement tiles deployed from 2005 to 2019, and loggers were used to measure temperature. The immersion times of settlement tiles slightly differed between regions because the two sampling programs originally were designed for different purposes.<\/p><\/div>","@type":"rdf:HTML"}],"http:\/\/www.w3.org\/2000\/01\/rdf-schema#label":[{"@value":"Edmunds 2020 L&O: recruitment","@type":"xsd:string"}],"http:\/\/ocean-data.org\/schema\/hasProcessingDescription":[{"@value":"
BCO-DMO Data Manager Processing Notes:<\/strong>
\n- Original data submitted as in Excel file \"Data in Paper 2 October 2020 copy.xlsx\" sheet \"Fig. 2_3_6_recruitment\" extracted to csv.\u00a0
\n- added a conventional header with dataset name, PI name, version date
\n- modified parameter names to conform with BCO-DMO naming conventions (spaces changed to underscores).\u00a0
\n- \"n\/a\" in this dataset are displayed as \"nd\" for \"no data.\" nd is the default missing data identifier in the BCO-DMO system.
\n- added latitudes and longitudes for sites.
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S3 and S4 in Edmunds, P. J. (2020) L&O. Data are from Mo'orea and St. John, VI from 2006-2019.","@language":"en-US"}],"http:\/\/purl.org\/dc\/terms\/rights":[{"@id":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"http:\/\/ocean-data.org\/schema\/deprecated":[{"@value":"false","@type":"xsd:boolean"}],"http:\/\/ocean-data.org\/schema\/temporalExtent":[{"@value":"_:temporalExtent832431"}],"http:\/\/ocean-data.org\/schema\/spatialCoverage":[{"@value":"_:spatialCoverage832431"}],"http:\/\/purl.org\/dc\/terms\/bibliographicCitation":[{"@value":"Edmunds, P. J. (2020) Coral recruitment data to support the core analyses from Mo'orea and St. John, VI from 2006-2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). 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