Patterns in Temporal Variability of Temperature, Oxygen and pH along an Environmental Gradient in a Coral Reef
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{"title"=>"Patterns in temporal variability of temperature, oxygen and pH along an environmental gradient in a coral reef", "type"=>"journal", "authors"=>[{"first_name"=>"Òscar", "last_name"=>"Guadayol", "scopus_author_id"=>"22133951500"}, {"first_name"=>"Nyssa J.", "last_name"=>"Silbiger", "scopus_author_id"=>"23111922000"}, {"first_name"=>"Megan J.", "last_name"=>"Donahue", "scopus_author_id"=>"7102453282"}, {"first_name"=>"Florence I M", "last_name"=>"Thomas", "scopus_author_id"=>"7401928913"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"doi"=>"10.1371/journal.pone.0085213", "sgr"=>"84896936990", "issn"=>"19326203", "pui"=>"372704121", "isbn"=>"1932-6203", "pmid"=>"24416364", "scopus"=>"2-s2.0-84896936990"}, "id"=>"6e4f3281-b305-3426-b0ac-a6436ffe4a17", "abstract"=>"Spatial and temporal environmental variability are important drivers of ecological processes at all scales. As new tools allow the in situ exploration of individual responses to fluctuations, ecologically meaningful ways of characterizing environmental variability at organism scales are needed. We investigated the fine-scale spatial heterogeneity of high-frequency temporal variability in temperature, dissolved oxygen concentration, and pH experienced by benthic organisms in a shallow coastal coral reef. We used a spatio-temporal sampling design, consisting of 21 short-term time-series located along a reef flat-to-reef slope transect, coupled to a long-term station monitoring water column changes. Spectral analyses revealed sharp gradients in variance decomposed by frequency, as well as differences between physically-driven and biologically-reactive parameters. These results highlight the importance of environmental variance at organismal scales and present a new sampling scheme for exploring this variability in situ.", "link"=>"http://www.mendeley.com/research/patterns-temporal-variability-temperature-oxygen-ph-along-environmental-gradient-coral-reef-1", "reader_count"=>68, "reader_count_by_academic_status"=>{"Unspecified"=>5, "Student > Doctoral Student"=>5, "Researcher"=>17, "Student > Ph. D. Student"=>16, "Student > Postgraduate"=>2, "Student > Master"=>14, "Other"=>1, "Student > Bachelor"=>7, "Lecturer"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>5, "Student > Doctoral Student"=>5, "Researcher"=>17, "Student > Ph. D. Student"=>16, "Student > Postgraduate"=>2, "Student > Master"=>14, "Other"=>1, "Student > Bachelor"=>7, "Lecturer"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>1, "Unspecified"=>5, "Environmental Science"=>15, "Biochemistry, Genetics and Molecular Biology"=>1, "Agricultural and Biological Sciences"=>37, "Earth and Planetary Sciences"=>9}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>9}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>37}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>5}, "Environmental Science"=>{"Environmental Science"=>15}}, "reader_count_by_country"=>{"Belgium"=>1, "United States"=>2, "Brazil"=>1, "Australia"=>3, "Germany"=>1}, "group_count"=>1}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1341180"], "description"=>"<p>Amplitude of oscillations at particular frequency ranges derived from the partition of variances performed with spectral analyses, assuming normal distributions and applying the empirical rule. The amplitude of climate change for temperature corresponds to the estimated changes between 1906 and 2005 <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0085213#pone.0085213-Bindoff1\" target=\"_blank\">[51]</a>. The climate change value for pH corresponds to the decrease in surface pH between 1750 and 1994 derived from estimated uptake of anthropogenic CO<sub>2</sub> by the ocean <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0085213#pone.0085213-Dove1\" target=\"_blank\">[52]</a>. Seasonal signals are derived from the long-term time series.</p>", "links"=>[], "tags"=>["ecology", "Marine ecology", "Coral reefs", "Coastal ecology", "ecosystems", "Marine biology", "Marine monitoring", "marine and aquatic sciences", "oceans", "Pacific Ocean", "fluctuations"], "article_id"=>896224, "categories"=>["Biological Sciences", "Earth and Environmental Sciences"], "users"=>["Òscar Guadayol", "Nyssa J. Silbiger", "Megan J. Donahue", "Florence I. M. Thomas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0085213.t002", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Amplitude_of_fluctuations_at_different_frequency_ranges_/896224", "title"=>"Amplitude of fluctuations at different frequency ranges.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-08 02:58:45"}
  • {"files"=>["https://ndownloader.figshare.com/files/1341178"], "description"=>"<p>Amplitudes <i>A</i> are calculated from decomposed variances, assuming that all parameters have a normal distribution, as <i>A</i> = 4·√σ2. Vertical dash lines mark the position of the long-term time series station.</p>", "links"=>[], "tags"=>["ecology", "Marine ecology", "Coral reefs", "Coastal ecology", "ecosystems", "Marine biology", "Marine monitoring", "marine and aquatic sciences", "oceans", "Pacific Ocean", "oscillations"], "article_id"=>896222, "categories"=>["Biological Sciences", "Earth and Environmental Sciences"], "users"=>["Òscar Guadayol", "Nyssa J. Silbiger", "Megan J. Donahue", "Florence I. M. Thomas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0085213.g006", "stats"=>{"downloads"=>0, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Amplitudes_of_oscillations_by_frequency_ranges_/896222", "title"=>"Amplitudes of oscillations by frequency ranges.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-08 02:58:45"}
  • {"files"=>["https://ndownloader.figshare.com/files/1341175"], "description"=>"<p>Variance decomposition of temperature, dissolved O<sub>2</sub> concentration and pH for each one of the deployments along the inshore/offshore transect. Left axes scale absolute variances (black lines), and right axes the relative contribution (in %) of each frequency range to total variance. Sites are ordered from shallowest and closest to shore (S1) to deepest and most offshore (S21). The asterisk marks the average values from the long-term water column station, positioned within the transect according to its depth.</p>", "links"=>[], "tags"=>["ecology", "Marine ecology", "Coral reefs", "Coastal ecology", "ecosystems", "Marine biology", "Marine monitoring", "marine and aquatic sciences", "oceans", "Pacific Ocean", "decomposition"], "article_id"=>896219, "categories"=>["Biological Sciences", "Earth and Environmental Sciences"], "users"=>["Òscar Guadayol", "Nyssa J. Silbiger", "Megan J. Donahue", "Florence I. M. Thomas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0085213.g005", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Variance_decomposition_along_the_transect_/896219", "title"=>"Variance decomposition along the transect.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-08 02:58:45"}
  • {"files"=>["https://ndownloader.figshare.com/files/1341165"], "description"=>"<p>(A) Position of sites in the reef-flat to reef-slope transect on distance to shore-depth axes. Sites are numbered consecutively (S1–S21) from left to right. Horizontal dotted line marks the depth at which the long-term time series was located. (B) Time series plots of daily averaged temperature, salinity, dissolved oxygen concentration and pH from the long-term station. Vertical dotted lines mark the starts of the two-weeks deployments along the transect. Crosses on top of the pH time series correspond to in situ water measurements of pH. The names of the sites used in the deployments are shown on top.</p>", "links"=>[], "tags"=>["ecology", "Marine ecology", "Coral reefs", "Coastal ecology", "ecosystems", "Marine biology", "Marine monitoring", "marine and aquatic sciences", "oceans", "Pacific Ocean"], "article_id"=>896209, "categories"=>["Biological Sciences", "Earth and Environmental Sciences"], "users"=>["Òscar Guadayol", "Nyssa J. Silbiger", "Megan J. Donahue", "Florence I. M. Thomas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0085213.g001", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Timing_and_position_of_sensor_deployments_/896209", "title"=>"Timing and position of sensor deployments.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-08 02:58:45"}
  • {"files"=>["https://ndownloader.figshare.com/files/1341172"], "description"=>"<p>Relative decomposed covariances derived from cross-spectral analyses between transect sites and long-term station vs. relative decomposed variances derived from auto-spectral analyses of transect sites. (A) Temperature, (B) Dissolved oxygen concentration, (C) pH.</p>", "links"=>[], "tags"=>["ecology", "Marine ecology", "Coral reefs", "Coastal ecology", "ecosystems", "Marine biology", "Marine monitoring", "marine and aquatic sciences", "oceans", "Pacific Ocean", "decomposed", "covariances"], "article_id"=>896216, "categories"=>["Biological Sciences", "Earth and Environmental Sciences"], "users"=>["Òscar Guadayol", "Nyssa J. Silbiger", "Megan J. Donahue", "Florence I. M. Thomas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0085213.g004", "stats"=>{"downloads"=>0, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Relative_decomposed_covariances_vs_variances_/896216", "title"=>"Relative decomposed covariances vs. variances.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-08 02:58:45"}
  • {"files"=>["https://ndownloader.figshare.com/files/1341170"], "description"=>"<p>Variance decomposition of temperature, dissolved O<sub>2</sub> concentration and pH in the long-term time series station, obtained using a running window of two weeks. Left axes scale absolute variances (black lines), and right axes the relative contribution (in %) of each frequency range to total variance. To perform the spectral analyses the time-series need to be uninterrupted; thus short gaps in the signals resulted in the long gaps observed in the figure.</p>", "links"=>[], "tags"=>["ecology", "Marine ecology", "Coral reefs", "Coastal ecology", "ecosystems", "Marine biology", "Marine monitoring", "marine and aquatic sciences", "oceans", "Pacific Ocean", "decomposed"], "article_id"=>896214, "categories"=>["Biological Sciences", "Earth and Environmental Sciences"], "users"=>["Òscar Guadayol", "Nyssa J. Silbiger", "Megan J. Donahue", "Florence I. M. Thomas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0085213.g003", "stats"=>{"downloads"=>0, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Time_series_of_decomposed_variances_/896214", "title"=>"Time series of decomposed variances.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-08 02:58:45"}
  • {"files"=>["https://ndownloader.figshare.com/files/1341167"], "description"=>"<p>Simultaneous time-series of pH, taken from October 20th to November 9th 2011. The sites shown are: S4 (in blue), located 8.2 m offshore at a depth of 0.4 m, S18 (in green), located 31.6 m offshore at a depth of 3.7 m, and the long-term station (in red), located at 1.7 m depth over a bottom 3 meters deep. (A) Time series plot. (B) Histograms of frequencies of pH values during this period. (C) Power spectral densities. Darker straight lines in (C) depict the best fit power-law models between frequencies 1/8 h<sup>−1</sup> and 3 h<sup>−1</sup> obtained using linear least squares method. The vertical dashed and dotted lines in the spectra mark the diurnal and semi-diurnal frequencies respectively.</p>", "links"=>[], "tags"=>["ecology", "Marine ecology", "Coral reefs", "Coastal ecology", "ecosystems", "Marine biology", "Marine monitoring", "marine and aquatic sciences", "oceans", "Pacific Ocean", "simultaneous", "time-series"], "article_id"=>896211, "categories"=>["Biological Sciences", "Earth and Environmental Sciences"], "users"=>["Òscar Guadayol", "Nyssa J. Silbiger", "Megan J. Donahue", "Florence I. M. Thomas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0085213.g002", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Example_of_3_simultaneous_time_series_of_pH_/896211", "title"=>"Example of 3 simultaneous time-series of pH.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-08 02:58:45"}
  • {"files"=>["https://ndownloader.figshare.com/files/1341181"], "description"=>"<p>Results of the variance components analyses (VCA) performed on all the statistics derived from the auto-spectral analyses of the transect stations time-series. Deployment date was fit as a random effect (temporal) and the residual variance is attributed to location (spatial). The VCs were fitted using REML, and many of the VCs approached zero. When fitted using traditional ANOVA estimation, these VCs were negative, indicating a true estimate of zero.</p>", "links"=>[], "tags"=>["ecology", "Marine ecology", "Coral reefs", "Coastal ecology", "ecosystems", "Marine biology", "Marine monitoring", "marine and aquatic sciences", "oceans", "Pacific Ocean", "components"], "article_id"=>896225, "categories"=>["Biological Sciences", "Earth and Environmental Sciences"], "users"=>["Òscar Guadayol", "Nyssa J. Silbiger", "Megan J. Donahue", "Florence I. M. Thomas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0085213.t001", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Variance_components_analyses_VCA_/896225", "title"=>"Variance components analyses (VCA).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-08 02:58:45"}
  • {"files"=>["https://ndownloader.figshare.com/files/1341179"], "description"=>"<p>Spectral slopes of temperature (A & B), dissolved O<sub>2</sub> (C & D) and pH (E & F) vs. distance from shore (left column) and depth (right column) of each station along the transect. Dots with error bars represent the fitted slopes with 95% confidence intervals. Empty squares with error bars show the mean ± standard deviation of all the spectral slopes in the long-term station estimated for each period of deployment. Dashed horizontal lines mark the −5/3 typical of 3D isotropic turbulence spectra.</p>", "links"=>[], "tags"=>["ecology", "Marine ecology", "Coral reefs", "Coastal ecology", "ecosystems", "Marine biology", "Marine monitoring", "marine and aquatic sciences", "oceans", "Pacific Ocean", "slopes"], "article_id"=>896223, "categories"=>["Biological Sciences", "Earth and Environmental Sciences"], "users"=>["Òscar Guadayol", "Nyssa J. Silbiger", "Megan J. Donahue", "Florence I. M. Thomas"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0085213.g007", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Spectral_slopes_vs_distance_from_shore_and_depth_/896223", "title"=>"Spectral slopes vs. distance from shore and depth.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-08 02:58:45"}

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Relative Metric

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