http://lod.bco-dmo.org/id/dataset/860764
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
2021-09-15
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Empirical orthogonal functions (EOFs) and benthic communities at Wailupe and Black Point on Oahu, Hawai'i
2021-09-15
publication
2021-09-15
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2021-09-21
publication
https://doi.org/10.26008/1912/bco-dmo.860764.1
Craig E. Nelson
University of Hawaiʻi at Mānoa
principalInvestigator
Megan Donahue
University of Hawaiʻi at Mānoa
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: La Valle, F. F., Nelson, C. E. (2021) Empirical orthogonal functions (EOFs) and benthic communities at Wailupe and Black Point on Oahu, Hawai'i. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-09-15 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.860764.1 [access date]
EOF and benthic community Oahu Dataset Description: Methods and Sampling: <p>Full methods are found in La Valle et al. 2020.</p>
<p><strong>Site descriptions and SGD characterizations: </strong>The study sites are located along the southern shoreline of O'ahu, Hawai'i, in Maunalua Bay (21.2743°N, 157.7492°W). The two study sites, Black Point (21.2586°N, 157.7899°W) and Wailupe (21.2756°N, 157.7624°W), are on the western side of the bay and are macroalgae-dominated, with 50% and 15% fleshy macroalgal benthic cover at Wailupe and Black Point, respectively, from the shoreline to the reef crest. There is a close to conservative relationship between SGD-derived inorganic nutrients (nitrate, phosphate, and silicate) and salinity at Black Point and Wailupe (linear regressions statistics described in Table 1 of La Valle et al. 2019). SGD fluxes and nutrient delivery were described in detail in Holleman (2011), Nelson et al. (2015), Richardson et al. (2017a-b), Lubarsky et al. (2018) and summarized in La Valle et al. (2019).</p>
<p>Salinity time series (see instruments section) were used for EOF and community composition data analyses were related to the EOF loading scores.</p>
<p><strong>Sampling and analytical procedures:</strong><br />
Benthic algal surveys were done at the grid intersection points (<em>n</em> = 97 for Wailupe and <em>n</em> = 115 for Black Point). The survey consisted of 25 cm by 25 cm quadrats, where species-specific percent algal cover, species-specific invertebrate percent cover and counts, and substrate type were measured. All taxa were identified to lowest taxonomic level.</p>
<p>Empirical orthogonal functions (EOFs) were applied to the spatially indexed salinity time series at both sites. The continuous time series were inputted in the EOFs. EOFs were used to reduce dimensionality of the spatially explicit time series and to reveal the spatial structure of the time series data. EOFs are the spatiotemporal manifestation of principal components analysis (PCA) (Wikle et al. 2018). The output for EOFs includes a spatial map of loadings and an associated normalized principal-component time series for the salinity dataset obtained using a singular value decomposition of a space-wide matrix. The singular value decomposition was done using the function svd in the base library in RStudio (version 1.0.44, R Core Team 2016).</p>
<p><strong>Instruments:</strong><br />
Salinity time series were not included in this dataset because they are redundant for analyses (as EOF1 and EOF2 are included in the datasets) but are available from Florybeth La Valle (flavalle@ucsd.edu).</p>
<p>Twenty-three autonomous salinity sensors (Odyssey Temperature and Conductivity loggers, 3 to 60 mS cm-1) were deployed in a sparse grid across each site. The sensors were attached a few centimeters off of the benthos at Black Point for 30 days (29 May - 29 June 2015) and for 27 days at Wailupe (4 April - 21 May 2015) and took readings every 10 minutes. Two water samples were taken every week, synchronously with salinity sensor measurements, for the duration of the deployments at both sites and were analyzed using a Portasal Salinometer 8410A (accuracy 0.001) for quality control purposes and to check for sensor measurement drift.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1923877 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1923877
completed
Craig E. Nelson
University of Hawaiʻi at Mānoa
805-705-3497
Center for Microbial Oceanography: Research & Education Dept of Oceanography & UH Sea Grant
Honolulu
HI
96822
USA
cen@hawaii.edu
pointOfContact
Megan Donahue
University of Hawaiʻi at Mānoa
808-236-7417
Hawai‘i Institute of Marine Biology 46-007 Lilipuna Road
Kane'ohe
HI
96744
USA
donahuem@hawaii.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
site
index
date
lat
lon
EOF1
EOF2
rock
rocks_on_sand
sand
sand_and_rubble
rubble
reef_flat
Acanthophora_spicifera
Amansia_glomerata
Asparagopsis_taxiformis
Avrainvillea_amadelpha
Boodlea_sp
Bryopsis_sp
Caulerpa_spp
Centroceras_sp
Ceramium_sp
Cladophora_sp
Codium_spp
Dictyota_spp
Halimeda_discoidea
Hypnea_musciformis
Jania_spp
Liagora_spp
Lyngbya_majuscula
Pterocladiella_spp
Turf_algae
Ulva_lactuca
Unknown_1
Zoanthids
Anthozoa
Echinometra_mathaei
Isognomon_californicum
Sponge
Pocillopora_spp
Nerita_picea
coral_rubble
silt_mud
pebbles
Gracilaria_salicornia
Hypnea_sp
Gratalupia_sp
Dictyota_sp
Galaxaura_spp
Chaetomorpha_sp
Lyngbya_sp
Coelothrix_irregularis
Spyridia_sp
Dictyosphaeria_versluvsyii
CCA
Gelidium_spp
Simploca_sp
Laurencia_spp
Unknown_2
Uknown_green_3
Pocillopora_spo
Montipora_sp
Zooanthids
Odyssey Temperature and Conductivity loggers
Portasal Salinometer 8410A
theme
None, User defined
site
date
latitude
longitude
No BCO-DMO term
percent coverage
featureType
BCO-DMO Standard Parameters
Salinity Sensor
Salinometer
instrument
BCO-DMO Standard Instruments
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.
RUI: Collaborative Research: Defining the biogeochemical context and ecological impacts of submarine groundwater discharge on coral reefs
https://osprey.bco-dmo.org/project/820158
RUI: Collaborative Research: Defining the biogeochemical context and ecological impacts of submarine groundwater discharge on coral reefs
<p><em>NSF Award Abstract:</em><br />
Submarine groundwater discharge (SGD) is the flow of water from land through the coastal seafloor into the nearby ocean. Approximately 13,000 cubic kilometers of groundwater is discharged into coastal environments every year, yet the effects of this fresh and often nutrient rich SGD are still poorly understood for coral reefs. This SGD input is driven by changes in precipitation, human land use, sea-level rise, tidal amplitude, and groundwater usage, many of which are rapidly changing with climate and human impacts. This project improves our understanding of SGD effects on coral reefs to better predict how both natural and human-induced changes will affect coastal ecosystem functioning in the future. Working in one of the most comprehensively studied coral reef ecosystems in the Pacific (Mo'orea, French Polynesia, home of the Mo'orea Coral Reef Ecosystem LTER); this project tests the influence of SGD on individual, community, and ecosystem-scale coral reef processes. Using mensurative studies, caging experiments, and a synthetic model, the investigators: 1) characterize SGD gradients and relate it to high resolution coral reef cover data, 2) determine how individual to ecosystem processes are influenced by SGD, and 3) develop a synthetic model to show how changes in SGD fluxes will alter reef ecosystem functioning. As SGD is a common feature on nearshore coral reefs worldwide, the results of this study have global implications for understanding the performance of coral reefs, which are essential economic, cultural, and scientific resources. This project is structured to provide training across multiple career levels, linking 13 undergraduate students, 2 graduate students, 2 senior personnel, 1 postdoctoral researcher, 1 female beginning lead investigator, and 2 senior co-investigators, with a focus on encouraging participation from underrepresented groups (e.g., through the Alaska Native and Native Hawaiian, Asian American and Native American Pacific Islander, and Hispanic-Serving Institutions of California State University Northridge, the University of Hawaiʻi at Mānoa, and California State University Long Beach). The investigators work with local K-12 students and teachers in Mo'orea and collaborate with an artist-in-residence to communicate science to the broader public through interactive and immersive art experiences in Mo'orea, Miami, and Los Angeles.</p>
<p>SGD is a natural and understudied feature of many nearshore coral reef ecosystems, which can contribute substantial changes to marine biogeochemistry, with impacts for coastal organisms such as reef-building corals, macroalgae, and bioeroders. SGD may play a key role in coral reef ecosystem functioning because it alters key physicochemical parameters (e.g., temperature, salinity, and nutrient and carbonate chemistry) that substantially affect both biotic and abiotic processes on coral reefs. This project (i) characterizes the spatial extent and biogeochemical signal of SGD in Mo'orea, French Polynesia, (ii) identifies how SGD influences microbial processes, benthic organism growth rates and physiology, species interactions between corals, macroalgae, and herbivores, and net ecosystem calcification and production rates, and (iii) quantitatively assesses how changes in SGD fluxes will alter reef biogeochemistry and ecosystem functioning through an integrative modelling effort. Specifically, the hydrogeological, biogeochemical, and ecological data collected in this study are synthesized in a Bayesian structural equation model. This project characterizes and quantifies how SGD directly and indirectly affects ecosystem functioning via changes in biogeochemistry and altered individual to ecosystem responses, thereby providing a better capacity to track and predict alterations in reef ecosystem function.</p>
<p>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</p>
Moorea SGD
largerWorkCitation
project
eng; USA
oceans
-157.791117
-157.76035
21.2576667
21.2760667
2016-06-27
2017-07-12
Mo'orea, French Polynesia
0
BCO-DMO catalogue of parameters from Empirical orthogonal functions (EOFs) and benthic communities at Wailupe and Black Point on Oahu, Hawai'i
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/860789.rdf
Name: site
Units: unitless
Description: <p>name of the site found in Maunalua Bay, Honolulu, Hawai'i</p>
http://lod.bco-dmo.org/id/dataset-parameter/860790.rdf
Name: index
Units: unitless
Description: <p>integers representing individual codes per quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860791.rdf
Name: date
Units: unitless
Description: <p>date the data were collected; format: YYYY-MM-DD</p>
http://lod.bco-dmo.org/id/dataset-parameter/860792.rdf
Name: lat
Units: decimal degrees North
Description: <p>latitiude</p>
http://lod.bco-dmo.org/id/dataset-parameter/860793.rdf
Name: lon
Units: decimal degrees West
Description: <p>longitude</p>
http://lod.bco-dmo.org/id/dataset-parameter/860794.rdf
Name: EOF1
Units: unitless
Description: <p>EOF1 calculated using methods in La Valle et al. 2020 (Journal: Limnology & Oceanography)</p>
http://lod.bco-dmo.org/id/dataset-parameter/860795.rdf
Name: EOF2
Units: unitless
Description: <p>EOF2 calculated using methods in La Valle et al. 2020 (Journal: Limnology & Oceanography)</p>
http://lod.bco-dmo.org/id/dataset-parameter/860796.rdf
Name: rock
Units: percent cover
Description: <p>exposed rock % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860797.rdf
Name: rocks_on_sand
Units: percent cover
Description: <p>exposed rocks and sand % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860798.rdf
Name: sand
Units: percent cover
Description: <p>exposed sand % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860799.rdf
Name: sand_and_rubble
Units: percent cover
Description: <p>exposed sand and rubble % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860800.rdf
Name: rubble
Units: percent cover
Description: <p>exposed rubble % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860801.rdf
Name: reef_flat
Units: percent cover
Description: <p>exposed reef flat (mostly composed of dead corals) % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860802.rdf
Name: Acanthophora_spicifera
Units: percent cover
Description: <p>Acanthophora spicifera % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860803.rdf
Name: Amansia_glomerata
Units: percent cover
Description: <p>Amansia glomerata % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860804.rdf
Name: Asparagopsis_taxiformis
Units: percent cover
Description: <p>Asparagopsis taxiformis % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860805.rdf
Name: Avrainvillea_amadelpha
Units: percent cover
Description: <p>Avrainvillea amadelpha % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860806.rdf
Name: Boodlea_sp
Units: percent cover
Description: <p>Boodlea sp. % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860807.rdf
Name: Bryopsis_sp
Units: percent cover
Description: <p>Bryopsis sp. % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860808.rdf
Name: Caulerpa_spp
Units: percent cover
Description: <p>Caulerpa spp. % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860809.rdf
Name: Centroceras_sp
Units: percent cover
Description: <p>Centroceras sp. % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860810.rdf
Name: Ceramium_sp
Units: percent cover
Description: <p>Ceramium sp. % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860811.rdf
Name: Cladophora_sp
Units: percent cover
Description: <p>Cladophora sp. % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860812.rdf
Name: Codium_spp
Units: percent cover
Description: <p>Codium spp. % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860813.rdf
Name: Dictyota_spp
Units: percent cover
Description: <p>Dictyota spp. % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860814.rdf
Name: Halimeda_discoidea
Units: percent cover
Description: <p>Halimeda discoidea % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860815.rdf
Name: Hypnea_musciformis
Units: percent cover
Description: <p>Hypnea musciformis % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860816.rdf
Name: Jania_spp
Units: percent cover
Description: <p>Jania spp. % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860817.rdf
Name: Liagora_spp
Units: percent cover
Description: <p>Liagora spp. % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860818.rdf
Name: Lyngbya_majuscula
Units: percent cover
Description: <p>Lyngbya majuscula % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860819.rdf
Name: Pterocladiella_spp
Units: percent cover
Description: <p>Pterocladiella spp. % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860820.rdf
Name: Turf_algae
Units: percent cover
Description: <p>Turf algae % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860821.rdf
Name: Ulva_lactuca
Units: percent cover
Description: <p>Ulva lactuca % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860822.rdf
Name: Unknown_1
Units: percent cover
Description: <p>unknown macroalgae % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860823.rdf
Name: Zoanthids
Units: percent cover
Description: <p>species from Order Zoantharia % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860824.rdf
Name: Anthozoa
Units: percent cover
Description: <p>species from Class Anthozoa % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860825.rdf
Name: Echinometra_mathaei
Units: percent cover
Description: <p>Echinometra mathaei % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860826.rdf
Name: Isognomon_californicum
Units: percent cover
Description: <p>Isognomon californicum % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860827.rdf
Name: Sponge
Units: percent cover
Description: <p>species from the Phylum Porifera % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860828.rdf
Name: Pocillopora_spp
Units: percent cover
Description: <p>Pocillopora spp. % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860829.rdf
Name: Nerita_picea
Units: percent cover
Description: <p>Nerita picea % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860830.rdf
Name: coral_rubble
Units: percent cover
Description: <p>exposed coral rubble % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860831.rdf
Name: silt_mud
Units: percent cover
Description: <p>exposed silt and mud % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860832.rdf
Name: pebbles
Units: percent cover
Description: <p>exposed pebbles % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860833.rdf
Name: Gracilaria_salicornia
Units: percent cover
Description: <p>Gracilaria salicornia % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860834.rdf
Name: Hypnea_sp
Units: percent cover
Description: <p>Hypnea musciformis % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860835.rdf
Name: Gratalupia_sp
Units: percent cover
Description: <p>Gratalupia sp. % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860836.rdf
Name: Dictyota_sp
Units: percent cover
Description: <p>Dictyota spp. % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860837.rdf
Name: Galaxaura_spp
Units: percent cover
Description: <p>Galaxaura spp. % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860838.rdf
Name: Chaetomorpha_sp
Units: percent cover
Description: <p>Chaetomorpha sp. % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860839.rdf
Name: Lyngbya_sp
Units: percent cover
Description: <p>Lyngbya sp. % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860840.rdf
Name: Coelothrix_irregularis
Units: percent cover
Description: <p>Coelothrix irregularis % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860841.rdf
Name: Spyridia_sp
Units: percent cover
Description: <p>Spyridia sp. % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860842.rdf
Name: Dictyosphaeria_versluvsyii
Units: percent cover
Description: <p>Dictyosphaeria versluvsyii % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860843.rdf
Name: CCA
Units: percent cover
Description: <p>crustose coralline algae % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860844.rdf
Name: Gelidium_spp
Units: percent cover
Description: <p>Gelidium spp. % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860845.rdf
Name: Simploca_sp
Units: percent cover
Description: <p>Simploca sp. % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860846.rdf
Name: Laurencia_spp
Units: percent cover
Description: <p>Laurencia spp. % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860847.rdf
Name: Unknown_2
Units: percent cover
Description: <p>unknown macroalgae % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860848.rdf
Name: Uknown_green_3
Units: percent cover
Description: <p>unknown green macroalgae % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860849.rdf
Name: Pocillopora_spo
Units: percent cover
Description: <p>Pocillopora spp. % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860850.rdf
Name: Montipora_sp
Units: percent cover
Description: <p>Monitpora sp. % cover within a 25 cm by 25 cm quadrat</p>
http://lod.bco-dmo.org/id/dataset-parameter/860851.rdf
Name: Zooanthids
Units: percent cover
Description: <p>species from Order Zoantharia % cover within a 25 cm by 25 cm quadrat</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
41067
https://darchive.mblwhoilibrary.org/bitstream/1912/27574/1/dataset-860764_eof-and-benthic-community-oahu__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.860764.1
download
onLine
dataset
<p>Full methods are found in La Valle et al. 2020.</p>
<p><strong>Site descriptions and SGD characterizations: </strong>The study sites are located along the southern shoreline of O'ahu, Hawai'i, in Maunalua Bay (21.2743°N, 157.7492°W). The two study sites, Black Point (21.2586°N, 157.7899°W) and Wailupe (21.2756°N, 157.7624°W), are on the western side of the bay and are macroalgae-dominated, with 50% and 15% fleshy macroalgal benthic cover at Wailupe and Black Point, respectively, from the shoreline to the reef crest. There is a close to conservative relationship between SGD-derived inorganic nutrients (nitrate, phosphate, and silicate) and salinity at Black Point and Wailupe (linear regressions statistics described in Table 1 of La Valle et al. 2019). SGD fluxes and nutrient delivery were described in detail in Holleman (2011), Nelson et al. (2015), Richardson et al. (2017a-b), Lubarsky et al. (2018) and summarized in La Valle et al. (2019).</p>
<p>Salinity time series (see instruments section) were used for EOF and community composition data analyses were related to the EOF loading scores.</p>
<p><strong>Sampling and analytical procedures:</strong><br />
Benthic algal surveys were done at the grid intersection points (<em>n</em> = 97 for Wailupe and <em>n</em> = 115 for Black Point). The survey consisted of 25 cm by 25 cm quadrats, where species-specific percent algal cover, species-specific invertebrate percent cover and counts, and substrate type were measured. All taxa were identified to lowest taxonomic level.</p>
<p>Empirical orthogonal functions (EOFs) were applied to the spatially indexed salinity time series at both sites. The continuous time series were inputted in the EOFs. EOFs were used to reduce dimensionality of the spatially explicit time series and to reveal the spatial structure of the time series data. EOFs are the spatiotemporal manifestation of principal components analysis (PCA) (Wikle et al. 2018). The output for EOFs includes a spatial map of loadings and an associated normalized principal-component time series for the salinity dataset obtained using a singular value decomposition of a space-wide matrix. The singular value decomposition was done using the function svd in the base library in RStudio (version 1.0.44, R Core Team 2016).</p>
<p><strong>Instruments:</strong><br />
Salinity time series were not included in this dataset because they are redundant for analyses (as EOF1 and EOF2 are included in the datasets) but are available from Florybeth La Valle (flavalle@ucsd.edu).</p>
<p>Twenty-three autonomous salinity sensors (Odyssey Temperature and Conductivity loggers, 3 to 60 mS cm-1) were deployed in a sparse grid across each site. The sensors were attached a few centimeters off of the benthos at Black Point for 30 days (29 May - 29 June 2015) and for 27 days at Wailupe (4 April - 21 May 2015) and took readings every 10 minutes. Two water samples were taken every week, synchronously with salinity sensor measurements, for the duration of the deployments at both sites and were analyzed using a Portasal Salinometer 8410A (accuracy 0.001) for quality control purposes and to check for sensor measurement drift.</p>
Specified by the Principal Investigator(s)
<p><strong>Data Processing:</strong><br />
We ran distance-based linear models (DistLM) on the distance matrix of community data by site using EOF1 and EOF2 as fixed effects (predictors) and substrate type as a random effect was used to explore species composition to quantify variance in benthic community structure explained by EOFs. The DistLM enables us to quantify whether either or both EOF1s contribute significantly to patterns observed in the multivariate community structure while taking in account the variability in the substrate type. The function adonis in the R package vegan was used to create these models (Oksanen et al. 2017).</p>
<p><strong>Species-specific relationships with variability in SGD:</strong><br />
In order to characterize how presence or absence of each benthic taxon was related to SGD, logistic regression models were run at each site using the glm function in the stats package (R Core Team) with EOF1 as the predictors. Only species that appeared in at least three benthic samples were analyzed for univariate relationships to SGD. All logistic regression p-values were controlled for false discovery rate (α = 0.05) using the function p.adjust with the Benjamini Hochberg method in the R package stats (Benjamini and Hochberg 1995).</p>
<p><strong>BCO-DMO Processing:</strong><br />
- concatenated the two separate data files into one;<br />
- replaced "NA" with "nd" (no data);<br />
- renamed fields to conform with BCO-DMO naming conventions;<br />
- replaced spaces with underscores in site column;<br />
- changed date format to YYYY-MM-DD.</p>
Specified by the Principal Investigator(s)
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Odyssey Temperature and Conductivity loggers
Odyssey Temperature and Conductivity loggers
PI Supplied Instrument Name: Odyssey Temperature and Conductivity loggers Instrument Name: Salinity Sensor Instrument Short Name:Salinity Sensor Instrument Description: Category of instrument that simultaneously measures electrical conductivity and temperature in the water column to provide temperature and salinity data. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/350/
Portasal Salinometer 8410A
Portasal Salinometer 8410A
PI Supplied Instrument Name: Portasal Salinometer 8410A Instrument Name: Salinometer Instrument Short Name:Salinometer Instrument Description: A salinometer is a device designed to measure the salinity, or dissolved salt content, of a solution.