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| griddap | Subset | tabledap | Make A Graph | wms | files | Accessible | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
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| log in | [Benthic community composition] - Benthic community composition from a field experiment manipulating consumer pressure and nutrient availability on a coral reef in Moorea, French Polynesia from 2018 to 2022 (Collaborative Research: Tipping points in coral reefs and their associated microbiomes: interactive effects of herbivory, nutrient enrichment, and temperature) | Here we experimentally test the relative importance of alterations to top-down and bottom-up processes in driving community development and variability after a simulated disturbance on a coral reef. We use a factorial experiment manipulating consumer pressure and nutrient enrichment for four years on a coral reef in Moorea, French Polynesia. Our experiment consisted of plots (~1.25 m2 each) that manipulated access by consumers via different size openings that allowed different size fishes access to the benthos, creating four levels of consumer pressure (Very Low, Low, Medium, High). These four levels of consumer pressure were crossed with manipulations of nutrient availability with either ambient or nutrient enriched conditions. At the start of the experiment, we removed all live corals and fleshy macroalgae from the plots to mimic the effects of a severe cyclone. We quantified the abundance of benthic organisms (e.g., corals, macroalgae, etc.) for four years to assess how experimental treatments affected community development. At three time points each year (April, July/August, November - except for two time points missed due to the COVID-19 pandemic, April 2020 and November 2020), we quantified benthic cover in each exclosure via point contacts on orthorectified photomosaics. Using Olympus TG cameras, we took ~64 individual photographs of each exclosure and then generated photomosaics by stitching photographs together using Agisoft Metashape software (Agisoft Metashape Professional Version 17.0). These photomosaics generate high-resolution imagery that allows identification of benthic space holders to the lowest taxonomic level possible (genus for most corals and macroalgae). It was not possible to reliably distinguish among filamentous turf algae, bare space, and very small encrusting algae (including small CCAs and other encrusting algae) from photographs, therefore these taxa were categorized as one group. We used these data to generate percent cover estimates for each exclosure at each timepoint. Percent cover of benthic space holders was estimated via 225 random points per m2 exclosure using CoralNet software.\n\ncdm_data_type = Other\nVARIABLES:\nTime_point (unitless)\nTimepoint (unitless)\nunitless (Date)\nBlock_Plot (unitless)\nBlock (unitless)\n... (51 more variables)\n | BCO-DMO | bcodmo_dataset_1000908_v1 | ||||||||||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_684031.subset | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_684031 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_684031.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_684031/ | public | [Benthic cover data] - Benthic coverage data collected from 2012 to 2014 in the Federated States of Micronesia and the Caroline Islands (Disturb Impacts Coral project) (The impact of a large episodic disturbance on an invasive (outbreak) coral: Will Typhoon Maysak promote or suppress an invasive Montipora sp. Coral on reefs of Ulithi Atoll, Federated States of Micronesia?) | Benthic coverage data collected from 2012 to 2014 in the Federated States of Micronesia and the Caroline Islands (Disturb Impacts Coral project)\n\ncdm_data_type = Other\nVARIABLES:\nsite (unitless)\ndate (unitless)\nresearcher (unitless)\nquad (unitless)\nliveCoral_noCabbage (Live Coral No Cabbage, percent)\ninvasiveCoral (Invasive Coral, percent)\ndeadCoral (Dead Coral, percent)\nbleachedCoral (Bleached Coral, percent)\nturfAlgae (Turf Algae, percent)\nmacroalgae (percent)\notherInverts (Other Inverts, percent)\nacroporaThicket (Acropora Thicket, percent)\ntableCoral (Table Coral, percent)\nmounding1_simple_UnID (Mounding1 Simple Un ID, percent)\nmounding1_Porites_lobata (percent)\nmounding1_Astreopora (percent)\nmounding1_Leptastrea (percent)\nmounding2_complex_UnID (Mounding2 Complex Un ID, percent)\nsimpleBranching_UnID (Simple Branching Un ID, percent)\nsimpleBranching_AcroporaSpp (Simple Branching Acropora Spp, percent)\nsimpleBranching_Porites_rus (Simple Branching Porites Rus, percent)\nsimpleBranching_Porites_cylindrica (Simple Branching Porites Cylindrica, percent)\nsimpleBranching_Pocillopora_eydouxi (Simple Branching Pocillopora Eydouxi, percent)\nsimpleBranching_Pocillopora_meandrina (Simple Branching Pocillopora Meandrina, percent)\nsimpleBranching_PocilloporaSpp (Simple Branching Pocillopora Spp, percent)\nsimpleBranching_Heliopora (Simple Branching Heliopora, percent)\n... (85 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_684031_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_684031/index.htmlTable | https://www.bco-dmo.org/dataset/684031
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_684031.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_684031&showErrors=false&email= | BCO-DMO | bcodmo_dataset_684031 | |||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997105_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997105_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_997105_v1/ | public | [Corals on ship and plane wrecks] - Community composition of benthic invertebrates on underwater cultural heritage and coral reefs from Palau aquired May to November 2022 (Collaborative Research: How do selection, plasticity, and dispersal interact to determine coral success in warmer and more variable environments?) | Ships, planes, and other vessels that come to rest on the seafloor introduce metals to the marine environment. Underwater cultural heritage (UCH) sites become important habitats for sessile invertebrates, but the materials they are made from can impact the composition of species living on them. We collected and analyzed images from three sites in Palau (two shipwrecks and one plane wreck from WWII) along with directly adjacent (1 – 5 m away) naturally-occurring coral reefs. We collected images of the sessile invertebrate fauna at each site using a Nikon D850 camera with a wide-angle lens, a GoPro Hero 7 with a wide-angle lens, and two Olympus TG-6 cameras. Wide-angle photography was used to record adult corals or other sessile invertebrates (≤ 5 cm diameter) in quadrats (0.34 ± 0.01 m2, mean ± SE). Olympus cameras were used for macro photography of young coral recruits (< 5 cm diameter), with each recruit being photographed individually to enable identification. Images were used to visually identify and count sessile invertebrates living on each wreck and the adjacent coral reefs. Coral species were identified to the genus level by comparison to published guides. Other sessile invertebrate species were identified to broad taxonomic categories (e.g., wire coral, sponge, tube worm).\n\ncdm_data_type = Other\nVARIABLES:\nPhoto_Name (unitless)\nDate (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nCategory (unitless)\nTransect (unitless)\ndepth (Depth_m, m)\nAcanthastrea (unitless)\nAcropora (unitless)\nCantharellus (unitless)\nCoelastrea (unitless)\nCtenactis (unitless)\nCycloseris (unitless)\n... (44 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_997105_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_997105_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_997105_v1/index.htmlTable | https://osprey.bco-dmo.org/dataset/997105
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_997105_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_997105_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_997105_v1 |