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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_897403_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_897403_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_897403_v1/ | public | [Benthic cover] - Benthic cover data photoquadrat images from patch reef 13 in Kāne'ohe Bay, O'ahu, Hawai'i from 2015 to 2022 (RAPID: Collaborative Research: Disentangling the effects of heat stress versus bleaching phenotype on coral performance) | Increasingly frequent marine heatwaves are devastating coral reefs. Corals that survive these extreme events must rapidly recover if they are to withstand subsequent events, and long-term survival in the face of rising ocean temperatures may hinge on recovery capacity and acclimatory gains in heat tolerance over an individual's lifespan. To better understand coral recovery trajectories in the face of successive marine heatwaves, we monitored the responses of bleaching-susceptible and bleaching-resistant individuals of two dominant coral species in Hawaiʻi, Montipora capitata and Porites compressa, over a decade that included three marine heatwaves.\n\nThis dataset contains benthic cover data and photoquadrat images including point counts and organism identifications from patch reef 13 in Kāne'ohe Bay, O'ahu, Hawai'i from 2015 to 2022.\n\ncdm_data_type = Other\nVARIABLES:\nImage_ID (unitless)\nImage_name (unitless)\nmonth (unitless)\nday (unitless)\nyear (unitless)\nDate (unitless)\nAnnotation_status (unitless)\nPoints (per point)\nCoral_Juvenile (per point)\nDiseased_Coral (per point)\nLeptastrea_purpurea (per point)\nPigmented_Montipora_capitata (per point)\nPavona_varians (per point)\nPigmented_Porites_Compressa (per point)\nRecent_Dead_Coral (per point)\nAscidian (per point)\nMycale_grandis (per point)\nSponge (per point)\n... (30 more variables)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_897403_v1/index.htmlTable | https://www.bco-dmo.org/dataset/897403
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_897403_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_897403_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_897403_v1 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_776377.subset | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_776377 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_776377.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_776377/ | public | [bleaching transects 2019] - Percent cover of healthy and bleached coral in Pacific Panama using the transect method in 2019 (Collaborative Research: Climate Change, Mesoscale Oceanography, and the Dynamics of Eastern Pacific Coral Reefs) | Percent cover of healthy and bleached coral in Pacific Panama using the transect method in 2019.\n\ncdm_data_type = Other\nVARIABLES:\nGulf (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime2 (Time, season year)\nTransect (unitless)\nHealthy_P_damicornis (unitless)\nPale_P_damicornis (unitless)\nBleached_P_damicornis (unitless)\nHealthy_P_verricosa (unitless)\nPale_P_verricose (unitless)\nBleached_P_verricosa (unitless)\nHealthy_Psammocora_stellata (unitless)\nPale_P_stellata (unitless)\nBleached_P_stellata (unitless)\nCOTS_damage (unitless)\nStanding_dead_coral_no_turf (unitless)\nStanding_dead_coral_with_turf (unitless)\nUnconsolidated_rubble_with_turf (unitless)\nUnconsolidated_rubble_with_CCA (unitless)\nFleshy_algae (unitless)\nCCA (unitless)\nSand (unitless)\nHealthy_Porites_lobata (unitless)\nTotal (unitless)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_776377_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_776377_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_776377/index.htmlTable | https://www.bco-dmo.org/dataset/776377
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_776377.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_776377&showErrors=false&email= | BCO-DMO | bcodmo_dataset_776377 | ||
| log in | [Cerro Mundo Algal Percent Cover Data] - Algal Percent Cover Data collected in the nearshore shallow subtidal during eight field experiments conducted at Cerro Mundo Bay in the Galapagos Islands between Sep 2021 and Apr 2023 (The Role of Temperature in Regulating Herbivory and Algal Biomass in Upwelling Systems) | Increased standing macroalgal biomass in upwelling zones is generally assumed to result from higher nutrient flux associated with upwelled waters. However, other factors can also strongly impact macroalgal communities. For example, herbivory and temperature—through their effects on primary producers and the metabolic demands of consumers—can influence macroalgal biomass and productivity, respectively. Although there are numerous studies examining the interactive effects of herbivores and nutrients in both temperate regions, few have addressed these dynamics in tropical or subtropical upwelling systems. The purpose of this study was to assess the effects of herbivores, temperature, and nutrient availability on standing macroalgal biomass and total algal cover. Macroalgal biomass is presented in the related dataset. We manipulated nutrient availability and herbivory in eight field experiments conducted under contrasting productivity and thermal regimes (cool upwelling vs. warm, non-upwelling seasons) on a subtidal nearshore rocky reef.\n\nHere, we present the algal percent cover data collected from the shallow subtidal zone during September 2021 to April 2023 field experiments.\n\ncdm_data_type = Other\nVARIABLES:\nCage (unitless)\nTreatment (unitless)\nN (unitless)\nMonthstart (unitless)\nMonthend (unitless)\nYear (unitless)\nUlva (unitless)\nUlva_pct (percent)\ncca (unitless)\ncca_pct (percent)\nBrown_foliose_algae (unitless)\nBrown_foliose_algae_pct (percent)\nHPM (unitless)\nHPM_pct (percent)\n... (23 more variables)\n | BCO-DMO | bcodmo_dataset_985410_v1 |