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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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986892_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986892_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986892_v1/ | public | [Hawaiian sponge cryptofauna] - Specimen vouchers of sponges collected in a study of hidden sponge biodiversity within the Hawaiian reef cryptofauna conducted on Oahu, Hawaii from 2016 to 2018 (Testing the most striking tropical marine biodiversity gradient on the planet: does it hold for sponges?) | Sponges are abundant and conspicuous on the reef surface in productive, continental reefs, but largely vanish from surveys of the oligotrophic reefs of Oceania. However, their diversity in the cryptobiota remains poorly characterized. Here, we explore the contribution of cryptobenthic sponges to overall sponge diversity on 1,750 square meters of reef habitat in Kāne'ohe Bay and Waimanalo in the island of O'ahu, Hawai'i. We also assessed cryptic sponges using 15 square meters of Autonomous Reef Monitoring Structures (ARMS) deployed in this same area. We used integrative taxonomy combining morphology, COI and 28S barcoding to delineate and track species, most of which are poorly known or undescribed. We documented 186 OTUs, 150 of which are new records for the Hawaiian Islands, increasing the known sponge fauna of Kāne'ohe Bay by 3.5 fold, and that of the Hawaiian Islands by 2.5 fold. More than ¾ of the sponge OTUs were cryptobenthic. Reef sampling provided access to 31% (44 OTUs), whereas 52% (75 OTUs) were retrieved exclusively from ARMS. These results illustrate that the interstices of ARMS units provide suitable habitat for settlement of cryptobenthic sponges that would otherwise be impossible to access through traditional field surveys. Tracking species with provisional names, using integrative species delineation anchored to vouchers, images, and DNA barcodes provides a powerful approach for working with such a poorly understood fauna.\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nStation (unitless)\nDate (unitless)\nFMNH_voucher (unitless)\nHIMB_voucher (unitless)\nField_ID (unitless)\nCOI_accession (unitless)\nCOI_base_pairs (unitless)\nCOI_blastn_result_1 (unitless)\nCOI_blastn_result_2 (% similarity)\n... (4 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986892_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986892_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986892_v1/index.htmlTable | https://osprey.bco-dmo.org/dataset/986892
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986892_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986892_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_986892_v1 |