File(s) | Type | Description | Action |
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oyster_density.csv (1.72 KB) | Comma Separated Values (.csv) | Primary data file for dataset ID 881536 | Add to Cart Download |
This dataset represents oyster density measurements of restored reef edge/interior in Quonochontaug Pond, Rhode Island, USA determined by scuba divers in May of 2019. Reef relief and quadrat relief were calculated by subtracting water depth at each quadrat (quadrat relief) or the highest point on the reef (reef relief) from water depth on the adjacent unstructured bottom.
These data were published in Table S1 of Davenport et al., 2022 (Restoration Ecology).
To quantify the observed pattern of higher oyster density around the edges of reefs at Quonochontaug Pond, Rhode Island, USA, (41.3 N, 71.7 W) we surveyed oyster density and reef relief in May 2019. Divers haphazardly placed 0.25 m² quadrats on each oyster reef and excavated all live and recently dead oysters (N = 3-5 quadrats per reef on each of edge and interior). Live oysters were counted in the field before returning them to the reef in the same location where they were collected. Top valves were removed from recently dead oysters (open oysters with both valves present, but no live tissue) to confirm they were dead before replacing them. Divers also measured water depth with a meter stick at each quadrat, at the highest point on each reef, and at the unstructured bottom adjacent to each reef. Reef relief and quadrat relief were calculated by subtracting the water depth at each quadrat (quadrat relief) or the highest point on the reef (reef relief) from the water depth on the adjacent unstructured bottom.
Hughes, A. R., Davenport, T., Grabowski, J. (2022) Oyster density of restored reef edge/interior in Quonochontaug Pond, RI in May 2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-11-02 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.881536.1 [access date]
Terms of Use
This dataset is licensed under Creative Commons Attribution 4.0.
If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.