Dataset: Percent coral cover from photographic surveys conducted along Jarvis Island in 2015-2017

Final no updates expectedDOI: 10.1575/1912/bco-dmo.775830.1Version 1 (2019-09-30)Dataset Type:Other Field Results

Principal Investigator: Anne L. Cohen (Woods Hole Oceanographic Institution)

BCO-DMO Data Manager: Karen Soenen (Woods Hole Oceanographic Institution)

Project: Skeletal Records of Coral Reef Bleaching in the Central Equatorial Pacific (Coral Bleaching Skeletal Records)

Abstract

This dataset contains percent coral cover which was collected from photographic surveys conducted along triplicate 50 m transects spanning 5 m to 25 m depth on the east and west side of Jarvis Island (0.37°S, 159.99°W) in 2015, 2016, and 2017.

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These data were published in Barkley et al., 2018 (Figure 2).

This dataset contains percent coral cover which was collected from photographic surveys conducted along triplicate 50 m transects spanning 5 m to 25 m depth on the east and west side of Jarvis Island in 2015, 2016, and 2017. Jarvis Island is an uninhabited coral reef ecosystem within the US Pacific Remote Islands Marine National Monument (0.37°S, 159.99°W).

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Related Publications

Results
Barkley, H. C., Cohen, A. L., Mollica, N. R., Brainard, R. E., Rivera, H. E., DeCarlo, T. M., … Luu, V. H. (2018). Repeat bleaching of a central Pacific coral reef over the past six decades (1960–2016). Communications Biology, 1(1). doi:10.1038/s42003-018-0183-7
Software
Kohler, K. E., & Gill, S. M. (2006). Coral Point Count with Excel extensions (CPCe): A Visual Basic program for the determination of coral and substrate coverage using random point count methodology. Computers & Geosciences, 32(9), 1259–1269. doi:10.1016/j.cageo.2005.11.009

Cohen, A. (2019) Percent coral cover - Jarvis island. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-09-30 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.775830.1 [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.

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Funded by the U.S. National Science Foundation