Dataset: Observed survival of coral fragments throughout a 93-day ocean acidification and warming experiment

Release Date:2019-02-11Final no updates expectedDOI: 10.1575/1912/bco-dmo.735609.1Version 1 (2018-05-09)Dataset Type:experimental

Principal Investigator: Karl D. Castillo (University of North Carolina at Chapel Hill)

Student, Contact: Colleen Bove (University of North Carolina at Chapel Hill)

BCO-DMO Data Manager: Nancy Copley (Woods Hole Oceanographic Institution)


Project: Investigating the influence of thermal history on coral growth response to recent and predicted end-of-century ocean warming across a cascade of ecological scales (Thermal History and Coral Growth)


Abstract

This dataset includes the observed survival of four species of Caribbean reef-building corals (Siderastrea siderea, Pseudodiploria strigosa, Porites astreoides, and Undaria tenuifolia) throughout a 93-day ocean acidification (280-3200 μatm) and warming (28°C and 31°C) experiment. Survival was assessed every 30 days during the experiment. After the experiment, these data were analysed to evaluate the effects of ocean acidification and warming on the survivorship of the four corals species.

This dataset includes the observed survival of four species of Caribbean reef-building corals (Siderastrea siderea, Pseudodiploria strigosa, Porites astreoides, and Undaria tenuifolia) throughout a 93-day ocean acidification (280-3200 μatm) and warming (28°C and 31°C) experiment. Survival was assessed every 30 days during the experiment. After the experiment, these data were analysed to evaluate the effects of ocean acidification and warming on the survivorship of the four corals species. These data are presented in Bove et al (2019).


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Results

Bove, C. B., Ries, J. B., Davies, S. W., Westfield, I. T., Umbanhowar, J., & Castillo, K. D. (2019). Common Caribbean corals exhibit highly variable responses to future acidification and warming. Proceedings of the Royal Society B: Biological Sciences, 286(1900), 20182840. doi:10.1098/rspb.2018.2840
Software

Therneau, T. (2012). coxme: mixed effects Cox models. R package version 2.2-3. Vienna, Austria: R Foundation for Statistical Computing.