Dataset: Coral photosynthetic efficiency (Pulse-Amplitude-Modulation, PAM) fluorometry from Acropora millepora corals exposed to seaweeds

This dataset has not been validatedPreliminary and in progressVersion 0 (2020-07-13)Dataset Type:experimental

Principal Investigator: Mark E. Hay (Georgia Institute of Technology)

Co-Principal Investigator, Contact: Cody Clements (Georgia Institute of Technology)

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


Project: Killer Seaweeds: Allelopathy against Fijian Corals (Killer Seaweeds)


Abstract

Coral photosynthetic efficiency (Pulse-Amplitude-Modulation, PAM) fluorometry from Acropora millepora corals exposed to seaweeds.

Coral photosynthetic efficiency (Pulse-Amplitude-Modulation, PAM) fluorometry from Acropora millepora corals exposed to seaweeds. See 'Master ID Sheet.xlsx' in Supplemental Files for the treatment descriptions.

These data are presented in Figure 1 of Clements et al, 2020.


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Related Publications

Results

Clements, C. S., Burns, A. S., Stewart, F. J., & Hay, M. E. (2020). Seaweed-coral competition in the field: effects on coral growth, photosynthesis and microbiomes require direct contact. Proceedings of the Royal Society B: Biological Sciences, 287(1927), 20200366. doi:10.1098/rspb.2020.0366
Methods

Hothorn, T., Bretz, F., & Westfall, P. (2008). Simultaneous Inference in General Parametric Models. Biometrical Journal, 50(3), 346–363. doi:10.1002/bimj.200810425
Methods

Pinheiro, J.D., Bates, D., DebRoy, S., Sarkar, D. and the R Core Team (2014) nlme: linear and nonlinear mixed effects models. R package version 3.1–131. http://CRAN.R-project.org package=nlme
Software

R Core Team (2016) R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria. https://www.r-project.org