Long-term growth rates and effects of bleaching in Acropora hyacinthus
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Understanding the response of coral growth to natural variation in the environment, as well as to acute temperature stress under current and future climate change conditions, is critical to predicting the future health of coral reef ecosystems. As such, ecological surveys are beginning to focus on corals that live in high thermal stress environments to understand how future coral populations may adapt to climate change. We investigated the relationship between coral growth, thermal microhabitat, symbionts type, and thermal acclimatization of four species of the Acropora hyacinthus complex in back-reef lagoons in American Samoa. Coral growth was measured from August 2010 to April 2016 using horizontal planar area of coral colonies derived from photographs and in situ maximum width measurements. Despite marked intraspecific variation, we found that planar colony growth rates were significantly different among cryptic species. The highly heat tolerant A. hyacinthus variant “HE” increased in area an average of 2.9% month−1 (0.03 cm average mean radial extension month−1). By contrast, the three less tolerant species averaged 6.1% (0.07 cm average mean radial extension month−1). Planar growth rates were 40% higher on average in corals harboring Clade C versus Clade D symbiont types, although marked inter-colony variation in growth rendered this difference nonsignificant. Planar growth rates for all four species dropped to near zero following a 2015 bleaching event, independent of the visually estimated percent area of bleaching. Within 1 yr, growth rates recovered to previous levels, confirming previous studies that found sublethal effects of thermal stress on coral growth. Long-term studies of individual coral colonies provide an important tool to measure impacts of environmental change and allow integration of coral physiology, genetics, symbionts, and microclimate on reef growth patterns.
KeywordsCoral growth Coral bleaching Acropora hyacinthus Symbiont Thermal stress American Samoa
We acknowledge Megan Morikawa, Lupita Ruiz-Jones, Rachel Bay, Noah Rose, Nikki Traylor-Knowles, and Francois Seneca for assisting in data collection of coral growth measurements. We also thank the U.S. National Park of American Samoa for permission to work on Ofu reefs and Carlo Caruso for logistical and research help. Supported by the Gordon and Betty Moore Foundation, the National Science Foundation, the Flora Family Foundation, and Stanford University Vice Provost for Undergraduate Education. Lastly, we would like to thank Jesse Gomer for statistical and computational assistance.
- Bak RPM, Nieuwland G, Meesters EH (2009) Coral Growth Rates Revisited after 31 Years: What is Causing Lower Extension Rates in Acropora palmata? Bull Mar Sci 84:287–294Google Scholar
- Bates D, Mächler M, Bolker B, Walker S (2014) Fitting Linear Mixed-Effects Models using lme4Google Scholar
- Fukami H, Budd AF, Levitan DR, Jara J, Kersanach R, Knowlton N (2004) Geographic differences in species boundaries among members of the Montastraea annularis complex based on molecular and morphological markers. Evolution (N Y) 58:324–337Google Scholar
- Gillette P (2012) Genetic variation in thermal tolerance in the coral Pocillopora damicornis and its effects on growth, photosynthesis and survival. Univ Miami Master’s ThesisGoogle Scholar
- Morikawa M, Palumbi S (2018) Influence of genotype on coral growth (in prep.)Google Scholar
- Nelder JA, Baker RJ (2004) Generalized Linear Models. Encyclopedia of Statistical Sciences. John Wiley & Sons, Inc.Google Scholar
- Pinheiro J, Bates D, DebRoy S, Sarkar D, Team RC (2009) nlme: Linear and nonlinear mixed effects models. R Packag version 3:96Google Scholar
- Pratchett MS, Anderson KD, Hoogenboom MO, Widman E, Baird AH, Pandolfi JM, Edmunds PJ, Lough JM (2015) Spatial, temporal and taxonomic variation in coral growth—implications for the structure and function of coral reef ecosystems. Oceanogr Mar Biol An Annu Rev 53:215–295Google Scholar
- Rose NH, Bay RA, Morikawa MK, Palumbi SR (2017) Polygenic evolution drives species divergence and climate adaptation in corals. Evolution (N Y)Google Scholar
- Sheets B, Palumbi S (2018) Accurate connectivity measurements require cryptic species identification (in prep.)Google Scholar
- Team RC (2014) R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2014Google Scholar