Abstract
Coral recovery (the restoration of abundance and composition of coral communities) after disturbance is a key process that determines the resilience of reef ecosystems. To understand the mechanisms underlying the recovery process of coral communities, colony abundance and size distribution were followed on reefs around Pelorus Island, located in the inshore central region of the Great Barrier Reef, following a severe tropical cyclone in 2011 that caused dramatic loss of coral communities. Permanent quadrats (600 m2) were monitored biannually between 2012 and 2016, and individual coral colonies were counted, sized and categorized into morphological types. The abundance of coral recruits and coral cover were also examined using permanent quadrats and random line intercept transects, respectively. The number of colonies in the smallest size class (4–10 cm) increased substantially during the study period, driving the recovery of coral populations. The total number of coral colonies 5 yr post-cyclone reached between 73 and 122% of pre-cyclone levels though coral cover remained between 16 and 31% of pre-cyclone levels, due to the dominance of small coral colonies in the recovering communities. Temporal transitions of coral demography (i.e., colony-size distributions) illustrated that the number of recently established coral populations overtook communities of surviving colonies. Coral recruits (< 4 cm in size) also showed increasing patterns in abundance over the study period, underscoring the importance of larval supply in coral recovery. A shift in morphological composition of coral communities was also observed, with the relative abundance of encrusting corals reduced post-cyclone in contrast to their dominance prior to the disturbance. This study identifies the fine-scale processes involved in the initial recovery of coral reefs, providing insights into the dynamics of coral demography that are essential for determining coral reef resilience following major disturbance.
References
Akaike H (1974) A new look at the statistical model identification. Automatic Control, IEEE Transactions on Automatic Control 19(6):716–723
Bannister RJ, Brinkman R, Wolff C, Battershill C, de Nys R (2007) The distribution and abundance of dictyoceratid sponges in relation to hydrodynamic features: identifying candidates and environmental conditions for sponge aquaculture. Marine and Freshwater Research 58:624–633
Bates D, Mächler M, Bolker B, Walker S (2015) Fitting linear mixed-effects models using lme4. Journal of Statistical Software 67:1–48. https://doi.org/10.18637/jss.v067.i01
Beeden R, Maynard J, Puotinen M, Marshall P, Dryden J, Goldberg J, Williams G (2015) Impacts and recovery from severe tropical cyclone Yasi on the Great Barrier Reef. PLoS ONE 10:e0121272. https://doi.org/10.1371/journal.pone.0121272
Berumen ML, Pratchett MS (2006) Recovery without resilience: Persistent disturbance and long-term shifts in the structure of fish and coral communities at Tiahura Reef, Moorea. Coral Reefs 25:647–653. https://doi.org/10.1007/s00338-006-0145-2
Bolker BM, Brooks ME, Clark CJ, Geange SW, Poulsen JR, Stevens MH, White JS (2009) Generalized linear mixed models: a practical guide for ecology and evolution. Trends in Ecology & Evolution 24:127–135. https://doi.org/10.1016/j.tree.2008.10.008
Burt J, Bartholomew A, Usseglio P (2008) Recovery of corals a decade after a bleaching event in Dubai, United Arab Emirates. Marine Biology 154:27–36. https://doi.org/10.1007/s00227-007-0892-9
Carlon DB (2002) Production and supply of larvae as determinants of zonation in a brooding tropical coral. Journal of Experimental Marine Biology and Ecology 268:33–46. https://doi.org/10.1016/s0022-0981(01)00369-0
Coles SL, Brown EK (2007) Twenty-five years of change in coral coverage on a hurricane impacted reef in Hawai‘i: the importance of recruitment. Coral Reefs 26:705–717. https://doi.org/10.1007/s00338-007-0257-3
Darling ES, Alvarez-Filip L, Oliver TA, McClanahan TR, Côté IM (2012) Evaluating life-history strategies of reef corals from species traits. Ecology Letters 15:1378–1386. https://doi.org/10.1111/j.1461-0248.2012.01861.x
De’ath G, Fabricius KE, Sweatman H, Puotinen M (2012) The 27-year decline of coral cover on the Great Barrier Reef and its causes. Proceedings of the National Academy of Sciences of the United States of America 109:17995–17999. https://doi.org/10.1073/pnas.1208909109
Denis V, Ribas-Deulofeu L, Sturaro N, Kuo C-Y, Chen CA (2017) A functional approach to the structural complexity of coral assemblages based on colony morphological features. Scientific Reports 7:9849
Emslie MJ, Cheal AJ, Sweatman H, Delean S (2008) Recovery from disturbance of coral and reef fish communities on the Great Barrier Reef, Australia. Marine Ecology Progress Series 371:177–190
Fisk DA, Harriott VJ (1990) Spatial and temporal variation in coral recruitment on the Great Barrier Reef: Implications for dispersal hypotheses. Marine Biology 107:485–490. https://doi.org/10.1007/bf01313433
Gilmour JP, Smith LD, Heyward AJ, Baird AH, Pratchett MS (2013) Recovery of an isolated coral reef system following severe disturbance. Science 340:69–71. https://doi.org/10.1126/science.1232310
Graham NAJ, Nash KL, Kool JT (2011) Coral reef recovery dynamics in a changing world. Coral Reefs 30:283–294. https://doi.org/10.1007/s00338-010-0717-z
Graham NAJ, Jennings S, MacNeil MA, Mouillot D, Wilson SK (2015) Predicting climate-driven regime shifts versus rebound potential in coral reefs. Nature 518:94–97. https://doi.org/10.1038/nature14140
Hoegh-Guldberg O, Mumby PJ, Hooten AJ, Steneck RS, Greenfield P, Gomez E, Harvell CD, Sale PF, Edwards AJ, Caldeira K, Knowlton N, Eakin CM, Iglesias-Prieto R, Muthiga N, Bradbury RH, Dubi A, Hatziolos ME (2007) Coral reefs under rapid climate change and ocean acidification. Science 318:1737–1742
Hothorn T, Bretz F, Westfall P (2008) Simultaneous inference in general parametric models. Biometrical Journal 50:346–363. https://doi.org/10.1002/bimj.200810425
Hughes TP, Tanner JE (2000) Recruitment failure, life histories, and long-term decline of Caribbean corals. Ecology 81:2250–2263. https://doi.org/10.1890/0012-9658(2000)081[2250:rflhal]2.0.co;2
Hughes TP, Rodrigues MJ, Bellwood DR, Ceccarelli D, Hoegh-Guldberg O, McCook L, Moltschaniwskyj N, Pratchett MS, Steneck RS, Willis B (2007) Phase shifts, herbivory, and the resilience of coral reefs to climate change. Current Biology 17:360–365. https://doi.org/10.1016/j.cub.2006.12.049
Hughes TP, Baird AH, Bellwood DR, Card M, Connolly SR, Folke C, Grosberg R, Hoegh-Guldberg O, Jackson JBC, Kleypas J, Lough JM, Marshall P, Nystrom M, Palumbi SR, Pandolfi JM, Rosen B, Roughgarden J (2003) Climate change, human impacts, and the resilience of coral reefs. Science 301:929–933
IPCC (2014) Climate Change 2013: The Physical Science Basis. Intergovernmental Panel of Climate Change, Genova
Johns KA, Osborne KO, Logan M (2014) Contrasting rates of coral recovery and reassembly in coral communities on the Great Barrier Reef. Coral Reefs 33:553–563. https://doi.org/10.1007/s00338-014-1148-z
Lewis MN, Ron WJ, Mgaya YD (1998) Factors affecting scleractinian coral recruitment on a nearshore reef in Tanzania. Ambio 27:717–722
Lukoschek V, Cross P, Torda G, Zimmermann R, Willis BL (2013) The importance of coral larval recruitment for the recovery of reefs impacted by cyclone Yasi in the central Great Barrier Reef. PloS ONE 8(6):e65363. https://doi.org/10.1371/journal.pone.0065363
Marshall PA, Baird AH (2000) Bleaching of corals on the Great Barrier Reef: differential susceptibilities among taxa. Coral Reefs 19:155–163
McCook LJ, Ayling T, Cappo M, Choat JH, Evans RD, De Freitas DM, Heupel M, Hughes TP, Jones GP, Mapstone B, Marsh H, Mills M, Molloy FJ, Pitcher CR, Pressey RL, Russ GR, Sutton S, Sweatman H, Tobin R, Wachenfeld DR, Williamson DH (2010) Adaptive management of the Great Barrier Reef: A globally significant demonstration of the benefits of networks of marine reserves. Proceedings of the National Academy of Sciences of the United States of America 107:18278–18285. https://doi.org/10.1073/pnas.0909335107
McCulloch CE, and Neuhaus JM. 2013. Generalized linear mixed models. Encyclopedia of Environmetrics. (online): John Wiley & Sons, Ltd. https://doi.org/10.1002/9780470057339.vag009.pub2
Mendelsohn R, Emanuel K, Chonabayashi S, Bakkensen L (2012) The impact of climate change on global tropical cyclone damage. Nature Clim Change 2:205–209. https://doi.org/10.1038/nclimate1357
Montebon ARF (1993) Use of the line intercept technique to determine trends in benthic cover. In: Richmond RH (ed) Proc 7th Int Coral Reef Symp, vol 1. University of Guam Press, UOG Station, pp 151–155
Muko S, Arakaki S, Nagao M, Sakai K (2013) Growth form-dependent response to physical disturbance and thermal stress in Acropora corals. Coral Reefs 32:269–280. https://doi.org/10.1007/s00338-012-0967-z
Ninio R, Meekan MG (2002) Spatial patterns in benthic communities and the dynamics of a mosaic ecosystem on the Great Barrier Reef, Australia. Coral Reefs 21:95–103. https://doi.org/10.1007/s00338-001-0202-9
Nyström M, Graham NAJ, Lokrantz J, Norström AV (2008) Capturing the cornerstones of coral reef resilience: Linking theory to practice. Coral Reefs 27:795–809. https://doi.org/10.1007/s00338-008-0426-z
Osborne K, Dolman AM, Burgess SC, Johns KA (2011) Disturbance and the dynamics of coral cover on the Great Barrier Reef (1995-2009). PLoS ONE 6:e17516
R Core Team (2016) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria
Sato Y, Bourne DG, Willis BL (2009) Dynamics of seasonal outbreaks of black band disease in an assemblage of Montipora species at Pelorus Island (Great Barrier Reef, Australia). Proceedings of the Royal Society B: Biological Sciences 276:2795–2803. https://doi.org/10.1098/rspb.2009.0481
Sato Y, Willis BL, Bourne DG (2010) Successional changes in bacterial communities during the development of black band disease on the reef coral, Montipora hispida. ISME Journal 4:203–214. https://doi.org/10.1038/ismej.2009.103
Sheppard CRC, Harris A, Sheppard ALS (2008) Archipelago-wide coral recovery patterns since 1998 in the Chagos Archipelago, central Indian Ocean. Marine Ecology Progress Series 362:109–117. https://doi.org/10.3354/meps07436
Van Oppen MJH, Peplow LM, Kininmonth S, Berkelmann R (2011) Historical and contemporary factors shape the population genetic structure of the broadcast spawning coral, Acropora millepora, on the Great Barrier Reef. Molecular Ecology 20:4899–4914
Veron J (2000) Corals of the World. Australian Institute of Marine Science, Townsville
Acknowledgements
This study was funded by a research grant from Mitsubishi Corporation and Earthwatch Australia. Data collection was supported by the citizen scientists who participated in the “Recovery of the Great Barrier Reef” project organized by Earthwatch Australia. The authors wish to thank all volunteers (> 50) who contributed to the collection of data associated with the study. The authors also thank staff of James Cook University’s Orpheus Island Research Station for their logistic support, Kathleen Morrow, Emmanuelle Botté, Nachshon Siboni, Brett Baillie, Andrew Muirhead, Naohisa Wada, Paul O’Brien, Lesa Peplow, Pedro Frade from AIMS and Sefano Katz, Gergely Torda, and Georgina Torras Jorda from Earthwatch for their support in field activities.
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Sato, Y., Bell, S.C., Nichols, C. et al. Early-phase dynamics in coral recovery following cyclone disturbance on the inshore Great Barrier Reef, Australia. Coral Reefs 37, 431–443 (2018). https://doi.org/10.1007/s00338-018-1668-z
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DOI: https://doi.org/10.1007/s00338-018-1668-z