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Ecosystems

, Volume 20, Issue 7, pp 1337–1350 | Cite as

Improved Coral Population Estimation Reveals Trends at Multiple Scales on Australia’s Great Barrier Reef

  • Julie VercelloniEmail author
  • Kerrie Mengersen
  • Fabrizio Ruggeri
  • M. Julian Caley
Article

Abstract

The global erosion of biodiversity presents unique challenges for identifying major changes in population dynamics, establishing their causes, and managing and conserving affected ecosystems at broad spatial scales. Adaptive learning approaches connecting different spatial scales through the transfer of hierarchical information are powerful tools to address such challenges. Here, we use a Semi-Parametric Bayesian Hierarchical (SPa-BaH) model to estimate coral cover trajectories using 16 years of a broad-scale survey on Australia’s Great Barrier Reef (GBR). The spatiotemporal variability of coral populations has been considered by separating three-tiered spatial scales and allowing for alternating phases of increasing and decreasing in the estimation of their trajectories. Model estimates revealed coral cover trajectories that were highly variable according to location but that fairly consistently declined at a regional spatial scale. Notwithstanding this general trend, individual reefs within subregions in the central part of the GBR often displayed different trajectory types between sites separated by only a few hundred meters. These coral dynamics were also associated with reduced recovery rates in the Cairns and Swain subregions. Our study highlights the importance of accounting for local variation in coral cover when estimating the spatiotemporal trends in coral cover trajectories, in this case, at the GBR scale. By retaining information at different hierarchical spatial scales, our SPa-BaH model supports better estimation of large-scale coral cover trajectories. The quantitative approaches developed here can also be applied to other species with complex dynamics thereby enhancing estimations of their trajectories at local- and larger-scales and options for their management.

Keywords

coral reef coral cover population responses Acropora spp. nonlinear population dynamics uncertainty large spatial scales recovery rate decline rate disturbances 

Notes

Acknowledgments

We thank Samantha Low-Choy, Mohsen Kayal and Alan Pearse for their contributions to the paper. We also thank all staff from the Australian Institute of Marine Science Long-term Monitoring Program who contributed to the collection of the data used here.

Supplementary material

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References

  1. 39th IUCN World Heritage Committee: Decisions adopted by the world heritage committee at its 39th session. http://whc.unesco.org/archive/2015/whc15-39com-19-en.pdf
  2. Beck J, Ballesteros-Mejia L, Buchmann CM, Dengler J, Fritz SA et al. 2012. What’s on the Horizon for Macroecology? Ecography 35:673–83.CrossRefGoogle Scholar
  3. Bellwood DR, Hughes TP, Folke C, Nyström M. 2004. Confronting the Coral Reef Crisis. Nature 429:827–33.CrossRefPubMedGoogle Scholar
  4. Bolker BM, Brook ME, Clark CJ, Geange SW, Poulsen JR et al. 2009. Generalized Linear Mixed Models: A Practical Guide for Ecology and Evolution. Trends in Ecology and Evolution 24:127–35.CrossRefPubMedGoogle Scholar
  5. Brodie J, Waterhouse J. 2012. A Critical Review of Environmental Management of the ‘Not so Great’ Barrier Reef. Estuarine Coastal and Shelf Science 104:1–22.CrossRefGoogle Scholar
  6. Burke L, Reytar K, Spalding M, Perry A. 2011. Reefs at Risk Revised. Washington DC: World Resources Institute. p 114p.Google Scholar
  7. Butchart SHM, Walpole M, Collen B, van Strien A, Scharlemann JPW et al. 2010. Global Biodiversity: Indicators of Recent Declines. Science 328:1164–8.CrossRefPubMedGoogle Scholar
  8. Caley MJ, Fisher R, Mengersen K. 2014. Global Species Richness Estimates Have Not Converged. Trends in Ecology and Evolution 4:187–8.CrossRefGoogle Scholar
  9. Clark JS. 2003. Uncertainty and Variability in Demography and Population Growth: A Hierarchical Approach. Ecology 6:1370–81.CrossRefGoogle Scholar
  10. Crainiceanu CM, Ruppert D, Wand MP. 2005. Bayesian Analysis for Penalized Spline Regression Using WinBUGS. Journal of Statistical Software 14:1–24.CrossRefGoogle Scholar
  11. Cressie N, Calder CA, Clark JS, Ver Hoef JM, Wikle CK. 2009. Accounting for Uncertainty in Ecological Analysis: The Strengths and Limitations of Hierarchical Statistical Modeling. Ecological Applications 19:553–70.CrossRefPubMedGoogle Scholar
  12. Connell JH. 1997. Disturbance and Recovery of Coral Assemblages. Coral Reefs 16:101–13.CrossRefGoogle Scholar
  13. De’ath G, Fabricius KE. 2010. Water quality as regional Driver of Coral Biodiversity and Macroalgal Cover on the Great Barrier Reef. Ecological Applications 20:840–50.CrossRefPubMedGoogle Scholar
  14. D’eath 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 109:995–9.Google Scholar
  15. De Groot R, Brander L, van der Ploeg S, Costanza R, Bernard F, Braat L et al. 2012. Global Estimates of Value of Ecosystems and Their Services in Monetary Units. Ecosystem Services 1:50–61.CrossRefGoogle Scholar
  16. Ellison AM. 2004. Bayesian Inference in Ecology. Ecology Letters 7:509–20.CrossRefGoogle Scholar
  17. Fisher R, Radford BT, Knowlton N, Brainard RE, Michaelis FB, Caley MJ. 2011. Global Mismatch Between Research Effort and Conservation Needs on Tropical Coral Reefs. Conservation Letters 4:64–72.CrossRefGoogle Scholar
  18. Foden WB, Butchart SHM, Stuart SN, Vié JC, Akçakaya HR, Angulo A et al. 2013. Identifying the World’s Most Climate Change Vulnerable Species: A Systematic Trait-Based Assessment of All Birds, Amphibians and Corals. PLoS ONE 8:e65427.CrossRefPubMedPubMedCentralGoogle Scholar
  19. Global Coral Reef Monitoring Network (GCRMN) manages by the International Coral Reef Initiative (ICRI). http://www.icriforum.org/GCRMN_publications.
  20. Graham NAJ, Nash KL, Kool JT. 2011. Coral Reef Recovery Dynamics in a Changing World. Coral Reefs 30:283–94.CrossRefGoogle Scholar
  21. Graham NAJ, Chong-Seng KM, Huchery C, Januchowski-Hartley FA, Nash KL. 2014. Coral Reef Community Composition in the Context of Disturbance History on the Great Barrier Reef, Australia. PLoS ONE 9:e101204.CrossRefPubMedPubMedCentralGoogle Scholar
  22. Halford AR, Cheal AJ, Ryan D, Williams D. 2004. Resilience to Large-Scale Disturbance in Coral and Fish Assemblages on the Great Barrier Reef. Ecology 7:892–905.Google Scholar
  23. Halford AR, Caley MJ. 2009. Towards an Understanding of Resilience in Isolated Coral Reefs. Global Change Biology 15:3031–45.CrossRefGoogle Scholar
  24. Hoegh-Guldberg O, Mumby PJ, Hooten AJ, Steneck RS, Greenfield P et al. 2007. Reefs Under Rapid Climate Change and Ocean Acidification. Science 318:1737–42.CrossRefPubMedGoogle Scholar
  25. Hughes TP, Baird AH, Bellwood DR, Card M, Connolly SR et al. 2003. Climate Change, Human Impacts, and the Resilience of Coral Reefs. Science 301:929–33.CrossRefPubMedGoogle Scholar
  26. Hughes TP, Graham NAJ, Jackson JBC, Mumby PJ, Steneck RS. 2010. Rising to the Challenge of Sustaining Coral Reef Resilience. Trends in Ecology and Evolution 25:633–42.CrossRefPubMedGoogle Scholar
  27. Hughes TP, Bellwood DR, Baird AH, Brodie J, Bruno JF et al. 2011. Shifting Base-Lines, Declining Coral Cover, and the Erosion of Reef Resilience: Comment on Sweatman et al. (2011). Coral Reefs 30:653–60.CrossRefGoogle Scholar
  28. Johnson JE, Maynard JA, Devlin MJ, Wilkinson S, Anthony KRN, Yorkston H, Heron SF, Puotinen ML, Van Hooidonk R. 2013. Chapter 2: Resilience of Great Barrier Reef Marine Ecosystems and Drivers of Change. Reef Water Quality Scientific Consensus Statement 2013. Department of the Premier and Cabinet, Queensland Government, Brisbane.Google Scholar
  29. Johns KA, Osborne KO, Logan M. 2014. Contrasting Rates of Coral Recovery and Reassembly in Coral Communities on the Great Barrier Reef. Coral Reefs 33:553–63.CrossRefGoogle Scholar
  30. Jonker M, Johns K, Osborne K. 2008. Surveys of Benthic Reef Communities Using Underwater Digital Photography and Counts of Juvenile Corals. Long-term Monitoring of the Great Barrier Reef Standard Operation Procedure Number 10.Google Scholar
  31. Kayal M, Vercelloni J, Lison de Loma T, Bosserelle P, Chancerelle Y et al. 2012. Predator Crown-of-Thorns Starfish (Acanthaster planci) Outbreak, Mass Mortality of Corals, and Cascading Effects on Reef Fish and Benthic Communities. PLoS ONE 7:e47363.CrossRefPubMedPubMedCentralGoogle Scholar
  32. Levy O, Ball BA, Bond-Lamberty B, Cheruvelil KS, Finley AO et al. 2014. Approaches to Advance Scientific Understanding of Macrosystems Ecology. Frontiers in Ecology and the Environment 12:15–23.CrossRefGoogle Scholar
  33. Levin SA. 1998. Ecosystems and the Biosphere as Complex Adaptive Systems. Ecosystems 5:431–6.CrossRefGoogle Scholar
  34. Luo Y, Mellilow J, Niu S, Beier C, Clark JS et al. 2010. Coordinated Approaches to Quantify Long-Term Ecosystem Dynamics in Response to Global Change. Global Change Biology 17:843–54.CrossRefGoogle Scholar
  35. MacNeil MA, Graham NAJ, Polunin NVC, Kulbicki M, Galzin R et al. 2009. Hierarchical Drivers of Reef-Fish Metacommunity Structure. Ecology 1:252–64.CrossRefGoogle Scholar
  36. McClanahan TR. 2014. Decadal Coral Community Reassembly on an African Fringing Reef. Coral Reefs 33:939–50.CrossRefGoogle Scholar
  37. McMahon SM, Diez JM. 2007. Scales of Association: Hierarchical Linear Models and the Measurement of Ecological Systems. Ecology Letters 6:437–52.CrossRefGoogle Scholar
  38. Miao S, Carstenn S, Nungesser M. 2009. Unprecedented Challenges in Ecological Research: Past and Present. Real World in Ecology: Large-Scale and Long-Term Case Studies and Methods. New York: Springer. p 1–19.CrossRefGoogle Scholar
  39. Nash KL, Allen CR, Angeler DG, Barichievy C, Eason T, et al. 2014. Discontinuities, Cross-Scale Patterns, and the Organization of Ecosystems. Nebraska Cooperative Fish & Wildlife Research Unit—Staff Publications Paper 133.Google Scholar
  40. NOAA coral reef conservation program (CRCP). http://coralreef.noaa.gov/.
  41. Oliver JK, De’ath AG, Done TJ, Williams DMcB, Furnas MJ, Moran PJ. 1995. Long-Term Monitoring of the Great Barrier Reef. Status Report Number 1. LTMP No.1. Australian Institute of Marine Science. 121 p.Google Scholar
  42. 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.CrossRefPubMedPubMedCentralGoogle Scholar
  43. Pandolfi JM, Bradbury RH, Sala RE, Hughes TP, Bjorndal KA et al. 2003. Global Trajectories of the Long-Term Decline of Coral Reef Ecosystems. Science 301:955–8.CrossRefPubMedGoogle Scholar
  44. Pratchett MS, Trapon M, Berumen ML. 2011. Recent Disturbances Augment Community Shifts in Coral Assemblages in Moorea, French Polynesia. Coral Reefs 30:183–93.CrossRefGoogle Scholar
  45. Roff G, Mumby PJ. 2012. Global Disparity in the Resilience of Coral Reefs. Trends in Ecology and Evolution 27:403–13.CrossRefGoogle Scholar
  46. Sweatman H, Delean S, Syms C. 2011. Assessing Loss of Coral Cover on the Great Barrier Reef: A response to Hughes et al. (2011). Coral Reefs 30:661–64.Google Scholar
  47. Sweatman H, Cheal A, Coleman G, Emslie M, Johns K, et al. 2008. Long-Term Monitoring of the Great Barrier Reef. Statut report number 8, Australian Institute of Marine Science, 369 p.Google Scholar
  48. Vercelloni J, Caley MJ, Kayal M, Low-Choy S, Mengersen K. 2014. Understanding Uncertainties in Non-Linear Population Trajectories: A Bayesian Semi-Parametric Hierarchical Approach to Large-Scale Surveys of Coral Cover. PLoS ONE 9:e110968.CrossRefPubMedPubMedCentralGoogle Scholar
  49. Wood SN. 2001. Partially Specified Ecological Models. Ecological Monographs 71:1–25.CrossRefGoogle Scholar
  50. Wu J, David JL. 2002. A Spatially Explicit Hierarchical Approach to Modelling Complex Ecological Systems: Theory and Applications. Ecological Modelling 153:7–26.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  • Julie Vercelloni
    • 1
    • 2
    Email author
  • Kerrie Mengersen
    • 1
    • 2
  • Fabrizio Ruggeri
    • 3
    • 4
  • M. Julian Caley
    • 1
    • 2
  1. 1.School of Mathematical SciencesQueensland University of TechnologyBrisbaneAustralia
  2. 2.Australian Research Council Centre of Excellence for Mathematical and Statistical FrontiersBrisbaneAustralia
  3. 3.CNR IMATIMilanItaly
  4. 4.Institute for Future EnvironmentsQueensland University of TechnologyBrisbaneAustralia

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