Research article

Dynamics of coral–macroalgae interactions under crowding

  • Published: 20 August 2026
  • We studied a planar ordinary differential equation (ODE) model for the benthic competition between coral, macroalgae, and algal turf on a reef, extending the classical model of Mumby, Hastings, and Edwards by a nonlinear, density-dependent coral mortality that accounts for crowding. The strength of crowding is set by an exponent $ \delta > 0 $ that reshapes the coral nullcline and enriches the bifurcation structure of the system. We established positive invariance of the biologically relevant region and the absence of periodic orbits, classified the three boundary equilibria together with their local stability, and reduced the coexistence problem to a single scalar equation whose shape (in particular, its concavity) controls the number and local stability of the interior equilibria. When crowding makes this equation non-concave, the reef can support three coexistence equilibria and become locally tristable. The grazing intensity $ g $ organizes the dynamics through two thresholds $ g_0 < g_1 $ determining the stability of the coral- and macroalgae-dominated states, and a further threshold $ g^\star $ at which two interior equilibria collide. We proved that the system undergoes a transcritical bifurcation at the coral-dominated state and, for $ \delta\in \mathbb{N} $, at the macroalgae-dominated state, together with a saddle-node bifurcation of interior equilibria, and we discussed the implications for coral reef resilience and hysteresis. We complemented these results with numerical simulations that illustrate the bifurcation sequence across the grazing regimes.

    Citation: Julie C. Blackwood, Katerina Nik, Simon Nik. Dynamics of coral–macroalgae interactions under crowding[J]. Mathematical Biosciences and Engineering, 2026, 23(9): 2581-2612. doi: 10.3934/mbe.2026093

    Related Papers:

  • We studied a planar ordinary differential equation (ODE) model for the benthic competition between coral, macroalgae, and algal turf on a reef, extending the classical model of Mumby, Hastings, and Edwards by a nonlinear, density-dependent coral mortality that accounts for crowding. The strength of crowding is set by an exponent $ \delta > 0 $ that reshapes the coral nullcline and enriches the bifurcation structure of the system. We established positive invariance of the biologically relevant region and the absence of periodic orbits, classified the three boundary equilibria together with their local stability, and reduced the coexistence problem to a single scalar equation whose shape (in particular, its concavity) controls the number and local stability of the interior equilibria. When crowding makes this equation non-concave, the reef can support three coexistence equilibria and become locally tristable. The grazing intensity $ g $ organizes the dynamics through two thresholds $ g_0 < g_1 $ determining the stability of the coral- and macroalgae-dominated states, and a further threshold $ g^\star $ at which two interior equilibria collide. We proved that the system undergoes a transcritical bifurcation at the coral-dominated state and, for $ \delta\in \mathbb{N} $, at the macroalgae-dominated state, together with a saddle-node bifurcation of interior equilibria, and we discussed the implications for coral reef resilience and hysteresis. We complemented these results with numerical simulations that illustrate the bifurcation sequence across the grazing regimes.



    加载中


    [1] F. Moberg, C. Folke, Ecological goods and services of coral reef ecosystems, Ecol. Econ., 29 (1999), 215–233. https://doi.org/10.1016/S0921-8009(99)00009-9 doi: 10.1016/S0921-8009(99)00009-9
    [2] S. S. Ban, N. A. J. Graham, S. R. Connolly, Evidence for multiple stressor interactions and effects on coral reefs, Glob. Change Biol., 20 (2014), 681–697. https://doi.org/10.1111/gcb.12453 doi: 10.1111/gcb.12453
    [3] A. R. Harborne, A. Rogers, Y. M. Bozec, P. J. Mumby, Multiple stressors and the functioning of coral reefs, Annu. Rev. Mar. Sci., 9 (2017), 445–468. https://doi.org/10.1146/annurev-marine-010816-060551 doi: 10.1146/annurev-marine-010816-060551
    [4] T. P. Hughes, J. H. Connell, Multiple stressors on coral reefs: a long-term perspective, Limnol. Oceanogr., 44 (1999), 932–940. https://doi.org/10.4319/lo.1999.44.3_part_2.0932 doi: 10.4319/lo.1999.44.3_part_2.0932
    [5] D. R. Bellwood, T. P. Hughes, C. Folke, M. Nyström, Confronting the coral reef crisis, Nature, 429 (2004), 827–833. https://doi.org/10.1038/nature02691 doi: 10.1038/nature02691
    [6] T. P. Hughes, Catastrophes, phase shifts, and large-scale degradation of a Caribbean coral reef, Science, 265 (1994), 1547–1551. https://doi.org/10.1126/science.265.5178.1547 doi: 10.1126/science.265.5178.1547
    [7] N. Knowlton, Thresholds and multiple stable states in coral reef community dynamics, Am. Zool., 32 (1992), 674–682.
    [8] P. J. Mumby, A. Hastings, H. J. Edwards, Thresholds and the resilience of Caribbean coral reefs, Nature, 450 (2007), 98–101. https://doi.org/10.1038/nature06252 doi: 10.1038/nature06252
    [9] H. A. Lessios, D. R. Robertson, J. D. Cubit, Spread of Diadema mass mortality through the Caribbean, Science, 226 (1984), 335–337. https://doi.org/10.1126/science.226.4672.335 doi: 10.1126/science.226.4672.335
    [10] J. C. Blackwood, A. Hastings, P. J. Mumby, The effect of fishing on hysteresis in Caribbean coral reefs, Theor. Ecol., 5 (2012), 105–114. https://doi.org/10.1007/s12080-010-0102-0 doi: 10.1007/s12080-010-0102-0
    [11] T. Fung, R. M. Seymour, C. R. Johnson, Alternative stable states and phase shifts in coral reefs under anthropogenic stress, Ecology, 92 (2011), 967–982. https://doi.org/10.1890/10-0378.1 doi: 10.1890/10-0378.1
    [12] E. Bayraktarov, P. J. Stewart-Sinclair, S. Brisbane, L. Boström-Einarsson, M. I. Saunders, C. E. Lovelock, et al., Motivations, success, and cost of coral reef restoration, Restor. Ecol., 27 (2019), 981–991. https://doi.org/10.1111/rec.12977 doi: 10.1111/rec.12977
    [13] S. N. Zhao, S. L. Yuan, A coral reef benthic system with grazing intensity and immigrated macroalgae in deterministic and stochastic environments, Math. Biosci. Eng., 19 (2022), 3449–3471. https://doi.org/10.3934/mbe.2022159 doi: 10.3934/mbe.2022159
    [14] C. Xu, W. Chen, J. Hu, Deterministic and stochastic analysis of a coral reef ecosystem with grazed macroalgae, Int. J. Biomath., 18 (2025), 2450039. https://doi.org/10.1142/S1793524524500396 doi: 10.1142/S1793524524500396
    [15] C. Xu, Q. Chen, How environmental stochasticity can destroy the persistence of macroalgae in a coral reefs ecosystem, Math. Biosci., 382 (2025), 109402. https://doi.org/10.1016/j.mbs.2025.109402 doi: 10.1016/j.mbs.2025.109402
    [16] C. Xu, Y. Cai, L. Wan, Global dynamics of a coral reef model with grazing by coral-mediated herbivores, J. Biol. Syst., (2026), 1–21. https://doi.org/10.1142/S0218339026500300
    [17] T. P. Hughes, Population dynamics based on individual size rather than age: a general model with a reef coral example, Am. Nat., 123 (1984), 778–795. https://doi.org/10.1086/284239 doi: 10.1086/284239
    [18] X. Li, H. Wang, Z. Zhang, A. Hastings, Mathematical analysis of coral reef models, J. Math. Anal. Appl., 416 (2014), 352–373. https://doi.org/10.1016/j.jmaa.2014.02.053 doi: 10.1016/j.jmaa.2014.02.053
    [19] M. Tan, G. Lan, C. Wei, Mathematical insights into the influence of delay and external recruitment on coral–macroalgae system, J. Franklin Inst., 361 (2024), 107329. https://doi.org/10.1016/j.jfranklin.2024.107329 doi: 10.1016/j.jfranklin.2024.107329
    [20] C. Doropoulos, N. R. Evensen, L. A. Gómez-Lemos, R. C. Babcock, Density-dependent coral recruitment displays divergent responses during distinct early life-history stages, R. Soc. Open Sci., 4 (2017), 170082. https://doi.org/10.1098/rsos.170082 doi: 10.1098/rsos.170082
    [21] J. S. Madin, A. H. Baird, M. Dornelas, S. R. Connolly, Mechanical vulnerability explains size-dependent mortality of reef corals, Ecol. Lett., 17 (2014), 1008–1015. https://doi.org/10.1111/ele.12306 doi: 10.1111/ele.12306
    [22] E. H. Meesters, M. Hilterman, E. Kardinaal, M. Keetman, M. de Vries, R. P. M. Bak, Colony size-frequency distributions of scleractinian coral populations: spatial and interspecific variation, Mar. Ecol. Prog. Ser., 209 (2001), 43–54. https://doi.org/10.3354/meps209043 doi: 10.3354/meps209043
    [23] L. Perko, Differential Equations and Dynamical Systems, 3$^{rd}$ edition, Springer, New York, 2001. https://doi.org/10.1007/978-1-4613-0003-8
    [24] Z. Zhang, T. Ding, W. Huang, Z. Dong, Qualitative Theory of Differential Equations, Translations of Mathematical Monographs, American Mathematical Society, Providence, RI, 1992. https://doi.org/10.1090/mmono/101
  • Reader Comments
  • © 2026 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(240) PDF downloads(44) Cited by(0)

Article outline

Figures and Tables

Figures(6)  /  Tables(2)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog