The dynamics of two-plant competitive models have been widely studied, while the effect of chemical heterogeneity on competitive plants is rarely explored. In this study, a model that explicitly incorporates light and total phosphorus in the system is formulated to characterize the impacts of limited carbon and phosphorus on the dynamics of the two-plant competition system. The dissipativity, existence and stability of boundary equilibria and coexistence equilibrium are proved, when the two plants compete for light equally. Our simulations indicate that, with equal competition for light ($ b_{12} = b_{21} $) and a fixed total phosphorus in the system ($ T $), plants can coexist with moderate light intensity ($ K $). A higher $ K $ tends to favor the plant with a lower phosphorus loss rate ($ d_1 $ vs $ d_2 $). When $ K $ is held constant, a moderate level of $ T $ leads to the dominance of the plant with a lower phosphorus loss rate ($ d_1 $ vs $ d_2 $). At high $ T $ levels, both plants can coexist. Moreover, our numerical analysis also shows that, when the competition for light is not equal, the low level of total phosphorus in the system may lead the model to be unstable and have more types of bistability compared with the two-dimensional Lotka-Volterra competition model.
Citation: Ling Xue, Sitong Chen, Xinmiao Rong. Dynamics of competition model between two plants based on stoichiometry[J]. Mathematical Biosciences and Engineering, 2023, 20(10): 18888-18915. doi: 10.3934/mbe.2023836
The dynamics of two-plant competitive models have been widely studied, while the effect of chemical heterogeneity on competitive plants is rarely explored. In this study, a model that explicitly incorporates light and total phosphorus in the system is formulated to characterize the impacts of limited carbon and phosphorus on the dynamics of the two-plant competition system. The dissipativity, existence and stability of boundary equilibria and coexistence equilibrium are proved, when the two plants compete for light equally. Our simulations indicate that, with equal competition for light ($ b_{12} = b_{21} $) and a fixed total phosphorus in the system ($ T $), plants can coexist with moderate light intensity ($ K $). A higher $ K $ tends to favor the plant with a lower phosphorus loss rate ($ d_1 $ vs $ d_2 $). When $ K $ is held constant, a moderate level of $ T $ leads to the dominance of the plant with a lower phosphorus loss rate ($ d_1 $ vs $ d_2 $). At high $ T $ levels, both plants can coexist. Moreover, our numerical analysis also shows that, when the competition for light is not equal, the low level of total phosphorus in the system may lead the model to be unstable and have more types of bistability compared with the two-dimensional Lotka-Volterra competition model.
[1] | J. D. Murray, Mathematical biology: I. An introduction, Springer, 17 (2002). |
[2] | Y. Song, M. Han, Y. Peng, Stability and hopf bifurcations in a competitive lotka-volterra system with two delays, Chaos Solitons Fractals, 22 (2004), 1139–1148. https://doi.org/10.1016/j.chaos.2004.03.026 doi: 10.1016/j.chaos.2004.03.026 |
[3] | Z. Jin, H. Maoan, L. Guihua, The persistence in a lotka-volterra competition systems with impulsive, Chaos Solitons Fractals, 24 (2005), 1105–1117. https://doi.org/10.1016/j.chaos.2004.09.065 doi: 10.1016/j.chaos.2004.09.065 |
[4] | X. Zhang, L. Chen, The linear and nonlinear diffusion of the competitive lotka-volterra model, Nonlinear Analysis: Theory, Methods Appl., 66 (2007), 2767–2776. https://doi.org/10.1016/j.na.2006.04.006 doi: 10.1016/j.na.2006.04.006 |
[5] | S. B. Hsu, X. Q. Zhao, A lotka-volterra competition model with seasonal succession, J. Math. Biol., 64 (2012), 109–130. https://doi.org/10.1007/s00285-011-0408-6 doi: 10.1007/s00285-011-0408-6 |
[6] | M. Wang, J. Zhao, Free boundary problems for a lotka-volterra competition system, J. Dyn. Differ. Equations, 26 (2014) 655-672. https://doi.org/10.1007/s10884-014-9363-4 doi: 10.1007/s10884-014-9363-4 |
[7] | M. Liu, M. Fan, Permanence of stochastic lotka-volterra systems, J. Nonlinear Sci., 27 (2017), 425–452. https://doi.org/10.1007/s00332-016-9337-2 doi: 10.1007/s00332-016-9337-2 |
[8] | G. Ren, B. Liu, Global solvability and asymptotic behavior in a two-species chemotaxis system with lotka-volterra competitive kinetics, Math. Models Methods Appl. Sci., 31 (2021), 941–978. https://doi.org/10.1142/S0218202521500238 doi: 10.1142/S0218202521500238 |
[9] | I. Loladze, Y. Kuang, J. J. Elser, Stoichiometry in producer-grazer systems: linking energy flow with element cycling, Bull. Math. Biol., 62 (2000), 1137–1162. https://doi.org/10.1006/bulm.2000.0201 doi: 10.1006/bulm.2000.0201 |
[10] | R. W. Sterner, J. J. Elser, Ecological stoichiometry, in: Ecological Stoichiometry, Princeton University Press, 2017. https://doi.org/10.1515/9781400885695 |
[11] | X. Yang, X. Li, H. Wang, Y. Kuang, Stability and bifurcation in a stoichiometric producer-grazer model with knife edge, SIAM J. Appl. Dyn. Syst., 15 (2016), 2051–2077. https://doi.org/10.1137/15M1023610 doi: 10.1137/15M1023610 |
[12] | C. M. Davies, H. Wang, Incorporating carbon dioxide into a stoichiometric producer-grazer model, J. Math. Biol., 83 (2021), 1–48. https://doi.org/10.1007/s00285-021-01658-3 doi: 10.1007/s00285-021-01658-3 |
[13] | J. Zhang, J. D. Kong, J. Shi, H. Wang, Phytoplankton competition for nutrients and light in a stratified lake: a mathematical model connecting epilimnion and hypolimnion, J. Nonlinear Sci., 31 (2021), 1–42. https://doi.org/10.1007/s00332-021-09693-6 doi: 10.1007/s00332-021-09693-6 |
[14] | H. Wang, Z. Lu, A. Raghavan, Weak dynamical threshold for the "strict homeostasis" assumption in ecological stoichiometry, Ecol. Model., 384 (2018), 233–240. https://doi.org/10.1016/j.ecolmodel.2018.06.027 doi: 10.1016/j.ecolmodel.2018.06.027 |
[15] | X. Li, H. Wang, A stoichiometrically derived algal growth model and its global analysis, Math. Biosci. Eng., 7 (2010), 825–836. https://doi.org/10.3934/mbe.2010.7.825 doi: 10.3934/mbe.2010.7.825 |
[16] | J. D. Kong, H. Wang, T. Siddique, J. Foght, K. Semple, Z. Burkus, et al., Second-generation stoichiometric mathematical model to predict methane emissions from oil sands tailings, Sci. Total Environ., 694 (2019), 133645. https://doi.org/10.1016/j.scitotenv.2019.133645 doi: 10.1016/j.scitotenv.2019.133645 |
[17] | V. Kirkow, H. Wang, P. V. Garcia, S. Ahmed, C. M. Heggerud, Impacts of a changing environment on a stoichiometric producer-grazer system: a stochastic modelling approach, Ecol. Model., 469 (2022), 109971. https://doi.org/10.1016/j.ecolmodel.2022.109971 doi: 10.1016/j.ecolmodel.2022.109971 |
[18] | H. Wang, Y. Kuang, I. Loladze, Dynamics of a mechanistically derived stoichiometric producer-grazer model, J. Biol. Dyn., 2 (2008), 286–296. https://doi.org/10.1080/17513750701769881 doi: 10.1080/17513750701769881 |
[19] | A. Peace, H. Wang, Y. Kuang, Dynamics of a producer-grazer model incorporating the effects of excess food nutrient content on grazer's growth, Bull. Math. Biol., 76 (2014), 2175–2197. https://doi.org/10.1007/s11538-014-0006-z doi: 10.1007/s11538-014-0006-z |
[20] | D. Tilman, Mechanisms of plant competition for nutrients: the elements of a predictive theory of competition, Perspectives on Plant Competition, Academic Press, (1990), 117–141. |
[21] | J. Ji, H. Wang, Competitive exclusion and coexistence in a stoichiometric chemostat model, J. Dyn. Differ. Equations, 2022. https://doi.org/10.1007/s10884-022-10188-5 doi: 10.1007/s10884-022-10188-5 |
[22] | Y. Kuang, J. Huisman, J. J. Elser, Stoichiometric plant-herbivore models and their interpretation, Math. Biosci. Eng., 1 (2004) 215-222. https://doi.org/10.3934/mbe.2004.1.215 doi: 10.3934/mbe.2004.1.215 |
[23] | L. Markus, II. asymptotically autonomous differential systems, Contributions to the Theory of Nonlinear Oscillations, Princeton University Press, 3 (2016), 17. https://doi.org/10.1515/9781400882175-003 |
[24] | A. Hurwitz. Ueber die Bedingungen, unter welchen eine Gleichung nur Wurzeln mit negativen reellen Theilen besitzt, Mathematische Annalen, 46 (1895), 273–284. |
[25] | T. A. Burton, Volterra integral and differential equations, Elsevier, 2005. |
[26] | I. Loladze, Y. Kuang, J. J. Elser, W. F. Fagan, Competition and stoichiometry: coexistence of two predators on one prey, Theor. Popul. Biol., 65 (2004), 1–15. https://doi.org/10.1016/S0040-5809(03)00105-9 doi: 10.1016/S0040-5809(03)00105-9 |