Primary: 92D40, 34D, 35K; Secondary: 35C07.

Export file:

Format

• RIS(for EndNote,Reference Manager,ProCite)
• BibTex
• Text

Content

• Citation Only
• Citation and Abstract

Spatially heterogeneous invasion of toxic plant mediated by herbivory

1. Department of Mathematics, Nanjing University of Information Science and Technology, Nanjing 210044
2. Department of Mathematical Sciences, University of Alabama in Huntsville, Huntsville, AL 35899
3. Department of Biology, University of Miami, Coral Gables, Florida 33124

## Abstract    Related pages

Spatially homogeneous (ODE) and reaction-diffusion models for plant-herbivore interactions with toxin-determined functional response are analyzed. The models include two plant species that have different levels of toxicity. The plant species with a higher level of toxicity is assumed to be less preferred by the herbivore and to have a relatively lower intrinsic growth rate than the less toxic plant species. Two of the equilibrium points of the system representing significant ecological interests are $E_1$, in which only the less toxic plant is present, and$E_2$, in which the more toxic plant and herbivore coexist while the less toxic plant has gone to extinction. Under certain conditions it is shown that, for the spatially homogeneous system all solutions will converge to the equilibrium $E_2$, whereas for the reaction-diffusion model there exist traveling wave solutions connecting $E_1$ and $E_2$.
Figure/Table
Supplementary
Article Metrics

Citation: Zhilan Feng, Wenzhang Huang, Donald L. DeAngelis. Spatially heterogeneous invasion of toxic plant mediated by herbivory. Mathematical Biosciences and Engineering, 2013, 10(5&6): 1519-1538. doi: 10.3934/mbe.2013.10.1519

References

• 1. in "Taiga Ecosystem Function" (eds. K. Van Cleve, F. S. Chapin III, P. W. Flanagan, L. A. Viereck and C. T. Dyrness), Springer-Verlag, New York, (1986), 213-225.
• 2. Journal of Biogeography, 34 (2007), 1622-1631.
• 3. SIAM J. Appl. Math., 74 (2012), 1002-1020.
• 4. in "Alaska's Changing Boreal Forest" (eds. F. S. Chapin III, M .W. Oswood, L. W. Viereck and D. L. Verbyla), Oxford University Press, Oxford, 2006.
• 5. Science, 285 (1999), 1742-1744.
• 6. Proc. Nat. Acad. Sci., 102 (2005), 12465-12470.
• 7. J. Math. Biology, 17 (1983), 11-32.
• 8. Trans. Amer. Math. Society, 286 (1984), 557-594.
• 9. Theor. Pop. Biol., 73 (2008), 449-459.
• 10. Ecosystems, 12 (2010), 534-547.
• 11. Mathematical Biosciences, 299 (2011), 190-204.
• 12. Ecological Modeling, 244 (2012), 79-92.
• 13. Lecture Notes in Biomath., 28, Springer-Verlag, New York, 1979.
• 14. Global Change Biology, 18 (2012), 3455-3463.
• 15. Bull. Amer. Math. Soc., 32 (1995), 446-452.
• 16. J. Dyn. Diff. Equations, 22 (2012), 633-644.
• 17. Ecosystems, 15 (2012), 1219-1233.
• 18. Oikos, 82 (1998), 377-383.
• 19. in "Alaska's Changing Boreal Forest" (eds. F. S. III Chapin, M. W. Oswood, L. W. Viereck and D. L. Verbyla), Oxford University Press, Oxford, (2006), 211-226.
• 20. Math. Biosci., 196 (2005), 82-98.
• 21. Chaos, Solitons and Fractals, 37 (2008), 476-486.
• 22. J. Dynam. Differential Equations, 18 (2006), 1021-1024.
• 23. J. Dynam. Diff. Equations, 23 (2011), 903-921.
• 24. J. Diff. Equations, 245 (2008), 442-467.
• 25. Phil. Trans. Royal. Society. London B, 354 (1999), 1951-1959.
• 26. Environmental Research Letters, 6 (2011), 045509.
• 27. Ecological Applications, 3 (1993), 385-395.
• 28. Global Change Biology, 15 (2009), 2681-2693.
• 29. Am. Nat., 139 (1992), 690-705.
• 30. Proceedings of the National Academy of Sciences, 105 (2008), 12353-12358.
• 31. Nature, 390 (1997), 456.
• 32. Journal of Vegetation Science, 23 (2012), 617-625.
• 33. J. Math. Biol., 30 (1992), 755-763.
• 34. Nature, 416 (2002), 389-395.
• 35. Environmental Research Letters, 6 (2011), 045505.