Abstract
Boreal forest in Canada has two main recurrent disturbances: one is fire and the other one is spruce budworm. The defoliation by spruce budworm, Choristoneura fumiferana (Clem.) (Lepidoptera: Tortricidae) was first started in British Columbia of Canada in 1957 near Liard River. Budworm outbreaks were observed in the 1960’s to 1970’s and from the mid 1980’s to the present. Spruce budworm disturbance is one of the major issues of the forest management because of the potential losses of timber and non-timber resources in the boreal forest. To develop a sustainable management of the boreal ecosystem, mathematical modeling approaches for the budworm outbreak have been progressed. For this understanding, we propose a single species reaction-diffusion model appended with Holling type II functional response. In this paper, our main goal is to understand the spreading phenomenon of spruce budworm and subsequently identify its spreading velocity. In order to determine the spreading velocity, we focus on the one-dimensional traveling wave solutions of the model. Our results suggest that the minimal speed of traveling wave solutions can exhibit the spreading velocity of the spruce budworm in boreal forests.
Similar content being viewed by others
References
Lakehead University: Boreal Forests of the World. Lakehead University, Faculty of Forestry and the Forest Environment (2007)
Navarro, Lionel, Morin, Hubert, Bergeron, Yves, Girona, Miguel Montoro: Changes in spatiotemporal patterns of 20th century spruce budworm outbreaks in eastern Canadian boreal forests. Front. Plant Sci. 9, 1905 (2018)
Anyomi, K., Mitchell, S., Ruel, J.-C.: Windthrow modelling in old-growth and multi-layered boreal forests. Ecol. Modell. 327, 105–114 (2016)
Wermelinger, B.: Ecology and management of the spruce bark beetle Ips typographus - a review of recent research. For. Ecol. Manage. 202, 67–82 (2004)
Cooke, B.J., Nealis, V.G., Régnière, J.: Insect defoliators as periodic disturbances in northern forest ecosystems. In: Johnson, E.A., Miyanishi, K. (eds.) Plant Disturbance Ecology: The Process and The Response, pp. 487–526. Academic Press, London (2007)
MacLean, D.A., Erdle, T.A., Porter, K.B., et al.: The spruce budworm decision support system: forest protection planning to sustain long-term wood supply. Can. J. For. Res. 31, 1742–1757 (2001)
Hennigar, C.R., MacLean, D.A., Porter, K.B., Quiring, D.T.: Optimized harvest planning under alternative foliage-protection scenarios to reduce volume losses to spruce budworm. Can. J. For. Res. 37, 1755–1769 (2007)
Sturtevant, B.R., Cooke, B.J., Kneeshaw, D.D., Maclean, D.A.: Modeling insect disturbance across forested landscapes: insights from the spruce budworm. In: Perera, A.H., Sturtevant, B.R., Buse, L.J. (eds.) Simulation Modeling of Forest Landscape Disturbances, pp. 93–134. Springer, Cham (2015)
Morris, R.F.: (ed), The dynamics of epidemic spruce budworm populations. Mem. Entomol. Soc. Can. 31, 202–218 (1963)
Greenbank, D.O., Schaefer, G.W., Rainey, R.C.: Spruce budworm (Lepidoptera: Tortricidae) moth flight and dispersal: new understanding from canopy observations, radar, and aircraft. Mem. Entomol. Soc. Can. 110, 1–49 (1980)
Royama, T.: Population dynamics of the spruce budworm Choristoneura fumiferana. Ecol. Monogr. 54, 429–462 (1984)
Sanders, C.J., Stark, R.W., Mullins, E.J., Murphy, J. (eds): Recent advances in spruce budworms research. In: Proceedings of the CANUSA spruce budworms research symposium, Bangor, Maine, 16 2- 0. Canadian Forest Service, Ottawa, ON (1985)
Robert, L.E., Kneeshaw, D., Sturtevant, B.R.: Effects of forest management legacies on spruce budworm (Choristoneura fumiferana) outbreaks. Can. J. For. Res. 42(3), 463–475 (2012)
MacLean, D.A.: Impacts of insect outbreaks on tree mortality, productivity, and stand development. Can. Entomol. 148, S138–S159 (2016)
Myers, J.H., Cory, C.: Population cycles in forest Lepidoptera revisited. Ann. Rev. Ecol. Evol. Syst. 44, 565–592 (2013)
MacLean, D.A.: Vulnerability of fir-spruce stands during uncontrolled spruce budworm outbreaks: a review and discussion. For. Chron. 56, 213–221 (1980)
Anderson, D.P., Sturtevant, B.R.: Pattern analysis of eastern spruce budworm Choristoneura fumiferana dispersal. Ecography 34, 488–497 (2011)
Ludwig, D., Jones, D.D., Holling, C.S.: Qualitative analysis of insect outbreak systems: the spruce budworm and forest. J. Anim. Ecol. 47, 315–332 (1978)
Arriola, P., Mijares-Bernal, I., Ortiz-Navarro, J.A., Saenz, R.A.: Dynamics of the spruce budworm population under the action of predation and insecticides, Department of Biometrics, Cornell University, Technical Report Series, BU-1517-M (1999)
Al-Khalil, H., Brennan, C., Decker, R., Demirkaya, A., Nagode, J.: Numerical existence and stability of solutions to the distributed spruce budworm model. Involve J. Math. 10(5), 857–879 (2017)
Clark, W.C.: Spatial structure relationship in a forest insect system: simulation models and analysis. Mitteilungen der Schweizerischen Entomologischen Gesellschaft 52, 235–257 (1979)
Singh, M., Easton, A.L.A.N., Kozlova, I.: A numerical study of the spruce budworm reaction-diffusion equation with hostile boundaries. Nat. Res. Model. 13(4), 535–549 (2000)
Vaidya, N.K., Wu, J.: Modeling spruce budworm population revisited: impact of physiological structure on outbreak control. Bull. Math. Biol. 70(3), 769–784 (2008)
Robeva, R., Murrugarra, D.: The spruce budworm and forest: a qualitative comparison of ODE and Boolean models. Lett. Biomath. 3(1), 75–92 (2016)
Royama, T., et al.: Analysis of spruce budworm outbreak cycles in New Brunswick, Canada, since 1952. Ecology 86(5), 1212–1224 (2005)
Song, Y.: Comparison theorems for splittings of matrices. Numer. Math. 92, 563–591 (2002)
Kabir, M.H., Mimura, M., Tsai, J.C.: Spreading waves in a farmers and hunter-gatherers model of the Neolithic transition in Europe. Bull. Math. Biol. 80(9), 2452–2480 (2018)
Murray, J.D.: Mathematical biology: I. An introduction. Springer Science & Business Media, Berlin (2007)
Fisher, R.A.: The advance of advantageous genes. Ann. Eugen. 7, 335–369 (1937)
Sherratt, J.A.: On the transition from initial data to travelling waves in the Fisher-KPP equation. Dyn. Stab. Syst. 13(2), 167–174 (1998)
Kolmogorov, A.N., Petrovsky, I.G., Piscounov, N.S.: A study of the diffusion equation with increase in the amount of substance, and its application to a biological problem. Bull. Mosc. Univ. Math. Mech. 1, 1–26 (1937)
Faustino, S.-G., Maini, P.K., Kappos, M.E.: A shooting argument approach to a sharp-type solution for nonlinear degenerate Fisher-KPP equations. IMA J. Appl. Math. 57(3), 211–221 (1996)
Blais, J.R.: Trends in the frequency, extent, and severity of spruce budworm outbreaks in eastern Canada. Can. J. For. Res. 13(4), 539–547 (1983)
Swetnam, T.W., Lynch, A.M.: Multicentury, regional-scale patterns of western spruce budworm outbreaks. Ecol. Monogr. 63(4), 399–424 (1993)
Régnière, J., Nealis, V.G.: Ecological mechanisms of population change during outbreaks of the spruce budworm. Ecol. Entomol. 32, 461–477 (2007)
Eveleigh, E.S., McCann, K.S., McCarthy, P.C., et al.: Fluctuations in density of an outbreak species drive diversity cascades in food webs. Proc. Nat. Acad. Sci. 104, 16976–16981 (2007)
Régnière, J., St-Amant, R., Duval, P.: Predicting insect distributions under climate change from physiological responses: spruce budworm as an example. Biol. Invasions 14, 1571–1586 (2012)
Larsson, S., Thomee, V.: Finite Difference Methods for Parabolic Problems. In: Partial Differential Equations with Numerical Methods. Texts in Applied Mathematics, vol 45. Springer, Berlin, Heidelberg
Acknowledgements
The author would like to thank Professor Masayasu Mimura for his valuable suggestions and encouragement to conduct this research.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Kabir, M.H. Reaction-diffusion modeling of the spread of spruce budworm in boreal ecosystem. J. Appl. Math. Comput. 66, 203–219 (2021). https://doi.org/10.1007/s12190-020-01427-3
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12190-020-01427-3