Abstract
The foraging territories of two subterranean termites, Coptotermes formosanus Shiraki and Reticulitermes flavipes (Kollar), were simulated using a two-dimensional model to explore how territorial competition changes according to two variables characterizing territory formation: the total number of territories, and the blocking probability. Meanwhile, the blocking probability quantitatively describes the likelihood that a tunnel will be terminated when another tunnel is encountered. In our previous study, we introduced an interference coefficient γ to characterize territorial competition, and obtained γ as a function of the total number of territories and the blocking probability for a single termite species by model simulation. In the field, the territorial competition of more than two termite species is frequently observed. Here, we extended the γ function to be able to explain the competition between the two species by applying statistical regression to the simulation data. Further, we statistically checked the extended γ function by comparing the γ function for a single species. We also discuss another approach to mathematically derive the extended γ function, which can be easily generalized for use in cases of territorial competition involving more than two termite species.
Similar content being viewed by others
References
Adams ES, Levings S (1987) Territory size and population limits in mangrove termites. J Anim Ecol 56:1069–1081
Anton H, Rorres C (2005) Elementary linear algebra. Wiley, New York
Blondel V, Gevers M (1993) Simultaneous stabilization of linear systems and interpolation with rational functions. Math Control Signal 6:135–145
Buhl J, Gautrais J, Deneubourg JL, Kuntz P, Theraulaz G (2006) The growth and form of tunneling networks in ants. J Theor Biol 243:287–298
Bultheel A, Gonzalez-Vera P, Hendriksen E, Njastad O (1999) Interpolation by rational functions with nodes on the unit circle. Acta Appl Math 61:101–118
Forschler BT (1994) Fluorescent spray paint as a topical marker on subterranean termites (Isoptera: rhinotermitidae). Sociobiology 24:27–38
Ganeshaiah KN, Veena T (1991) Topology of the foraging trails of Leptogenys processionalis—why are they branched? Behav Ecol Sociobiol 29:263–270
Jeon W, Lee S-H (2011) Simulation study of territory size distribution in subterranean termites. J Theor Biol 279:1–8
King EG, Spink WT (1969) Foraging galleries of the Formosan subterranean termite, Coptotermes formosanus, in Louisiana. Ann Entomol Soc Am 62:536–542
La Fage JP, Nutting WL, Haverty MI (1973) Desert subterranean termites: a method for studying foraging behavior. Environ Entomol 2:954–956
Lee S-H, Su N-Y (2008) A simulation study of territory size distribution of mangrove termites on Atlantic coast of Panama. J Theor Biol 253:518–523
Lee S-H, Su N-Y (2009a) A simulation study of subterranean termite’s territory formation. Ecol Inform 4:111–116
Lee S-H, Su N-Y (2009b) The effects of fractal landscape structure on the territory size distribution of subterranean termites: a simulation study. J Korean Phys Soc 54:1697–1701
Lee S-H, Su N-Y (2010) Territory size distribution of Formosan subterranean termites in urban landscape: comparison between experimental and simulated results. J Asia-Pacific Entomol 14:1–6
Lee C-Y, Vongkaluang C, Lenz M (2007a) Challenges to subterranean termite management of multi-genera faunas in Southeast Asia and Australia. Sociobiology 50:213–221
Lee S-H, Su N-Y, Bardunias P (2007b) Exploring landscape structure effect on termite territory size using a model approach. Biosystems 90:890–896
Li T, He KH, Gao DX, Chao Y (1976) A preliminary study on the foraging behavior of the termite, Coptotermes formosanus (Shiraki), by labeling with iodine-131. Acta Entomol Sinica 19:32–38 (In Chinese, with English summary)
Messenger MT, Su N-Y (2005) Colony characteristics and seasonal activity of the Formosan subterranean termite (Isoptera: rhinotermitidae) in Louis Armstrong Park, New Orleans, Louisiana. J Entomol Sci 40:268–279
Ratcliffe FN, Greaves T (1940) The subterranean foraging galleries of Coptotermes lacteus (Froggatt). J Counc Sci Ind Res Aust 13:150–161
Selkirk KE (1982) Pattern and place: an introduction to the mathematics of geography. Cambridge University Press, New York
Spragg WT, Paton R (1980) Tracing, trophallaxis and population measurement of colonies of subterranean termites (Isoptera) using a radioactive tracer. Ann Entomol Soc Am 73:708–714
Su N-Y (1996) Urban entomology: Termites and termite control. In: Rosen D, Bennett FD, Capinera JL (eds) Pest Management in the Subtropics: IntegratedPest Management—A Florida Perspective. Intercept, Andover, UK, pp 451–464
Su N-Y, Scheffrahn RH (1986) A method to access, trap, and monitor field populations of the Formosan subterranean termite (Isoptera: rhinotermitidae) in the urban environment. Sociobiology 12:299–304
Su N-Y, Tamashiro M, Yates JR, Havety MI (1984) Foraging behavior of the Formosan subterranean termite (Isoptera: rhinotermitidae). Environ Entomol 13:1466–1470
Su N-Y, Stith BM, Puche H, Bardunias P (2004) Characterization of tunneling geometry of subterranean termites (Isoptera: rhinotermitidae) by computer simulation. Sociobiology 44:471–483
Acknowledgments
This research was supported by a grant from National Institute for Mathematical Sciences, Republic of Korea.
Author information
Authors and Affiliations
Corresponding author
Appendices
Appendix 1
To mathematically derive the γ function, we selected a rational function as the best fitting function for the simulation data, because the model is known for describing complicated structures having nonlinearities (Blondel and Gevers 1993; Bultheel et al. 1999). The function has a simple form for the numerator and denominator with respect to N 1 , N 2 , and p block, as written below.
Equation (19) is a generalized form of the equation used for single-species termite’s territory competition. See Appendix 2 of the previous study (Jeon and Lee 2011).
When p block is zero, γ should become zero regardless of N 1 and N 2 because there is no interference among the territories. Hence, a 3 , a 4 , and a 6 should be zero. We then obtain the following relation:
To determine the values of the coefficients, we considered the following extreme conditions: N 1 or N 2 tends to infinity or zero. When N 1 tends to infinity for fixed N 2 while P is not zero, no territory can grow because of the extremely high density of the territories in the finite space; thus, γ should become 1. This condition can be written as follows:
To satisfy the conditions irrespective of the non-zero p block, a 1 should be equal to b 1 , and b 3 should be equal to zero. Similarly, when N 2 tends to infinity for fixed N 1 while p block is not zero, γ should become 1. This condition can be written as follows:
To satisfy the conditions, a 2 should be equal to b 2 , and b 4 should be equal to zero.
In addition, when both N 1 and N 2 approach zero, γ should become 0, because there is no interference between territories, as written in Eq. (23).
From Eq. (23), a5 should be equal to 0. Then, we obtain Eq. (24) from Eq. (20).
Finally, (i) by using the definitions of N 1 = αN and N 2 = (1−α) N and (ii) by dividing both the numerator and denominator by the [·]-bracket term, the interference formula for dual-species termite’s territory competition is derived in the generalized form of Eq. (25):
where f(α) and g(α) will be numerically obtained from the simulations for various α.
Appendix 2
Pseudo-code for termite territory simulation model
Rights and permissions
About this article
Cite this article
Jeon, W., Lee, SH. A mathematical model for the territorial competition of the subterranean termites Coptotermes formosanus and Reticulitermes flavipes (Isoptera: Rhinotermitidae). Appl Entomol Zool 49, 579–590 (2014). https://doi.org/10.1007/s13355-014-0291-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13355-014-0291-x