Abstract
Animal movements and their underlying mechanisms are an extremely important research area in biology and have been extensively studied for centuries. However, spatial memory and cognition, which is the most significant difference between animal movements and chemical movements, has been ignored in the modeling of animal movements. To incorporate cognition and memory of “clever” animals in the simplest and self-contained way, we propose a delayed diffusion model via a modified Fick’s law, whereas in literature the standard diffusion for chemical movements was applied to describe “drunk” animal movements. Our mathematical model is expressed by a reaction–diffusion equation with an additional delayed diffusion term, which makes rigorous analysis intriguing and challenging. We show the wellposedness and analyze the asymptotic stability of steady state in the spatial memory model. It is shown that for the three possible reaction schemes, the stability of a spatially homogeneous steady state fully depends on the relationship between the two diffusion coefficients but is independent of the time delay. Finally, we numerically illustrate possible spatialtemporal patterns when the system is divergent.
Similar content being viewed by others
References
Ballerini, M., Cabibbo, N., Candelier, R., Cavagna, A., Cisbani, E., Giardina, I., Orlandi, A., Parisi, G., Procaccini, A., Viale, M., Zdravkovic, V.: Empirical investigation of starling flocks: a benchmark study in collective animal behaviour. Anim. Behav. 76(1), 201–215 (2008)
Bellomo, N., Bellouquid, A., Tao, Y., Winkler, M.: Toward a mathematical theory of Keller–Segel models of pattern formation in biological tissues. Math. Models Methods Appl. Sci. 25(9), 1663–1763 (2015)
Bonabeau, E., Dorigo, M., Theraulaz, G.: Inspiration for optimization from social insect behaviour. Nature 406(6791), 39 (2000)
Cantrell, R.S., Cosner, C.: Spatial Ecology via Reaction–Diffusion Equations. Wiley Series in Mathematical and Computational Biology. Wiley, Chichester (2003)
Cavalli-Sforza, L.L., Feldman, M.W., Chen, K.H., Dornbusch, S.M.: Theory and observation in cultural transmission. Science 218(4567), 19–27 (1982)
Clayton, N.S., Salwiczek, L.H., Dickinson, A.: Episodic memory. Curr. Biol. 17(6), R189–R191 (2007)
Crank, J.: The Mathematics of Diffusion. Oxford University Press, Oxford (1979)
Ei, S.-I., Izuhara, H., Mimura, M.: Spatio-temporal oscillations in the Keller–Segel system with logistic growth. Physica D 277, 1–21 (2014)
Fagan, W.F., Lewis, M.A., Auger-Méthé, M., Avgar, T., Benhamou, S., Breed, G., LaDage, L., Schlägel, U.E., Tang, W.W., Papastamatiou, Y.P., Forester, J., Mueller, T.: Spatial memory and animal movement. Ecol. Lett. 16(10), 1316–1329 (2013)
Golledge, R.G.: Wayfinding Behavior: Cognitive Mapping and Other Spatial Processes. Johns Hopkins University Press, Baltimore (1999)
Hale, J.: Theory of Functional Differential Equations. Applied Mathematical Sciences, vol. 3, 2nd edn. Springer, New York (1977)
Hale, J.K.: Coupled oscillators on a circle. Resenhas 1(4), 441–457 (1994)
Keller, E.F., Segel, L.A.: Initiation of slime mold aggregation viewed as an instability. J. Theoret. Biol. 26(3), 399–415 (1970)
Lunardi, A.: Analytic Semigroups and Optimal Regularity in Parabolic Problems, Volume 16 of Progress in Nonlinear Differential Equations and Their Applications. Birkhäuser Verlag, Basel (1995)
Murray, J.D.: Mathematical Biology II Volume 18 of Interdisciplinary Applied Mathematics. Spatial Models and Biomedical Applications, 3rd edn. Springer, New York (2003)
Okubo, A., Levin, S.A.: Diffusion and Ecological Problems: Modern Perspectives, Volume 14 of Interdisciplinary Applied Mathematics, 2nd edn. Springer, New York (2001)
Painter, K.J., Hillen, T.: Spatio-temporal chaos in a chemotaxis model. Physica D Nonlinear Phenom. 240(4), 363–375 (2011)
Shi, J.P.: Semilinear Neumann boundary value problems on a rectangle. Trans. Am. Math. Soc. 354(8), 3117–3154 (2002)
Shigesada, N., Kawasaki, K., Teramoto, E.: Spatial segregation of interacting species. J. Theoret. Biol. 79(1), 83–99 (1979)
Smith, H.: An Introduction to Delay Differential Equations with Applications to the Life Sciences, Volume 57 of Texts in Applied Mathematics. Springer, New York (2011)
Staffans, O.: A neutral FDE with stable D-operator is retarded. J. Differ. Equ. 49, 208–217 (1983)
Tello, J.I., Winkler, M.: A chemotaxis system with logistic source. Comm. Partial Differ. Equ. 32(4–6), 849–877 (2007)
Thorrold, S.R., Latkoczy, C., Swart, P.K., Jones, C.M.: Natal homing in a marine fish metapopulation. Science 291(5502), 297–299 (2001)
Wang, J.F., Shi, J.P., Wei, J.J.: Dynamics and pattern formation in a diffusive predator–prey system with strong Allee effect in prey. J. Differ. Equ. 251(4–5), 1276–1304 (2011)
Wehner, R., Michel, B., Antonsen, P.: Visual navigation in insects: coupling of egocentric and geocentric information. J. Exper. Biol. 199, 129–140 (1996)
Winkler, M.: Boundedness in the higher-dimensional parabolic–parabolic chemotaxis system with logistic source. Commun. Partial Differ. Equ. 35(8), 1516–1537 (2010)
Winkler, M.: Blow-up in a higher-dimensional chemotaxis system despite logistic growth restriction. J. Math. Anal. Appl. 384(2), 261–272 (2011)
Winkler, M.: Global asymptotic stability of constant equilibria in a fully parabolic chemotaxis system with strong logistic dampening. J. Differ. Equ. 257(4), 1056–1077 (2014)
Winkler, M.: How far can chemotactic cross-diffusion enforce exceeding carrying capacities? J. Nonlinear Sci. 24(5), 809–855 (2014)
Winkler, M.: Emergence of large population densities despite logistic growth restrictions in fully parabolic chemotaxis systems. Discrete Contin. Dyn. Syst. Ser. B 22(7), 2777–2793 (2017)
Wu, J.H.: Theory and Applications of Partial Functional–Differential Equations, Volume 119 of Applied Mathematical Sciences. Springer, New York (1996)
Acknowledgements
The authors thank the anonymous reviewer and the editor for helpful suggestions which improved the initial version of the manuscript. The first author’s research is partially supported by NSF Grants DMS-1313243 and DMS-1715651. The second author’s research is partially supported by Chinese NSF Grants 11671110 and 11201097. The third author’s research is partially supported by an NSERC grant. The fourth author’s research is partially supported by a Chinese NSF grant 61763024 and Foundation of a Hundred Youth Talents Training Program of Lanzhou Jiaotong University 152022.
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
Shi, J., Wang, C., Wang, H. et al. Diffusive Spatial Movement with Memory. J Dyn Diff Equat 32, 979–1002 (2020). https://doi.org/10.1007/s10884-019-09757-y
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10884-019-09757-y