Abstract
Population fluctuations in a predator-prey system are analyzed for the case where the number of prey could be determined, subject to measurement noise, but the number of predators was unknown. The problem of how to infer the unmeasured predator dynamics, as well as the model parameters, is addressed. Two solutions are suggested. In the first of these, measurement noise and the dynamical noise in the equation for predator population are neglected; the problem is reduced to a one-dimensional case, and a Bayesian dynamical inference algorithm is employed to reconstruct the model parameters. In the second solution a full-scale Markov Chain Monte Carlo simulation is used to infer both the unknown predator trajectory, and also the model parameters, using the one-dimensional solution as an initial guess.
Similar content being viewed by others
References
N.C. Stenseth, Science 269, 1061 (1995)
J.L. Aron, I.B. Schwartz, J. Theor. Biol. 110, 665 (1984)
P. Turchin, I. Hanski, American Naturalist 149, 842 (1997)
E.L. Ionides, C. Breto, A.A. King, Proc. Nat. Acad. Sci. 103, 18438 (2006)
S. Cauchemez, N.M. Ferguson, J. R. Soc. Interface 5, 885 (2008), 10.1098/rsif.2007.1292
I. Hanski, H. Henttonen, E. Korpimaäki, L. Oksanen, P. Turchin, Ecology 82, 1505 (2001)
P. Turchin, S.P. Ellner, Ecology 81(11), 3099 (2000)
NERC Centre for Population Biology, Imperial College (1999), The Global Population Dynamics Database, http://www.sw.ic.ac.uk/cpb/cpb/gpdd.htm
K. Visscher, M.J. Schnitzer, S.M. Block, Nature 400, 184 (1999)
J. Christensen-Dalsgaard, Rev. Mod. Phys. 74, 1073 (2002)
R. Meyer, N. Christensen, Phys. Rev. E 62, 3535 (2000)
C. Calder, M. Lavine, P. Müller, J.S. Clark, Ecology 84, 1395 (2003)
V.N. Smelyanskiy, D.G. Luchinsky, A. Stefanovska, P.V.E. McClintock, Phys. Rev. Lett. 94, 098101 (4) (2005)
V.N. Smelyanskiy, D.G. Luchinsky, D.A. Timucin, A. Bandrivskyy, Phys. Rev. E 72, 026202 (12) (2005)
D.G. Luchinsky, V.N. Smelyanskiy, M. Millonas, P.V.E. McClintock, in Noise in Complex Systems and Stochastic Dynamics III, edited by L.B. Kish, K. Lindenberg, Z. Gingl (2005), Vol. 5845 of Proc. of SPIE, Conf. on Noise in Complex Systems and Stochastic Dynamics III May 24–26, 2005, Austin, TX. SPIE, Bellingham, (2005), pp. 173–181
O. Gilg, I. Hanski, B. Sittler, Science 302, 866 (2003)
K. Laine, H. Henttonen, Oikos 40 (3), 407 (1983)
H.U. Voss, J. Timmer, J. Kurths, Int. J. Bifurc. and Chaos 14, 1905 (2004)
C.W. Tidd, L.F. Olsen, W.M. Schaffer, Proc. R. Soc. London B 254 (1341), 257 (1993)
R. Meyer, N. Christensen, Phys. Rev. E 65, 016206 (2001)
D.G. Luchinsky, V.N. Smelyanskiy, J. Smith, in Unsolved Problems of Noise and Fluctuations, edited by L. Reggiani, C. Pennetta, V. Akimov, E. Alfinito, M. Rosini (2005), Vol. 800 of AIP Conference Proceedings, pp. 539–545, 4th International Conference on Unsolved Problems of Noise and Fluctuations in Physics, Biology and High Technology June 06-10, 2005 Gallipoli, ITALY
R. Graham, Tracts in Modern Physics (Springer-Verlag, New York, 1973), Vol. 66, chap. Quantum Statistics in Optics and Solid-State Physics
E. Gozzi, Phys. rev. D 28 (8), 1922 (1983)
W.R. Gilks, S. Richardson, D.J. Spiegelhalter, Markov Chain Monte Carlo in Practice (Chapman and Hall, New York, 1996)
W.K. Hastings, Biometrika 57, 97 (1970)
V.V. Osipov, D.G. Luchinsky, V.N. Smelyanskiy, D.A. Timucin, AIAA 2007-5823 (2007), 43rd AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit, 8–11 July 2007, Cincinnati, OH
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Luchinsky, D.G., Smelyanskiy, V.N., Millonas, M. et al. Dynamical inference of hidden biological populations. Eur. Phys. J. B 65, 369–377 (2008). https://doi.org/10.1140/epjb/e2008-00340-5
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1140/epjb/e2008-00340-5