Spatio-temporal pattern formation, fractals, and chaos in conceptual ecological models as applied to coupled plankton-fish dynamics
Spatio-temporal pattern formation, fractals, and chaos in conceptual ecological models as applied to coupled plankton-fish dynamics
The current turn-of-the-century period witnesses the intensive use of the bioproducts of the World Ocean while at the same time calling for precautions to preserve its ecological stability. This requires that biophysical processes in aquatic systems be comprehensively explored and new methods for monitoring their dynamics be developed. While aquatic and terrestrial ecosystems have much in common in terms of their mathematical description, there are essential differences between them. For example, the mobility of oceanic plankton is mainly controlled by diffusion processes, whereas terrestrial organisms naturally enough obey totally different laws. This paper is focused on the processes underlying the dynamics of spatially inhomogeneous plankton communities. We demonstrate that conceptual reaction-diffusion mathematical models are an appropriate tool for investigating both complex spatiotemporal plankton dynamics and the fractal properties of planktivorous fish school walks.
27-57
Medvinskiǐ, A.B.
9dcd266c-5d35-4c74-84f9-d2212a96b4f4
Petrovskiǐ, S.V.
50ce389b-a14b-478b-a186-945744ebebd1
Tikhonova, I.A.
577ccbcc-6643-4190-bb6d-19e13b44bcd1
Tikhonov, D.A.
2722ad2a-8141-4db2-a4d5-931e52cbabea
Li, B.L.
ff6006d5-9415-4ddd-b641-005ab8fc18d9
Venturino, E.
c6c4cbc7-1f89-4766-b1bd-0f1d429bc906
Malchow, H.
b9eb0321-0f39-4b03-beb5-b6329237877c
Ivanitskiǐ, G.R.
54346da0-c61b-4fb7-97ea-a97206cfc5af
1 January 2002
Medvinskiǐ, A.B.
9dcd266c-5d35-4c74-84f9-d2212a96b4f4
Petrovskiǐ, S.V.
50ce389b-a14b-478b-a186-945744ebebd1
Tikhonova, I.A.
577ccbcc-6643-4190-bb6d-19e13b44bcd1
Tikhonov, D.A.
2722ad2a-8141-4db2-a4d5-931e52cbabea
Li, B.L.
ff6006d5-9415-4ddd-b641-005ab8fc18d9
Venturino, E.
c6c4cbc7-1f89-4766-b1bd-0f1d429bc906
Malchow, H.
b9eb0321-0f39-4b03-beb5-b6329237877c
Ivanitskiǐ, G.R.
54346da0-c61b-4fb7-97ea-a97206cfc5af
Medvinskiǐ, A.B., Petrovskiǐ, S.V., Tikhonova, I.A., Tikhonov, D.A., Li, B.L., Venturino, E., Malchow, H. and Ivanitskiǐ, G.R.
(2002)
Spatio-temporal pattern formation, fractals, and chaos in conceptual ecological models as applied to coupled plankton-fish dynamics.
Physics-Uspekhi, 45 (1), .
(doi:10.1070/PU2002v045n01ABEH000980).
Abstract
The current turn-of-the-century period witnesses the intensive use of the bioproducts of the World Ocean while at the same time calling for precautions to preserve its ecological stability. This requires that biophysical processes in aquatic systems be comprehensively explored and new methods for monitoring their dynamics be developed. While aquatic and terrestrial ecosystems have much in common in terms of their mathematical description, there are essential differences between them. For example, the mobility of oceanic plankton is mainly controlled by diffusion processes, whereas terrestrial organisms naturally enough obey totally different laws. This paper is focused on the processes underlying the dynamics of spatially inhomogeneous plankton communities. We demonstrate that conceptual reaction-diffusion mathematical models are an appropriate tool for investigating both complex spatiotemporal plankton dynamics and the fractal properties of planktivorous fish school walks.
This record has no associated files available for download.
More information
Published date: 1 January 2002
Identifiers
Local EPrints ID: 438222
URI: http://eprints.soton.ac.uk/id/eprint/438222
ISSN: 1063-7869
PURE UUID: 6c6a5051-06ac-4e30-8974-f3fd3338ba92
Catalogue record
Date deposited: 04 Mar 2020 17:31
Last modified: 05 Jun 2024 18:59
Export record
Altmetrics
Contributors
Author:
A.B. Medvinskiǐ
Author:
S.V. Petrovskiǐ
Author:
I.A. Tikhonova
Author:
D.A. Tikhonov
Author:
B.L. Li
Author:
E. Venturino
Author:
H. Malchow
Author:
G.R. Ivanitskiǐ
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics