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Self-organized dynamics in spatially structured populations

Kaitala, Veijo ; Ranta, Esa and Lundberg, Per LU (2001) In Royal Society of London. Proceedings B. Biological Sciences 268(1477). p.1655-1660
Abstract
Self-organization and pattern formation represent the emergence of order in temporal and spatial processes. Self-organization in population ecology is gaining attention due to the recent advances concerning temporal fluctuations in the population size of dispersal-linked subunits. We shall report that spatially structured models of population renewal promote the emergence of a complex power law order in spatial population dynamics. We analyse a variety of population models showing that self-organization can be identified as a temporal match in population dynamics among local units, and how the synchrony changes in time. Our theoretical results are concordant with analyses of population data on the Canada lynx.
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Royal Society of London. Proceedings B. Biological Sciences
volume
268
issue
1477
pages
1655 - 1660
publisher
Royal Society Publishing
external identifiers
  • wos:000170645500002
  • scopus:0035934190
ISSN
1471-2954
DOI
10.1098/rspb.2001.1721
language
English
LU publication?
yes
id
3b82bbf3-7ba4-42db-bc1f-c0a6ddb44192 (old id 131519)
date added to LUP
2016-04-01 15:28:03
date last changed
2022-04-22 07:52:57
@article{3b82bbf3-7ba4-42db-bc1f-c0a6ddb44192,
  abstract     = {{Self-organization and pattern formation represent the emergence of order in temporal and spatial processes. Self-organization in population ecology is gaining attention due to the recent advances concerning temporal fluctuations in the population size of dispersal-linked subunits. We shall report that spatially structured models of population renewal promote the emergence of a complex power law order in spatial population dynamics. We analyse a variety of population models showing that self-organization can be identified as a temporal match in population dynamics among local units, and how the synchrony changes in time. Our theoretical results are concordant with analyses of population data on the Canada lynx.}},
  author       = {{Kaitala, Veijo and Ranta, Esa and Lundberg, Per}},
  issn         = {{1471-2954}},
  language     = {{eng}},
  number       = {{1477}},
  pages        = {{1655--1660}},
  publisher    = {{Royal Society Publishing}},
  series       = {{Royal Society of London. Proceedings B. Biological Sciences}},
  title        = {{Self-organized dynamics in spatially structured populations}},
  url          = {{https://lup.lub.lu.se/search/files/4398925/624221.pdf}},
  doi          = {{10.1098/rspb.2001.1721}},
  volume       = {{268}},
  year         = {{2001}},
}