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USING SPATIO-TEMPORAL CHAOS AND INTERMEDIATE-SCALE DETERMINISM TO QUANTIFY SPATIALLY EXTENDED ECOSYSTEMS

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UNSPECIFIED (1995) USING SPATIO-TEMPORAL CHAOS AND INTERMEDIATE-SCALE DETERMINISM TO QUANTIFY SPATIALLY EXTENDED ECOSYSTEMS. PROCEEDINGS OF THE ROYAL SOCIETY OF LONDON SERIES B-BIOLOGICAL SCIENCES, 259 (1355). pp. 111-117. ISSN 0962-8452

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Abstract

We discuss the question of how to quantify and analyse dynamics and patterns in spatially extended ecologies and introduce several new tools and ideas which use space-time dynamical structure. To illustrate our ideas, we introduce an artificial ecology model of a resource-predator-prey community which is interesting in its own right both ecologically and mathematically. This is a generalized probabilistic cellular automata. The model is stochastic and spatially non-homogeneous, We show hers to identify a spatial scale intermediate between the noise dominated microscale and the infinite size limit at which non-trivial determinism is maximized. This is the scale at which to measure the system's dynamics. At this stale the population dynamics are essentially deterministic, low-dimensional and chaotic. This allows us to characterize the complex spatial patterns by a low-dimensional vector. This mapping from spatial patterns to low dimensional vectors provides effective and faithful data compression and is a powerful technique for synthesizing ecological information. It facilitates new analytical techniques. As an application we consider how to distinguish structural change within an ecosystem from natural dynamics. Such change is detected by using our parameterization to construct recurrence plots. Other applications such as the reconstruction of the dynamics of invisible species are discussed elsewhere.

Item Type: Journal Article
Subjects: Q Science > QH Natural history > QH301 Biology
Journal or Publication Title: PROCEEDINGS OF THE ROYAL SOCIETY OF LONDON SERIES B-BIOLOGICAL SCIENCES
Publisher: ROYAL SOC LONDON
ISSN: 0962-8452
Date: 22 February 1995
Volume: 259
Number: 1355
Number of Pages: 7
Page Range: pp. 111-117
Publication Status: Published
URI: http://wrap.warwick.ac.uk/id/eprint/19965

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