Evolutionary fields can explain patterns of high-dimensional complexity in ecology

Simple item page
dc.contributor.authorWilsenach, Jamesen_ZA
dc.contributor.authorLandi, Pietroen_ZA
dc.contributor.authorHui, Cangen_ZA
dc.date.accessioned2019-02-21T14:17:35Z
dc.date.available2019-02-21T14:17:35Z
dc.date.issued2017
dc.descriptionCITATION: Wilsenach, J., Landi, P. & Hui, C. 2017. Evolutionary fields can explain patterns of high-dimensional complexity in ecology. Physical Review E, 95(4):042401, doi:10.1103/PhysRevE.95.042401.en_ZA
dc.descriptionThe original publication is available at https://journals.aps.org/preen_ZA
dc.description.abstractOne of the properties that make ecological systems so unique is the range of complex behavioral patterns that can be exhibited by even the simplest communities with only a few species. Much of this complexity is commonly attributed to stochastic factors that have very high-degrees of freedom. Orthodox study of the evolution of these simple networks has generally been limited in its ability to explain complexity, since it restricts evolutionary adaptation to an inertia-free process with few degrees of freedom in which only gradual, moderately complex behaviors are possible. We propose a model inspired by particle-mediated field phenomena in classical physics in combination with fundamental concepts in adaptation, which suggests that small but high-dimensional chaotic dynamics near to the adaptive trait optimum could help explain complex properties shared by most ecological datasets, such as aperiodicity and pink, fractal noise spectra. By examining a simple predator-prey model and appealing to real ecological data, we show that this type of complexity could be easily confused for or confounded by stochasticity, especially when spurred on or amplified by stochastic factors that share variational and spectral properties with the underlying dynamics.en_ZA
dc.description.urihttps://journals.aps.org/pre/abstract/10.1103/PhysRevE.95.042401
dc.description.versionPublisher's versionen_ZA
dc.format.extent8 pages : illustrations (some colour)en_ZA
dc.identifier.citationWilsenach, J., Landi, P. & Hui, C. 2017. Evolutionary fields can explain patterns of high-dimensional complexity in ecology. Physical Review E, 95(4):042401, doi:10.1103/PhysRevE.95.042401en_ZA
dc.identifier.issn2470-0053 (online)
dc.identifier.issn2470-0045 (print)
dc.identifier.otherdoi:10.1103/PhysRevE.95.042401
dc.identifier.urihttp://hdl.handle.net/10019.1/105457
dc.language.isoen_ZAen_ZA
dc.publisherAmerican Physical Societyen_ZA
dc.rights.holderAmerican Physical Societyen_ZA
dc.subjectEcology -- Mathematical modelsen_ZA
dc.subjectPredator-prey systemsen_ZA
dc.subjectPreditor-prey behavioren_ZA
dc.titleEvolutionary fields can explain patterns of high-dimensional complexity in ecologyen_ZA
dc.typeArticleen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
wilsenach_evolutionary-2017.pdf
Size:
2.06 MB
Format:
Adobe Portable Document Format
Description:
Download article
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Research Articles (Mathematical Sciences)