Construction of a trophically complex near-shore Antarctic food web model using the Conservative Normal framework with structural coexistence
The analysis of trophically complex mathematical ecosystem models is typically carried out using numerical techniques because it is considered that the number and nonlinear nature of the equations involved makes progress using analytic techniques virtually impossible. Exploiting the properties of sy...
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ftgriffithuniv:oai:research-repository.griffith.edu.au:10072/69170 2024-09-09T19:10:09+00:00 Construction of a trophically complex near-shore Antarctic food web model using the Conservative Normal framework with structural coexistence Bates, Michael L Nash, Susan M Bengtson Hawker, Darryl W Norbury, John Stark, Jonny S Cropp, Roger A 2015 http://hdl.handle.net/10072/69170 https://doi.org/10.1016/j.jmarsys.2014.12.002 English eng eng Elsevier Journal of Marine Systems http://hdl.handle.net/10072/69170 0924-7963 doi:10.1016/j.jmarsys.2014.12.002 Oceanography Other environmental sciences not elsewhere classified Journal article 2015 ftgriffithuniv https://doi.org/10.1016/j.jmarsys.2014.12.002 2024-06-19T00:01:34Z The analysis of trophically complex mathematical ecosystem models is typically carried out using numerical techniques because it is considered that the number and nonlinear nature of the equations involved makes progress using analytic techniques virtually impossible. Exploiting the properties of systems that are written in Kolmogorov form, the conservative normal (CN) framework articulates a number of ecological axioms that govern ecosystems. Previous work has shown that trophically simple models developed within the CN framework are mathematically tractable, simplifying analysis. By exploiting the properties of Kolmogorov ecological systems it is possible to design particular properties, such as the property that all populations remain extant, into an ecological model. Here we demonstrate the usefulness of these results to construct a trophically complex ecosystem model. We also show that the properties of Kolmogorov ecological systems can be exploited to provide a computationally efficient method for the refinement of model parameters which can be used to precondition parameter values used in standard optimisation techniques, such as genetic algorithms, to significantly improve convergence towards a target equilibrium state. Griffith Sciences, Griffith School of Environment No Full Text Article in Journal/Newspaper Antarc* Antarctic Griffith University: Griffith Research Online Antarctic Griffith ENVELOPE(-155.500,-155.500,-85.883,-85.883) Journal of Marine Systems 145 1 14 |
institution |
Open Polar |
collection |
Griffith University: Griffith Research Online |
op_collection_id |
ftgriffithuniv |
language |
English |
topic |
Oceanography Other environmental sciences not elsewhere classified |
spellingShingle |
Oceanography Other environmental sciences not elsewhere classified Bates, Michael L Nash, Susan M Bengtson Hawker, Darryl W Norbury, John Stark, Jonny S Cropp, Roger A Construction of a trophically complex near-shore Antarctic food web model using the Conservative Normal framework with structural coexistence |
topic_facet |
Oceanography Other environmental sciences not elsewhere classified |
description |
The analysis of trophically complex mathematical ecosystem models is typically carried out using numerical techniques because it is considered that the number and nonlinear nature of the equations involved makes progress using analytic techniques virtually impossible. Exploiting the properties of systems that are written in Kolmogorov form, the conservative normal (CN) framework articulates a number of ecological axioms that govern ecosystems. Previous work has shown that trophically simple models developed within the CN framework are mathematically tractable, simplifying analysis. By exploiting the properties of Kolmogorov ecological systems it is possible to design particular properties, such as the property that all populations remain extant, into an ecological model. Here we demonstrate the usefulness of these results to construct a trophically complex ecosystem model. We also show that the properties of Kolmogorov ecological systems can be exploited to provide a computationally efficient method for the refinement of model parameters which can be used to precondition parameter values used in standard optimisation techniques, such as genetic algorithms, to significantly improve convergence towards a target equilibrium state. Griffith Sciences, Griffith School of Environment No Full Text |
format |
Article in Journal/Newspaper |
author |
Bates, Michael L Nash, Susan M Bengtson Hawker, Darryl W Norbury, John Stark, Jonny S Cropp, Roger A |
author_facet |
Bates, Michael L Nash, Susan M Bengtson Hawker, Darryl W Norbury, John Stark, Jonny S Cropp, Roger A |
author_sort |
Bates, Michael L |
title |
Construction of a trophically complex near-shore Antarctic food web model using the Conservative Normal framework with structural coexistence |
title_short |
Construction of a trophically complex near-shore Antarctic food web model using the Conservative Normal framework with structural coexistence |
title_full |
Construction of a trophically complex near-shore Antarctic food web model using the Conservative Normal framework with structural coexistence |
title_fullStr |
Construction of a trophically complex near-shore Antarctic food web model using the Conservative Normal framework with structural coexistence |
title_full_unstemmed |
Construction of a trophically complex near-shore Antarctic food web model using the Conservative Normal framework with structural coexistence |
title_sort |
construction of a trophically complex near-shore antarctic food web model using the conservative normal framework with structural coexistence |
publisher |
Elsevier |
publishDate |
2015 |
url |
http://hdl.handle.net/10072/69170 https://doi.org/10.1016/j.jmarsys.2014.12.002 |
long_lat |
ENVELOPE(-155.500,-155.500,-85.883,-85.883) |
geographic |
Antarctic Griffith |
geographic_facet |
Antarctic Griffith |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_relation |
Journal of Marine Systems http://hdl.handle.net/10072/69170 0924-7963 doi:10.1016/j.jmarsys.2014.12.002 |
op_doi |
https://doi.org/10.1016/j.jmarsys.2014.12.002 |
container_title |
Journal of Marine Systems |
container_volume |
145 |
container_start_page |
1 |
op_container_end_page |
14 |
_version_ |
1809824699082866688 |