File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Parameterization and prediction of community interaction models using stable-state assumptions and computational techniques: An example from the high rocky intertidal

TitleParameterization and prediction of community interaction models using stable-state assumptions and computational techniques: An example from the high rocky intertidal
Authors
Issue Date2008
PublisherMarine Biological Laboratory. The Journal's web site is located at http://www.biolbull.org
Citation
Biological Bulletin, 2008, v. 215 n. 2, p. 155-163 How to Cite?
AbstractMany ecological communities exist in a stable state where, if undisturbed, no net change will occur in the populations or in the interactions between the component parts of the system. In this paper we present computational methods (evolutionary algorithms and random searches) to parameterize mathematical models that describe communities in stable states. The initial parameterization of the model requires only "best guess" estimates for parameters and can therefore be used in data-poor situations. The technique locates the stable state that occurs with minimum deviation from these parameters. Alternative stable states in which the community may exist after a disturbance event can also be assessed using this technique, even though the number of alternative states may be large. Using available but incomplete data from an intertidal grazer/biofilm community, we created a prediction of the dynamics of both a pre- and post-disturbance community. Using limited data, we then predicted the most likely post-disturbance community, which proved to be a good match to experimental data, indicating the usefulness of this technique as a predictive tool. © 2008 Marine Biological Laboratory.
Persistent Identifierhttp://hdl.handle.net/10722/89333
ISSN
2015 Impact Factor: 1.522
2015 SCImago Journal Rankings: 0.931
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorStafford, Ren_HK
dc.contributor.authorDavies, MSen_HK
dc.contributor.authorWilliams, GAen_HK
dc.date.accessioned2010-09-06T09:55:32Z-
dc.date.available2010-09-06T09:55:32Z-
dc.date.issued2008en_HK
dc.identifier.citationBiological Bulletin, 2008, v. 215 n. 2, p. 155-163en_HK
dc.identifier.issn0006-3185en_HK
dc.identifier.urihttp://hdl.handle.net/10722/89333-
dc.description.abstractMany ecological communities exist in a stable state where, if undisturbed, no net change will occur in the populations or in the interactions between the component parts of the system. In this paper we present computational methods (evolutionary algorithms and random searches) to parameterize mathematical models that describe communities in stable states. The initial parameterization of the model requires only "best guess" estimates for parameters and can therefore be used in data-poor situations. The technique locates the stable state that occurs with minimum deviation from these parameters. Alternative stable states in which the community may exist after a disturbance event can also be assessed using this technique, even though the number of alternative states may be large. Using available but incomplete data from an intertidal grazer/biofilm community, we created a prediction of the dynamics of both a pre- and post-disturbance community. Using limited data, we then predicted the most likely post-disturbance community, which proved to be a good match to experimental data, indicating the usefulness of this technique as a predictive tool. © 2008 Marine Biological Laboratory.en_HK
dc.languageengen_HK
dc.publisherMarine Biological Laboratory. The Journal's web site is located at http://www.biolbull.orgen_HK
dc.relation.ispartofBiological Bulletinen_HK
dc.subject.meshEcosystem-
dc.subject.meshFeeding Behavior-
dc.subject.meshGastropoda-
dc.subject.meshModels, Biological-
dc.subject.meshAlgorithms-
dc.titleParameterization and prediction of community interaction models using stable-state assumptions and computational techniques: An example from the high rocky intertidalen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0006-3185&volume=215&issue=2&spage=155&epage=163&date=2008&atitle=Parametrization+and+prediction+of+community+interaction+models+using+stable-state+assumptions+and+computational+techniques:+an+example+from+the+high+rocky+intertidalen_HK
dc.identifier.emailWilliams, GA: hrsbwga@hkucc.hku.hken_HK
dc.identifier.authorityWilliams, GA=rp00804en_HK
dc.description.naturelink_to_OA_fulltext-
dc.identifier.pmid18840776-
dc.identifier.scopuseid_2-s2.0-54349108849en_HK
dc.identifier.hkuros168394en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-54349108849&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume215en_HK
dc.identifier.issue2en_HK
dc.identifier.spage155en_HK
dc.identifier.epage163en_HK
dc.identifier.isiWOS:000260049800005-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridStafford, R=14007374300en_HK
dc.identifier.scopusauthoridDavies, MS=35121268800en_HK
dc.identifier.scopusauthoridWilliams, GA=7406082821en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats