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APPLICATION OF AN ECOLOGICAL FRAMEWORK LINKING SCALES BASED ON SELF-THINNING

Barnes, Susan; Bi, Huiquan; Roderick, Michael

Description

Barnes and Roderick developed a generic, theoretical framework for vegetation modeling across scales. Inclusion of a self-thinning mechanism connects the individual to the larger-scale population and, being based on the conservation of mass, all mass flux processes are integral to the formulation. Significantly, disturbance (both regular and stochastic) and its impact at larger scales are included in the formulation. The purpose of this paper is to illustrate how this model can be used to...[Show more]

dc.contributor.authorBarnes, Susan
dc.contributor.authorBi, Huiquan
dc.contributor.authorRoderick, Michael
dc.date.accessioned2015-12-13T23:04:21Z
dc.date.available2015-12-13T23:04:21Z
dc.identifier.issn1051-0761
dc.identifier.urihttp://hdl.handle.net/1885/85336
dc.description.abstractBarnes and Roderick developed a generic, theoretical framework for vegetation modeling across scales. Inclusion of a self-thinning mechanism connects the individual to the larger-scale population and, being based on the conservation of mass, all mass flux processes are integral to the formulation. Significantly, disturbance (both regular and stochastic) and its impact at larger scales are included in the formulation. The purpose of this paper is to illustrate how this model can be used to predict patch and ecosystem dry mass, and consequently system carbon. Examples from pine plantations and mixed forests are considered, with these applications requiring estimates of system carrying capacity and the growth rates of individual plants. The results indicate that the model is relatively simple and straightforward to apply, and its predictions compare well with the data. A significant feature of this approach is that the impact of local scale data on the dynamics of larger patch and ecosystem scales can be determined explicitly, as we show by example. Further, the general formulation has an analytic solution based on characteristics of the individual, facilitating practical and predictive application.
dc.publisherEcological Society of America
dc.sourceEcological Applications
dc.subjectKeywords: carbon cycle; population dynamics; self thinning; adaptation; algorithm; article; artificial neural network; biological model; computer simulation; ecology; ecosystem; growth, development and aging; plant; plant physiology; population dynamics; standard; Allometrics; Carbon accounting; Dynamical modeling; Patch dynamics; Population dynamics; Scaling; Self-thinning
dc.titleAPPLICATION OF AN ECOLOGICAL FRAMEWORK LINKING SCALES BASED ON SELF-THINNING
dc.typeJournal article
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.citationvolume16
dc.date.issued2006
local.identifier.absfor060311 - Speciation and Extinction
local.identifier.ariespublicationMigratedxPub13683
local.type.statusPublished Version
local.contributor.affiliationBarnes, Susan, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationBi, Huiquan, State Forests of New South Wales
local.contributor.affiliationRoderick, Michael, College of Medicine, Biology and Environment, ANU
local.bibliographicCitation.issue1
local.bibliographicCitation.startpage133
local.bibliographicCitation.lastpage142
local.identifier.doi10.1353/jowh.2006.0005
dc.date.updated2015-12-12T07:55:32Z
local.identifier.scopusID2-s2.0-33645109340
CollectionsANU Research Publications

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