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Comment on "From Plant Traits to Plant Communities: A Statistical Mechanistic Approach to Biodiversity"

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dc.contributor.authorRoxburgh, Stephen H.
dc.contributor.authorMokany, Karel
dc.date.accessioned2015-12-08T22:14:32Z
dc.date.issued2007
dc.date.updated2015-12-08T07:52:21Z
dc.description.abstractShipley et al. (Reports, 3 November 2006, p. 812) predicted plant community composition and relative abundances with a high level of accuracy by maximizing Shannon's index of information entropy (species diversity), subject to constraints on plant trait averages. We show that the entropy maximization assumption is relatively unimportant and that the high accuracy is due largely to a statistical effect.
dc.identifier.issn0036-8075
dc.identifier.urihttp://hdl.handle.net/1885/30302
dc.publisherAmerican Association for the Advancement of Science
dc.sourceScience
dc.subjectKeywords: biodiversity; biological model; ecology; methodology; note; plant; plant physiology; population density; statistical model; Biodiversity; Ecology; Models, Biological; Models, Statistical; Plant Physiology; Plants; Population Density
dc.titleComment on "From Plant Traits to Plant Communities: A Statistical Mechanistic Approach to Biodiversity"
dc.typeJournal article
local.bibliographicCitation.lastpage1426b
local.bibliographicCitation.startpage1425b
local.contributor.affiliationRoxburgh, Stephen H., University of New South Wales
local.contributor.affiliationMokany, Karel, College of Medicine, Biology and Environment, ANU
local.contributor.authoruidMokany, Karel, u4081550
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor060208 - Terrestrial Ecology
local.identifier.ariespublicationu9511635xPUB72
local.identifier.citationvolume316
local.identifier.scopusID2-s2.0-34250665752
local.type.statusPublished Version

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