Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/26859
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPaine, C E Timothyen_UK
dc.contributor.authorDeasey, Annaen_UK
dc.contributor.authorDuthie, A Bradleyen_UK
dc.date.accessioned2018-03-26T22:21:56Z-
dc.date.available2018-03-26T22:21:56Z-
dc.date.issued2018-07-31en_UK
dc.identifier.urihttp://hdl.handle.net/1893/26859-
dc.description.abstract”What controls the distribution and abundance of organisms”? This question, at the heart of the dynamics of ecological communities, would have been familiar to the earliest ecologists. Having lain effectively abandoned for many years, community dynamics today is a vibrant research topic of great conceptual interest with practical import for conservation, ecological management, ecosystem services and the responses of ecological communities to climate change.  We describe how modern coexistence theory can be applied to predict community dynamics through the use of demography. We explore the challenges that limit the deployment of this demographic framework, and the tools from phylogenetic and functional ecology that have been used to surmount them.  Finding existing tools not altogether sufficient, we propose the use of ‘hard’ functional traits and physiological tolerances of environmental conditions and low resource availability to extend the demographic framework so that the dynamics of a broader range of ecological communities can be accurately predicted.  We illustrate these new approaches with two case studies. Given the urgent need to accurately forecast the dynamics of ecological communities, we hope that many ecologists will adopt these tools.en_UK
dc.language.isoenen_UK
dc.publisherWiley-Blackwellen_UK
dc.relationPaine CET, Deasey A & Duthie AB (2018) Towards the general mechanistic prediction of community dynamics. Functional Ecology, 32 (7), pp. 1681-1692. https://doi.org/10.1111/1365-2435.13096en_UK
dc.rightsThis item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. This is the peer reviewed version of the following article: Paine CET, Deasey A, Duthie AB. Towards the general mechanistic prediction of community dynamics. Funct Ecol. 2018;32:1681–1692, which has been published in final form at https://doi.org/10.1111/1365-2435.13096. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.en_UK
dc.subjectCompetitionen_UK
dc.subjectcontext dependenceen_UK
dc.subjectdemographyen_UK
dc.subjectecological forecastingen_UK
dc.subjectrelative abundanceen_UK
dc.subjectspecies compositionen_UK
dc.subjectinterspecific interactionsen_UK
dc.titleTowards the general mechanistic prediction of community dynamicsen_UK
dc.typeJournal Articleen_UK
dc.rights.embargoreason[Figure 3 2018 01 14.pdf] Publisher requires embargo of 12 months after formal publication.en_UK
dc.rights.embargoreason[Fig 2.pdf] Publisher requires embargo of 12 months after formal publication.en_UK
dc.rights.embargoreason[Figure 1 Historical background.pdf] Publisher requires embargo of 12 months after formal publication.en_UK
dc.rights.embargoreason[Predicting community dynamics ms 2018 03 05.pdf] Publisher requires embargo of 12 months after formal publication.en_UK
dc.identifier.doi10.1111/1365-2435.13096en_UK
dc.citation.jtitleFunctional Ecologyen_UK
dc.citation.issn1365-2435en_UK
dc.citation.issn0269-8463en_UK
dc.citation.volume32en_UK
dc.citation.issue7en_UK
dc.citation.spage1681en_UK
dc.citation.epage1692en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.contributor.funderLeverhulme Trusten_UK
dc.author.emailalexander.duthie@stir.ac.uken_UK
dc.citation.date15/03/2018en_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.identifier.isiWOS:000437281100004en_UK
dc.identifier.scopusid2-s2.0-85044866046en_UK
dc.identifier.wtid878902en_UK
dc.contributor.orcid0000-0001-8705-3719en_UK
dc.contributor.orcid0000-0002-1525-3233en_UK
dc.contributor.orcid0000-0001-8343-4995en_UK
dc.date.accepted2018-03-09en_UK
dcterms.dateAccepted2018-03-09en_UK
dc.date.filedepositdate2018-03-26en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionAMen_UK
local.rioxx.authorPaine, C E Timothy|0000-0001-8705-3719en_UK
local.rioxx.authorDeasey, Anna|0000-0002-1525-3233en_UK
local.rioxx.authorDuthie, A Bradley|0000-0001-8343-4995en_UK
local.rioxx.projectProject ID unknown|Leverhulme Trust|en_UK
local.rioxx.freetoreaddate2019-03-16en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||2019-03-15en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/all-rights-reserved|2019-03-16|en_UK
local.rioxx.filenamePredicting community dynamics ms 2018 03 05.pdfen_UK
local.rioxx.filecount4en_UK
local.rioxx.source0269-8463en_UK
Appears in Collections:Biological and Environmental Sciences Journal Articles

Files in This Item:
File Description SizeFormat 
Figure 3 2018 01 14.pdfFulltext - Accepted Version200.28 kBAdobe PDFView/Open
Fig 2.pdfFulltext - Accepted Version150.43 kBAdobe PDFView/Open
Figure 1 Historical background.pdfFulltext - Accepted Version59.97 kBAdobe PDFView/Open
Predicting community dynamics ms 2018 03 05.pdfFulltext - Accepted Version573.23 kBAdobe PDFView/Open


This item is protected by original copyright



Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.