Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/3295
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dc.contributor.authorTravis, Justin Men_UK
dc.contributor.authorHarris, Catrionaen_UK
dc.contributor.authorPark, Kirstyen_UK
dc.contributor.authorBullock, James Men_UK
dc.date.accessioned2013-06-08T21:47:15Z-
dc.date.available2013-06-08T21:47:15Zen_UK
dc.date.issued2011en_UK
dc.identifier.urihttp://hdl.handle.net/1893/3295-
dc.description.abstract1. Improving the understanding, prediction and management of range expansions is a key challenge for ecology. Over recent years, there has been a rapid increase in modelling effort focussed on range expansions and a shift from predominantly theoretical developments towards application. This is especially the case in the field of invasion biology and also in relation to reintroductions and species’ responses to climate change. 2. While earlier models were exclusively analytical, individual-based models (IBMs) are now increasingly widely used. We argue that instead of being viewed as competing methodologies, analytical and individual-based methods can valuably be used in conjunction. 3. We use a mechanistic wind dispersal model to generate age-specific dispersal kernels for the invasive shrub, Rhododendron ponticum. To demonstrate the utility of employing both modelling approaches, this information along with demographic parameters is incorporated into an IBMand an analytical, integrodifference model. From both models, the equilibrium rate of spread is calculated. 4. Estimates of wavespeeds were similar for the two models, although slower rates of spread were consistently projected by the IBM. Further, our results demonstrate the wavespeed to be sensitive to the characterisation of age structure in the model; when few age classes are used, much higher rates of spread are projected. 5. The analytical model is extremely efficient at providing elasticity analysis of the wavespeed, which can provide helpful information for management. We gain qualitatively similar results using the IBMbut obtaining the results is time-consuming and, because the model is stochastic, they are noisy and harder to interpret. We argue that analytically derived transient elasticity analyses are needed for the many cases where success of control is measured on a relatively short time horizon. 6. To demonstrate the flexibility of the IBMapproach, we run it on a real landscape comprising different habitat types. The comparison of two different control scenarios is an example of the utility of this approach for more tactical applications. 7. As a general conclusion of the study, we emphasise that analytical and individual-based approaches offer different, but complementary, advantages and suggest how their joint use can facilitate the improvement in biodiversity management at a range of spatial scales.en_UK
dc.language.isoenen_UK
dc.publisherWiley-Blackwellen_UK
dc.relationTravis JM, Harris C, Park K & Bullock JM (2011) Improving prediction and management of range expansions by combining analytical and individual-based modelling approaches. Methods in Ecology and Evolution, 2 (5), pp. 477-488. https://doi.org/10.1111/j.2041-210X.2011.00104.xen_UK
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. 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.en_UK
dc.rights.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserveden_UK
dc.subjectanalytical modelen_UK
dc.subjectclimate changeen_UK
dc.subjectdemographyen_UK
dc.subjectinvasionen_UK
dc.subjectpopulation spreaden_UK
dc.subjectreintroductionen_UK
dc.subjectstochastic modelen_UK
dc.subjectLinear models (Statistics) Data processingen_UK
dc.subjectEcologyen_UK
dc.titleImproving prediction and management of range expansions by combining analytical and individual-based modelling approachesen_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate3000-12-01en_UK
dc.rights.embargoreason[travis2011.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.identifier.doi10.1111/j.2041-210X.2011.00104.xen_UK
dc.citation.jtitleMethods in Ecology and Evolutionen_UK
dc.citation.issn2041-210Xen_UK
dc.citation.volume2en_UK
dc.citation.issue5en_UK
dc.citation.spage477en_UK
dc.citation.epage488en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emailk.j.park@stir.ac.uken_UK
dc.contributor.affiliationCentre for Ecology & Hydrology (CEH)en_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationCentre for Ecology & Hydrology (CEH)en_UK
dc.identifier.isiWOS:000297323700006en_UK
dc.identifier.scopusid2-s2.0-79955893546en_UK
dc.identifier.wtid835090en_UK
dc.contributor.orcid0000-0001-6080-7197en_UK
dcterms.dateAccepted2011-12-31en_UK
dc.date.filedepositdate2011-08-24en_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorTravis, Justin M|en_UK
local.rioxx.authorHarris, Catriona|en_UK
local.rioxx.authorPark, Kirsty|0000-0001-6080-7197en_UK
local.rioxx.authorBullock, James M|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate3000-12-01en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||en_UK
local.rioxx.filenametravis2011.pdfen_UK
local.rioxx.filecount1en_UK
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