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dc.contributor.authorHarris, Catrionaen_UK
dc.contributor.authorStanford, Harriet Len_UK
dc.contributor.authorEdwards, Colinen_UK
dc.contributor.authorTravis, Justin Men_UK
dc.contributor.authorPark, Kirstyen_UK
dc.description.abstractUnderstanding the invasion potential of a species in different habitat types within the non-native range is crucial in prioritising management and control efforts, and in the protection of vulnerable habitats through monitoring. Here, using the invasive shrub Rhododendron ponticum as a case study, we integrate information on both the demographics and spatial dynamics within an individual-based, spatially-explicit model to investigate invasion potential in different habitats. Firstly, empirical demographic data were used to establish relationships between demographic traits, such as height and fecundity, and habitat variables. The outputs from models fitted using a Generalised Linear Model approach were then incorporated into an individual based simulation model of plant spread to investigate the invasion potential in different habitats using a factorial design of treatments. Plant height, and thus seed release height, was the main driver of invasion speed through an increase in dispersal potential, which resulted in the highest invasion speeds predicted for evergreen woodlands, and relatively low speeds for open habitats. Conversely, invasion density was driven by plant fecundity and seedling survival and not dispersal potential; the highest invasion densities were predicted for open habitats, with relatively low densities for evergreen habitats. Deciduous woodland had features resulting in intermediate invasion potential, both in terms of speed and density and may, therefore be the habitat that is most vulnerable to relatively rapid and dense invasionen_UK
dc.relationHarris C, Stanford HL, Edwards C, Travis JM & Park K (2011) Integrating demographic data and a mechanistic dispersal model to predict invasion spread of Rhododendron ponticum in different habitats. Ecological Informatics, 6 (41002), pp. 187-195.
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.subjectGeneralised Linear Modelen_UK
dc.subjectIndividual-based modellingen_UK
dc.subjectInvasion speeden_UK
dc.subjectWind dispersalen_UK
dc.subjectWoodland managementen_UK
dc.subjectForest managementen_UK
dc.subjectLinear models (Statistics) Data processingen_UK
dc.titleIntegrating demographic data and a mechanistic dispersal model to predict invasion spread of Rhododendron ponticum in different habitatsen_UK
dc.typeJournal Articleen_UK
dc.rights.embargoreason[harris2011.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.citation.jtitleEcological Informaticsen_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationUniversity of St Andrewsen_UK
dc.contributor.affiliationForest Researchen_UK
dc.contributor.affiliationCentre for Ecology & Hydrology (CEH)en_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
rioxxterms.typeJournal Article/Reviewen_UK
local.rioxx.authorHarris, Catriona|en_UK
local.rioxx.authorStanford, Harriet L|en_UK
local.rioxx.authorEdwards, Colin|en_UK
local.rioxx.authorTravis, Justin M|en_UK
local.rioxx.authorPark, Kirsty|0000-0001-6080-7197en_UK
local.rioxx.projectInternal Project|University of Stirling|
Appears in Collections:Biological and Environmental Sciences Journal Articles

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