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dc.contributor.authorKELLY, DANIELen
dc.date.accessioned2015-12-09T11:48:19Z
dc.date.available2015-12-09T11:48:19Z
dc.date.issued2014en
dc.date.submitted2014en
dc.identifier.citationBatke, S.P., Jocque, M., Kelly, D.L. , Modelling Hurricane Exposure and Wind Speed on a Mesoclimate Scale: A Case Study from Cusuco NP, Honduras., PLoS ONE , 9, 3, 2014, 11en
dc.identifier.otherYen
dc.identifier.urihttp://hdl.handle.net/2262/75177
dc.descriptionPUBLISHEDen
dc.description.abstractHigh energy weather events are often expected to play a substantial role in biotic community dynamics and large scale diversity patterns but their contribution is hard to prove. Currently, observations are limited to the documentation of accidental records after the passing of such events. A more comprehensive approach is synthesising weather events in a location over a long time period, ideally at a high spatial resolution and on a large geographic scale. We provide a detailed overview on how to generate hurricane exposure data at a meso-climate level for a specific region. As a case study we modelled landscape hurricane exposure in Cusuco National Park (CNP), Honduras with a resolution of 50 m×50 m patches. We calculated actual hurricane exposure vulnerability site scores (EVVS) through the combination of a wind pressure model, an exposure model that can incorporate simple wind dynamics within a 3-dimensional landscape and the integration of historical hurricanes data. The EVSS was calculated as a weighted function of sites exposure, hurricane frequency and maximum wind velocity. Eleven hurricanes were found to have affected CNP between 1995 and 2010. The highest EVSS’s were predicted to be on South and South-East facing sites of the park. Ground validation demonstrated that the South-solution (i.e. the South wind inflow direction) explained most of the observed tree damage (90% of the observed tree damage in the field). Incorporating historical data to the model to calculate actual hurricane exposure values, instead of potential exposure values, increased the model fit by 50%en
dc.description.sponsorshipThis project was funded by Trinity College Dublin, the Rufford Foundation, Operation Wallacea and the Royal Geographic Society London (in collaboration with Dr. Merlijn Jocque). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscripen
dc.format.extent11en
dc.language.isoenen
dc.relation.ispartofseriesPLoS ONEen
dc.relation.ispartofseries9en
dc.relation.ispartofseries3en
dc.rightsYen
dc.subjectbiotic community dynamicsen
dc.subject.lcshbiotic community dynamicsen
dc.titleModelling Hurricane Exposure and Wind Speed on a Mesoclimate Scale: A Case Study from Cusuco NP, Honduras.en
dc.typeJournal Articleen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/dkellyen
dc.identifier.rssinternalid94001en
dc.identifier.doihttp://dx.doi.org/10.1371/journal.pone.0091306en
dc.rights.ecaccessrightsopenAccess
dc.relation.sourceNational Oceanic and Atmospheric Administration (NOAA). 2012. NHC Data Archive.en
dc.subject.TCDThemeSmart & Sustainable Planeten
dc.subject.TCDTagEcologyen
dc.subject.TCDTagEnvironmental Impacts, Interactionsen


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