Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/20215
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dc.contributor.authorLozar, R. D. (Robert D.)-
dc.contributor.authorWestervelt, James D.-
dc.date.accessioned2016-10-12T14:06:03Z-
dc.date.available2016-10-12T14:06:03Z-
dc.date.issued2015-02-
dc.identifier.urihttp://hdl.handle.net/11681/20215-
dc.descriptionTechnical Report-
dc.descriptionAbstract: Changes in climatic parameters are important in that they affect the military’s ability to perform its national defense mission and to manage military lands. The military must have the ability to predict climatic changes on specific installations. To support this need, the research tested and evaluated the application of six multivariate approach techniques to predict climatic changes on a specific Army installation, Fort Benning, GA. The six approaches were tested for their ability to identify where anticipated future conditions might be found today using a set of 19 bioclimatic parameters derived from climate change data. The evaluation found that the Primarily Analogous Multivariate approach developed during this research clearly distinguished itself from the other five approaches in that it success-fully determined future climatic factors at the installation, as well as at the sub-installation level using the currently available climatic data.-
dc.publisherConstruction Engineering Research Laboratory (U.S.)-
dc.publisherEngineer Research and Development Center (U.S.)-
dc.relationhttp://acwc.sdp.sirsi.net/client/en_US/search/asset/1042066-
dc.rightsApproved for public release; distribution is unlimited.-
dc.sourceThis Digital Resource was created in Microsoft Word and Adobe Acrobat-
dc.subjectClimate change-
dc.subjectFort Benning (Ga.)-
dc.subjectNatural resource management-
dc.subjectModeling-
dc.subjectLand use planning-
dc.titleMultivariate bioclimatic ecosystem change approaches-
dc.typeReporten_US
Appears in Collections:Technical Report

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