The Use of Remote Sensing, GIS, and Multivariate Vegetation Analyses to Explain the Distribution of Riparian Forest Communities at Multiple Spatial Scales

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The Use of Remote Sensing, GIS, and Multivariate Vegetation Analyses to Explain the Distribution of Riparian Forest Communities at Multiple Spatial Scales

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dc.contributor.author Mollot, Lauren
dc.date.accessioned 2011-07-26T23:58:55Z
dc.date.available 2011-07-26T23:58:55Z
dc.date.issued 2005-02-17
dc.identifier.uri http://hdl.handle.net/1773/16993
dc.description.abstract Mollot will ask the question: Under what conditions should we restore conifer to stands currently dominated by hardwood in our effort to rehabilitate fish habitat? As a case study, she will consider the Cedar River watershed. She will review remote sensing at the macro scale, GIS at the meso scale, and multivariate vegetation analysis at the micro scale. She will discuss the management implications of this collective research. en_US
dc.language.iso en_US en_US
dc.publisher University of Washington Water Center en_US
dc.relation.ispartofseries 2005 Annual Review of Research;Mollot
dc.subject riparian forests en_US
dc.subject aquatic habitat en_US
dc.subject habitat conservation en_US
dc.subject conifers en_US
dc.subject coniferous forests en_US
dc.subject hardwood forests en_US
dc.subject Washington en_US
dc.subject remote sensing en_US
dc.subject geographic information systems en_US
dc.subject multivariate analysis en_US
dc.subject vegetation en_US
dc.subject watershed management en_US
dc.subject water en_US
dc.title The Use of Remote Sensing, GIS, and Multivariate Vegetation Analyses to Explain the Distribution of Riparian Forest Communities at Multiple Spatial Scales en_US
dc.type Presentation en_US


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