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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

ResearchWorks at the University of Washington


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Title The Use of Remote Sensing, GIS, and Multivariate Vegetation Analyses to Explain the Distribution of Riparian Forest Communities at Multiple Spatial Scales
 
Creator Mollot, Lauren
 
Subject riparian forests
aquatic habitat
habitat conservation
conifers
coniferous forests
hardwood forests
Washington
remote sensing
geographic information systems
multivariate analysis
vegetation
watershed management
water
 
Description 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.
 
Publisher University of Washington Water Center
 
Date 2011-07-26T23:58:55Z
2011-07-26T23:58:55Z
2005-02-17
 
Type Presentation
 
Identifier http://hdl.handle.net/1773/16993
 
Language en_US
 
Relation 2005 Annual Review of Research;Mollot
 
Institute of Museum and Library Services National Endowment for the Humanities Greater Western Library Alliance