Show simple item record

dc.contributor.authorClyde, Karen J.
dc.date.accessioned2015-09-22T00:11:39Z
dc.date.available2015-09-22T00:11:39Z
dc.date.issued2005-05
dc.identifier.urihttp://hdl.handle.net/11122/5990
dc.descriptionThesis (M.S.) University of Alaska Fairbanks, 2005en_US
dc.description.abstractStratification of moose survey areas is a key step to reduce population estimation variance. In the Yukon and Alaska, use of fixed-area grids for early winter moose counts combined with the increasing availability of GIS and remotely sensed data provide the opportunity to develop standardized and repeatable habitat-based stratifications. I used univariate comparisons, stepwise regression and AIC modeling to describe moose distribution as a function of landscape level variables for an area in west central Yukon during 1998 and 1999. Results quantified early winter habitat use of upland shrub habitats and support previous observations for early winter moose habitat use in Alaska, Minnesota and Montana. Number of patches, in association with areas of alpine and shrubs, were found to be highly influential for survey blocks where moose are expected to be present and in high numbers. Overall, model performance based on relative abundance of moose was less predictive than for blocks where moose were present or absent. Spatial resolution of GIS and remotely sensed data used in this study (25 m grid cells) provided sufficient spatial detail to generate correlations between moose presence and habitat for a first level stratification.en_US
dc.description.tableofcontentsIntroduction -- Study area -- Early winter moose surveys -- Land cover mapping -- Habitat variables -- Statistical analyses -- Model development and assessment -- Results -- Early winter moose Surveys --Land cover mapping -- Moose presence and absence -- Univariate analyses -- Stepwise regression -- Model assessment -- High/low numbers of observed adult moose -- Univariate analysis -- Stepwise regression -- Model assessment -- Discussion -- Limitations of this study -- Conclusions and recommendation -- Recommendations for conducting habitat-based stratifications -- Literature cited -- List of personal communication -- Tables -- Figures -- Appendices.en_US
dc.language.isoen_USen_US
dc.titleUsing GIS-based and remotely sensed data for early winter moose (Alces alces gigas) survey stratificationen_US
dc.typeThesisen_US
dc.type.degreemsen_US
dc.identifier.departmentForest Sciences Departmenten_US
refterms.dateFOA2020-03-20T01:21:22Z


Files in this item

Thumbnail
Name:
Clyde_K_2005.pdf
Size:
84.51Mb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record