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Modeling vertebrate diversity in Oregon using satellite imagery

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dc.contributor.advisor Ripple, William J.
dc.creator Cablk, Mary E.
dc.date.accessioned 2009-04-22T21:11:36Z
dc.date.available 2009-04-22T21:11:36Z
dc.date.copyright 1997-06-13
dc.date.issued 1997-06-13
dc.identifier.uri http://hdl.handle.net/1957/11349
dc.description Graduation date: 1998 en_US
dc.description.abstract Vertebrate diversity was modeled for the state of Oregon using a parametric approach to regression tree analysis. This exploratory data analysis effectively modeled the non-linear relationships between vertebrate richness and phenology, terrain, and climate. Phenology was derived from time-series NOAA-AVHRR satellite imagery for the year 1992 using two methods: principal component analysis and derivation of EROS data center greenness metrics. These two measures of spatial and temporal vegetation condition incorporated the critical temporal element in this analysis. The first three principal components were shown to contain spatial and temporal information about the landscape and discriminated phenologically distinct regions in Oregon. Principal components 2 and 3, 6 greenness metrics, elevation, slope, aspect, annual precipitation, and annual seasonal temperature difference were investigated as correlates to amphibians, birds, all vertebrates, reptiles, and mammals. Variation explained for each regression tree by taxa were: amphibians (9 1%), birds (67%), all vertebrates (66%) reptiles (57%), and mammals (55%). Spatial statistics were used to quantify the pattern of each taxa and assess validity of resulting predictions from regression tree models. Regression tree analysis was relatively robust against spatial autocorrelation in the response data and graphical results indicated models were well fit to the data. en_US
dc.language.iso en_US en_US
dc.relation Explorer Site -- Forest Explorer en_US
dc.subject.lcsh Biological diversity -- Oregon -- Remote sensing en_US
dc.subject.lcsh Biological diversity -- Oregon -- Mathematical models en_US
dc.subject.lcsh Vertebrates -- Oregon -- Mathematical models en_US
dc.title Modeling vertebrate diversity in Oregon using satellite imagery en_US
dc.type Thesis en_US
dc.degree.name Doctor of Philosophy (Ph. D.) in Forest Resources en_US
dc.degree.level Doctoral en_US
dc.degree.discipline Forestry en_US
dc.degree.grantor Oregon State University en_US
dc.description.digitization PDF derivative scanned at 300 ppi (256 B&W, 256 Grayscale, 24-bit Color), using Capture Perfect 3.0, on a Canon DR-9080C. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR. en_US


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