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Lack of association between forest productivity and snowpack: a 25-year investigation into the Intermountain West
Department: Biology
ResourceLengthWidthThickness
Paper000
Specimen Elements
Pocatello
Unknown to Unknown
Dayne Lubenow
Idaho State University
Thesis
No
12/10/2019
digital
City: Pocatello
Master
Among observational literature investigating how plant productivity during the growing season is related to winter snow accretion, most of the existing studies use relatively coarse resolution satellite imagery to investigate snowpack-vegetation relationships over macroscales and mesoscales. The current study compares vegetation productivity at relatively fine scales to point measurements of snow water equivalent (SWE) within study plots among the Intermountain West. We compared the 25-year period between 1993-2017 using data from Landsat satellite platforms to derive peak Normalized Difference Vegetation Index (NDVI). We observed weak relationships between snowpack and vegetation productivity, with 10.1% of SNOTEL station plots displaying statistically significant correlation (p< 0.05) between annual peak SWE and peak NDVI. Multiple regression modeling was performed within sub-regions of our main study to determine the environmental controlling effects of NDVI. We determined that NDVI (growth) was being controlled by dissimilar environmental variables within each climate division. Key Words:ProductivitySWE(Snow water equivalent)NDVI (Normalized Difference Vegetation Index)ResolutionAblation

Lack of association between forest productivity and snowpack: a 25-year investigation into the Intermountain West

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