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Alaska Pacific University

Chapter 1: We developed a non-linear regression model from first principals to predict the percent of precipitation interception from forest canopies using lidar as a measure of forest structure. To find the best parameters for the model, we measured thoroughfall of rain (n = 21), fresh snow (n = 21), and old snow (n = 26) on plots in the boreal forest of the upper Eklutna Valley, Alaska. We calculated a set of twelve lidar metrics for each plot, and found the combined metric of mean height * cover to be the lidar metric most highly correlated to ln (throughfall) for rain (r = -0.81), fresh snow (r = -0.79), and old snow (r = -0.73). Using mean height * cover in the interception model, we predicted mean interception...
Landscape-scale analysis of the relationship between juvenile Chinook size and growth and stream temperature in western Alaska (Feasibility Study)
Water temperature plays a critical role in the health of pre-smolt salmon life stages, and changes in water temperature may be a strong driving factor on growth and survival of juvenile Chinook salmon. Climate is expected to warm substantially in the coming decades in western Alaska, potentially affecting juvenile salmon condition in freshwater habitats. This project investigates the variability in size-at-age and annual growth for juvenile Chinook salmon across the western Alaska landscape, the association of juvenile Chinook size-at-age or annual growth with spatial or temporal stream temperature gradients, and whether expected water temperature changes in western Alaska will affect juvenile Chinook salmon habitat...
Chapter 1: We developed a non-linear regression model from first principals to predict the percent of precipitation interception from forest canopies using lidar as a measure of forest structure. To find the best parameters for the model, we measured thoroughfall of rain (n = 21), fresh snow (n = 21), and old snow (n = 26) on plots in the boreal forest of the upper Eklutna Valley, Alaska. We calculated a set of twelve lidar metrics for each plot, and found the combined metric of mean height * cover to be the lidar metric most highly correlated to ln (throughfall) for rain (r = -0.81), fresh snow (r = -0.79), and old snow (r = -0.73). Using mean height * cover in the interception model, we predicted mean interception...
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