Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Publication
- Publication Type
Articles 1 - 3 of 3
Full-Text Articles in Physical Sciences and Mathematics
Snow-Albedo Feedback In Northern Alaska: How Vegetation Influences Snowmelt, Lucas C. Reckhaus
Snow-Albedo Feedback In Northern Alaska: How Vegetation Influences Snowmelt, Lucas C. Reckhaus
Theses and Dissertations
This paper investigates how the snow-albedo feedback mechanism of the arctic is changing in response to rising climate temperatures. Specifically, the interplay of vegetation and snowmelt, and how these two variables can be correlated. This has the potential to refine climate modelling of the spring transition season. Research was conducted at the ecoregion scale in northern Alaska from 2000 to 2020. Each ecoregion is defined by distinct topographic and ecological conditions, allowing for meaningful contrast between the patterns of spring albedo transition across surface conditions and vegetation types. The five most northerly ecoregions of Alaska are chosen as they encompass …
Evaluating The Long-Term Effects Of Logging Residue Removals In Great Lakes Aspen Forests, Michael I. Premer
Evaluating The Long-Term Effects Of Logging Residue Removals In Great Lakes Aspen Forests, Michael I. Premer
Dissertations, Master's Theses and Master's Reports
Commercial aspen (Populus spp.) forests of the Great Lakes region are primarily managed for timber products such as pulp fiber and panel board, but logging residues (topwood and non-merchantable bolewood) are potentially important for utilization in the bioenergy market. In some regions, pulp and paper mills already utilize residues as fuel in combustion for heat and electricity, and progressive energy policies will likely cause an increase in biomass feedstock demand. The effects of removing residues, which have a comparatively high concentration of macronutrients, is poorly understood when evaluating long-term site productivity, future timber yields, plant diversity, stand dynamics, and …
Pastoral Lease Assessment Using Geospatial Analysis, T P. Robinson, P E. Novelly, R Corner, Philip Thomas, A Russell-Browm
Pastoral Lease Assessment Using Geospatial Analysis, T P. Robinson, P E. Novelly, R Corner, Philip Thomas, A Russell-Browm
Resource management technical reports
Seven remote sensing based Vegetation Indices (NDSVI, STVI-3, NDVI, Green + Red, Red, Land Monitor and STVI-1) were tested for their potential to discriminate between “poor” and “good” range condition assessments in Western Australia’s pastoral rangelands. Indices were computed using the Australian Greenhouse Office National Carbon Accounting System (AGO NCAS) repository of calibrated Landsat TM/ETM+ mosaics. Discrimination potential was assessed at two levels of stratification – station level (identical to the stratification used to collect the traverse data), and functional group level (an aggregation of similar land systems);