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oai:mountainscholar.org:10217/460152025-12-30T03:37:59Zcom_10217_100532com_10217_100000com_10217_100511com_10217_100303col_10217_100538col_10217_100514

Norman, John Barstow, author Kelly, Eugene F., advisor Rhoades, Chuck, committee member Reich, Robin M., committee member Fraser Experimental Forest (Colo.) 2007-01-03T04:55:51Z 2007-01-03T04:55:51Z 2010 2010_Fall_Norman_John.pdf ETDF2010300052SOCS http://hdl.handle.net/10217/46015 https://doi.org/10.25675/3.018902 Hans Jenny's Factors of Soil Formation, a system of quantitative pedology (1941), concisely summarized and illustrated many of the basic principles of pedology utilized to date (Jenny, 1941). This state factor model became the backbone for soil survey research and production because it proposed that a limited number of environmental factors could largely explain the distribution of soils within and among ecosystems. Advances in soil chemistry, soil physics, soil mineralogy, and soil biology, as well as in the basic sciences have helped increase our fundamental understanding of the spatial distribution of soil. In addition, new tools and new dimensions to the study of soil formation have evolved with the increasing power and utility of Geographical Information Systems (GIS) and geostatistical analysis to further quantify the complex spatial relationships of soils and landscapes. These advances have resulted in a new field of study termed pedometrics, which focuses on the application of mathematical and statistical methods for the study of the distribution and evolution of soils. This study implements pedometric principles and methods to develop high resolution and spatially explicate soil attribute maps for Fraser Experimental Forest (FEF) based on simple terrain, remote sensing and geostatistical analyses. The soil attribute models developed for this study provided a continuous representation of soil properties (Total soil depth, A-horizon and O-horizon thickness) at a fine scale (0.001 ha). These spatial models can be used as inputs to hydrological and ecological models to further evaluate the soil's influence on water chemistry and vegetation distributions, and to provide an initial platform for future soil survey activities in FEF. In addition to developing soil attribute surfaces for FEF, I tested the statistical, spatial and cost efficiencies of the Spatially Balances Survey (SBS) design developed to sample soils and inform the geostatistical models for FEF. masters theses English eng Colorado State University. Libraries 2000-2019 Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. spatial analysis soil attribute surfaces geostatistics Soil management -- Geographic information systems -- Colorado -- Fraser Experimental Forest Soils -- Geographic information systems -- Colorado -- Fraser Experimental Forest Soil profiles -- Colorado -- Fraser Experimental Forest Soils -- Colorado -- Fraser Experimental Forest -- Maps Soils -- Colorado -- Fraser Experimental Forest -- Remote sensing Integrating basic remote sensing, terrain analysis and geostatistical methods to generate spatially explicate continuous soil attribute maps for Fraser Experimental Forest Text Master of Science (M.S.) Masters Soil and Crop Sciences Colorado State University This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). open.access