Thesis (M.S.)--Oregon State University, 2002. / Typescript (photocopy). Includes bibliographical references (leaves 131-140). Also available on the World Wide Web.

Thesis (Ph. D.)--Oregon State University, 2001. / Typescript (photocopy). Includes bibliographical references (leaves 99-110). Also available on the World Wide Web.

Thesis (M.S.)--Oregon State College, 1954. / Typescript. Includes bibliographical references (leaves 50-51). Also available on the World Wide Web.

ix, 94 p. : ill. A print copy of this thesis is available through the UO Libraries. Search the library catalog for the location and call number. / This thesis examines the Long-Term Ecological Reflections at H.J. Andrews Experimental Forest, Oregon, a project that promotes creative inquiry at an ecological research station. I analyze how reflective writing contributes to a deeper understanding of ecosystem processes and fosters a closer connection to nature, referred to as "ecological awareness." I argue that the greatest ecological awareness comes from a combination of scientific and artistic ways of knowing as well as physical immersion in nature. I critically analyze the work of four writers: Jane Coffey, Vicki Graham, Freeman House, and Robin Kimmerer. These works create a strong connection to place for the reader and facilitate an understanding of the forest ecosystem through a discussion of scientific facts. They also create a sense of place through vivid and metaphorical language. These reflections will become an increasingly valuable mode of inquiry as the Andrews Forest develops a stronger writer-scientists interaction. / Committee in Charge: Dr. Louise V. Westling, Chair; Dr. Brendan Bohannan; Dr. Scott D. Bridgham

Thesis (M.S.)--Oregon State University, 1961. / Typescript. Includes bibliographical references (leaves 48-49). Also available on the World Wide Web.

Thesis (Ph. D.)--University of Washington, 1998. / Vita. Includes bibliographical references (leaves [229]-240).

A transition model (MOSAIC) is used to describe forest dynamics at the landscape scale. The model uses a semi-Markov framework by considering transition probabilities and Erlang distributed holding times in each transition. Parameters for the transition model are derived from a gap model (ZELIG). This procedure ensures conceptual consistency of the landscape model with the fine scale ecological detail represented by the forest gap model. Spatial heterogeneity in the transition model is driven by maps of terrain with characteristics contained in a Geographic Information System (GIS) database. The results of the transition model simulations, percent cover forest type maps, are exported to grid-maps in the GIS. These cover type maps can be classified and used to describe forest dynamics using landscape statistics metrics. The linkage model-GIS enhances the transition model spatial analytical capabilities. A parameterization algorithm was developed that takes as input gap model tracer files which contain the percent occupation of each cover type through time. As output, the algorithm produces a file that contains the parameter values needed for MOSAIC for each one of the possible transitions. Parameters for the holding time distribution were found by calculating an empirical estimate of the cumulative probability function and using a non-linear least squares method to fit this estimate to an Erlang distribution. The algorithm provided good initial estimates of the transitions parameters that can be refined with few additional simulations. A method for deriving classification criteria to designate cover types is presented. The method uses cluster analysis to detect the number and type of forest classes and Classification and Regression Tree (CART) analysis to explain the forest classes in term of stand attributes. This method provided a precise and objective approach for forest cover type definition and classification. The H. J. Andrews forest in Oregon was used to demonstrate the methods and procedures developed in this study.