Guide to assist in the application of the Northwestern Ontario forest ecosystem classification to forest management in northwestern Ontario. Interpretations relate vegetation, soil, site, and climatic factors to limitations or opportunities for forest management. The guide introduces the concept of forest ecosystem interpretations; presents the concept as a method of applying the classification to site-specific management through a set of generalized treatment units that may be further adapted to accommodate local variations in site or climate; describes some basic silvicultural interpretations, followed by interpretations for wildlife; and deals with incorporation of the system into operational forestry surveys.

Guide to assist in the recognition of vegetation and soil features of forest ecosystems in north-western Ontario using a classification system that enables the allocation of any forest ecosystem to one of 40 vegetation types and one of 22 soil types. Provides an orientation to the vegetation classification; describes the vegetation types and their determination, including a key and factsheets for classifying stands to vegetation types; provides keys and factsheets for classifying soil types; and gives a brief overview of the relationships among vegetation and soil types in north-western Ontario as well as background information on potential applications of the classification. Also contains aids for describing or recognizing important soil features and many of the plant species used in the allocation keys and factsheets.

Ecological Land Classification (ELC) refers to the description of land resources at a range of spatial resolutions (i.e. global to local) and for a range of purposes or values. The emerging science of ELC is in fact a very carefully integrated blend of vegetation and earth sciences, climatology, cartography and ecology with a range of new technologies and methodologies including computer-based geographic information systems, remote sensing and simulation modelling. This publication defines the current `state-of-the-art' of ELC. It provides particular insight into the role of ELC in current and future forest resource planning and management, and emphasizes its application and usefulness at various spatial scales, for a variety of geographic locations, and under a range of management scenarios/constraints. The book is an invaluable and substantial reference source about the current trends in ELC and will be of particular value to ecologists, foresters, geographers, resource managers, wildlife biologists, GIS and remote sensing specialists, educators and students.

Provides a case study of the development of aerial photo interpretation (API) keys that may assist resource managers in the identification of the classification units of the Northwestern Ontario Forest Ecosystem Classification (NWOFEC) on 1:15,840 scale black & white photos. The first part contains a brief historical overview of site classification activities in Ontario, and describes the NWOFEC system, some of its current applications, and past efforts to interpret photos and map the classification units. Basic techniques for interpreting landform, soil, and vegetation features on intermediate-scale black & white aerial photos are also presented. The method of developing API keys is then detailed, including phases of data collection, photo interpretation, and key construction. The final section demonstrates all aspects of development of the keys, including description of the study area's soil and vegetation characteristics, the creation of toposequence models, the framework for each key, and photo stereograms that illustrate a variety of interpreted features. The full API keys are presented in stand-alone format in appendices along with tips for applying them.

Systems analysis in forestry has continued to advance in sophistication and diversity of application over the last few decades. The papers in this volume were presented at the eighth symposium in the foremost conference series worldwide in this subject area. Techniques presented include optimization and simulation modelling, decision support systems, alternative planning techniques, and spatial analysis. Over 30 papers and extended abstracts are grouped into the topical areas of (1) fire and fuels; (2) networks and transportation; (3) forest and landscape planning; (4) ecological modeling, biodiversity, and wildlife; and (5) forest resource applications. This collection will be of interest to forest planners and researchers who work in quantitative methods in forestry.

The International Energy Agency Bioenergy Agreement was initiated as the Forestry Energy Agreement in 1978. It was expanded in 1986 to form the Bioenergy Agreement. Since that time the Agreement has thrived with some fifteen countries (Austria, Belgium, Canada, Denmark, Finland, Italy, Japan, Netherlands, New Zealand, Norway, Sweden, Switzerland, United Kingdom, United States and the CEC) currently being signatories. The objective of the Agreement is to establish increased programme and project cooperation between the participants in the field of bioenergy. The environmental consequences of intensive forest harvesting have been the subject of intense interest for the Agreement from its initiation. This interest was formulated as a Cooperative Project under the Forestry Energy Agreement in 1984. It developed further under each of the subsequent three-year Tasks of the Bioenergy Agreement (Task III, Activity 3 "Nutritional consequences of intensive forest harvesting on site productivity", Task VI, Activity 6 "Environmental impacts of harvesting" and more recently Task IX, Activity 4 "Environmental impacts of intensive harvesting". The work has been supported by five main countries from within the Bioenergy Agreement: Canada, New Zealand, Sweden, UK, and USA. The continued work has resulted in a significant network of scientists work ing together towards a common objective - that of generating a better under standing of the processes involved in nutrient cycling and the development of management regimes which will maintain or enhance long term site productivity.

What responsibility do the Manhattan Project scientists have for the atomic devastation of Hiroshima? The Krupps scientists for the crematoriums at Auschwitz? Disturbing questions like these are at the heart of this book, a sobering exploration of scientific and intellectual responsibility. In a world in which daily technological developments, from the space shuttle to genetic engineering, raise complex political and economic questions, Technoscientific Angst provides a framework for assessing the social impact and ethical implications of scienctific work.