Forecasting Forest Futures (PDF)
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Modelling is an important tool for understanding the complexity of forest ecosystems and the variety of interactions of ecosystem components, processes and values. This book describes the hybrid approach to modelling forest ecosystems and their possible response to natural and management-induced disturbance. The book describes the FORECAST family of ecosystem management models at three different spatial scales (tree, stand and landscape), and compares them with alternative models at these three spatial scales.
The book will help forest managers to understand what to expect from ecosystem-based forest models; serve as a tool for use in teaching about sustainability, scenario analysis and value trade-offs in natural resources management; and assist policy makers, managers and researches working in assessment of sustainable forest management and ecosystem management. Several real-life examples of using the FORECAST family of models in forest management and other applications are presented from countries including Canada, China, Spain and the USA, to illustrate the concepts described in the text. The book also demonstrates how these models can be extended for scenario and value trade-off analysis through visualization and educational or management games.
Juan A. Blanco: Dr. Blanco studied Agricultural Engineering at the Public University of Navarra, Spain. He was awarded a Ph.D. in Forest Ecology from the Public University in 2004, for his examination of the influence
Brad Seely: Dr. Seely was awarded a Ph.D. in terrestrial ecology from the Department of Biology at Boston University in 1996. He then worked as a Postdoctoral Fellow with Hamish Kimmins in the Forest Ecosystem Management Simulation group at UBC, developing the FORECAST and LLEMS models. Presently, he is a Research Associate in the Department of Forest Sciences at UBC where he develops and tests forest ecosystem management models at multiple spatial scales. His specific interests lie in the development and application of process-based models of stand growth and development. He has also conducted research and developed models to examine the interactions between forest management, site productivity, hydrologic processes, carbon sequestration and climate change.
Clive Welham: Dr. Welham was awarded his B.Sc. (1983) and M.Sc. (1986) degrees from the University of Manitoba, and his Ph.D. (1993) from Simon Fraser University, in Vancouver. His academic career began with an emphasis on evolutionary ecology and ecological modeling. Following a Postdoctoral Fellowship in the Botany Department at UBC, he joined the Forest Ecosystem Management Simulation Group, in the Department of Forest Sciences, to which he still belongs. His work at UBC is principally concerned with forest ecosystem model development, testing and validation, at spatial scales from the individual tree to the landscape. Specific interests include ecosystem reclamation, carbon dynamics, and climate change. Clive also teaches a graduate level course in ecosystem modeling, and occasional undergraduate courses.
Kim Scoullar: Mr. Scoullar is a professional programmer with more than 35 years of experience developing code for ecosystem models. He was the main developer of the FORCYTE series of models commissioned under the Energy from the Forest (ENFOR) project by the Government of Canada. Mr. Scoullar has developed educational software (FORTOON) and software for forest management and research (FORECAST, LLEMS, FORCEE). He is also collaborating in the development of CALP-Forester.
- Autoren: Hamish Kimmins , Juan A. Blanco , Brad Seely , Clive Welham , Kim Scoullar
- 2010, 304 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1136532153
- ISBN-13: 9781136532153
- Erscheinungsdatum: 23.09.2010
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- Dateiformat: PDF
- Grösse: 14 MB
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