Spatial Modeling of Forest Landscape Change
Spatial Modeling of Forest Landscape Change
Out of Print
In this unique volume, key researchers present newly emerging approaches to computer simulation models of large, forest landscapes. Over the past decade the field of landscape ecology has developed rapidly, focusing on the need to address ecological research and management at large spatial scales, and longer temporal domains. There is also great attention being focused on the use and management of forests throughout the world, particularly on issues such as long-term sustainability, ecosystem management, and biodiversity protection. These models have the potential to help answer research and management questions through simulation experiments that have not, in the past, considered spatial interactions among ecological processes and human activities at broad scales. Representing a rapidly emerging area in the field of landscape ecology, this volume will be of value to ecologists, forest and natural resource managers, as well as wildlife biologists and conservationists.
- Only book currently available in this rapidly growing area
- Contributions from the majority of key scientists active in field
- Full colour maps and illustrations included
Reviews & endorsements
' … an outstanding contribution to the science and practice of landscape ecology. The book is one of the best summaries of the forest landscape modelng that is currently available in one volume. It is an essential volume for any landscape ecologist, planner, or manager, who has an interest in the forest environment. In addition, any professional or student who is interested in landscape change would find this a very valuable addition to her or his library.' Laura R. Musacchio
Overall, the book amply fulfils its aim of highlighting the relationships between a variety of modelling approaches.' The Times Higher Education Supplement
' … a useful and up to date overview of landscape models.' Edward A. Johnson, Ecoscience
' … a valuable reference for those interested in forest modeling and landscape ecology.' William K. Michener, Ecology
Product details
October 1999Hardback
9780521631228
364 pages
255 × 195 × 23 mm
1.01kg
97 b/w illus. 19 colour illus. 24 tables
Unavailable - out of print October 2005
Table of Contents
- Preface
- 1. Development of forest and landscape modeling approaches David J. Mladenoff and William L. Baker
- 2. Modeling the competitive dynamics and distribution of tree species along moisture gradients John P. Caspersen, John A. Silander, Jr., Charles D. Canham and Stephen W. Pascala
- 3. Spatial and temporal impacts of adjacent areas on the dynamics of species diversity in a primary forest Jianguo Liu, Kalan Ickes, Peter S. Ashton, James V. La Frankie and N. Manokaran
- 4. Scaling fine-scale processes to large-scale patterns using models derived from models: meta-models Dean L. Urban, Miguel F. Acevedo and Steven L. Garman
- 5. Simulating landscape vegetation dynamics of Bryce Canyon National Park with the vital attributes/fuzzy systems model VAFS/LANDSIM David W. Roberts and David W. Betz
- 6. Design and behavior of LANDIS, an object-oriented model of forest landscape disturbance and succession David J. Mladenoff and Hong S. He
- 7. Predicting forest fire effects at landscape scales Robert H. Gardner, William H. Romme and Monica G. Turner
- 8. Mechanistic modeling of landscape fire patterns Mark A. Finney
- 9. Achieving sustainable forest structures on fire-prone landscapes while pursuing multiple goals John Sessions, K. Norman Johnson, Jerry F. Franklin and John T. Gabriel
- 10. Modeling the driving factors and ecological consequences of deforestation in the Brazilian Amazon Virginia H. Dale and Scott M. Pearson
- 11. Spatial simulation of the effects of human and natural disturbance regimes on landscape structure William L. Baker
- 12. HARVEST: linking timber harvesting strategies to landscape patterns Eric J. Gustafson and Thomas R. Crow
- 13. Progress and future directions in spatial modeling of forest landscapes William L. Baker and David J. Mladenoff.
