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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.
- Sales Rank: #4739846 in Books
- Published on: 1999-10-28
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 9.69" h x .91" w x 7.44" l,
- Binding: Hardcover
- 364 pages
Review
' ... 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
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