This chapter provides a review of the statistical and modelling disciplines, their techniques and potential contribution to sustainable forest management (SFM). The main topics covered are: Mensuration and models for sustainable forest management (SFM) Inventory and monitoring for forest sustainability: criteria and indicators Models of tropical forests for the conservation of biodiversity Integrating information and models across spatial and temporal scales for SFM Climate and carbon models in relation to sustainability New techniques for the statistical analysis of sustainability data Uncertainly analysis in modeling and monitoring for SFM Forest data, information and model archives There are major contributions to be made, in particular in the areas of information and model integration where a synthesis of information and models across both spatial and temporal scales is required. There is a great need for international collaboration on the development of open and shared forest data and model repositories/archives, as well as continued development of forest information systems.
Book chapter
Potential contributions of statistics and modelling to sustainable forest management: review and synthesis
Sustainable forestry: from monitoring and modelling to knowledge management and policy science
CAB International
2007
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Abstract
Details
- Title
- Potential contributions of statistics and modelling to sustainable forest management: review and synthesis
- Creators
- Keith Rennolls - University of GreenwichMargarida Tomé - Technical University of LisbonRonald E McRoberts - USDA Forest Service, St Paul, USAJerome K Vanclay - Southern Cross UniversityValerie LeMay - University of British ColombiaBiing T Guan - National Taiwan UniversityGeorge Z Gertner - University of Illinois
- Publication Details
- Sustainable forestry: from monitoring and modelling to knowledge management and policy science
- Publisher
- CAB International; Wallingford, UK
- Identifiers
- 1466; 991012820388202368
- Academic Unit
- Faculty of Science and Engineering; Science; School of Environment, Science and Engineering
- Resource Type
- Book chapter