Potential contributions of statistics and modelling to sustainable forest management: Review and synthesis

Keith Rennolls, Margarida Tomé, Ronald E. Mcroberts, Jerome K. Vanclay, Valerie Lemay, Biing T. Guan, George Z. Gertner

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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 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 Uncertainty analysis in modelling 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.

Original languageEnglish (US)
Title of host publicationSustainable Forestry
Subtitle of host publicationFrom Monitoring and Modelling to Knowledge Management and Policy Science
PublisherCABI Publishing
Pages314-341
Number of pages28
ISBN (Print)9781845931742
StatePublished - Feb 28 2007

ASJC Scopus subject areas

  • Environmental Science(all)

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