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Digital Forestry: A white paper

Digital Forestry: A white paper

Zhao, Guang, Shao, Guofan, Reynolds, Keith M., Wimberly, Michael C., Warner, Tim, Moser, John W., Rennolls, Keith, Magnussen, Steen, Köhl, Michael, Anderson, Hans-Erik, Mendoza, Guillermo A., Dai, Limin, Huth, Andreas, Zhang, Liangjun, Brey, James, Sun, Yujun, Ye, Ronghua, Martin, Brett A. and Li, Fengri (2005) Digital Forestry: A white paper. Journal of Forestry, 103 (1). pp. 47-50. ISSN 0022-1201

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Abstract

Digital Forestry has been proposed as “the science, technology, and art of systematically acquiring, integrating, analyzing, and applying digital information to support sustainable forests.” Although rooted in traditional forestry disciplines, Digital Forestry draws from a host of other fields that, in the past few decades, have become important for implementing the concept of forest ecosystem management and the principle of sustainable forestry. Digital Forestry is a framework that links all facets of forestry information at local, national, and global levels through an organized digital network. It is anticipated that a new set of principles will be established when practicing Digital Forestry concept for the evolution of forestry education, research, and practices as the 21st century unfolds.

Item Type: Article
Uncontrolled Keywords: digital technology, ecosystem management, environmental management, forest, forest management, forest resources, forest sustainability, forestry, forestry research, forestry science, global network, natural resource management, natural resources, quantitative method
Subjects: Q Science > QA Mathematics
S Agriculture > SD Forestry
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Computer Science
School of Computing & Mathematical Sciences > Statistics & Operational Research Group
Related URLs:
Last Modified: 14 Oct 2016 09:02
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/854

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