A model to help people to realize sustainable forestry futures

Vanclay, Jerome K., Prabhu, Ravi, Muetzelfeldt, Robert and Haggith, Mandy (2003) A model to help people to realize sustainable forestry futures. Annals of Tropical Research, 25 2: 53-64.

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
n12._sustainable.pdf n12._sustainable.pdf Click to show the corresponding preview/stream application/pdf 218.06KB 180
Author Vanclay, Jerome K.
Prabhu, Ravi
Muetzelfeldt, Robert
Haggith, Mandy
Title A model to help people to realize sustainable forestry futures
Journal name Annals of Tropical Research
ISSN 0116-1710
Publication date 2003-01-01
Sub-type Article (original research)
Volume 25
Issue 2
Start page 53
End page 64
Total pages 12
Editor Steve R. Harrison
Eduardo O. Mangaoang
John L. Herbohn
Paciencia P. Milan
Victor B. Asio
Jungho Suh
Language eng
Subject 300602 Tree Improvement (Selection, Breeding and Genetic Engineering)
300606 Agroforestry
300600 Forestry Sciences
300604 Management and Environment
Abstract People usually know how they want their situation to change to secure a better future - but they do not always know how to change their situation. Initiatives intended to secure a better future do not always work as intended, and may have unintended side effects. Computer models can help advocates explore consequences of proposed initiatives, so they can make informed selections of alternatives, secure in the knowledge that consequences have been thoroughly investigated. By encouraging people to explore scenarios, models empower people to be more innovative and less dependent on technocrats. Models also enable planners to experiment with policy without risks to people or to the environment. Emerging software solves many technical limitations, but the real issue is not software, but rather the provision of a supportive framework within which people can express and experiment with ideas. FLORES, the Forest Land Oriented Resource Envisioning System, provides such a framework to stimulate interdisciplinary collaboration between researchers, practitioners and clients. Two recent workshops have demonstrated the feasibility of FLORES, one of which provides the subject matter for a forthcoming issue of Small-scale Forest Economics, Management and Policy. However, FLORES is not about software; it is about providing the means to explore the consequences of alternative scenarios. Ultimately, FLORES is not a physical package, but an association of users and the interactions they have amongst themselves, and with the people involved in policy-making. By promoting this emerging network and providing technical support we encourage more people, especially those from developing countries, to influence the development of FLORES and the issues that can be explored within it.
Keyword decision support system
adaptive modelling
land-use alternatives
policy analysis
envisioning
forest frontier
References ANONYMOUS. 1997. Crop Yield Forecasting Methods. Proceedings of the seminar, Villefranche-sur-Mer, 24-27 Oct 1994. Eurostat, JRC-ISPRA, DG VI and FAO. ECSC-EC-EAEC, Luxembourg. BOUSQUET, F., CAMBIER, C., MULLON, C., MORAND, P., QUENSIERE, J. and A. PAVE. 1993. Simulating the interaction between a society and a renewable resource. Journal of Biological Systems. 1: 199-214. BOUSQUET, F., CAMBIER, C. and P. MORAND. 1994. Distributed artificial intelligence and object-oriented modelling of a fishery. Mathematical and Computer Modelling. 20: 97-107. HOLLING, C.S., ed. 1978. Adaptive Environmental Assessment and Management. Wiley, London. 377p. IPSSR (INSTITUTE FOR POLICY AND SOCIAL SCIENCE RESEARCH). 2000. Fish Banks Ltd. http://www.unh.edu/ipssr/Lab/FishBank.html. 3 March 2000. MIT (MASSACHUSETTS INSTITUTE OF TECHNOLOGY). 2000. The Beer Game. http://learning.mit.edu/pra/tool/beer.html. 14 March 2000. MAXIS COORPORATION 2000. Simcity 2000. http://www.maxis.com. 3 March 2000. MUETZELFELDT, R.I. and J. TAYLOR. 1997. The suitability of AME for agroforestry modeling. Agroforestry Forum. 8(2): 7-9. Also see http://www.simile.co.uk MUETZELFELDT, R.I. and J. TAYLOR. 2001. Developing forest models in the Simile visual modelling environment. Paper to IUFRO conference on Forest Biometry, Modelling, and Information Science, Greenwich, June 2001, http://www.ierm.ed.ac.uk/simile/documents/iufro3.pdf, 30 January 2003. MUETZELFELDT, R.I., TAYLOR, J. and M. HAGGITH. 1997. Development of pFLORES, a Prototype FLORES Model: Progress Report. December 1997. Institute of Ecology and Resource Management, University of Edinburgh. http://www.ed.ac.uk/~ebfr28/flores/ rep9712/rep9712.htm VANCLAY, J.K. 1993. Inventory and yield prediction for natural forest management. In: Australasian Forestry and the Global Environment (R.N. Thwaites and B.J. Schaumberg, eds.). Institute of Foresters of Australia, Brisbane. pp. 163-169. VANCLAY, J.K. 1994. Modelling Forest Growth and Yield: Applications to Mixed Tropical Forests. CAB International, Wallingford, U.K. xvii+312p. VANCLAY, J.K. 1995. Modelling to explore land-use patterns at the forest edge: objectives and model design. In: Proceedings, International Congress on Modelling and Simulation (MODSIM'95), 27-30 November (P. Binning, H. Bridgman and B. Williams, eds.). University of Newcastle, NSW. pp. 113-116. VANCLAY, J.K. 1998. FLORES: for exploring land-use options in forested landscapes. Agroforestry Forum. 9(1): 47-52. VANCLAY, J.K. and J.P. SKOVSGAARD. 1997. Evaluating forest growth models. Ecological Modeling. 98: 1-12. VANCLAY, J.K., F. SINCLAIR and R. PRABHU. 2003. Modelling Interactions amongst People and Forest Resources at the Landscape Scale. Small-scale Forest Management, Economics and Polic y. 2(2): 117-120.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
School of Agriculture and Food Sciences
 
Versions
Version Filter Type
Citation counts: Google Scholar Search Google Scholar
Access Statistics: 206 Abstract Views, 180 File Downloads  -  Detailed Statistics
Created: Wed, 12 Jul 2006, 10:00:00 EST by Annerine Bosch on behalf of Research Management Office