New Zealand-Modular Forest Management DSS in NZ
Case
Has flag | |
---|---|
Has full name | Modular Forest Management DSS in NZ |
Has country | New Zealand |
Has location | Rotorua |
Has responsible organisation | Scion |
Has type of owner organization | research institution |
Has related DSS | T(ree) |
Has start date | 1988 |
Has end date | 2008 |
Has DSS development stage | Development, Update |
Has decision stage | organization |
Has temporal scale | Long term (strategic) |
Has spatial context | Non spatial |
Has spatial scale | Stand level |
Has decision making dimension | Single decision maker |
Has objectives dimension | Multiple objectives |
Has goods and services dimension | Market wood products |
Has working group theme | Dss development process |
Has website | http://www.Scionresearch.com |
Has description | A stand modelling system “STANDPAK” has been used by the New Zealand forest industry over two decades (1988 – 2008). It was developed and supported by researchers at Scion (New Zealand Forest Research Institute Ltd) and has been through the full cycle of development, use and redundancy. It is to be replaced by a new generation DSS called Forecaster.
The STANDPAK system was empirical, modular and deterministic. It primarily provided a mechanism for the integration of numerous research results and gave managers and investors a method of objectively evaluating alternative management regimes for plantations of radiata pine. The system was deployed on early personal computers as a DOS application, ie was not adapted to run as a WINDOWS application. STANDPAK predicted the growth of stands (allowing for the effects of site, genetic improvement and stand management), calculates diameter distributions at harvest and produces stand volumes by log size and quality. Potential sawlog values may then be predicted under a range of processing and pricing scenarios. The effects of trees on pasture and hence livestock production in agroforestry situations was also predicted. A second phase of development has been in the area of wood quality and carbon sequestration. The ability to predict the quantity of juvenile wood and number of rings per log have been added to assist with concerns of wood quality associated with shorter rotations. A algorithm has been added that predicts the allocation of stand biomass to roots, stems, branchs, and needles, this allows the calculation of the amount of carbon sequestered as the stand grows while accounting for the impact pruning, thinning, mortality, harvesting and decay of tree components. |
Has reference | Whiteside, I D; West, G G; Knowles, R L; 1988. Use of STANDPAK for evaluating radiata pine management at the stand level. FRI Bulletin No. 154
West, G G; 1993. A review of the development and use of the NZ Stand Modelling System: STANDPAK.. In Proceedings of International Symposium on System Analysis and Management Decisions in Forestry, Valdivia, Chile 1993, Pp 181-189 West G.G., 1997: STANDPAK evaluation of the effects of site, silviculture, and genetics on Mean Log Age and the proportion of juvenile wood. NZ Journal of Forestry Science Vol. 27(3) Pp 324-42 |
Has wiki contact person | Graham West |
Has wiki contact e-mail | graham.west@scionresearch.com |
Has DSS development | New Zealand-Modular Forest Management DSS in NZ.Description of DSS development |
Has decision support techniques | New Zealand-Modular Forest Management DSS in NZ.Decision support techniques |
Has knowledge management processes | New Zealand-Modular Forest Management DSS in NZ.Knowledge management process |
Has support for social participation | New Zealand-Modular Forest Management DSS in NZ.Support of social participation |
- has related Lesson:End user engagement throughout the development and deployment cycle is very important, Modular approach helpful in assisting industry uptake, Regular ongoing engagement helped maintain interest of users, The development of large and enduring systems requires a long term approach, Users preferred enhanced functionality rather than useability