Risk-based Selection of Forest Regeneration Methods
AbstractA stochastic optimization model is developed to make a selection between the planting method and the seed-tree method, taking into account the uncertainty of, and the legal requirement on, the stocking level of the established seedlings in a given year after regeneration action. Uncertainty is quantified as the variation of the mortality rate of planted seedlings for the planting method, and as the prediction error for the seed-tree method. The objective of the forest landowner is assumed to maximize the expected net present value (NPV). Numerical simulations show that the owner should prefer the seed-tree method to the planting method for Scots pine stand. However, if the risk-free selection model is used, it overestimates the expected NPV by about 2\%. Sensitivity analysis shows that a less restrictive forest act could improve the expected net present value both for the planting method and the seed-tree method. Sensitivity analysis also shows that decreasing the level of variation of the mortality rate (or prediction error) increases the expected NPV.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by International Institute for Applied Systems Analysis in its series Working Papers with number ir97069.
Date of creation: Oct 1997
Date of revision:
Contact details of provider:
Postal: A-2361 Laxenburg
Web page: http://www.iiasa.ac.at/Publications/Catalog/PUB_ONLINE.html
More information through EDIRC
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Thomas Krichel).
If references are entirely missing, you can add them using this form.