Ranking of four contributions to error in stand-level Douglas-fir log supply and value recovery estimation

$50.00 plus tax (Refund Policy)

Buy Article:

Abstract:

Sustainability and globally competitive forest product supply markets are two of the pressures that forest managers face today. Both require that managers have good metrics of the quantity, quality, and location of timber resources within their forests. The value of this information must be weighed against the cost of obtaining it and losses associated with not having access to it. A cost-plus-loss procedure for assessing the relative contributions to error in estimating stand-level value recovery and log product yields was developed and tested on two Douglas-fir ( Pseudotsuga menziesii (Mirb.) Franco) stands in Oregon. The sources of error were those associated with (i) market complexity, (ii) sampling intensity, (iii) stem quality assessment methods, and (iv) bucking optimization algorithms. Two performance measures were used as part of the assessment procedure: market fulfilment and the difference in total net value recovery between having complete and less than complete information. Average market fulfilment ranged between 60% and 100%. The difference in total net value recovery ranged from –21.2% to¬†+0.8%. Stem quality assessment followed by bucking optimization algorithms and sampling intensity had the greatest effects on these performance measures. Market complexity had a negligible effect on these performance measures but affected net value recovery.

Document Type: Research Article

DOI: http://dx.doi.org/10.1139/x11-122

Affiliations: 1: Forest Engineering Resources and Management Department, Oregon State University, Corvallis, OR 97331, USA. 2: University of Tasmania, Hobart, Tasmania, Australia.

Publication date: October 8, 2011

More about this publication?
  • Published since 1971, this monthly journal features articles, reviews, notes and commentaries on all aspects of forest science, including biometrics and mensuration, conservation, disturbance, ecology, economics, entomology, fire, genetics, management, operations, pathology, physiology, policy, remote sensing, social science, soil, silviculture, wildlife and wood science, contributed by internationally respected scientists. It also publishes special issues dedicated to a topic of current interest.
  • Information for Authors
  • Submit a Paper
  • Subscribe to this Title
  • Terms & Conditions
  • Sample Issue
  • Reprints & Permissions
  • ingentaconnect is not responsible for the content or availability of external websites
Related content

Tools

Favourites

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more