1 / 20

Loggers' Perception and Cut-Block Design

Loggers' Perception and Cut-Block Design. Peter Schiess and Dean Berg. Forest Engineering University of Washington. Problem. Setting Design is the fundamental basis for timber harvest and efficiency of operation Logging production/costs depend on cut-block layout & site characteristics

jdarnell
Télécharger la présentation

Loggers' Perception and Cut-Block Design

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Loggers' Perception andCut-Block Design Peter Schiess and Dean Berg Forest Engineering University of Washington

  2. Problem • Setting Design is the fundamental basis for timber harvest and efficiency of operation • Logging production/costs depend on • cut-block layout & site characteristics • Interaction of design attributes is difficult to measure

  3. The Problem: How Do You Compare the Relative Efficiencyof DifferentSettings ?It’s Not justa ClearcutAnymore!!

  4. The Past:Time-motion studies are site specific.Extrapolation to other conditions are questionable.

  5. Logging operations are under severe environmental constraints • No clear understanding of interaction among design variables • Engineers still learning about Structural Retention (STR) • Harvest systems with STR involve two principal costs • -foregone timber revenue • -increased harvesting costs

  6. Structural Retention • Aggregated Retention • Dispersed Retention • Structural Retention is being broadly implemented with little experience on cost and cut-block layout

  7. Interaction of Setting Design Parameters and Human Factors (Perceptions) • Borrow from Market Research Technology • Evaluate perceptual mapping of loggers through market research • Use the above information to develop utility values for setting design

  8. Methodes • Pilot study - survey of logging engineers, identified initial 108 cost variables • Construct initial survey with 20 variables • Use of focus groups to establish critical factors of setting design and to develop questionnaire - 14 variables • Use of interviews and questionnaires, 480 loggers polled, with 120 returns • Factor analysis and conjoint study • Follow-up with interviews

  9. Harvest Cost Variables as Identified by Loggers for Three Silvicultural Systems and two Harvest Systems • Harvest Cost Variables Cable System Ground-based System • Silvicultural systems • Clearcut • Aggregated STR • Dispersed STR

  10. Size of Timber (average scaling diameter Payload (pieces/turn Total Harvest Volume Topography (from even to broken) Slope Yarding Distance (500-1000 ft) Yarding Distance (>1000 ft) Stand Density (Trees/acre) Uphill Yarding Downhill Yarding Equipment (types & amount) Labor (Demand) Skill (Experience and Education Haul Distance (from Landing to Mill) The 14 harvest cost variables as identified by loggers for three silvicultural systems and two harvest systems

  11. Utility Values for Yarding Distance and Direction

  12. Utility Values for Three Silvicultural Systems

  13. Application of the Study to a Cut-Block Design • Utility values can be transformed into design criteria • Cut-Blocks can be compared on a quantitative basis • The relative merit of one design over another can be evaluated

  14. Applying the Utility Values to Three Cable Settings

  15. The Setting Utility for Three Cable Settings for a Clearcut Scenario

  16. Applying the Utility Values to Three Cable Settings

  17. Comparing Three Clearcut Units

  18. Comparing Three Cable Units with Different Silvicultural Systems

  19. Conclusions • Market Research Technology is an Important Tool to Bring Psychometric Data into the Forest Engineering Field • Through Market Research, Human Factors can be Brought into the Cut-Block Design - Loggers’ Perceptions about Cut-Block Layout

  20. Conclusions • Loggers’ Perception about Cut-Block Layout is an important Step in Understanding the Implications of Alternative Silvicultural Systems on Harvest Costs and Productivity

More Related