Skip to main content

Dynamic Treatment Units in Eucalyptus Plantation

Buy Article:

$29.50 plus tax (Refund Policy)


The purpose of this study was to test airborne laser scanning-based forest inventory and the use of dynamic treatment units in eucalyptus plantations. Dynamic treatment units are formed by spatial optimization, which aggregates small inventory units. The hypothesis is that the use of dynamic treatment units increases yield and improves the efficiency of forest use. Forest inventory based on airborne laser scanning provides data for small units, which must be aggregated into feasible treatment units. The study area was a Eucalyptus pulpwood plantation in Brazil. Mixed-effects models were constructed for the basal area and dominant height using an area-based method. The plot-level estimates of growing stock characteristics were more accurate than those obtained for the stand level in many previous studies. The study area was divided into hexagons of 300 m2 for which the growing stock characteristics were estimated. A growth simulator was used to produce treatment schedules for the hexagons by varying the rotation length. The production potential of the planning area was examined by maximizing the growing stock volume at the end of the planning period with varying degrees of cutting area aggregation, with an even-flow cutting target for every 1-year period. The use of dynamic treatment units always increased the total volume production, i.e., the sum of harvested and ending volume. Cutting areas formed by spatial optimization often deviated from compartment boundaries.

Keywords: airborne laser scanning; forest inventory; forest planning; spatial optimization

Document Type: Research Article

Publication date: October 1, 2011

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Ingenta Connect is not responsible for the content or availability of external websites

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Partial Open Access Content
Partial Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect 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