FORE643-24S2 (D) Semester Two 2024 (Distance)

Modelling for Forest Management

15 points

Details:
Start Date: Monday, 15 July 2024
End Date: Sunday, 10 November 2024
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 28 July 2024
  • Without academic penalty (including no fee refund): Sunday, 29 September 2024

Description

Approaches to modelling forest growth and yield. Compatible taper and volume functions. Difference equations. Modelling distributions and fitting functions. Estate simulation. Linear programming applications.

Modelling for management is designed for either managers who wish to understand how forest modelling systems are constructed, or for post-graduate students who wish to prepare themselves for research in growth and yield modelling or forest estate modelling.  It covers the theoretical basis for forest modelling, construction of common forms of forest models, and applications of models.  The course can be taken on-line, remotely from anywhere in the world.

Learning Outcomes

  • Knowledge
    Students will gain advanced technical knowledge in:
  • Forest growth and yield measurement techniques
  • Growth & yield modelling
  • Modelling using hybrid physiological/mensurational models
  • Forest estate simulation

    Students will gain a critical understanding of key principles forest modelling at the tree, stand and forest level.

    Skills
    Students will :
  • Be able to evaluate different approaches to collecting data to support forest growth and yield modelling.
  • Be able to create models for projecting growth and yield of trees and stands
  • Be able to conduct estate simulations to support forest estate planning
  • Required to use the acquired knowledge to address complex resource assessment problems.

    Application
    Students will:
  • Be able to integrate measurement techniques, concepts and modelling techniques for growth and yield projection.
  • Be able to simulate the future states of forest estates given varying management strategies.
  • Be able to effectively communicate methods, results and conclusions of these analyses.

Prerequisites

Subject to approval by the Head of School

Lecturer

Euan Mason

Indicative Fees

Domestic fee $1,197.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see School of Forestry .

All FORE643 Occurrences

  • FORE643-24S1 (D) Semester One 2024 (Distance)
  • FORE643-24S2 (D) Semester Two 2024 (Distance)
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