•Learn to use timber growth and yield models to simulate development of commercially important timber types •Learn how to determine the appropriate financial criterion for valuation of bare ground timberland as well as existing stands of timberland •Learn how to value timberland investments on a marginal basis •Learn how to identify optimal management regimes for both bare ground timberland and existing stands of timber.at the stand and forest level •Learn how to carry out sensitivity analysis for stand level management plans at the stand and forest level •Learn how operations research methods are used to optimize value of forests while meeting operational/legal constraints
1.Introduction/Overview of Timber Management and Decision Making 2.Information Required for Timber Management decisions a.Timberland owner objectives b.Land base information (maps, GIS) c.Current Timber Inventory Information d.Expected future development of timber inventory for given timber management approaches 3.Projecting timber inventory through time using Growth and Yield Models a.Review/Study of growth and yield relationships and models b.Even aged stands vs un-even aged stands c.SiMS_2003 Growth and Yield Software 4.Organization of large timberland owning organizations a.Integrated Forest Product Companies b.Real Estate Investment Trusts (REITs) c.Timberland Investment Management Organizations (TIMOs) d.Non-industrial private landowners e.Various government organizations 5.Financial Analysis in timber management a.Time value of money b.Net present value (NPV) c.Bare land value (BLV) d.Marginal cash flow analysis 6.Stand-level timber management decision making a.“Optimal” biological rotation b.“Optimal” economic rotation c.Valuation of “bare ground” for timber management d.Valuation of existing timber stands e.Timberland appraisal methods f.Handling taxes in the timberland decision making process g.Sensitivity analysis 7.Forest-level timber management decision making a.Why forest-level planning is necessary b.Area/volume regulation methods c.Linear programming/optimization methods d.Sensitivity analysis