Land expectation values for spruce and beech calculated with Monte Carlo modelling techniques
Introduction
Using the Faustmann formula (Faustmann, 1849), it is possible to assess a potential purchaser's willingness to pay for bare land which then can be used for forestry. It also provides a basis for finding the optimum thinning concept and rotation period of a forest stand, at a given site for a given constant interest rate and for constant timber prices and harvesting costs. Today, the Faustmann formula is still internationally acknowledged as the first scientific approach for calculating the optimum rotation period of a forest (Samuelson, 1976, Pertz, 1983). The Faustmann formula can be written as:where B0=land expectation value; Au=harvesting yield at the end of the rotation period; u=length of rotation period; Da=thinning yields at the age a; i=interest factor; c=costs for replanting; and V=capital for administration.
However the Faustmann formula and its usage has also been criticised. It has been argued that the application of the Faustmann formula leads to the non-sustainable exploitation of forests. This criticism was disputed earlier in Endres (1919). Another criticism is that the Faustmann formula only takes into account profits from the sale of timber and ignores other economic benefits. But these benefits, are harder to assess and calculate. The fundamental criticism however, is that the design of the Faustmann formula is based on steady state assumptions: As it can be seen in Eq. (1), forest growth, harvesting concepts, roundwood prices, costs and interest rates are considered as constants for the whole time-span (Samuelson, 1976, Pertz, 1983). Particularly the assumption that all future payments and repayments will remain constant (the amount and the period of payment), leads to the rejection of the Faustmann formula to calculate the optimum land rent in Germany (Dieterich, 1950).
In this paper a modified model is used to calculate the land expectation values. The improvement consists of the inclusion of a risk factor for natural damages and the economic consequences thereof. In this example of spruce and beech stands and for a specific region in southern Germany, the risk of natural stand damage and the subsequent effect of declining roundwood prices is integrated into the simulation of land expectation values. After the storm damage in 1990 in southern Germany, a great number of forest enterprises replanted the damaged areas with broad-leafed trees because they are less at risk than conifers. However, when natural risks are not considered in forest economic analysis, conifers are usually more advantageous than broad-leafed trees. The study will show whether the planting of broad-leafed trees instead of conifers to increase the stability of the stand, can also be recommended from an economic point of view.
Section snippets
Database and methodological approach
The study is based on growth data for a specific region in southern Germany. The region is characterised by the following climatic and site data (Table 1). The site characteristics of the region show favourable growth conditions (Table 1). Using German yield tables, the yield class is the highest in Germany [productivity index: top height 40 m at an age of 100 years (Assmann and Franz, 1963)] for spruce and more than yield class I.0 (moderate thinning, Wiedemann, 1957) for beech. It must be
Simulation model
The Faustmann formula delivers the net present value of an afforestation, estimated with payments for infinite time. A simulation, however requires a finite time horizon. As long-term financial projections influence net present values only marginally, a simulation over a sufficiently long period of time will lead to almost the same results as an analysis for infinite time. In this case a simulation time-span of 1000 years is considered to be adequate. A diagram of the simulation model is shown
Land expectation values without consideration of risk
Before the impact of risk on land expectation values can be assessed, it is necessary to compute the risk-free land expectation values as a reference. By comparing these respective values, with and without the influence of natural catastrophes, it is possible to assess whether spruce and beech are to be maintained or whether their relative advantages regarding the net present value change when uncertainty as part of the reality is included and reflected in the decision model.
Fig. 6 shows the
Conclusions
In this study, the question as to whether beech stands can reach higher land expectation values than spruce stands when the risks of storm and insect damage are considered, has been examined. The study is based on growth data for spruce and beech stands in a specific region of southern Germany. This site is characterised by very good growth conditions for both spruce and beech stands. This allows for the transfer of the results only to other regions with comparable soil and climate conditions.
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