Timber harvesting versus forest reserves—producer prices for open-use areas in German beech forests ( Fagus sylvatica L.)

Abstract

A strong demand for nature conservation can be ascertained in Germany. Several nature conservation groups argue that in order to provide nature conservation in considerable parts of the forest area forestry should sacrifice timber harvesting. For example, the abandoning of harvesting altogether is supposed to enhance and protect the species richness. This fact and the very low profitability of forestry in Germany motivated the writing of this paper. The paper explains a methodology for deriving producer prices involved in forest reserves, where harvest benefits are sacrificed totally. Such methodology can be useful to form a basis for private contracts between forest owners and nature conservationists, who demand forest reserves. The results of this methodology can also be integrated in financial programs for species and habitat conservation. In a basic theoretical consideration, it is demonstrated that a stand-by-stand evaluation approach may only serve as an initial step in deriving compensation prices for forest reserves. Due to the stochastic character of forest management, a nonlinear programming approach (NLP) was adopted to find an optimal operational plan for a hypothetical beech ( Fagus sylvatica L.) forest. In both the constraints and the objective function, the nonlinearity is considered by integrating stochastic components. Additionally, only virtual homogenous forest reserves are considered. Firstly, a basic NLP solution for the hypothetical forest with the objective “maximise the net present value (NPV) of timber harvests adjusted to risk” was obtained when considering several constraints subject to stochastic variation of net revenues and timber harvests without considering forest reserves. Secondly, other solutions allowing for forest reserves were computed. The decrease of the objective function when forest reserves were increased in periodic increments seemed well suited to mirror the opportunity costs of forest reserves. The results showed that a stand-by-stand approach gave much greater compensation prices than the NLP approach. The reason for this lay in the consideration of a nonlinear objective function as well as the nonlinear constraints in the case of NLP. The first 42-ha forest reserve was priced at 11,494 Euro/ha or, 483 Euro/ha/year expressed in infinite yearly compensation. The yearly compensation price for the last forest reserve had an increase up to 607 Euro/ha/year. A stand-by-stand approach, however, resulted with compensation prices from minimally 609 up to maximally 709 Euro/ha/year. Various interest rates (3.2% and 5.2%) caused different compensation price curves. The slope of the curves increased when the interest rate decreased. The limits of the approach, the problem of deriving a demand for forest reserves and the opportunities for applying the presented approach to state forests are discussed.