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Timo Pukkala, Jyrki Kangas, Matleena Kniivilä, Anne-Mari Tiainen

Integrating forest-level and compartment-level indices of species diversity with numerical forest planning.

Pukkala T., Kangas J., Kniivilä M., Tiainen A.-M. (1997). Integrating forest-level and compartment-level indices of species diversity with numerical forest planning. Silva Fennica vol. 31 no. 4 article id 5636. https://doi.org/10.14214/sf.a8538

Abstract

The study proposes a technique which enables the computation of user-defined indices for species diversity. These indices are derived from characteristics, called diversity indicators, of inventory plots, stand compartments, and the whole forest holding. The study discusses the modifications required to be made to typical forest planning systems due to this kind of biodiversity computation. A case study illustrating the use of the indices and a modified forest planning system is provided. In the case study, forest-level species diversity index was computed from the volume of dead wood, volume of broadleaved trees, area of old forest, and between-stand variety.

At the stand level, the area of old forest was replaced by stand age, and variety was described by within-stand variety. All but one of the indicators were further partitioned into two to four sub-indicators. For example, the volume of broadleaved trees was divided into volumes of birch, aspen, willow, and other tree species. The partial contribution of an indicator to the diversity index was obtained from a sub-priority function, determined separately for each indicator. The diversity index was obtained when the partial contributions were multiplied by the weights of the corresponding indicators and then were summed. The production frontiers computed for the harvested volume and diversity indices were concave, especially for the forest-level diversity index, indicating that diversity can be maintained at satisfactory level with medium harvest levels.

Keywords
forestry decision-making; biodiversity conservation; environmental planning; simulation; heuristics

Published in 1997

Available at https://doi.org/10.14214/sf.a8538 | Download PDF

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