Abstract

The landscape perspective has come to play an important role in efforts to achieve sustainable forestry, especially regarding the protection of biodiversity. However, introducing such a perspective in forestry planning can be difficult in areas where forestry is dominated by non-industrial private forest (NIPF) owners, such as southern Sweden. In this part of Sweden most of the biodiversity values are associated with deciduous trees, and forest owners as well as society have expressed an interest in increasing the proportion of these tree species. The major objective of the thesis is to achieve a better knowledge and understanding of the problems and possibilities of forest landscape management in southern Sweden. This was approached by addressing problems concerning the setting aside of forest areas, assessment of biodiversity and strategies for increasing the amount of deciduous trees in the landscape. In the thesis it was concluded that, in two investigated landscapes, a common view existed among the NIPF owners regarding what areas to voluntarily set aside from commercial forestry. It was suggested that such a common view could be the basis of a planning process involving a landscape perspective in areas with NIPF ownership. The process of setting aside areas for biodiversity purposes was scrutinised. It was argued that in areas dominated by NTPF ownership this could be done in a more efficient way if a system for cooperation over the borders of estates was introduced. Tn the search for methods to assess biodiversity, stand characteristics interpreted in colour-infrared aerial photographs was correlated to the occurrence of epiphytic lichens in a landscape. Tt was concluded that this methodology could be a useful tool for achieving landscape-covering data on forest biodiversity. Finally, a simulation study of different strategies for increasing the proportion of deciduous trees was performed in two different forest landscapes

Keywords

Case study; red-listed species; nature conservation; timber production; retention trees; logistic regression; projection model

Published in

Acta Universitatis Agriculturae Sueciae. Silvestria
2002, number: 248
ISBN: 91-576-6332-7
Publisher: Swedish University of Agricultural Sciences

SLU Authors

• Ask, Peter

  • Southern Swedish Forest Research Centre, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Forest Science


Permanent link to this page (URI)

https://res.slu.se/id/publ/107396