Articles containing the keyword 'grouse'

In the method presented in this study, a group of experts evaluate, in a pairwise manner, a set of forest areas with respect to the game species considered. On the basis of these comparisons, relative priorities of forest areas are estimated using the eigenvalue technique. Using regression analysis, a habitat suitability function is estimated in which the priority is predicted by measures already familiar in forest planning. As a case study, a habitat suitability function was estimated for black grouse (Tetrao tetrix, Lururus tetrix L.). The function is applicable in forestry planning carried out using modern planning techniques.

The PDF includes an abstract in Finnish.

• Kangas, E-mail: jk@mm.unknown
• Karsikko, E-mail: jk@mm.unknown
• Laasonen, E-mail: ll@mm.unknown
• Pukkala, E-mail: tp@mm.unknown

In early spring 1968 it was noticed that the black grouses (Lyrurus tetris L.) was eating terminal shoots of Scots pine (Pinus sylvestris L.) seedlings in a tree nursery in Luumäki, Southern Finland. The terminal shoots were picked 1–4 cm from the top of the seedlings. In total some thousands of two-year-old seedlings were damaged. The depth of the snow was 10–15 cm deep and only the tops of the seedlings could be seen above the surface of the snow.

The PDF includes a summary in English.

• Löyttyniemi, E-mail: kl@mm.unknown

Traditional timber production may have negative effects on other ecosystem services. Therefore, new forest management guidelines have been developed in order to enhance a habitat suitable for wildlife. In Finland, a recent example of this is grouse-friendly forest management (GFFM) which emphasises the preservation of grouse species (Tetronidae) habitats. This study aimed to analyse the economic effects of these guidelines. An analysis was made on how the application of GFFM affected the Net Present Value (NPV) in a 30-year simulation of forest management of four large forest holdings located from south to north in Finland. In the simulations, traditional forest management practices were compared to two levels of GFFM. Five levels of interest rate were used, namely 1, 2, 3, 4, and 5%. In most of the simulations, the NPV was reduced by about 1% or less due to the application of GFFM in comparison to the traditional reference forest management. Only in one case with more intensive GFFM, was the reduction of NPV more than 5%. The interest rates had an impact on the differences between the management approaches. For example, a low interest rate resulted in a higher thinning intensity in GFFM in comparison to traditional forest management, which lead to a higher NPV in GFFM. To sum up, it seems that it would be possible to manage forest holdings in a grouse-friendly manner with minor effects on the economics.

• Haara, LUKE https://orcid.org/0000-0002-6895-5300 E-mail: arto.haara@luke.fi
• Matala, Natural Resources Institute Finland, (Luke), Natural resources, Yliopistokatu 6B, FI-80100 Joensuu, Finland E-mail: juho.matala@luke.fi
• Melin, Natural Resources Institute Finland, (Luke), Bioeconomy and environment, Yli opistokatu 6B, FI-80100 Joensuu, Finland E-mail: markus.melin@luke.fi
• Miettinen, Finnish Wildlife Agency, Ratatie 41, FI-91501 Muhos, Finland E-mail: janne.miettinen@riista.fi
• Korhonen, Natural Resources Institute Finland, (Luke), Bioeconomy and environment, Yli opistokatu 6B, FI-80100 Joensuu, Finland E-mail: kari.t.korhonen@luke.fi
• Packalen, Ministry of Agriculture and Forestry, P.O. Box 30, FI-00023 GOVERNMENT, Finland E-mail: tuula.packalen@mmm.fi
• Varjo, Finnish Wildlife Agency, Sompiontie 1, FI-00730 Helsinki, Finland E-mail: jari.varjo@riista.fi

• Miettinen, Finnish Game and Fisheries Research Institute, Finland E-mail: janne.miettinen@rktl.fi
• Helle, Finnish Game and Fisheries Research Institute, Finland E-mail: ph@nn.fi
• Nikula, Finnish Forest Research Institute, Finland E-mail: an@nn.fi
• Niemelä, University of Turku, Dept of Biology E-mail: pn@nn.fi