4.1 Article

Species selection in areas subjected to risk of root and butt rot: applying Precision forestry in Norway

期刊

SILVA FENNICA
卷 56, 期 3, 页码 -

出版社

FINNISH SOC FOREST SCIENCE-NATURAL RESOURCES INST FINLAND
DOI: 10.14214/sf.10732

关键词

growth modelling; Norway spruce; Precision forestry; root and butt rot severity; Scots pine; tree species selection

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资金

  1. Research Council of Norway
  2. [NFR281140]

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This study examines the economic benefits of converting rot-infested Norway spruce stands to Scots pine. It proposes a Precision forestry method to determine the optimal tree species at a pixel level in heterogeneous stands. The findings suggest that shifting to Scots pine is more profitable when rot levels are high, and the method increases net present value in almost every stand.
Norway's most common tree species, Picea abies (L.) Karst. (Norway spruce), is often infected with Heterobasidion parviporum Niemela & Korhonen and Heterobasidion annosum (Fr.) Bref.. Because Pinus sylvestris L. (Scots pine) is less susceptible to rot, it is worth considering if converting rot-infested spruce stands to pine improves economic performance. We examined the economically optimal choice between planting Norway spruce and Scots pine for previously spruce-dominated clear-cut sites of different site indexes with initial rot levels varying from 0% to 100% of stumps on the site. While it is optimal to continue to plant Norway spruce in regions with low rot levels, shifting to Scots pine pays off when rot levels get higher. The threshold rot level for changing from Norway spruce to Scots pine increases with the site index. We present a case study demonstrating a practical method (Precision forestry) for determining the tree species in a stand at the pixel level when the stand is heterogeneous both in site indexes and rot levels. This method is consistent with the concept of Precision forestry, which aims to plan and execute site-specific forest management activities to improve the quality of wood products while minimising waste, increasing profits, and maintaining environmental quality. The material for the study includes data on rot levels and site indexes in 71 clear-cut stands. Compared to planting the entire stand with a single species, pixel-level optimised species selection increases the net present value in almost every stand, with average increase of approximately 6%.

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