Open geospatial data can predict the early field performance of Scots pine, Norway spruce and silver birch seedlings in Nordic boreal forests
2024
Miina, Jari | Salmivaara, Aura | Uotila, Karri | Luoranen, Jaana | Huuskonen, Saija | https://orcid.org/0000-0002-8639-4383 | https://orcid.org/0000-0002-8588-8488 | https://orcid.org/0000-0003-4871-7564 | https://orcid.org/0000-0002-6970-2030 | https://orcid.org/0000-0001-8630-3982 | 4100110310 | 4100110410 | 4100110310 | 4100110310 | 4100110310 | Luonnonvarakeskus
Accurate knowledge of site conditions and their effects on regeneration establishment is important for selecting the most appropriate tree species and regeneration methods for a given regeneration site. This study examined the response of the first-year field performance of Scots pine (Pinus sylvestris L.), Norway spruce (Picea abies (L.) Karst.) and silver birch (Betula pendula Roth.) seedlings in boreal forests to variables available in open forest and natural resources datasets. Survival, height increment and damage of planted tree seedlings and the success of direct seeding of pine were analysed on a total of 284 plots (1000 m2) in 18 regeneration experiments established in 2020–2022 in southern and central Finland. The height increment of silver birch was higher than that of conifers, while the lowest mortality rate was found for spruce. In the generalised linear mixed models, topographic wetness index, soil texture, site type and growing stock at clearcut explained the species-specific survival and height increment of planted seedlings and the success of pine seeding. Low-cost, open geospatial data effectively provide useful details on the site conditions suitable for diversifying tree species composition in boreal forests instead of monocultures.
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