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Effects of using certain tree species in forest regeneration on volume growth, timber yield, and carbon stock of boreal forests in Finland under different CMIP5 projections

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Date
2018
Author(s)
Alrahahleh, L
Kilpeläinen, A
Ikonen, V-P
Strandman, H
Asikainen, A
Venäläinen, A
Kaurola, J
Kangas, J
Peltola, H
Unique identifier
10.1007/s10342-018-1126-z
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Citation
Alrahahleh, L. Kilpeläinen, A. Ikonen, V-P. Strandman, H. Asikainen, A. Venäläinen, A. Kaurola, J. Kangas, J. Peltola, H. (2018). Effects of using certain tree species in forest regeneration on volume growth, timber yield, and carbon stock of boreal forests in Finland under different CMIP5 projections.  EUROPEAN JOURNAL OF FOREST RESEARCH, [Epub ahead of print 21 June 2018], 1-19. 10.1007/s10342-018-1126-z.
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© Springer-Verlag GmbH Germany
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Abstract

We studied how the use of certain tree species in forest regeneration affected the volume growth, timber yield, and carbon stock of boreal forests in Finland under the current climate (1981–2010) and recent-generation global climate model (GCM) predictions (i.e., multi-model means and individual GCMs of CMIP5), using the representative concentration pathways RCP4.5 and RCP8.5 over the period 2010–2099. Forest ecosystem model simulations were conducted on upland national forest inventory plots throughout Finland. In a baseline management regime, forest regeneration was performed by planting the same tree species that was dominant before the final cut. In alternative management regimes, either Scots pine, Norway spruce, or silver birch were planted on medium-fertility sites. Other management actions over rotation were done as in a baseline management. Compared to baseline management, an increased planting of birch resulted in relative sense highest increase in the volume growth, timber yield, and carbon stock in forests in the south, especially under severe climate projections (e.g., multi-model mean RCP8.5, and GCMs such as HadGEM2-ES RCP8.5 and GFDL-CM3 RCP8.5). This situation was opposite for Norway spruce. In the north, the volume growth, timber yield, and carbon stock of forests increased the most under severe climate projections (e.g., multi-model mean RCP8.5 and CNRM-CM5 RCP8.5), regardless of tree species preference. The magnitude of the climate change impacts depended largely on the geographical region and the severity of the climate projection. Increasing the cultivation of birch and Scots pine, as opposed to Norway spruce, could be recommended for the south. In the north, all three species could be cultivated, regardless of the severity of climate change.

Subjects
carbon stock   gap-type forest ecosystem model   forest management   RCP4.5   RCP8.5   timber yield   tree species preference   volume growth   
URI
https://erepo.uef.fi/handle/123456789/6767
Link to the original item
http://dx.doi.org/10.1007/s10342-018-1126-z
Publisher
Springer Nature
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  • Luonnontieteiden ja metsätieteiden tiedekunta [1109]
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