Suomen metsät 2004–2008 ja niiden kehitys 1921–2008

Korhonen, Kari T.; Ihalainen, Antti; Viiri, Heli; Heikkinen, Juha; Henttonen, Helena M.; Hotanen, Juha‐Pekka; Mäkelä, Helena; Nevalainen, Seppo; Pitkänen, Juho

doi:10.14214/ma.6025

Cited by 60 publications

(69 citation statements)

References 4 publications

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“…Forest inventory is based on measurements taken from a statistically representative sample of all trees within a forest region -for details of this approach, see Tomppo et al (2011) and LaBau et al (2007). Historical inventory data are available at 5-10 year intervals from Finland (Kuusela, 1972(Kuusela, , 1978Kuusela and Salminen, 1991;Tomppo et al, 2011;Ylitalo, 2013;Korhonen et al, 2013) and decadal intervals from the United States (Smith et al, 2009). We collected data from these published inventories specifically by five regions ( Fig.…”

Section: Methodsmentioning

confidence: 99%

Effects of land management on large trees and carbon stocks

Kauppi¹,

Birdsey²,

Pan³

et al. 2014

Preprint

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Abstract. Large trees are important and unique organisms in forests, providing ecosystem services including carbon dioxide removal from the atmosphere and long-term storage. There is concern about reports of global decline of big trees. Based on observations from Finland and the United States we report that trends of big trees during recent decades have been surprisingly variable among regions. In southern Finland, the growing stock volume of trees larger than 30 cm at breast height increased nearly five-fold during the second half of the 20th century, yet more recently ceased to expand. In the United States, large hardwood trees have become increasingly common since the 1950s, while large softwood trees declined until the mid 1990's as a consequence of harvests in the Pacific region, and then rebounded when harvesting there was reduced. We conclude that in the regions studied, the history of land use and forest management governs changes of tree populations especially with reference to large trees. Large trees affect greatly the carbon density of forests and usually have deeper roots and relatively lower mortality than small trees. An accumulating stock of large trees in forests may have negligible direct biophysical effects on climate because from changes in transpiration or forest albedo. Large trees have particular ecological importance and often constitute an unusually large proportion of biomass carbon stocks in a forest. Understanding the changes in big tree distributions in different regions of the world and the demography of tree populations makes a contribution to estimating the past impact and future potential of the role of forests in the global carbon budget.

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Section: Methodsmentioning

confidence: 99%

Effects of land management on large trees and carbon stocks

Kauppi¹,

Birdsey²,

Pan³

et al. 2014

Preprint

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“…Markgren 1970;Lavsund 1987;Bergqvist et al 2014). For example, National Forest Inventory (NFI) shows moose damage in almost one million hectares in Finland (Korhonen et al 2013). In the most problematic areas, repeated browsing is able to totally prevent the regeneration of forests and in less damaged areas, moose browsing may impair the growth of trees and reduce the quality of sawn timber (Lavsund 1987;Heikkilä and Härkönen 1993;Bergqvist et al 2003).…”

Section: Introductionmentioning

confidence: 99%

Effects of bedrock and surficial deposit composition on moose damage in young forest stands in Finnish Lapland

Ruuhola¹,

Nikula²,

Nivala³

et al. 2016

Silva Fenn.

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Effects of bedrock and surficial deposit composition on moose damage in young forest stands in Finnish LaplandRuuhola T., Nikula A., Nivala V., Nevalainen S., Matala J. (2016). Effects of bedrock and surficial deposit composition on moose damage in young forest stands in Finnish Lapland. Silva Fennica vol. 50 no. 3 article id 1565. 20 p. http://dx.doi.org/10.14214/sf.1565. Highlights• The effect of bedrock and soil on moose damage in forest plantations were examined.• Moose damage were concentrated in nutrient rich bedrock areas.• Bedrock of damaged stands contained a higher proportion of mafic and alkaline rocks.• Pine-dominated stands on fine grained fertile forest sites had the highest damage risk. AbstractThere is evidence that moose are attracted to fertile growth habitats apparently due to better quality and larger quantities of food. The nutrients in mineral soils originate from the weathering of bedrock and the composition of parental bedrock affects the fertility of produced mineral soil, thus affecting also the import of nutrients into the whole food web. We surveyed the connection between moose damage in forest plantations and the composition of bedrock and surficial deposits in Finnish Lapland. We used a database of compensated moose damage in private forests in years 1997−2010. Undamaged stands in National Forest Inventories (NFI) from years 1986-2008 served as a control data and moose-damaged NFI-stands as a reference data. Bedrock and surficial depositions and the location of studied stands in relation to ancient shorelines were explored by using the digital databases of the Geological Survey of Finland. Moose-damaged stands were concentrated in southwestern and east Lapland in the areas of the Peräpohja Schist Belt and Lapland's Greenstone Belt that are both composed of nutrient-rich rocks. The bedrock of damaged stands contained a higher proportion of mafic and alkaline rocks than did the control stands. Moose-damaged stands were pine-dominated and grew in more fertile forest sites than did control stands. Part of pine stands probably located in soils formerly occupied by spruce, which may increase the stands' vulnerability to biotic threats. Especially, there were relatively more moose damage in pine plantations regenerated on fine-grained mineral soils derived from nutrient rich rocks than in less fertile soils.

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“…Trees to be measured on sample plots were selected using restricted angle count sampling, and every seventh tree was measured as a sample tree, as in the NFI9. The stand-level measurements were similar to those in the NFI9, but the growing stock was described in more detail, that is, by tree layers and tree species (Korhonen et al 2013).…”

Section: Field Datamentioning

confidence: 86%

“…The sampling design was similar to that in the NFI9, but the locations of temporary clusters were shifted 1 km north and west from the previous locations (Korhonen et al 2013). Further, the number of sample plots on a cluster was reduced to meet the intensified rotation of the NFIs, which was set to five years.…”

Section: Field Datamentioning

confidence: 99%

Multi-source forest inventory data for forest production and utilization analyses at different levels

Haakana¹

2017

Diss. For.

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National forest inventory (NFI) data are commonly used in national and regional scenario analyses on forest production and utilization possibilities. There is an increased demand for similar analyses at the sub-regional level, and further, to incorporate spatially explicit data into the analyses. However, the fairly sparse network of NFI sample plots allows analyses only for large areas. The present dissertation explored whether satellite imagery, NFI sample plot data and the k nearest neighbour estimation method can be employed in generating spatial forest data for scenario analyses at the local level. The method was first applied in the area of two villages in Eastern Finland to quantify the effects of administrative land use and technical land-form constraints on timber production. Secondly, the impacts of three alternative regional felling strategies on suitable habitat for the Siberian flying squirrel (Pteromys volans) were assessed.As a scenario analysis tool, the Finnish forestry dynamics model MELA was used. Management units for simulations of forest development and management activities were delineated by means of image segmentation and digital maps on restriction areas, and new weights for NFI sample plots, that is, the representativeness in these units, were estimated by means of satellite image data. The performance of different segmentation methods and different spectral features in the estimation were examined. Image segments corresponding to forest stands enabled the use of patch-and landscape-level models in the prediction of suitable habitat.Satellite image-based estimation of new NFI sample plot weights was found to be a feasible method for generating forest data for scenario analyses in areas smaller than is possible with the plot data only, for example, for municipalities. Satellite imagery with large geographic coverage and continuous NFI field measurements provide cost-efficient data sources for versatile impact and scenario analyses at the local level.

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Suomen metsät 2004–2008 ja niiden kehitys 1921–2008

Cited by 60 publications

References 4 publications

Effects of land management on large trees and carbon stocks

Effects of land management on large trees and carbon stocks

Effects of bedrock and surficial deposit composition on moose damage in young forest stands in Finnish Lapland

Multi-source forest inventory data for forest production and utilization analyses at different levels

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