Untitled

Peltola, Heli; Kellomäki, Seppo; Väisänen, Hannu

doi:10.1023/a:1005399822319

Cited by 91 publications

(20 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, the eVect of the increasing risk of damage by pest insects, pathogens, herbivores and winds (see e.g. Peltola et al 1999;Zhang et al 1999;Niemelä et al 2001;Percy et al 2002) should be considered before more realistic projections can be made for future development and amount of carbon in forests.…”

mentioning

confidence: 99%

Carbon sequestration in the growing stock of trees in Finland under different cutting and climate scenarios

Matala

Kärkkäinen

Härkönen³

et al. 2009

Eur J Forest Res

Self Cite

View full text Add to dashboard Cite

In this work the aim was to determine how carbon sequestration in the growing stock of trees in Finland is dependent on the forest management and increased production potential due to climate change. This was analysed for the period 2003-2053 using forest inventory data and the forestry model MELA. Four combinations of two climate change and two management scenarios were studied: current (CU) and gradually warming (CC) climate and forest management strategies corresponding to diVerent rates of utilisation of the cutting potential, namely maximum sustainable removal (Sust) or maximum net present value (NPV) of wood production (Max). In this analysis of Finland, the initial amount of carbon in the growing stock was 765 Mt (2,802 Tg CO 2 ). At the end of the simulation, the carbon in the growing stock of trees in Finland had increased to 894 Mt (3,275 Tg CO 2 ) under CUSust, 906 Mt (3,321 Tg CO 2 ) under CUMax, 1,060 Mt (3,885 Tg CO 2 ) under CCSust and 1,026 Mt (3,758 Tg CO 2 ) under CCMax. The results show that future development of carbon in the growing stock is not only dependent on climate change scenarios but also on forest management. For example, maximising the NPV of wood production without sustainability constraints results, over the short term, in a large amount of wood obtained in regeneration cuttings and a consequent decrease in the amount of carbon in growing stock. Over the longer term, this decrease in the carbon of growing stock in regenerated forests is compensated by the subsequent increase in fast-growing young forests. By comparison, no drastic short-term decrease in carbon stock was found in the Sust scenarios; only minor decreases were observed.

show abstract

mentioning

confidence: 99%

Carbon sequestration in the growing stock of trees in Finland under different cutting and climate scenarios

Matala

Kärkkäinen

Härkönen³

et al. 2009

Eur J Forest Res

Self Cite

View full text Add to dashboard Cite

show abstract

“…In addition, it should be analysed a what kind of supply technology development needs exist concerning logging machinery, transportation fleet and information 30 systems managing and monitoring the raw material flows in the future. These soil frost calculations can be also applied in studying climate change impacts on wind damage risks to forests as soil frost makes trees more resistant for uprooting by anchoring them effectively to the ground (Peltola et al, 1999;Saad et al, 2017). With regard to harvesting logistics, it would be interesting to study also whether clear cutting facilitates the transformation of some peatland stands marked for cutting in winter into stands marked for cutting in summer (Ala-Ilomäki et al 2011, Sirén et al 2013, Laitila et al 2016.…”

Section: Discussionmentioning

confidence: 99%

Projected decrease in wintertime bearing capacity on different forest and soil types in Finland under a warming climate

Lehtonen¹,

Venäläinen²,

Kämäräinen³

et al. 2018

Preprint

Self Cite

View full text Add to dashboard Cite

Abstract. Trafficability in forest terrain is largely determined by ground-bearing capacity and it is thus one of the most important issues in timber harvesting. In winter, the bearing capacity is mainly determined by soil frost. Particularly on peatland 10 forests bearing capacity is poor under unfrozen conditions. The bearing capacity of forest truck roads is similarly affected by ground frost. Already 20 cm thick layer of frozen soil or 40 cm layer of snow on the ground can carry in Finnish forest conditions heavy machines in forest harvesting. In this work, we studied the impacts of climate change on soil frost conditions, and consequently on ground-bearing capacity of soils from the timber harvesting point of view. The number of days with good wintertime bearing capacity was modelled by using a soil temperature model and wide set of downscaled climate model data 15 until the end of the 21st century. The model was optimized for different forest and soil types. The results show that by the mid21st century, the wintertime bearing season length decreases in Finland most likely by about one month. The decrease in soil frost and wintertime bearing capacity will be more pronounced during the latter half of the century when drained peatlands may virtually lack soil frost in most of winters in southern and western Finland. The projected decrease in the bearing capacity, accompanied with increasing demand for wood harvesting from drained peatlands, induces a clear need for the development 20 of new sustainable and efficient logging practices for drained peatlands.

show abstract

“…Hence, changes in snow cover are expected to affect also the amount of wind throw. In particular, late autumn, winter and early spring storms will be more dangerous for the canopy if the soil is not frozen as it used to be in the past (Peltola et al, 1999). The trafficability of the forested terrain may reduce with earlier snowmelt (Kellomäki et al, 2010).…”

Section: Regionmentioning

confidence: 99%

Monitoring changes in forestry and seasonal snow using surface albedo during 1982–2016 as an indicator

et al. 2019

View full text Add to dashboard Cite

The surface albedo time series, CLARA-A2 SAL, was used to study trends in the snowmelt start and end dates, the melting season length and the albedo value preceding the melt onset in Finland during 1982-2016. In addition, the melt onset from the JSBACH land surface model was compared with the timing of green-up estimated from Moderate Resolution Imaging Spectroradiometer (MODIS) data. Moreover, the melt onset was compared with the timing of the greening up based on MODIS data. Similarly, the end of snowmelt timing predicted by JSBACH was compared with the meltoff dates based on the Finnish Meteorological Institute (FMI) operational in situ measurements and the Fractional Snow Cover (FSC) time-series product provided by the EU FP7 CryoLand project. It was found that the snowmelt date estimated using the 20 % threshold of the albedo range during the melting period corresponded well to the melt estimate of the permanent snow layer. The longest period, during which the ground is continuously half or more covered by snow, defines the permanent snow layer (Solantie et al., 1996). The greening up followed within 5-13 days the date when the albedo reached the 1 % threshold of the albedo dynamic range during the melting period. The time difference between greening up and complete snowmelt was smaller in mountainous areas than in coastal areas. In two northern vegetation map areas (Northern Karelia-Kainuu and Southwestern Lapland), a clear trend towards earlier snowmelt onset (5-6 days per decade) and increasing melting season length (6-7 days per decade) was observed. In the forested part of northern Finland, a clear decreasing trend in albedo (2 %-3 % per decade in absolute albedo percentage) before the start of the melt onset was observed. The decreasing albedo trend was found to be due to the increased stem volume.

show abstract

Untitled

Cited by 91 publications

References 20 publications

Carbon sequestration in the growing stock of trees in Finland under different cutting and climate scenarios

Carbon sequestration in the growing stock of trees in Finland under different cutting and climate scenarios

Projected decrease in wintertime bearing capacity on different forest and soil types in Finland under a warming climate

Monitoring changes in forestry and seasonal snow using surface albedo during 1982–2016 as an indicator

Contact Info

Product

Resources

About