Estimating the bioenergy potential of forest chips from final fellings in Central Finland based on biomass maps and spatially explicit constraints

Muinonen, Eero; Anttila, Perttu; Heinonen, Jaakko; Mustonen, Jukka

doi:10.14214/sf.1022

Cited by 8 publications

(4 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These remote sensing-based inventories offer invaluable information on forest resources and specifically on the spatial variation and location of the resources. The applications in forest and ecological studies utilizing raster maps are various, including the estimation of bioenergy potential (Muinonen et al 2013), habitat modelling (e.g. Reunanen et al 2002b;Hurme et al 2007;Manton et al 2005;Stighäll et al 2011;Santangeli et al 2013) and the cost-effective selection of reserves for forest biodiversity conservation (Mikusiński et al 2007;Juutinen et al 2008;Vauhkonen and Ruotsalainen 2017).…”

Section: Remote Sensing In Forest Inventorymentioning

confidence: 99%

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

Haakana¹

2017

Diss. For.

View full text Add to dashboard Cite

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.

show abstract

Section: Remote Sensing In Forest Inventorymentioning

confidence: 99%

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

Haakana¹

2017

Diss. For.

View full text Add to dashboard Cite

show abstract

“…With continuing demand growth for biomass and roundwood, it becomes more important to have a good understanding of future biomass and roundwood availability. Geographical information systems (GIS), national forest inventory data and growth models are widely used to estimate available biomass potentials across the globe at a regional, national and local scale (Noon and Daly 1996, Nord-Larsen and Talbot 2004, Castellano et al 2009, Rørstad et al 2010, Yoshioka et al 2011, Bouchard et al 2013, Muinonen et al 2013, Lundmark et al 2015, Fernandez-Lacruz et al 2015.…”

Section: Introductionmentioning

confidence: 99%

Forecasting Future Procurement Potential of Swedish Forest Biomass Using Forest Inventory Data

Kons

Athanassiadis

Agar

2023

Croat. j. for. eng. (Online)

View full text Add to dashboard Cite

In the last 20 years the use of forest biomass for energy production and sawlog and pulpwood production has increased by 68%, 11% and 31% in Sweden. As Sweden is trying to achieve net zero greenhouse gas emissions by 2045, the high demand for biomass can also be expected in future. Therefore, a method to project the amount of spatially available biomass assortments for industries was developed. Available amounts of different forest assortments were estimated and visualised in a web-based tool using forest inventory data and nationwide projection analyses of available biomass for 2035–2039. In this interval, the greatest amount of available biomass and roundwood will be in Northern Sweden. Results also indicate that already existing harvesting intensity is very high compared to the available biomass in the future. The industry can expect noticeably more available biomass in the coming 100 year period. With increased competition between large pulp mills and biorefineries, the supply areas can exceed 200 km to satisfy raw material demand. The long distance and high volume supply chain requirements will demand further improvement in transportation solution nationally and cross-border in the Baltic Sea Region.

show abstract

“…Indeed, several studies have utilized GIS in the estimation of potentials at national, regional, or plant level (see for example Nord-Larsen and Talbot 2004;Rørstad et al 2010;Yoshioka et al 2011;Bouchard et al 2013;Fernandez-Lacruz et al 2015;Castellano et al 2009;Muinonen et al 2013;Lundmark et al 2015;Noon and Daly 1996).…”

Section: Introductionmentioning

confidence: 99%

Regional balance of forest chip supply and demand in Finland in 2030

Anttila¹,

Nivala²,

Salminen³

et al. 2018

Silva Fenn.

Self Cite

View full text Add to dashboard Cite

Highlights• The impact of increasing forest chip demand in 2030 was analyzed in Finland.• Demand of small trees may exceed potential at the national level.• Surplus potential will remain in logging residues and stumps.• Hot spots of demand call for efficient logistical solutions. AbstractAccording to the National Energy and Climate Strategy of Finland in 2016, the demand for forest chips, that is, wood chips made of forest biomass directly for energy use, could even double by 2030 compared to the present situation. A spatially explicit impact analysis of regional supply and demand balances for forest chips was carried out. The balances were calculated as the difference between technical harvesting potentials and demand. First, the technical potentials were estimated based on the national forest inventory data. Secondly, three demand scenarios were defined for 2030 and subsequently deducted from the potentials. The results suggested that there would be increasing competition for feedstock in southern and western Finland, whereas in eastern and northern Finland there would still be surplus potential. Moreover, due to the remarkable deficit of small trees in southern Finland, there might be pressure towards using more pulpwood-sized and/or imported wood in energy production. The results also showed that, in particular, large new plants consuming substantial amounts of forest chips could have a significant effect on the regional availability of forest chips. Moreover, with increasing transport distances, new logistical solutions will be needed.

show abstract

Estimating the bioenergy potential of forest chips from final fellings in Central Finland based on biomass maps and spatially explicit constraints

Cited by 8 publications

References 25 publications

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

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

Forecasting Future Procurement Potential of Swedish Forest Biomass Using Forest Inventory Data

Regional balance of forest chip supply and demand in Finland in 2030

Contact Info

Product

Resources

About