Ståndortsanpassning och produktionspotential för björk i Gävleborgs län

Large amounts of birch-timber are imported to Sweden, from particularly the Baltic States, since the domestic production can’t support the pulp industry. The goal of this study was to show the potential of birch and the area’s most suitable for birch production. The study was limited to Gävleborg Co...

Descripción completa

Detalles Bibliográficos
Autores principales: Gustafsson, Sven, Rudhe, Jacob
Formato: M2
Lenguaje:sueco
Inglés
Publicado: SLU/Dept. of Forest Ecology and Management 2012
Materias:
_version_ 1855570846002708480
author Gustafsson, Sven
Rudhe, Jacob
author_browse Gustafsson, Sven
Rudhe, Jacob
author_facet Gustafsson, Sven
Rudhe, Jacob
author_sort Gustafsson, Sven
collection Epsilon Archive for Student Projects
description Large amounts of birch-timber are imported to Sweden, from particularly the Baltic States, since the domestic production can’t support the pulp industry. The goal of this study was to show the potential of birch and the area’s most suitable for birch production. The study was limited to Gävleborg County. Using site characteristics, site index (SI) for birch was estimated on all National Forest Inventory plots in Gävleborg County. Based on these estimations the site characteristics that gave the highest production for birch was found. To find the highest producing (m3sk ha-1 yr-1) birch sites in Gävleborg County and their size, a GIS-model divided in three classes was created. The birch production was also compared with the production-showing tree species (pine or spruce) on the plot to find the areas where birch best could match their production. The sites where birch had the highest production were low altitude and mesic sites with rich field layer type and slopes, in the southern parts of Gävleborg County. When birch was compared with pine and spruce, the sites where birch best could match their production were: low altitude and mesic sites with poor field layer type and slopes. Compared with pine, birch produced better in the southern parts of Gävleborg County, but that was not the case when comparing birch with spruce. The GIS-analysis showed that 15,4 % of all forested land qualified in class 1, the best class. In class 2, 57,4 % of the forested land was placed, and 27,2 % in class 3 with the lowest production.
format M2
id RepoSLU5440
institution Swedish University of Agricultural Sciences
language swe
Inglés
publishDate 2012
publishDateSort 2012
publisher SLU/Dept. of Forest Ecology and Management
publisherStr SLU/Dept. of Forest Ecology and Management
record_format eprints
spelling RepoSLU54402013-04-22T12:04:15Z Ståndortsanpassning och produktionspotential för björk i Gävleborgs län Site demand adaption and production potential for birch in Gävleborg County Gustafsson, Sven Rudhe, Jacob Betula pendula Betula pubescens ståndortsindex produktion GIS Large amounts of birch-timber are imported to Sweden, from particularly the Baltic States, since the domestic production can’t support the pulp industry. The goal of this study was to show the potential of birch and the area’s most suitable for birch production. The study was limited to Gävleborg County. Using site characteristics, site index (SI) for birch was estimated on all National Forest Inventory plots in Gävleborg County. Based on these estimations the site characteristics that gave the highest production for birch was found. To find the highest producing (m3sk ha-1 yr-1) birch sites in Gävleborg County and their size, a GIS-model divided in three classes was created. The birch production was also compared with the production-showing tree species (pine or spruce) on the plot to find the areas where birch best could match their production. The sites where birch had the highest production were low altitude and mesic sites with rich field layer type and slopes, in the southern parts of Gävleborg County. When birch was compared with pine and spruce, the sites where birch best could match their production were: low altitude and mesic sites with poor field layer type and slopes. Compared with pine, birch produced better in the southern parts of Gävleborg County, but that was not the case when comparing birch with spruce. The GIS-analysis showed that 15,4 % of all forested land qualified in class 1, the best class. In class 2, 57,4 % of the forested land was placed, and 27,2 % in class 3 with the lowest production. Vårt mål med den här studien var att visa att det finns alternativ till trädslagen gran och tall i det svenska skogsbruket. Det finns redan idag ett behov av björk till industrin och därför kändes det passande att skriva om vilka ståndorter som bäst lämpar sig för björkproduktion. Även ämnet ståndortsanpassning är väldigt aktuellt i nuläget och förhoppningsvis kan vårt arbete ge vägledning om vilka marker som björk lämpar sig bäst på. Detta arbete är gjort inom kursen kandidatarbete i skogsvetenskap på jägmästarprogrammet, SLU. Vi vill rikta ett tack till Ulf Johansson, försöksledare på Tönnersjöhedens och Skarhults försöksparker, för hjälp med att förstå regressionsmodellen, Mats Högström, Institutionen för skoglig resurshushållning, för all hjälp med GIS-analysen samt vänner och familj för givande diskussioner och korrekturläsning. SLU/Dept. of Forest Ecology and Management 2012 M2 swe eng https://stud.epsilon.slu.se/5440/
spellingShingle Betula pendula
Betula pubescens
ståndortsindex
produktion
GIS
Gustafsson, Sven
Rudhe, Jacob
Ståndortsanpassning och produktionspotential för björk i Gävleborgs län
title Ståndortsanpassning och produktionspotential för björk i Gävleborgs län
title_full Ståndortsanpassning och produktionspotential för björk i Gävleborgs län
title_fullStr Ståndortsanpassning och produktionspotential för björk i Gävleborgs län
title_full_unstemmed Ståndortsanpassning och produktionspotential för björk i Gävleborgs län
title_short Ståndortsanpassning och produktionspotential för björk i Gävleborgs län
title_sort ståndortsanpassning och produktionspotential för björk i gävleborgs län
topic Betula pendula
Betula pubescens
ståndortsindex
produktion
GIS