Publikasjoner
NIBIOs ansatte publiserer flere hundre vitenskapelige artikler og forskningsrapporter hvert år. Her finner du referanser og lenker til publikasjoner og andre forsknings- og formidlingsaktiviteter. Samlingen oppdateres løpende med både nytt og historisk materiale. For mer informasjon om NIBIOs publikasjoner, besøk NIBIOs bibliotek.
2023
Sammendrag
Det er ikke registrert sammendrag
Sammendrag
Det er ikke registrert sammendrag
Sammendrag
Det er ikke registrert sammendrag
Sammendrag
Det er ikke registrert sammendrag
Sammendrag
Det er ikke registrert sammendrag
Sammendrag
Denne rapporten gir en oversikt over tilstanden i skog som var vernet per. 1.1.2021. Datamaterialet som er utgangspunktet for rapporten er registreringer gjennomført av Landsskogtakseringen, gjennom «Overvåkingsprogrammet for skog i verneområder». Registreringene er utført i løpet av femårsperioden 2017-2021. Utvalgte resultater: • Vernet skog omfattet per 1.1. 2021 totalt 592 481 ha, tilsvarende 4,9 prosent av det totale skogarealet. • 3,7 prosent av den produktive skogen, og 7,9 prosent av den uproduktive skogen i landet finnes i vernet skog, der skogbruk ikke er tillatt. • I produktiv skog er andelen skogareal i klassene middels og høy+ svært høy bonitet underrepresentert samlignet med skogen generelt. • Skogen i verneområder er generelt eldre og har en større andel skog i senere utviklingstrinn. Biologisk gammel skog etter Landsskogtakseringens definisjon utgjør nærmere tre ganger så høy andel i den produktive delen av vernet skogareal som i produktiv skog totalt. • Det stående volumet i verneområdene utgjør 4,1 prosent av totalt stående volum. • Gjennomsnittlig tilvekst i skog som var vernet per 1.1.2016 er lavere enn gjennomsnittet for skog generelt. • Vernet skog inneholder mer volum død ved per hektar i gjennomsnitt enn øvrig skog. • I produktiv skog er MiS-livsmiljøene “liggende dødved” og “stående dødved”, samt “gamle trær” vanligere i verneområdene. For uproduktiv skog er “gamle trær” vanligere. I tillegg presenteres resultater som viser hvordan den vernede skogen har utviklet seg siden forrige taksering, som ble gjennomført 2012-2016.
Forfattere
Inger Martinussen Mathias Amundsen Aksel Granhus Antje Gonera Marius Hauglin Anne Linn Hykkerud Laura Jaakola Mikko Kurttila Jari Miina Rainer Peltola Gesine Schmidt Josefine Skaret Baoru Yang Kjersti AabySammendrag
Almost 95% of the area in Norway is wilderness and 38% of the land area is covered by woods. These areas are abundant in valuable renewable resources, including wild berries. In our neighbouring countries, Sweden and Finland, wild berries are already a big industry. At the same time, on the market the Norwegian wild berries are almost non-existent and berries are left unexploited. Lingonberry (Vaccinium vitis-idaea) is one of the most abundant and economically important wild berries in the Nordic countries. Nevertheless, lingonberry has a large untapped potential due to its unique health effects and potential for increased value creation. It is estimated that 111,500 t of lingonberry are produced in the Norwegian woods. Norway is a long and diverse country with a range of climatic conditions. Adaptations to different conditions can give differences in both yield and quality of wild berries. Yields vary enormously from year to year and among different locations. A steady supply, predictable volumes and high quality are vital for successful commercialization of wild berries. To increase the utilization of berries, there is a need for increased knowledge regarding availability and quality variation of the berries. In addition, the Norwegian market suffers from high labour costs and cannot compete in product price. Innovative solutions and new knowledge on quality aspects can open possibilities for value creation. Toward achieving this goal, we have created a project called “WildBerries”, the main objective of which is to produce research-based knowledge that will create the basis for increased commercial utilization of Norwegian wild berries.
2022
Sammendrag
Management of Scots pine (Pinus sylvestris L.) in Norway requires a forest growth and yield model suitable for describing stand dynamics of even-aged forests under contemporary climatic conditions with and without the effects of silvicultural thinning. A system of equations forming such a stand-level growth and yield model fitted to long-term experimental data is presented here. The growth and yield model consists of component equations for (i) dominant height, (ii) stem density (number of stems per hectare), (iii) total basal area, (iv) and total stem volume fitted simultaneously using seemingly unrelated regression. The component equations for stem density, basal area, and volume include a thinning modifier to forecast stand dynamics in thinned stands. It was shown that thinning significantly increased basal area and volume growth while reducing competition related mortality. No significant effect of thinning was found on dominant height. Model examination by means of various fit statistics indicated no obvious bias and improvement in prediction accuracy in comparison to existing models in general. An application of the developed stand-level model comparing different management scenarios exhibited plausible long-term behavior and we propose this is therefore suitable for national deployment.
Sammendrag
Stand-level growth and yield models are important tools that support forest managers and policymakers. We used recent data from the Norwegian National Forest Inventory to develop stand-level models, with components for dominant height, survival (number of survived trees), ingrowth (number of recruited trees), basal area, and total volume, that can predict long-term stand dynamics (i.e. 150 years) for the main species in Norway, namely Norway spruce (Picea abies (L.) Karst.), Scots pine (Pinus sylvestris L.), and birch (Betula pubescens Ehrh. and Betula pendula Roth). The data used represent the structurally heterogeneous forests found throughout Norway with a wide range of ages, tree size mixtures, and management intensities. This represents an important alternative to the use of dedicated and closely monitored long-term experiments established in single species even-aged forests for the purpose of building these stand-level models. Model examination by means of various fit statistics indicated that the models were unbiased, performed well within the data range and extrapolated to biologically plausible patterns. The proposed models have great potential to form the foundation for more sophisticated models, in which the influence of other factors such as natural disturbances, stand structure including species mixtures, and management practices can be included.
Sammendrag
Det er ikke registrert sammendrag