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.
2016
Forfattere
Lise Dalsgaard Holger Lange Line Tau Strand Ingeborg Callesen Signe Kynding Borgen Jari Liski Rasmus AstrupSammendrag
Soil organic carbon (C), accumulated over millennia, comprise more than half of the C stored in boreal and temperate forest landscapes. We used the Norwegian national forest inventory and soil survey network (n = 719, no deep organic soils) to explore the validity of a deterministic model representation of this pool (Yasso07). We statistically compared simulated and measured soil C stocks and related differences (measured – simulated) to site factors (drainage, topography, climate, vegetation, C-to-N ratio, and soil classification). Median C stocks were 5.0 kg C·m−2 (model) and 14.5 kg C·m−2 (measurements). Soil C differences related to site factors (r2 of 0.16 to 0.37). For Brunisols, Gleysols, and wet Organic soils, differences related primarily to topographic wetness. For Regosols, Podzols, and Dystric Eluviated Brunisols, they related to climate, profile depth, and, in some cases, drainage class and site index. We argue that soil moisture regimes in our study area overrule tree productivity effects in the determination of soil C stocks and present conditions for soil formation that the model cannot (and does not explicitly) account for. These are processes such as humification and podsolization that involve eluviation and illuviation of dissolved organic C (DOC) with sesquioxides to form spodic B horizons and carbon enrichment due to hampered decomposition in frequently anoxic conditions.
Sammendrag
Det er ikke registrert sammendrag
Forfattere
Even Bergseng Gry Alfredsen Janka Dibdiakova Lone Ross Ivar Gjerde Aksel Granhus Gunnhild SøgaardSammendrag
Skogen har vært, er og vil være en viktig ressurs i Norge. Skogen leverer biomasse til produksjon av en mengde forskjellige varer: bioenergi i mange former, treprodukter til bygningsindustri, papir og papp, og avanserte produkter fra bioraffineringsprosesser. I fremtiden vil trolig trebaserte produkter dekke et enda bredere produktspekter. Tilgangen på biomasse er imidlertid begrenset, selv om bevisst forvaltning kan øke tilgangen utover dagens nivå. Skogen leverer også andre økosystemtjenester, som biodiversitet og friluftsliv, og kan ikke minst spille en rolle i det grønne skiftet. Men optimal forvaltning for klima og næring kan stå i motsetning til optimal forvaltning for andre økosystemtjenester.
Sammendrag
The present study aims to develop biologically sound and parsimonious site index models for Norway to predict changes in site index (SI) under different climatic conditions. The models are constructed using data from the Norwegian National Forest Inventory and climate data from the Norwegian meteorological institute. Site index was modeled using the potential modifier functional form, with a potential component (POT) depending on site quality classes and two modifier components (MOD): temperature and moisture. Each of these modifiers was based on a portfolio of candidate variables. The best model for spruce-dominated stands included temperature as modifier (R2 = 0.56). In the case of pine- and deciduous-dominated stands, the best models included both modifiers (R2 = 0.40 and 0.54 for temperature and moisture, respectively). We illustrate the use of the models by analyzing the possible shift in SI for year 2100 under one (RCP4.5) of the benchmark scenarios adopted by the Intergovernmental Panel on Climate Change for its fifth assessment report. The models presented can be valuable for evaluating the effect of climate change scenarios in Norwegian forests.
Forfattere
Sabine Rosner Saskia Luss Jan Svetlik Kjell Andreassen Isabella Børja Lise Dalsgaard R. Evans Ole Einar Tveito Svein SolbergSammendrag
There is evidence that recently occurring top dieback of Norway spruce (Picea abies (L.) Karsten) tress in southern Norway is associated with drought stress. We compared functional wood traits of 20 healthy looking trees and 20 trees with visual signs of top dieback. SilviScan technology was applied to measure cell dimensions (lumen and cell wall thickness) in a selected set of trunk wood specimens where vulnerability to cavitation (P50) data were available. The wall/lumen ratio ((t/b)²) was a quite good proxy for P50. Cell dimensions were measured on wood cores of all 40 trees; theoretical vulnerability of single annual rings could be thus estimated. Declining trees tended to have lower (t/b)² before and during a period of water deficit (difference between precipitation and potential evapotranspiration) that lasted from 2004 to 2006. The results are discussed with respect to genetic predisposition.
Forfattere
Elena Iordanova Vanguelova Eleonora Bonifacio Bruno de Vos Marcel R. Hoosbeek Torsten W. Berger Lars Vesterdal Kȩstutis E. Armolaitis Luisella Celi Lucian Constantin Dincǎ O. Janne Kjønaas Pavel Pavlenda Jukka Pumpanen Ülle Püttsepp Brian Reidy Primož Simončič Brian Tobin Miglena ZhiyanskiSammendrag
Spatially explicit knowledge of recent and past soil organic carbon (SOC) stocks in forests will improve our understanding of the effect of human- and non-human-induced changes on forest C fluxes. For SOC accounting, a minimum detectable difference must be defined in order to adequately determine temporal changes and spatial differences in SOC. This requires sufficiently detailed data to predict SOC stocks at appropriate scales within the required accuracy so that only significant changes are accounted for. When designing sampling campaigns, taking into account factors influencing SOC spatial and temporal distribution (such as soil type, topography, climate and vegetation) are needed to optimise sampling depths and numbers of samples, thereby ensuring that samples accurately reflect the distribution of SOC at a site. Furthermore, the appropriate scales related to the research question need to be defined: profile, plot, forests, catchment, national or wider. Scaling up SOC stocks from point sample to landscape unit is challenging, and thus requires reliable baseline data. Knowledge of the associated uncertainties related to SOC measures at each particular scale and how to reduce them is crucial for assessing SOC stocks with the highest possible accuracy at each scale. This review identifies where potential sources of errors and uncertainties related to forest SOC stock estimation occur at five different scales—sample, profile, plot, landscape/regional and European. Recommendations are also provided on how to reduce forest SOC uncertainties and increase efficiency of SOC assessment at each scale.
2015
Forfattere
Lars Sandved Dalen Asbjørn Gangstad Knut Ole Viken Erik Sørensen Aksel Granhus Ken Olaf Storaunet Lise Dalsgaard Halvor SolheimSammendrag
300 000 av Norges 11 milliarder trær blir målt for å danne et bilde av skogsituasjonen. Bli med på skogtaksering på Finnmarksvidda!
Forfattere
O. Janne Kjønaas Nicholas Clarke Toril Drabløs Eldhuset Ari Hietala Hugh Cross Kjersti Holt Hanssen Tonje Økland Holger Lange Jørn-Frode Nordbakken Ingvald RøsbergSammendrag
Det er ikke registrert sammendrag
Forfattere
Gunnhild SøgaardSammendrag
Det er ikke registrert sammendrag
Forfattere
Gunnhild SøgaardSammendrag
Det er ikke registrert sammendrag