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.
2013
Forfattere
Daniel Flø Sigmund HågvarSammendrag
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Forfattere
Lampros LamprinakisSammendrag
Changes in the institutional and market environments can present new challenges for organizations. The ability to properly and adequately change and adapt to these new conditions can be crucial for organizations’ competitiveness and their long-term survival. The article offers a qualitative case study analysis on the transformation process of the biggest Finnish dairy organization, Valio, in the light of the country’s accession to the EU. The analysis is based on thirteen personal in-depth semi-structured interviews with management employees, executives, past directors and industry insiders. The examination covers several aspects of the organization’s efforts to adapt with a particular focus on processes, strategies, and transition stages, and thus provides invaluable insight that allows the better understanding of a successful transformation.
Sammendrag
Modelling stem taper and volume is crucial in many forest management and planning systems. Taper models are used for diameter prediction at any location along the stem of a sample tree. Furthermore, taper models are flexible means to provide information on the stem volume and assortment structure of a forest stand or other management units. Usually, taper functions are mean functions of multiple linear or nonlinear regression models with diameter at breast height and tree height as predictor variables. In large-scale inventories, an upper diameter is often considered as an additional predictor variable to improve the reliability of taper and volume predictions. Most studies on stem taper focus on accurately modelling the mean function; the error structure of the regression model is neglected or treated as secondary. We present a semi-parametric linear mixed model where the population mean diameter at an arbitrary stem location is a smooth function of relative height. Observed tree-individual diameter deviations from the population mean are assumed to be realizations of a smooth Gaussian process with the covariance depending on the sampled diameter locations. In addition to the smooth random deviation from the population average, we consider independent zero mean residual errors in order to describe the deviations of the observed diameter measurements from the tree-individual smooth stem taper. The smooth model components are approximated by cubic spline functions with a B-spline basis and a small number of knots. The B-spline coefficients of the population mean function are treated as fixed effects, whereas coefficients of the smooth tree-individual deviation are modelled as random effects with zero mean and a symmetric positive definite covariance matrix. The taper of a tree is predicted using an arbitrary number of diameter and corresponding height measurements at arbitrary positions along the stem to calibrate the tree-individual random deviation from the population mean estimated by the fixed effects. This allows a flexible application of the method in practice. Volume predictions are calculated as the integral over cross-sectional areas estimated from the calibrated taper curve. Approximate estimators for the mean squared errors of volume estimates are provided. If the tree height is estimated or measured with error, we use the “law of total expectation and variance” to derive approximate diameter and volume predictions with associated confidence and prediction intervals. All methods presented in this study are implemented in the R-package TapeR.
Forfattere
Peder Gjerdrum Birger EikenesSammendrag
Strength properties are central for most wood applications. This paper describes variation of and co-variation between various strength parameters observed in clear wood. More than a dozen strength and density parameters were measured, each on ten samples from five different height levels from each of 21 planted, mature spruce trees. In general, strength and coefficient of variation comply with standard listed values. Between strength parameters usually modest, but always positive, correlation was found. Only 53% of the overall strength variation could be extracted in the first principal component, related to density. MOE and MOR are the two most closely correlated traits, and cleavage the one to show weakest connection to all other traits. Compression, MOR and hardness are closest correlated to density; however, the significance of density being partially masked by a considerable variation between samples from similar locations in the stem supposed to demonstrate parallel quality. All traits are stronger correlated to density than to ring width. In addition to density a substantial part, 5 to 30%, of strength variation could be attributed to tree effect, indication a potential for strength improvement by genetic selection. The finding confirms strength parameters to be far from collinear, i.e. strength is truly multidimensional.
Sammendrag
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Forfattere
Felix Herzog Philippe Jeanneret Youssef Ammari Siyka Angelova Michaela Arndorfer Debra Bailey Katalin Balázs András Báldi Marion Bogers Robert Bunce Jean-Philippe Choisis David Cuming Peter Dennis Tetyana Dyman Sebastian Eiter Zoltán Elek Eszter Falusi Wendy Fjellstad Thomas Frank Jürgen Friedel Salah Garchi Ilse Geijzendorffer Tiziano Gomiero Gergely Jerkovich Rob Jongman Max Kainz Esezah Kakudidi Eszter Kelemen Roland Kölliker Norman Kwikiriza Anikó Kovács-Hostyánszki Luisa Last Gisela Lüscher Gerardo Moreno Charles Nkwiine John Opio Marie-Louise Oschatz Maurizio Guido Paoletti Károly Penksza Philippe Pointereau Susanne Riedel Jean-Pierre Sarthou Manuel Schneider Norman Siebrecht Daniele Sommaggio Siyka Stoyanova Erich Szerencsits O. Szalkovski Stella Targetti Davide Viaggi Jerylee Wilkes-Allemann Sebastian Wolfrum Sergiy Yashchenko Tommaso ZanettiSammendrag
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Forfattere
Joachim Paul Spindelbøck Zöe Cook Matthew I. Daws Einar Heegaard Inger Elisabeth Måren Vigdis VandvikSammendrag
Background and Aims: Across their range, widely distributed species are exposed to a variety of climatic and other environmental conditions, and accordingly may display variation in life history strategies. For seed germination in cold climates, two contrasting responses to variation in winter temperature have been documented: first, an increased ability to germinate at low temperatures (cold tolerance) as winter temperatures decrease, and secondly a reduced ability to germinate at low temperatures (cold avoidance) that concentrates germination towards the warmer parts of the season. Methods: Germination responses were tested for Calluna vulgaris, the dominant species of European heathlands, from ten populations collected along broad-scale bioclimatic gradients (latitude, altitude) in Norway, covering a substantial fraction of the species' climatic range. Incubation treatments varied from 10 to 25 °C, and germination performance across populations was analysed in relation to temperature conditions at the seed collection locations. Key Results: Seeds from all populations germinated rapidly and to high final percentages under the warmer incubation temperatures. Under low incubation temperatures, cold-climate populations had significantly lower germination rates and percentages than warm-climate populations. While germination rates and percentages also increased with seed mass, seed mass did not vary along the climatic gradients, and therefore did not explain the variation in germination responses. Conclusions: Variation in germination responses among Calluna populations was consistent with increased temperature requirements for germination towards colder climates, indicating a cold-avoidance germination strategy conditional on the temperature at the seeds' origin. Along a gradient of increasing temperatures this suggests a shift in selection pressures on germination from climatic adversity (i.e. low temperatures and potential frost risk in early or late season) to competitive performance and better exploitation of the entire growing season.
Sammendrag
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Sammendrag
When calculating the Bandt and Pompe ordinal pattern distribution from given time series at depth D, some of the D! patterns might not appear. This could be a pure finite size effect (missing patterns) or due to dynamical properties of the observed system (forbidden patterns). For pure noise, no forbidden patterns occur, contrary to deterministic chaotic maps. We investigate long time series of river runoff for missing patterns and calculate two global properties of their pattern distributions: the Permutation Entropy and the Permutation Statistical Complexity. This is compared to purely stochastic but long-range correlated processes, the k-noise (noise with power spectrum f−k), where k is a parameter determining the strength of the correlations. Although these processes closely resemble runoff series in their correlation behavior, the ordinal pattern statistics reveals qualitative differences, which can be phrased in terms of missing patterns behavior or the temporal asymmetry of the observed series. For the latter, an index is developed in the paper, which may be used to quantify the asymmetry of natural processes as opposed to artificially generated data.
Sammendrag
An 11-year remotely sensed surface albedo dataset coupled with historical meteorological and stand-level forest management data for a variety of stands in Norway’s most productive logging region is used to develop regression models describing temporal changes in forest albedo following clear-cut harvest disturbance events. Datasets are grouped by dominant tree species, and two alternate multiple regression models are developed and tested following a potential-modifier approach. This result in models with statistically significant parameters (p < 0.05) that explain a large proportion of the observed variation, requiring a single canopy modifier predictor coupled with either monthly or annual mean air temperature as a predictor of a stand’s potential albedo. Models based on annual mean temperature predict annual albedo with errors (RMSE) in the range of 0.025–0.027, while models based on monthly mean temperature predict monthly albedo with errors ranging between of 0.057–0.065 depending on the dominant tree species. While both models have the potential to be transferable to other boreal regions with similar forest management regimes, further validation efforts are required. As active management of boreal forests is increasingly seen as a means to mitigate climate change, the presented models can be used with routine forest inventory and meteorological data to predict albedo evolution in managed forests throughout the region, which, together with carbon cycle modeling, can lead to more holistic climate impact assessments of alternative forest harvest scenarios and forest product systems.