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.
2017
Sammendrag
Estimates of stand averages are needed by forest management for planning purposes. In forest enterprise inventories supported by remotely sensed auxiliary data, these estimates are typically derived exclusively from a model that does not consider stand effects in the study variable. Variance estimators for these means may seriously underestimate uncertainty, and confidence intervals may be too narrow when a model used for computing a stand mean omits a nontrivial stand effect in one or more of the model parameters, a nontrivial spatial distance dependent autocorrelation in the model residuals, or both. In simulated sampling from 36 populations with stands of different sizes and differing with respect to (i) the correlation between a study variable (Y) and two auxiliary variables (X), (ii) the magnitude of stand effects in the intercept of a linear population model linking X to Y, and (iii) a first-order autoregression in Y and X, we learned that none of the tested designs provided reliable estimates of the within-stand autocorrelation among model residuals. More-reliable estimates were possible from stand-wide predictions of Y. The anticipated bias in an estimated autoregression parameter had a modest influence on estimates of variance and coverage of nominal 95% confidence intervals for a synthetic stand mean.
Forfattere
Lars NesheimSammendrag
Det er ikke registrert sammendrag
Forfattere
Anders Nielsen Bjørn Arild Hatteland Martin Malmstrøm Ted von Proschwitz Gaute Velle Hugo de Boer Jan Ove Gjershaug Lawrence R. Kirkendall Eli Knispel Rueness Vigdis VandvikSammendrag
Det er ikke registrert sammendrag
Forfattere
Alessio Cibati Bente Føreid Ajay Bissessur Simona HapcaSammendrag
In this work, experimental and modelling investigations were conducted on biochars pyrolyzed at 350 °C and 600 °C, to determine the effect of pyrolysis temperature, hydrogen peroxide activation and pH on copper and zinc removal, in comparison with commercially available activated carbons. Characterization of biochars was performed by BET surface area, elemental analysis and FTIR spectroscopy. Experiments results demonstrated that biochar pyrolyzed at 600 °C adsorbed both copper and zinc more efficiently than biochar pyrolyzed at 350 °C. Chemical activation by H2O2 increased the removal capacity of biochar pyrolyzed at 350 °C. All investigated biochars showed a stronger affinity for copper retention, with a maximum adsorption capacity of 15.7 mg/g while zinc was 10.4 mg/g. The best adsorption performances were obtained at pH 5 and 6. Langmuir adsorption isotherm described copper adsorption process satisfactorily, while zinc adsorption was better described by Freundlich isotherm.
Sammendrag
Det er ikke registrert sammendrag
Forfattere
Finn-Arne HaugenSammendrag
Det er ikke registrert sammendrag
Forfattere
Finn-Arne HaugenSammendrag
Det er ikke registrert sammendrag
Forfattere
Finn-Arne HaugenSammendrag
Det er ikke registrert sammendrag
Forfattere
Ingrid TengeSammendrag
Det er ikke registrert sammendrag
Forfattere
Ingrid TengeSammendrag
Det er ikke registrert sammendrag