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.
2025
Forfattere
Xiaoge Fan Xiang Cao Min Zhang Jianwu Jiang Caihua Li Ou Fang Wenbing Wang Jin Zhang Nicholas Clarke Wenbo Liu Shengdao ShanSammendrag
Although biochar application is regarded as a promising agronomic strategy to enhance soil functions, research employing quantitative techniques to evaluate its influence on microbial functional genes specifically in paddy soils is still scarce. The objective of this study was to quantify the abundance of microbial functional genes associated with carbon (C), nitrogen (N), phosphorus (P), and sulfur (S) cycling over a 2-year paddy field experiment after biochar application, employing a quantitative metagenomic sequencing with the spike-in method. An increase in rice yield of 7.0% and 12.5% relative to the control was observed following biochar amendment over the 2 study years. The majority of soil microbial functional genes related to C, N, P, and S cycling exhibited higher abundances in soils amended with biochar. Notably, genes associated with the Wood-Ljungdahl pathway, Calvin-Benson-Bassham cycle, and denitrification increased by 18.5%–197.4%, 25.9%–116.0%, and 5.1%–405.3% over 2 years. Gene responsible for P regulators increased approximately 10.5%–109.6%, while the assimilatory sulfate reduction process exhibited an increase of 12.7%–246.0%. Random forest highlighted key biogeochemical processes (e.g., C degradation, tricarboxylic acid cycle, and dissimilatory N reduction) as potential contributors to improving rice yields. Biochar amendment led to the formation of a more complex gene co-occurrence network, as exposed by network analysis. Collectively, these findings underscore that biochar application may consequently enhance microbial functional capacity in paddy soils, fostering improved agroecosystem functions.
Sammendrag
Det er ikke registrert sammendrag
Sammendrag
Det er ikke registrert sammendrag
Sammendrag
Det er ikke registrert sammendrag
Sammendrag
Det er ikke registrert sammendrag
Forfattere
Lennart Noordermeer Terje Gobakken Johannes Breidenbach Rune Eriksen Erik Næsset Hans Ole Ørka Ole Martin BollandsåsSammendrag
Accurate field plot data on forest attributes are crucial in area-based forest inventories assisted by airborne laser scanning, providing an essential reference for calibrating predictive models. This study assessed how sample tree selection methods and plot data calculation methods affect the accuracy of field plot values of timber volume, Lorey’s mean height, and dominant height. We used data obtained from 12 420 circular sample plots of 250 m2, measured as part of the Norwegian national forest inventory and 45 local forest management inventories. We applied Monte Carlo simulations by which we tested various numbers of sample trees, methods to select sample trees, and methods to calculate plot-level values from tree-level measurements. Accuracies of plot values were statistically significantly affected by the number of sample trees, sample tree selection method, and calculation method. Obtained values of root mean square error ranged from 5% to 16% relative to the mean observed values, across the factors studied. Accuracy improved with increasing numbers of sample trees for all forest attributes. We obtained greatest accuracies by selecting sample trees with a probability proportional to basal area, and by retaining field-measured heights for sample trees and using heights predicted with a height-diameter model for non-sample trees. This study highlights the importance of appropriate sample tree selection methods and calculation methods in obtaining accurate field plot data in area-based forest inventories.
Forfattere
Grete StokstadSammendrag
Det er ikke registrert sammendrag
Sammendrag
Det er ikke registrert sammendrag
Sammendrag
Det er ikke registrert sammendrag
Forfattere
Simon BergSammendrag
Det er ikke registrert sammendrag