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
Hilde Margrethe HelgesenSammendrag
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Forfattere
Hilde Margrethe HelgesenSammendrag
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Forfattere
Aksel Granhus Ulrika Jansson Kjersti Holt Hanssen Jørund Rolstad Ignacio Sevillano Ken Olaf StoraunetSammendrag
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Forfattere
Heikki Korpunen Yrjö Nuutinen Paula Jylhä Lars Eliasson Aksel Granhus Juha Laitila Stephan Hoffmann Timo MuhonenSammendrag
• Overall forest management objectives and stand properties set the requirements and possibilities for harvesting in continuous cover forestry (CCF). • Harvester and forwarder operators play a key role in successful CCF harvesting, as both productivity and quality of work are essential factors in harvesting operations. • Optimal stand conditions improve work productivity on selection harvesting sites; harvested stem volume correlates well with work productivity in cutting, and density of remaining trees does not significantly reduce work productivity in forwarding. • Carefully executed group cutting and shelterwood harvesting can reduce the number of damaged remaining trees, which is beneficial for future tree generations. • Research-based information is needed about work productivity in harvesting, damage caused by harvesting, and optimisation of strip road and forest road networks for CCF.
Sammendrag
1. Field-based vegetation mapping is important for environmental assessments.Often, the area covered by a species is estimated visually within a reference frame.However, such assessments are prone to observer bias and a large variability. 2. We developed a deep learning pipeline relying on YOLOv8 models to segmentspecies and estimate the percentage cover (%) of Vaccinium myrtillus (blueberry)and Vaccinium vitis-idaea (lingonberry), two key understory species in borealforests. We used 138 nadir and downward-looking images of the forest floorcaptured in correspondence with 50 × 50 cm vegetation sub-plots assessedwithin National Forest Inventory (NFI) plots. First, we trained a bounding-boxframe detection model to crop the image to the same area assessed in the field.Second, we trained an instance segmentation model to classify species. Third,we flattened the class values into a semantic raster and estimated the species-specific cover by pixel counting. 3. We evaluated our method against an independent test set of 156 images andfound a root mean squared error (RMSE) of 8.82% for blueberry and 3.49% forlingonberry and no substantial systematic errors. An additional comparison withocular estimation by various field workers for the same plots showed that themodel estimates were within the range of estimates by field workers 8 out of 9times for blueberry and 7 out of 9 times for lingonberry. 4. The developed method shows promise in reducing observer bias and variabilityin vegetation surveys, thereby improving their consistency while significantlyreducing the time needed for species-specific coverage estimation. This isparticularly beneficial for repeated measurements and monitoring vegetationcover dynamics. However, as the method relies on RGB data, it is limited toestimating the percentage of visible species that are not obscured by others.Expanding the method to include a broader range of cover classes (e.g. grasses,rocks, logs) or species could automate the capture of crucial information
Forfattere
Ararsa Derese Seboka Lu Feng John Morken Muyiwa S. Adaramola Getachew Birhanu Abera Gebresilassie Asnake EwunieSammendrag
The growing hotel and education sectors in Ethiopia face increasing waste and energy demands, necessitating effective waste management and energy use strategies. This study is aimed to investigates biowaste production and energy consumption in hotels and university campuses in Southern Ethiopia, focusing on sustainable solutions for reducing environmental impacts. A mixed-methods approach, including surveys and onsite measurements, were used to assess energy consumption, biowaste generation, and management practices. A stratified purposive sampling was employed to select institutions, and both descriptive and inferential statistics, including time series analysis, multiple regression models, were applied; the environmental footprint of energy sources and energy potentials of biowastes were quantified following the guidelines set by the Intergovernmental Panel on Climate Change (IPCC).The study found that the primary energy sources for both sectors are electricity, natural gas/LPG, diesel fuel, fuelwood, and charcoal, with electricity being the dominant source. Hotels exhibit a consistent increase in energy consumption from 2016 to 2023, driven by tourism and service expansion, while university campuses show more fluctuating trends influenced by student enrollment and policy changes. Both sectors generate substantial biowaste annually—over 588 tons from hotels and 1448 tons from campuses—comprising food, fruit, vegetable and animal waste. However, waste management practices are often inadequate, with open dumping being common and the lack of energy recovery or treatment systems. The study quantified the greenhouse gas (GHG) emissions, found that non-electric energy sources such as oil fuels and firewood contribute significantly to CO2 emissions. In 2023, oil fuels accounted for 15,474.2 tonnes of CO2e, and firewood generated 130,377.2 tonnes CO2e, highlighting the need for cleaner energy alternatives to reduce emissions and reliance on carbon intensive energy sources.
Forfattere
Adrian Unc Majdi R. Abou Najm Paul Eric Aspholm Tirupati Bolisetti Colleen Charles Ranjan Datta Trine Eggen Belinda Eline Flem Getu Hailu Eldbjørg Sofie Heimstad Margot Hurlbert Meriam Karlsson Marius Støylen Korsnes Arthur Nash David Parsons Radha Sivarajan Sajeevan Narasinha J. Shurpali Govert Valkenburg Danielle Wilde Bing Wu Sandra F. Yanni Debasmita MisraSammendrag
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