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
Inger MartinussenSammendrag
Norge kan produsere dobbelt så mye frukt og grønt som i dag. Og visste du at norske tomatdyrkere er best i verden?
Forfattere
Inger MartinussenSammendrag
Oppdag hvordan Norge kan doble produksjonen av frukt og grønt. Bli med på den grønne bølgen!
Forfattere
Therese With BergeSammendrag
Det er ikke registrert sammendrag
Sammendrag
Intervju i nyhetssak på nibio.no
Forfattere
Catharina Caspara Vloon Rune Halvorsen Jørn-Frode Nordbakken Adam Eindride Naas Inger Auestad Knut RydgrenSammendrag
Det er ikke registrert sammendrag
Forfattere
Marie-Claude Jutras-Perreault Fride Høistad Schei Julius Wold Terje Gobakken Hans Ole ØrkaSammendrag
Clear-cutting can resemble natural disturbances like forest fire, but key differences exist in biological legacy. One way to enhance similarity is by preserving structural features of old-forests, such as retention trees, within harvested areas. The latest Programme for the Endorsement of Forest Certification (PEFC) standards require not only the preservation of retention trees but also their mapping for centralized reporting. This study evaluates the accuracy of retention tree density and volume predictions using airborne laser scanning (ALS) data with low (2 pulses/m2) and high (~100 pulses/m2) pulse densities, with and without spectral data. We also assess the feasibility of large-area predictions with minimal field data by testing both in-situ and ex-situ sources. The study was conducted in a managed 1300 ha forest in southeast Norway. Three reference datasets were used: (1) 630 in-situ retention trees across 27 stands (for species and DBH predictions), (2) 1604 ex-situ sample trees (for DBH predictions), and (3) 150 ex-situ annotated segments (for species predictions). Retention trees were identified using an individual tree segmentation approach, using adaptive local maxima window size and applying an adaptative height threshold to filter regeneration. ALS at 2 pulses/m2 alone provided reliable total density and volume predictions, while adding spectral data improved species-specific predictions. Species predictions were relatively stable across data source (kappa=0.556 for in-situ, 0.519 for ex-situ), but DBH predictions were notably underpredicted with ex-situ data (RMSE=9.40 cm, MSD=-4.55 cm) compared to in-situ data (RMSE=8.84 cm, MSD=0.20 cm). Using adaptive segmentation methods enhances scalability. We recommend sampling ~40 in-situ retention trees to develop DBH-height models and delineating ex-situ annotated segments for species predictions. This approach balances accuracy and efficiency while enabling retrospective analysis using national ALS datasets and orthophotos.
Forfattere
Johan Sjöström Ragni Fjellgaard Mikalsen Marius Hauglin Frida Vermina Plathner Edvard Aamodt Ana María De Lera Garrido Shafi K. Mohammed Ellen Synnøve Skilbred Kemal Sarp ArsavaSammendrag
Det er ikke registrert sammendrag
Forfattere
Johan Sjöström Ragni Fjellgaard Mikalsen Marius Hauglin Ellen Synnøve Skilbred Frida vermina Plathner Ana María De Lera Garrido Edvard Aamodt Kemal Sarp ArsavaSammendrag
Det er ikke registrert sammendrag
Forfattere
Özgün Candan Onarman Umu Knut Espevig Simeon Rossmann Inger-Lise Akselsen Carl-Henrik Lensjø Alvin Marit Larssen SekseSammendrag
Det er ikke registrert sammendrag
Sammendrag
Reducing diffuse nutrient losses to water bodies remains a major problem in the agricultural areas of the Nordic countries. The transition towards a bioeconomy and ongoing climate change raise questions on the future of water quality and freshwater ecosystems and what kind of adaptation strategies could be implemented to maintain both food and environmental safety. The objective of our study was to evaluate the effectiveness of Natural Soil Water Retention Measures (NSWRMs) under current and future climate conditions in retaining water, soil particles and nutrients within the landscape. The hydro-biochemical model SWAT+ was implemented in the Krakstad catchment in southern Norway using the novel approach developed within the EU H2020 project OPTAIN. This approach enables an improved spatial representation of NSWRMs in the landscape. Available discharge and water quality monitoring data were used as reference data for model calibration. The effectiveness of reduced tillage, grassed waterways, sedimentation ponds established in the forested areas and buffers on water retention and nutrient loads was evaluated. Our simulation results indicate that conservation tillage, which maintains stubble on the soil surface during winter, has the strongest impact on reducing soil and nutrient losses towards surface water bodies. Grassed waterways, established in existing erosion prone gullies, could also significantly contribute to water and nutrient retention within the landscape. The implemented NSWRMs did not appear to increase the soil moisture content in early spring even under future climate conditions, which is an important aspect for ensuring soil trafficability and the timing of sowing spring cereals