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Publications

NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.

NIBIO's Scientific Publications →

2025

Authors

Lillian Øygarden Marianne Vileid Uleberg Jostein Frydenlund Frøydis Gillund Arne Bardalen

Abstract

Foredrag på NJF Nordic Baltic Symposium

Authors

Anniken Fure Stensrud Åshild Ergon Randi Berland Frøseth

Abstract

Genetically diverse spring wheat and farmers’ mass selection can improve yield stability in organic systems.

Authors

Holger Lange

Abstract

Presentasjon av ICOS klasse 2 stasjon i Hurdal

Authors

Adomaitytė A. Mindaugas Liaudanskas Darius Kviklys Jonas Viskelis Juozas Lanauskas Valdimaras Janulis

Abstract

No abstract has been registered

Authors

Adomaitytė Mindaugas Liaudanskas Sedbare Juozas Lanauskas Darius Kviklys Jonas Viskelis

Abstract

No abstract has been registered

Authors

Adomaitytė Mindaugas Liaudanskas Sedbare Juozas Lanauskas Jonas Viskelis Darius Kviklys

Abstract

No abstract has been registered

Authors

Catharina Caspara Vloon Rune Halvorsen Jørn-Frode Nordbakken Adam Eindride Naas Inger Auestad Knut Rydgren

Abstract

No abstract has been registered

Authors

Marie-Claude Jutras-Perreault Fride Høistad Schei Julius Wold Terje Gobakken Hans Ole Ørka

Abstract

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.

Authors

Johan Sjöström Ragni Fjellgaard Mikalsen Marius Hauglin Ellen Synnøve Skilbred Frida vermina Plathner Ana María De Lera Garrido Edvard Aamodt Kemal Sarp Arsava

Abstract

No abstract has been registered

Authors

Özgün Candan Onarman Umu Knut Espevig Simeon Rossmann Inger-Lise Akselsen Carl-Henrik Lensjø Alvin Marit Larssen Sekse

Abstract

No abstract has been registered