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
Sammendrag
Prosjektet har utviklet et operativt overvåkingssystem for naturtypen kystlynghei, med mål om å sikre arealrepresentative data om tilstand og utbredelse på nasjonalt og regionalt nivå. Systemet bygger på uttestinger i felt i Trøndelag og Nordland, og metodikken kombinerer tolkninger av historiske flyfoto og feltarbeid for å identifisere og å samle inn data for naturtypen. Metodikken er lagt så nært metodikken i Arealrepresentativ naturovervåking (ANO) som mulig, for å sikre datakompatibilitet mellom systemene. Rapporten gir en forklaring av metodiske valg, utvalgsstrategier og erfaringer fra testing av variabler. Det er utarbeidet en feltprotokoll som sikrer datainnsamling på rute-, sirkel- og polygonnivå, og leveransen inkluderer utvelgelse av overvåkingsflater med tilhørende forkastningsregler og erstatningsflater.
Forfattere
Maria Åsnes Moan Stefano Puliti Rasmus Astrup Ole Martin Bollandsås Terje Gobakken Maciej Wielgosz Hans Ole Ørka Lennart NoordermeerSammendrag
Abstract The site index (SI) describes a site’s potential to produce wood volume. Accurate information on SI in young forests is essential for planning thinning operations and projecting future growth and yield. For tree species that form annual branch whorls, information on interwhorl distances along the stem may be used to determine the SI in young forests. Branch whorls, and consequently tree height growth trajectories, can be detected automatically using deep learning on very dense laser scanning data. In the current study, we demonstrate this approach in a case study in a young Norway spruce forest. We trained a pose estimation Convolutional Neural Network and detected branch whorls of 97 dominant trees in 54 plots scanned with mobile laser scanning data. We predicted SI determined from detected branch whorls in three different sections of each tree, selected in the stem height range between 2.5 and 8 m: all whorls, the lowest six whorls, and whorls selected with an automatic selection procedure. We compared the obtained SI to the SI determined from field-measured branch whorls. Obtained values of precision, recall, and F1 score for the branch whorl detection were 0.66, 0.58, and 0.62, respectively. Values of root mean square error and mean differences between reference and predicted SI ranged between 19.8%–20.9% and −3.6%–4.0%, respectively. Although the tested approach showed potential for SI determination in young forests, the obtained errors were large. This was due to detection errors and high sensitivity to small changes in height increment. These issues highlight the need for further research to improve branch whorl detection accuracy and address challenges associated with determining the SI in young forests.
Forfattere
Jingwei Li Min-Rui Wang Zhibo Hamborg Dag-Ragnar Blystad Gayle Volk Jean Carlos Bettoni QiaoChun WangSammendrag
Rapid population growth poses a major challenge to global food security. Promoting sustainable agricultural production is necessary to ensure the global food security. Horticultural plants are a high-valued part in agricultural production. Virus and viroid diseases have long been a key factor limiting the horticultural production. Cultivation and distribution of pathogen-free plants is currently the most efficient practice for managing virus and viroid diseases, and their spread in the landscape. Cryotherapy-based methods are recently developed novel biotechnologies for the efficient production of pathogen-free plants. This review outlines updated information on the development and advances in cryotherapy-based methods for efficiently eradicating viruses and viroids in horticultural plants. Mechanisms underlining cryotherapy-based methods for improved pathogen eradication are discussed, and suggestions for further studies are proposed.
Forfattere
Jiunn Luh Tan Igor Koloniuk Ondřej Lenz Jana Veselá Jaroslava Přibylová Rostislav Zemek Josef Špak Radek Čmejla Jiří Sedlák Dag-Ragnar Blystad Zhibo Hamborg Jana FránováSammendrag
Although global raspberries production has grown in the past decade, it remains threatened by plant viruses. This study surveyed raspberry viruses and associated arthropods in the Czech Republic between 2021 and 2022 across five regions. A total of 257 plant and 151 arthropod samples were tested using RT-(q)PCR for 12 viruses listed in the EPPO Certification scheme, plus raspberry leaf blotch virus (RLBV) and a novel virus, tentatively named raspberry-associated virus A (RaVA). Raspberry bushy dwarf virus (RBDV) was most prevalent (51.8%), followed by black raspberry necrosis virus (BRNV, 42.0%) and raspberry leaf mottle virus (RLMV, 28.4%). Four viruses—arabis mosaic virus, apple mosaic virus, strawberry latent ringspot virus, raspberry ringspot virus—were not detected. RBDV was also identified in Sambucus nigra, a new host, while mixed RLBV and RaVA infection was found in wild Rubus occidentalis. RLBV was experimentally transmitted to Nicotiana occidentalis 37B in the presence of Phyllocoptes gracilis. Seven of 39 arthropod species carried viruses, but only two—Amphorophora rubi idaei and Aphis idaei—are known vectors. PCR amplicons from 92 isolates were sequenced, revealing high variability in several viruses. These findings offer new insights but highlight the need for continued monitoring and research.
Forfattere
Oskar PuschmannSammendrag
Det er ikke registrert sammendrag
Forfattere
Oskar PuschmannSammendrag
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Forfattere
Oskar PuschmannSammendrag
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Forfattere
Oskar PuschmannSammendrag
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Forfattere
Oskar PuschmannSammendrag
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Sammendrag
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