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
Shaohui Zhang Poul Erik Lærke Mathias Neumann Andersen Junxiang Peng Esben Øster Mortensen Johannes Wilhelmus Maria Pullens Sheng Wang Klaus Steenberg Larsen Davide Cammarano Uffe Jørgensen Kiril ManevskiSammendrag
Under optimal growth conditions, net primary productivity (NPP) is a product of intercepted photosynthetic active radiation (Ipar) and maximum radiation use efficiency (RUEmax; conversion of Ipar to biomass). The objective of this study was to improve and validate the RUEmax-based Carnegie-Ames-Stanford Approach (CASA) for the determination of grassland NPP by canopy multispectral reflectance collected at field (handheld sensor) and airborne (UAV) scale considering environmental constraints. The analysis was based on multi-year field experiments on sandy loam soil in Denmark, measured shoot and estimated root biomass to calculate NPP, long-term meteorological data, and daily NPP estimated from CO2 flux chamber measurements for deriving environmental constraints. The results derived from CO2 flux data showed that NPP and plant respiration were higher in the middle of the season before the second harvest when temperature was also high. The daily maximum air temperature optimal for grass biomass production was 16.5 °C. The improved CASA model built in this study was accurate for modeling NPP at both daily (nRMSE decrease of 9 %) and seasonal (nRMSE decrease of 8–34 %) scales when considering the best environmental constraints such as maximum air temperature, vapor pressure deficit, cloudiness, and water stress, compared to no constraints. Maximum air temperature and water stress were the most important environmental constraints to the grass RUEmax. Seasonal RUEmax for modeling NPP after considering best environmental constraints was 1.9–2.7 g C MJ−1 for ryegrass and 1.9–2.2 g C MJ−1 for grass-legume mixture using the two remote sensors for measuring spectral reflectance. Over the whole growing season, tall fescue (3.1 g C MJ−1) and festulolium (2.9 g C MJ−1) obtained higher RUEmax than perennial ryegrass (2.3 g C MJ−1). This study highlights the practical implications of using the CASA model improved by maximum temperature and water stress functions for real-time, remote sensing-based assessments of grassland productivity.
Sammendrag
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Forfattere
Siri Svendgård-Stokke Eva Solbjørg Flo Heggem Anne B. Nilsen Svein Olav Krøgli Sebastian Eiter Henrik Forsberg Mathiesen Jonathan Rizzi Torgeir Tajet Ole Einar Ellingbø TveitoSammendrag
Det er ikke registrert sammendrag
Sammendrag
Dokumentet presenterer resultatene fra sortstesting av jordbær utført i 2024 ved NIBIOs forskningsanlegg i Tromsø og Apelsvoll. Hensikten med testen var å identifisere jordbærsorter som kombinerer høy avling med god smak og kvalitet, spesielt under de varierende vekstforholdene i Norge. Den største avlingen på engangsbærene sorter ble registrert hos sorten ‘Parlando’, etterfulgt av ‘Sonsation’ og ‘Falco’. Generelt hadde Tromsø høyere andel store bær sammenlignet med Apelsvoll, og det ble registrert lav utsortering av bær. Avlingen for remonterende sorter varierte fra 900 til 1150 g per plante. ‘Aurora Karima’ hadde høyest avling, mens ‘Florice’ og ‘Favori’ også hadde høye avlinger. Smaken av jordbær ble vurdert basert på sukker- og syreinnhold. ‘Jenkka’ og ‘Magnum’ hadde høyest sukkerinnhold, mens ‘Dahli’ og ‘Parlando’ hadde lavere innhold. Bær dyrket i Tromsø hadde generelt bedre smak enn de fra Apelsvoll.
Sammendrag
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Sammendrag
Environmental observation networks, such as AmeriFlux, are foundational for monitoring ecosystem response to climate change, management practices, and natural disturbances; however, their effectiveness depends on their representativeness for the regions or continents. We proposed an empirical, time series approach to quantify the similarity of ecosystem fluxes across AmeriFlux sites. We extracted the diel and seasonal characteristics (i.e., amplitudes, phases) from carbon dioxide, water vapor, energy, and momentum fluxes, which reflect the effects of climate, plant phenology, and ecophysiology on the observations, and explored the potential aggregations of AmeriFlux sites through hierarchical clustering. While net radiation and temperature showed latitudinal clustering as expected, flux variables revealed a more uneven clustering with many small (number of sites < 5), unique groups and a few large (> 100) to intermediate (15–70) groups, highlighting the significant ecological regulations of ecosystem fluxes. Many identified unique groups were from under-sampled ecoregions and biome types of the International Geosphere-Biosphere Programme (IGBP), with distinct flux dynamics compared to the rest of the network. At the finer spatial scale, local topography, disturbance, management, edaphic, and hydrological regimes further enlarge the difference in flux dynamics within the groups. Nonetheless, our clustering approach is a data-driven method to interpret the AmeriFlux network, informing future cross-site syntheses, upscaling, and model-data benchmarking research. Finally, we highlighted the unique and underrepresented sites in the AmeriFlux network, which were found mainly in Hawaii and Latin America, mountains, and at under- sampled IGBP types (e.g., urban, open water), motivating the incorporation of new/unregistered sites from these groups.
Forfattere
Marit Skuterud VennatrøSammendrag
Korncystenematoder er vanlige skadegjørere i korn, som trives spesielt godt der det drives ensidig vekstskifte. Den vanligste arten i Norge er havrecystenematode (Heterodera avenae). Havrecystenematode er påvist i forbindelse med skade i havre, vårhvete, bygg, rug og mais, mens rugcystenematoden i tillegg kan gjøre skade i høstkorn om høsten.
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Sammendrag
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