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.
2026
Sammendrag
Rapporten gir en oversikt over klimarisiko for noen jordbruksproduksjoner i Trøndelag. Basert på forventede endringer i klima er det vurdert både muligheter og utfordringer for korn, grovfôr og grønnsaksproduksjon i Trøndelag. I klimatilpasning er det vektlagt kunnskap om lokalt jordsmonn for tilpasning av drenering, maskiner og jordarbeiding, tilpasning av vekster og agronomisk praksis. This report gives a short overview of climate risk for certain agricultural productions in Trøndelag. Based on expected changes in climate both opportunities and challenges are included for cereal, fodder and vegetable productions. Knowledge about soil and soil quality for adaptation of drainage, soil tillage, machinery and choice of crops and agronomic practice is emphasized.
Sammendrag
Rapporten beskriver resultatet fra jordkartleggingen som er utført i Vågsbotn og Klauvaneset. Resultatene er brukt til å fremskaffe Verdiklasser basert på jordsmonnkart og til å utføre volumberegninger av forskjellige sjikt på areal som blir berørt av utbyggingen i dette området.
2025
Forfattere
Teresa Gómez de la Bárcena Tatiana Francischinelli Rittl Eva Farkas Daniel Rasse Christophe Moni Cédric Plessis Loiuse Malot Helge Meissner Trond Henriksen Randi Berland FrøsethSammendrag
Background and aims Cover crops are an important measure for carbon (C) sequestration in agriculture. However, little is known about the potential of cover crops to increase C under Nordic conditions and the efficiency of this measure over time. Here, we quantify the potential contribution of different cover crops to soil organic carbon (SOC) and organic matter fractions, and study how this is affected by the origin of the C input (aboveground or belowground residues). Methods We conducted a 13 CO 2 pulse-labelling experiment during the growing season of four cover crops adapted to Nordic conditions, representing different plant functional types. The assimilated 13 C was traced in soil during the following two years. We investigated the fate of cover crop C in two organic matter fractions, Particulate Organic Matter (POM) and Mineral-Associated Organic Matter (MAOM), known to have different persistence in soil. Results Carbon derived from aboveground residues decayed two to three times faster as compared to belowground C. Belowground C inputs were similar among cover crops despite their contrasting root traits and differences in root biomass C. Rhizodeposited-C was consistently the largest belowground C input. Cover crop species affected the quantity of POM-C and MAOM-C, but MAOM-C was preferentially formed from belowground C (ranging from 0.63 ± 0.2 to 0.25 ± 0.1 Mg MAOM-C ha −1 across different cover crops), regardless of the species. Conclusions Cover crop species that can combine large belowground biomass production with root traits that promote physical and physico-chemical protection of OM will contribute most effectively to the long-term SOC pool. These aspects need to be balanced with considerations related to agricultural management.
Forfattere
Junbin Zhao Holger Lange Christian Wilhelm Mohr Cornelya Klutsch Simon Weldon Jonathan Rizzi Gunnhild Søgaard Hanna Marika Silvennoinen Teresa Gómez de la BárcenaSammendrag
Jordrespirasjonsmålinger på Svanhovd og dens modellering
Forfattere
F Durand-Maniclas H Heinemann F Seidel F Ciulla Teresa Gómez de la Bárcena M Camenzind S Corrado Z Csűrös Zs Czakó D Eylenbosch Andrea Ficke C Flamm J M Herrera V Horáková A Hund F Lüddeke F Platz B Poós Daniel Rasse M da Silva-Lopes M Toleikienė A Veršulienė M Visse-Mansiaux K Yu A Don J HirteSammendrag
Background and aims: Understanding the relationship of root traits and crop performance under varying environmental conditions facilitates the exploitation of root characteristics in breeding and variety testing to maintain crop yields under climate change. Therefore, we (1) evaluated differences in root length and surface area between ten winter wheat varieties grown at 11 sites in Europe covering a large pedoclimatic gradient, (2) quantified differences in root response to soil, climate and management conditions between varieties, and (3) evaluated variety-specific relationships of grain yield and root length and surface area under diverse environmental conditions. Methods: At each site, we sampled the roots to 1 m soil depth after harvest and determined various root traits by scanning and image analysis. The impacts of soil, climate and management on roots and yield of the ten varieties were analysed by means of multivariate mixed models. Key results: Root length averaged 1.4 m root piece−1, 5007 m root m−2 soil, and 5300 m root m−2 soil and root surface area 0.039 m2 root piece−1, 40 m2 root m−2 soil, and 43 m2 root m−2 soil in 0.00–0.15 m, 0.15–0.50 m, 0.50–1.00 m soil depth, respectively. The variation in both traits was 10 times higher between sites than varieties, the latter ranging by a factor of 2 within sites. Irrespective of variety, temperature was a major driver of subsoil root traits, suggesting that warmer climates promoted root growth in deeper soil layers. Other soil and climate variables affected root length and/or root surface area of individual varieties, highlighting different degrees of root plasticity. The varieties displayed distinctly different relationships between yield and root traits under varying pedoclimatic conditions, highlighting genetic differences in yield response to environmentally driven root plasticity. Conclusions: These findings suggest that breeding efforts should target flexible root–yield relationships in the subsoil to maintain crop performance under climate change.
Sammendrag
Det er ikke registrert sammendrag
Forfattere
Trond Henriksen Teresa Gómez de la Bárcena Kari Bysveen Thomas Cottis Peter Dörsch Eva Farkas Sigrid Trier Kjær Thomas Kätterer Christophe Moni Daniel Rasse Tatiana Francischinelli Rittl Svein Øivind Solberg Ievina Sturite Randi Berland FrøsethSammendrag
Rapporten sammenfatter resultater fra prosjektet “Fangvekster som klimatiltak i norsk kornproduksjon” (CAPTURE), gjennomført i 2021−2025. Målet med prosjektet var å dokumentere klimaeffekten av fangvekster på kornarealer i Norge, samt å utvikle gode dyrkingsstrategier. Rapporten presenterer dokumentasjon på mengde og variasjon i fangveksters biomasseproduksjon, bidrag til karbonfangst og lagring, utslipp av lystgass og evne til å holde på nitrat i jorda, samt en syntese av dette som kunnskapsgrunnlag for å kunne vurdere klimaeffekten av fangvekster under norske forhold.
Forfattere
Teresa Gómez de la Bárcena Tatiana Francischinelli Rittl Eva Farkas Daniel Rasse Cédric Plessis Helge Meissner Christophe Moni Trond Henriksen Randi Berland FrøsethSammendrag
Det er ikke registrert sammendrag
Sammendrag
Det er ikke registrert sammendrag
Sammendrag
Peat inversion is a management technique used to reduce emissions and retain carbon in cultivated peatland while allowing for effective forage production. Although maps and land registers document the presence of cultivated peatland that is suitable for peat inversion, these data do not cover all regions of interest. This study explores how an expert system and geostatistical modelling can be used to identify cultivated peatland suitable for peat inversion. The expert system proved to work moderately well for cultivable (but not for cultivated) peatland. Geostatistical modelling, using cultivable peatland as statistical support, gave good results in regions with large, continuous landforms. The results were less accurate in regions with rough, rapidly shifting terrain forms and where peatland was less frequent. The difference could be seen in the range and shape of the semivariograms. Geostatistical modelling can be used to identify cultivated peatland suitable for peat inversion in regions where the semivariogram shows a clear and well-defined spatial autocorrelation structure.