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
Mélanie SpedenerSammendrag
Sammendrag på norsk I Norge beiter kjøttfe i store områder av boreal produksjonsskog preget av flatehogst på sommeren (mai-september). Vi studerte først mat- og habitatvalg av disse kyrne (Artikkel I– II), og deretter effektene av storfe på flora og fauna (Artikkel III-V). Datainnsamlingen foregikk i Sørost-Norge i 2015-2017 (Furnes/Vang og Stange/Romedal) og 2021-2023 (Steinvik og Deset). Vi studerte kyrnes ressursvalg ved å klassifisere deres adferd ved hjelp av GPS og akselerasjonsdata, ved å hente inn (fra kart) og måle (i felt) habitatvariabler, ved å samle inn møkkprøver til mikrohistologiske analyser og ved å modellere ressursseleksjonsfunksjoner. Vi fokuserte på unge granplantefelt for å studere effektene av kjøttfe på flora og fauna, siden kyrene selekterer for denne skogstypen. Dessuten har små grantrær høy økonomisk verdi og unge granplantefelt er rikere i blomster og pollinatorer enn det resterende skoglandskapet. På 24 unge granplantefelt satt vi opp parede prøveflater (20x20 m hver), hvorav en omgitt av et gjerde. Vi så på unge trær, vegetasjonen i feltsjiktet og blomsterbesøkende insekter. Siden halvparten av disse granplantefeltene lå innenfor, og den andre halvparten utenfor beiteområdene, kunne vi skille effektene av storfe fra effektene av hjortedyr, som lever vilt i disse skogene. Interaksjoner mellom storfe og hjortedyr studerte vi ved å sette opp viltkamera på de samme granplantefelt og ved å gjennomføre møkktellinger langs et rutemønster i ett av beiteområdene. Kyrne hadde en gressrik diett og selekterte for gressrike habitater, både på stor og på liten skala (Artikkel I). Storfe selekterte for forskjellige habitatvariabler (liten skala) avhengig av adferden: Når de beitet, selekterte de for gressrikt habitat, og når de hvilte, selekterte de for gressrikt habitat med lite helling og høy kronedekning (Artikkel II). Storfe førte til bittelitt høyere dødelighet av unge grantrær, men ikke til høyere risiko for tråkk- og beiteskader (Artikkel III). Storfe fjernet vegetasjon som konkurrerte med unge grantrær, det vil si unge løvtrær og vegetasjon i feltsjiktet (Artikkel III). Storfe påvirket plante-pollinatorsamfunnet på en annen måte enn hjortevilt: Utgjerding av klovdyr utenfor beiteområde (hjortedyr) førte til lavere abundans av blomster, mens utgjerding av klovdyr innenfor beiteområde (hjortedyr og storfe) førte til lavere abundans av blomster og lavere abundans av blomsterbesøkende insekter (Artikkel IV). Elg brukte andre habitattyper enn storfe (Artikkel V). Elgen sitt bruk av unge granplantefelt avtok med økende bruk av storfe (Artikkel V). Mulige beiteinnskrenkende tiltak, samt bevaring av artsmangfoldet i boreal produksjonsskog ble drøftet, og anbefalinger for videre forskning ble gitt.
Forfattere
Begum BilgicSammendrag
The work was funded by the Research Council of Norway through grants 257622 (Bio4Fuels) and 319723 (BioSynGas)
Forfattere
Federico Dragoni M. Seyedalmoosavi Lorraine Balaine Serena Bonizzi Anna Sandrucci Nicola Alessi Giorgio Ragaglini Klaus Mittenzwei Lennart Kokemohr Aurelie Wilfart Emma Soule Joanna Fratczak-Muller Xabier Diaz De Otalara Monika Suchowska-Kisielewicz Grete H. M. Jørgensen Barbara AmonSammendrag
Det er ikke registrert sammendrag
Forfattere
Federico Dragoni Lorraine Balaine Serena Bonizzi Anna Sandrucci Kobe Coorevits David Janke Giorgio Ragaglini Klaus Mittenzwei Lennart Kokemohr Aurélie Wilfart Emma Soulé Joanna Fratczak-Muller Xabier Díaz de Otálora Wilfried Winiwarter Grete H. M. Jørgensen Barbara AmonSammendrag
Dairy production systems are an essential backbone of European agriculture but have become highly specialized, heavily relying on external inputs, lacking resilience and meeting a desirable level of circularity to a limited extent. When livestock is re-coupled with grasslands and diversified crops, dairy production systems provide valuable ecosystem services through their interaction with land, vegetation and soil. The aim of the DairyMix project (www.dairymix.eu) is to address this topic through systems thinking, defining region-specific concepts for sustainable and circular integrated crop-forestry-livestock systems for dairy production in Europe and Latin America. Data from a wide range of dairy case study farms were collected in Germany, Italy, France, Norway, Ireland, Poland, Brazil and Argentina. To assess the environmental performances of the case studies, Life Cycle Assessment (LCA) was carried out; economic and social sustainability indicators were also calculated. A multi-criteria assessment framework was implemented, and models covering the cropping system and other farm components were integrated to compute and assess circularity indicators. Precision farming technologies, such as the ICT-based Online Tool for monitoring Indoor barn Climate, animal stress and emission (OTICE), were developed, contributing to tailored solutions and management tools for regional agricultural challenges. Agroforestry practices were assessed, and qualitative in-depth interviews were conducted in selected case studies. In particular, the farmers’ willingness to implement agroforestry, mixed farming and improve nutrient circularity was investigated. Preliminary findings are as follows: 1) Agroforestry, as a valuable multifunctional practice (e.g., increasing biodiversity, carbon sequestration, animal welfare), can provide alternative feed resources for ruminants. Nutritional value and digestibility tests on leaves of five tree species in Northern Italy revealed that mulberry (Morus nigra L.) has a nutritional profile comparable to lucerne or polyphytic meadows. This and other species can potentially be included as an alternative fodder in dairy cow diets. 2) Farmers are motivated by both environmental concerns and profitability. According to our findings, they intuitively value circular and sustainable practices and show attachment to the land, often originating from farm inheritance. Key barriers to implementing sustainable and circular practices included insufficient earnings, high workload, workforce shortages, and limited access to insurance. Bureaucracy, frequent policy changes, and unstable expectations further hindered the adoption of such practices. Farmers notably emphasized the lack of consumer knowledge about production processes and product origins, highlighting the need for more education and awareness. The project results are being incorporated into the DairyMix online platform. The DairyMix platform will display results from: i) the multi-criteria assessment, allowing the users to evaluate the effect of varying the weights of the sustainability principle considered; ii) the modelling of mitigation measures and alternative cropping scenarios in representative dairy production systems across Europe and Latin America. Users will be asked for feedback, which will be incorporated into the platform. In contrast to “one-fit-all” solutions, the DairyMix interactive platform will present a range of options for the sustainability of farming systems for dairy production, favouring the adoption of informed decisions for circular and integrated crop-forestry-livestock in different regions.
Sammendrag
Environmental research is facing a drastic increase of available high-quality data, not the least due to the eLTER activities. Here simultaneous time series of numerous observables from the atmosphere, soil, streams, lakes and groundwater, etc., and comprising both abiotic and biotic variables will be made available from hundreds of sites. On the one hand quality control of these large data sets becomes a major challenge. On the other hand, though, it opens up completely new options for science as long as some key problems are solved:· How to differentiate between different effects?· How to deal with the filter effects of environmental systems?· How to identify unexpected relationships that a model would not depict?However, environmental sciences still lack a toolbox of approved integrated exploratory data analysis approaches to tackle these challenges in a systematic way. Here we suggest a combination of different methods that proved very efficient both in terms of data quality control and of exploratory data analysis for large sets of time series. Examples will be presented from the AgroScapeLab Quillow (LTER site DE-07-UM, Germany) and the Hurdal ICOS and ICP Forest Level II site (Norway). The Hurdal site is planned to be established as an elTER site as well.Any change of boundary conditions, of input fluxes, emerging invasive species etc. (termed “signal propagation” for short) in environmental systems is subject to filtering effects. A key feature thereof is low-pass filtering. Here we suggest the new Cumulative Periodogram Convexity (CPC) index to quantify the effect size for comparison of various time series. Principal Component Analysis of time series (termed Empirical Orthogonal Function approach in climatology) is suggested as another decisive step. Loadings on single components can be used for assessing the size of single effects on observed time series. Visualization of the communalities and of similarities between different observables and sites in a combination of Self-Organizing Maps and Sammon Mapping allows a rapid survey of some tens to hundreds of time series at a glance, e.g., for quality control. Additional consideration of the CPC index proved a powerful tool for identification of the respective key drivers and of the pathways of signal propagation through environmental systems, comprising both biotic and abiotic observables. Applying machine learning approaches to principal components rather than to the raw data facilitates developing a better understanding of complex interactions in environmental systems. To conclude, we see great potential in a systematic combination of existing approaches deserving to be explored further.
Forfattere
Grete H. M. Jørgensen Quentin Lardy Haldis Kismul Shelemia Nyamuryekung'e Mårten Hetta Mohammad Ramin Vibeke LindSammendrag
Det er ikke registrert sammendrag
Sammendrag
Det er ikke registrert sammendrag
Forfattere
Anita SønstebySammendrag
Drought stress disrupts plant growth, metabolism, and reproduction, with devastating effects on crop productivity worldwide. Blackcurrant, although rich in health-promoting compounds, is highly vulnerable to water deficits, often producing fewer flowers and aborting developing fruit. Previous transcriptome studies provided only fragmented insights, and no reference genome existed for the Grossulariaceae family until now. Without such genomic tools, identifying precise stress-responsive genes and linking them to metabolite dynamics remained challenging. Based on these challenges, there is a pressing need to conduct integrated genome-scale, transcriptomic, and metabolomic studies to uncover blackcurrant’s drought response mechanisms.
Forfattere
Federico Dragoni Lorraine Balaine Serena Bonizzi Anna Sandrucci Kobe Coorevits David Janke Giorgio Ragaglini Klaus Mittenzwei Lennart Kokemohr Aurélie Wilfart Emma Soulé Joanna Fratczak-Muller Xabier Díaz de Otálora Wilfried Winiwarter Grete H. M. Jørgensen Barbara AmonSammendrag
Poster til GGAA 2025 konferansen
Forfattere
Grete H. M. Jørgensen Quentin Lardy Haldis Kismul Shelemia Nyamuryekung'e Mårten Hetta Mohammad Ramin Vibeke LindSammendrag
Det er ikke registrert sammendrag