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
Forfattere
Daniel RasseSammendrag
Det er ikke registrert sammendrag
Forfattere
Maria Oldeman LundSammendrag
Det er ikke registrert sammendrag
Forfattere
Clifton Makate Gerard Cornelissen Jan Mulder Vegard Martinsen Øyvind Nystad HandbergSammendrag
This study examines how risk aversion, drought shocks, and land tenure correlate with the uptake of climate-smart agricultural (CSA) innovations in Uganda. Using survey data (442 households and 927 plots) from two districts (Mubende and Alebtong), farm-level weather data, and experimental and subjective risk aversion measures, the study finds risk aversion to be positively associated with recent drought shocks but negatively correlated with private land tenure. Risk aversion is associated with more land allocated to CSA, but recent drought shocks reduce adoption. Risk-averse farmers prioritize plots with secure land tenure for CSA investments. Promoting CSA practices that align with farmers’ risk-averse tendencies, ensuring protection against drought shocks, and strengthening tenure security can help sustain adoption.
Forfattere
Giovanna Ottaviani AalmoSammendrag
Det er ikke registrert sammendrag
Forfattere
María Bustamante Liria Concetta Maria Messina Simona Manuguerra Andrea Santulli Giovanna Ottaviani AalmoSammendrag
Despite significant progress in understanding the complexity of food systems’ challenges, there remains a lack of clarity around how these systems can undergo transformative change and what is required to enable such shifts. This paper focuses on social innovation as a promising mechanism for addressing structural challenges and reconfiguring food systems toward sustainability, equity, justice, and resilience. Our main contribution is the design of an actionable guidance that helps practitioners and researchers explore and leverage the transformative potential of social innovations. This guidance emerges from a dialogue between a key framework for analyzing social-ecological transformations and recent advancements in Transformative Social Innovation (TSI) theory. By incorporating insights on adaptive, bottom-linked governance and relational dynamics into the SES processual framework, we strengthen its applicability to TSI analysis and make it more adaptable for real-world contexts. We apply this guidance to a case study in Western Sicily’s aquatic food systems, where a long-standing social innovation – rooted in Living Lab methodologies and collaborative governance – demonstrates the potential to challenge dominant values by reconfiguring dominant social relations, empower local actors, and engage with both deep and shallow leverage points, contributing to systemic transformations. By combining cross-field dialogue with empirical application, this paper offers both practical tools for analyzing and designing transformative social innovation processes and practical insights into how social innovations can contribute to more sustainable, resilient, and equitable futures. It directly speaks to practitioners, scholars, and policy makers interested in enabling systemic transformation through socially embedded innovation processes.
Sammendrag
This paper presents a social benefit-cost analysis (BCA) of Precision Agriculture (PA)and Enhanced Efficiency Fertilizers (EEF) for reducing nitrate pollution in the Zelivka catchment, the drinking-water source for 1.5 million people in Prague and surrounding regions. The analysis combines field-level data (50,309 ha, 729 farms), meta-analytical biophysical parameters, a dynamic heterogeneous-agent adoption model, and cross-validation against an independent SWAT+ hydrological simulation. Technology adoption generates a mean Net Present Value of EUR 291 million (95% CI: EUR 94 775 million) over fifty years, with a deterministic benefit-cost ratio of 19.8. Even with health benefits set to zero, the NPV remains positive at EUR 44 million, indicating that private benefits alone cover adoption costs. BCA and the SWAT+ approaches imply comparable rates of reservoir-concentration decline (≈0.15 mg/L/yr in SWAT+ over its lag-free window versus a ≈0.13 mg/L/yr peak in the BCA once the lag has elapsed). At-source nitrogen prevention via agricultural technology adoption offers a cost-effective complement to structural catchment measures and end-of-pipe water treatment.
Forfattere
Marina Jennifer Hauser Johan Biørnstad May Bente Brurberg Peter Elias Kidibule Vincent EijsinkSammendrag
Det er ikke registrert sammendrag
Forfattere
Helle Ross GobakkenSammendrag
Support from Veiflyt project financed by Skogtiltaksfondet
Forfattere
Lokesh P Padhye Melanie Kah Erin M Leitao Karl Bowles Paul Nathanail Ian T Cousins Romain Figuière Bradley O Clarke Jordan M Partington Wejdan Alghamdi Elsie M Sunderland Bridger J Ruyle Satoshi Endo Trevor N Brown Zhengyang Wang Size Zheng Joseph J Pignatello Sanne J Smith Marcel Riegel Hans Peter Heinrich Arp Jens Blotevogel Robert J Giraud Anthony K Rappé Erlend Grenager Sørmo Gerard Cornelissen Marc A Deshusses Igor V Novosselov P Lee Ferguson Brian R Pinkard Timothy J Strathmann Kapish Gobindlal Jonathan Sperry Elisabeth Cuervo Lumbaque Nick Duinslaeger Jelena Radjenovic James HattonSammendrag
Per- and polyfluoroalkyl substances (PFAS) represent a large—and structurally diverse—group of contaminants that have become ubiquitous in our environment. PFAS are all extremely persistent while some are also bioaccumulative, mobile and/or toxic, which gives rise to significant environmental and health concerns. Despite more than a decade of intensive research, the management of PFAS is still associated with considerable challenges. It is evident that a holistic approach is required to address the challenging global problem of PFAS. This roadmap features expert perspectives from world-renowned leading researchers and practitioners on how best to manage PFAS. The 15 topics cover different facets of the complex PFAS issue, providing a multidisciplinary and multisectoral overview. For each topic, we reflect on the current status of knowledge and offer recommendations on science and technology advances that will help meet current and future challenges. Taken together, the 15 topics cover the entire life cycle of PFAS—from their sources to their destruction. Important themes such as monitoring and analysis, understanding and predicting fate, source controls (regulation and replacement), and existing and emerging strategies for remediation (capture and destroy) are highlighted throughout the roadmap. Overall, there are many recent scientific and technological advancements that show promise for the management of PFAS. However, it is also clear that there is no ‘silver bullet’ and multifaceted solutions will be needed. Long-term success hinges on sustained collaboration among researchers, policymakers, industries, and communities, which we hope this roadmap will help to catalyze.
Forfattere
A. Terskaia R. Oucheikh Junxiang Peng J. Oliveira D. Parsons J. Morel A.M. Abdi Z. Cai S. Thapa N. Boke-Olen P. Olsson H.G. Smith J. Ekroos L. EklundhSammendrag
Grassland management practices are critical both for maintaining resilient food production and for preserving biodiversity, yet spatially explicit information on them is often limited. Recent advances in freely available, remotely sensed land surface phenology and productivity datasets raise the question of whether phenological metrics provide additional, biologically interpretable information for characterising and mapping grassland management beyond conventional spectral features. In this study, we evaluated the information content and added value of freely available, ready-to-use Sentinel-2–derived High-Resolution Vegetation Phenology and Productivity (HR-VPP) data for distinguishing broad grassland management types (conventional leys, organic leys, and semi-natural grasslands) across multiple spatial scales. We analyzed 1455 grasslands across the intensively farmed Skåne province (southern Sweden) over 2018–2022 at provincial and local scales. We further tested whether phenological variables improve grassland management classification when combined with multi-temporal Sentinel-2 spectral data using state-of-the-art machine learning (ML) methods, and applied a conformal prediction framework to manage classification uncertainty. Relationships between HR-VPP metrics and field-measured biomass were additionally assessed using independent field data from northern Sweden. Field-level analyses showed weak (R2 = 0.28) to moderate (R2 = 0.47) relationships between HR-VPP productivity metrics and measured biomass. HR-VPP metrics captured statistically significant but subtle differences among management types, with strong overlap between categories, particularly at the provincial scale. Differences were more pronounced at local scales. Consequently, HR-VPP variables alone had limited predictive power and ML model accuracy was low (0.53). However, combining HR-VPP with Sentinel-2 spectral time-series data substantially improved classification performance, achieving an accuracy of 0.70. Feature importance analysis indicated that spectral indices dominated classification, with limited direct contribution from phenological parameters. These findings highlight both the potential and current limitations of continental-scale phenology and productivity products for grassland management monitoring and point to the need for improved models and complementary data sources to better capture management practices.