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Publications

NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.

2025

Abstract

Plant-based meat analogues (PBMA) are expected to reduce environmental, health, and animal welfare challenges from the production and consumption of meat. This paper investigates PBMA consumption using three rounds of a survey. PBMA consumption in Norway increased from 2017 to 2019 but stagnated in 2022. Several food choice motives and socioeconomic factors affected consumption consistently across the survey rounds. Emphasizing the environment, animal welfare, and novelty were positively associated with PBMA consumption, while emphasizing familiarity and Norwegian origin were negatively associated. Younger, higher educated, urban, and vegetarian respondents were more likely to consume PBMA. Use of social media had a positive effect on the consumption for the total sample, but it was not stable across the survey rounds. Producers, marketers, and other policy makers could promote the environmental and animal welfare benefits along with the novelty aspects of PBMA. The use of domestic ingredients could also appeal to older and rural individuals who emphasize food familiarity.

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Abstract

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Abstract

Empirical field data and simulation models are often used separately to monitor and analyse the dynamics of insect pest populations over time. Greater insight may be achieved when field data are used directly to parametrize population dynamic models. In this paper, we use a differential evolution algorithm to integrate mechanistic physiological-based population models and monitoring data to estimate the population density and the physiological age of the first cohort at the start of the field monitoring. We introduce an ad hoc temperature-driven life-cycle model of Bemisia tabaci in conjunction with field monitoring data. The likely date of local whitefly invasion is estimated, with a subsequent improvement of the model’s predictive accuracy. The method allows computation of the likely date of the first field incursion by the pest and demonstrates that the initial physiological age somewhat neglected in prior studies can improve the accuracy of model simulations. Given the increasing availability of monitoring data and models describing terrestrial arthropods, the integration of monitoring data and simulation models to improve model prediction and pioneer invasion date estimate will lead to better decision-making in pest management.