Beekeeping in Europe facing climate change: A mixed methods study on perceived impacts and the need to adapt according to stakeholders and beekeepers.

The beekeeping sector is suffering from the detrimental effects of climate change, both directly and indirectly. Despite numerous studies conducted on this subject, large-scale research incorporating stakeholders' and beekeepers' perspectives has remained elusive. This study aims to bridge this gap by assessing the extent to which stakeholders involved in the European beekeeping sector and European beekeepers perceive and experience the impacts of climate change on their operations, and whether they had to adapt their practices accordingly. To this end, a mixed-methods study including in-depth stakeholder interviews (n = 41) and a pan-European beekeeper survey (n = 844) was completed within the frame of the EU-funded H2020-project B-GOOD. The development of the beekeeper survey was informed by insights from literature and the stakeholder interviews. The results highlighted significant regional disparities in the perceived impacts of climate change, with beekeepers in Southern European regions expressing more negative outlooks, while Northern European beekeepers reported more favourable experiences. Furthermore, survey analysis revealed beekeepers who were classified as 'heavily impacted' by climate change. These beekeepers reported lower average honey yields, higher colony winter loss rates and a stronger perceived contribution of honey bees to pollination and biodiversity, underscoring climate change's detrimental impacts on the beekeeping sector. Multinomial logistic regression revealed determinants of the likelihood of beekeepers being classified as 'heavily impacted' by climate change. This analysis indicates that Southern European beekeepers experienced a 10-fold likelihood of being classified as heavily impacted by climate change compared to Northern European beekeepers. Other significant factors distinguishing 'winners' and 'losers' were self-reported level of professionalism as a beekeeper (ranging from pure hobbyist to fully professional, Odds Ratio (OR) = 1.31), number of years active in beekeeping (OR = 1.02), availability of floral resources throughout the bee season (OR = 0.78), beehives located in a forested environment (OR = 1.34), and the presence of local policy measures addressing climate change-related challenges (OR = 0.76).

COVID-19 vaccination willingness in peri-urban Tanzanian communities: Towards contextualising and moving beyond the individual perspective.

With only 5.1% of the population fully vaccinated against COVID-19, Tanzania has one of the lowest vaccination rates in the world and after two years of changing policies regarding the disease, the country struggles to get its vaccination campaign on the rails. In this study, we identify the determinants of COVID-19 vaccination willingness in two villages of the Mvomero district in Eastern Tanzania. Based on survey data, we performed univariate analyses to assess differences in vaccination intention for various social groups, and built a four-dimensional multivariate ordered logistic regression model that comprises respondents' personal and socioeconomic characteristics, the channels through which they get their information, their attitudes and perceptions towards COVID-19, and their social network embeddedness. Only 37.0% of the respondents indicated that they would be willing to get vaccinated against COVID-19. Vaccination willingness differed significantly according to gender, age, educational attainment and religion; with men, the elderly, people with post-secondary education and Catholics and Muslims more likely to accept a vaccine. Predictors of vaccination willingness were gender, age, social media and informal contacts as information sources, perceived effectiveness of the vaccine and of alternative medicine, fear of side effects, a general dislike of vaccines, and the proportion of vaccinated people and the highest value of trust in international organisations in one's network. Although people's attitudes and perceptions have the largest share of the explanatory value, our model shows that all four of our model's building blocks were imperative in explaining vaccination willingness. Therefore, our paper presents a compelling case for the inclusion of respondents' social embeddedness as a common dimension for exploratory models of vaccination willingness.