86 research outputs found

    Toelating neo's en bijensterfte zijn twee vraagstukken

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    In de media worden 'bijensterfte'en 'toelating en gebruik van neonicotinoïde gewasbeschermingsmiddelen' als één vraagstuk gepresenteerd. De auteur maakt duidelijk dat het er twee zijn

    Bijen en maisstuifmeel

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    In Nederland wordt heel wat (voeder)mais geteeld, evenals in grote delen van de rest van Europa, vooral in landen die ook veel bijenvolken hebben. Hoewel deze plant een windbestuiver is, wordt het stuifmeel wel door honingbijen verzameld. Hoe goed of slecht is dat eigenlijk? Wat is hierover uit onderzoek bekend

    Hoeveel stuifmeel zit er in honing?

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    In honing zit altijd wat stuifmeel (en ook wat nectar in het bijenbrood). Bijen@wur zocht uit; "Hoeveel dan?

    Oxaalzuuralternatief voor in de zomer

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    Waar varroabestrijden 20 jaar geleden iets was wat je als bijenhouder erbij deed, is het nu een belangrijk deel van de bedrijfsvoering. Als er geen gesloten broed is, is oxaalzuur een effectief middel tegen varroamijten. Zo effectief dat sommige professionele imkers niets anders gebruiken. Maar kleinere bijenhouders bezorgt het inpassen van bestrijdingsmethoden in hun bedrijfsvoering wel eens hoofdbrekens. De hier beschreven methode biedt misschien een oplossing

    Colour response in western flower thrips varies intraspecifically

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    Discrepancies in the published research as to the attraction of the economically important pest western flower thrips (WFT) to different colours confounds the optimisation of field traps for pest management purposes. We considered whether the different experimental conditions of independent studies could have contributed to this. Therefore, the behavioural response (i.e., landings) to different colour cues of two WFT laboratory populations from Germany (DE) and The Netherlands (NL), which had previously been independently shown to have different colour preferences, were tested in the same place, and under the same experimental conditions. Single-choice wind tunnel bioassays supported previous independent findings, with more of a NL population landing on the yellow LED lamp (588 nm) than the blue (470 nm) (p = 0.022), and a not-statistically significant trend observed in a DE population landing more on blue compared to yellow (p = 0.104). To account for potential original host rearing influences, both populations were subsequently established on bean for ~20 weeks, then yellow chrysanthemum for 4–8 and 12–14 weeks and tested in wind tunnel choice bioassays. Laboratory of origin, irrespective of the host plant rearing regime, remained a significant effect (p < 0.001), with 65% of the NL WFT landing on yellow compared to blue (35%), while 66% of the DE WFT landed on blue compared to yellow (34%). There was also a significant host plant effect (p < 0.001), with increased response to yellow independent of laboratory of origin after rearing on chrysanthemum for 12–14 weeks. Results suggest that differing responses of WFT populations to colour is, in this case, independent of the experimental situation. Long-term separate isolation from the wild cannot be excluded as a cause, and the implications of this for optimising the trap colour is discussed

    The essential elements for a nursing home according to stakeholders from healthcare and technology:perspectives from multiple simultaneous monodisciplinary workshops

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    Technology and architectural solutions are needed as a means of support in future nursing homes. This study investigated how various monodisciplinary groups of stakeholders from healthcare and technology envision the nursing home of the future and which elements are necessary for its creation. Moreover, differences in needs and interests between the various stakeholders were considered. This qualitative study gathered data via 10 simultaneous sticky note brainstorm sessions with 95 professional stakeholders, which resulted in 1459 quotes in five categories that were clustered into themes and processed into word clouds. The stakeholders prioritized the needs of the resident and placed the most importance on the fact that a nursing home is primarily a place to live in the final stages of one's life. A mix of factors related to the quality of care and the quality of the built environment and technology is needed. Given the fact that there are differences in what monodisciplinary groups of stakeholders see as an ideal nursing home, multidisciplinary approaches should be pursued in practice to incorporate as many new views and stakeholder needs as possible.</p

    Technological and architectural solutions for Dutch nursing homes:results of a multidisciplinary mind mapping session with professional stakeholders

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    There is an increasing call in society for the improvement of well-being for nursing home residents and the support of care professionals through a wide array of architectural and technological solutions that are available in modern nursing homes. This study investigated which of these solutions are considered essential by stakeholders from healthcare and technology. Data were gathered via 22 simultaneously held multidisciplinary mind map sessions with 97 stakeholders, resulting in 43 mind maps. These, in turn, were grouped into a single mind map of the nursing home in general, the private rooms for residents with somatic or psychogeriatric health problems, and the group living room. A prioritization of solutions was added. The contents of the mind maps reflect a Dutch consensus on the necessary architectural and technological features for the design of nursing homes.</p

    Bridging the Gap between Field Experiments and Machine Learning: The EC H2020 B-GOOD Project as a Case Study towards Automated Predictive Health Monitoring of Honey Bee Colonies.

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    Honey bee colonies have great societal and economic importance. The main challenge that beekeepers face is keeping bee colonies healthy under ever-changing environmental conditions. In the past two decades, beekeepers that manage colonies of Western honey bees (Apis mellifera) have become increasingly concerned by the presence of parasites and pathogens affecting the bees, the reduction in pollen and nectar availability, and the colonies' exposure to pesticides, among others. Hence, beekeepers need to know the health condition of their colonies and how to keep them alive and thriving, which creates a need for a new holistic data collection method to harmonize the flow of information from various sources that can be linked at the colony level for different health determinants, such as bee colony, environmental, socioeconomic, and genetic statuses. For this purpose, we have developed and implemented the B-GOOD (Giving Beekeeping Guidance by computational-assisted Decision Making) project as a case study to categorize the colony's health condition and find a Health Status Index (HSI). Using a 3-tier setup guided by work plans and standardized protocols, we have collected data from inside the colonies (amount of brood, disease load, honey harvest, etc.) and from their environment (floral resource availability). Most of the project's data was automatically collected by the BEEP Base Sensor System. This continuous stream of data served as the basis to determine and validate an algorithm to calculate the HSI using machine learning. In this article, we share our insights on this holistic methodology and also highlight the importance of using a standardized data language to increase the compatibility between different current and future studies. We argue that the combined management of big data will be an essential building block in the development of targeted guidance for beekeepers and for the future of sustainable beekeeping

    Spatially structured environmental filtering of collembolan traits in late successional salt marsh vegetation

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    Both the environment and the spatial configuration of habitat patches are important factors that shape community composition and affect species diversity patterns. Species have traits that allow them to respond to their environment. Our current knowledge on environment to species traits relationships is limited in spite of its potential importance for understanding community assembly and ecosystem function. The aim of our study was to examine the relative roles of environmental and spatial variables for the small-scale variation in Collembola (springtail) communities in a Dutch salt marsh. We used a trait-based approach in combination with spatial statistics and variance partitioning, between environmental and spatial variables, to examine the important ecological factors that drive community composition. Turnover of trait diversity across space was lower than for species diversity. Most of the variation in community composition was explained by small-scale spatial variation in topography, on a scale of 4-6 m, most likely because it determines the effect of inundation, which restricts where habitat generalists can persist. There were only small pure spatial effects on species and trait diversity, indicating that biotic interactions or dispersal limitation probably were less important for structuring the community at this scale. Our results suggest that for springtails, life form (i.e. whether they live in the soil or litter or on the surface/in vegetation) is an important and useful trait to understand community assembly. Hence, using traits in addition to species identity when analysing environment-organism relationships results in a better understanding of the factors affecting community composition
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