Experiences of Chinese immigrants and Anglo-Australians ageing in Australia: A cross-cultural perspective on successful ageing

This study explored the life experiences and views on successful ageing of older Australians. Semi-structured interviews were conducted with 21 participants consisting of 10 Chinese-Australians and 11 Anglo-Australians, aged 55 to 78 years. Data were analysed using Interpretative Phenomenological Analysis. Results revealed that both groups associated successful ageing with health and personal responsibility. Anglo-Australians regarded growing old gracefully and acceptance as important aspects of successful ageing, whereas Chinese-Australians valued financial security and an active lifestyle. The research highlights that a cross-cultural perspective is imperative for service delivery and policy development to promote the health and well-being of older Australians.Joanne Tan & Lynn Ward, Tahereh Ziaia

The roles of olfaction and vision in host-plant finding by the diamondback moth, Plutella xylostella

The relative roles of olfaction and vision in the crepuscular host-finding process of a major lepidopteran pest of cruciferous crops, the diamondback moth Plutella xylostella are investigated in a series of laboratory and semi-field experiments. Flying female moths use volatile plant chemical cues to locate and to promote landing on their host, even in complex mixed-crop environments in large cages. Multiple regression analysis shows that both the plant position (front, middle or back rows) and the type of plant (host plant, nonhost plant) are needed to explain the distribution of insects in such a mixed-crop situation. This strong plant position effect indicates that, when host plants are present in a mixture, foraging P. xylostella are more likely to alight on the first row of the plants. The findings are discussed with regard to current theories of host-plant location by phytophagous insects and the possible implications for integrated pest management

Volatile fluxes from volcanoes

International audienc

The future of zoonotic risk prediction

In the light of the urgency raised by the COVID-19 pandemic, global investment in wildlife virology is likely to increase, and new surveillance programmes will identify hundreds of novel viruses that might someday pose a threat to humans. To support the extensive task of laboratory characterization, scientists may increasingly rely on data-driven rubrics or machine learning models that learn from known zoonoses to identify which animal pathogens could someday pose a threat to global health. We synthesize the findings of an interdisciplinary workshop on zoonotic risk technologies to answer the following questions. What are the prerequisites, in terms of open data, equity and interdisciplinary collaboration, to the development and application of those tools? What effect could the technology have on global health? Who would control that technology, who would have access to it and who would benefit from it? Would it improve pandemic prevention? Could it create new challenges? This article is part of the theme issue ‘Infectious disease macroecology: parasite diversity and dynamics across the globe’