Rare bird forecast: A combined approach using a long-term dataset of an Arctic seabird and a numerical weather prediction model.

Wildlife observation is a popular activity, and sightings of rare or difficult-to-find animals are often highly desired. However, predicting the sighting probabilities of these animals is a challenge for many observers, and it may only be possible by limited experts with intimate knowledge and skills. To tackle this difficulty, we developed user-friendly forecast systems of the daily observation probabilities of a rare Arctic seabird (Ross's Gull ) in a coastal area in northern Japan.

[The Metaverse: A New Frontier for Healthcare].

We discuss leveraging a cutting-edge technology known as the Metaverse to tackle healthcare challenges, with a particular focus on enhancing patient satisfaction and improving working conditions for medical professionals. We plan to achieve this by improving real-digital collaboration and utilizing the advantages of the Metaverse, such as novel communication and experiences and increased work efficiency and quality. This article showcases several concrete examples of Metaverse services in the medical field, as demonstrated by the "Medical Metaverse Joint Research Course" established through a collaboration between IBM and Juntendo University, and also highlights possible future prospects.

Noise pollution alters the diet composition of invertebrate consumers both in and beyond a noise-exposed grassland ecosystem.

Anthropogenic noise is ubiquitous globally. However, we know little about how the impacts of noise alter fundamental ecosystem properties, such as resource consumption by invertebrate consumers. Using experimental noise manipulation and faecal DNA metabarcoding, we assessed how the direct and cross-trophic indirect effects of noise altered the dietary richness and specializations of omnivorous grasshoppers in a grassland ecosystem.

Intentional release of native species undermines ecological stability.

The massive release of captive-bred native species ("intentional release") is a pervasive method to enhance wild populations of commercial and recreational species. However, such external inputs may disrupt the sensitive species interactions that allow competing species to coexist, potentially compromising long-term community stability. Here, we use theory and long-term data of stream fish communities to show that intentional release destabilizes community dynamics with limited demographic benefit to the enhanced species.