A Digital Twin for Real-Time Biodiversity Forecasting with Citizen Science
Citizen science provides large amounts of biodiversity data.
BioCube: A multimodal dataset for biodiversity research
Biodiversity research requires complete and detailed information to study ecosystem dynamics at different scales.
Accelerating joint species distribution modeling with Hmsc-HPC: A 1000x faster GPU deployment
Joint Species Distribution Modelling (JSDM) is a powerful and increasingly widely used statistical methodology in biodiversity modelling, enabling researchers to assess and predict the joint distribution of species across space and time. However, JSDM can be computationally intensive and even prohibitive, especially for large datasets and sophisticated model structures. To address computational limitations of JSDM, we expanded one widely used JSDM framework, Hmsc-R, by developing a Graphical Processing Unit (GPU) -compatible implementation of its model fitting algorithm.
Biodiversity data standards for the organization and dissemination of complex research projects and digital twins: a guide
Biodiversity data are substantially increasing, spurred by technological advances and community (citizen) science initiatives. To integrate data is, likewise, becoming more commonplace. Open science promotes open sharing and data usage. Data standardization is an instrument for the organization and integration of biodiversity data, which is required for complex research projects and digital twins. However, just like with an actual instrument, there is a learning curve to understanding the data standards field.
Brood indicators are an early warning signal of honey bee colony loss—a simulation-based study
Honey bees (Apis mellifera) are exposed to multiple stressors such as pesticides, lack of forage, and diseases. It is therefore a long-standing aim to develop robust and meaningful indicators of bee vitality to assist beekeepers While established indicators often focus on expected colony winter mortality based on adult bee abundance and honey reserves at the beginning of the winter, it would be useful to have indicators that allow detection of stress effects earlier in the year to allow for adaptive management.
Digital twin challenges in biodiversity modelling
Digital Twin is a contemporary digital representation paradigm that is capable of encompassing the complex interactions within the natural environment. By building biodiversity Digital Twin solutions we may reveal anthropogenic effects that cause loss in biodiversity and discover the pathways that can better uncover, diminish or prevent these effects.
Prototype biodiversity digital twin: crop wild relatives genetic resources for food security
Amidst population growth and climate-driven crop stresses such as drought, extreme weather, fungal and insect pests, as well as various crop diseases, ensuring food security demands innovative strategies. Crop wild relatives (CWR), wild plants in the same genus as the crop as well as wild populations belonging to the same species as the crop, offer novel genetic resources crucial for enhancing crop resilience against these stress factors. Here, we introduce a prototype digital twin (pDT) to aid in searching and utilising CWR genetic resources.