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Field
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Plants and trees are vital to the UK’s economy, ecosystems, and climate goals, providing an estimated £15.7 billion annually in environmental and economic value and playing a crucial role in
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Integrated photonics is maturing and integration density increases. This means the design methods and testing strategies need to keep up. Are you interested in exploring compact models and novel
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the intersection of ecology, machine learning, and sustainable land management, the research will combine field data collection, deep learning model development, and stakeholder co-design to support biodiversity
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. fish) and to people’s wellbeing (e.g. food security), with consequent economic implications. This research aims to explore how projected tipping points in North Atlantic marine ecosystems could influence
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the construction of a unified data model for Data Spaces that facilitates adoption by stakeholders involved in the socio-economic ecosystem. In addition, the design of a federated algorithm that allows decision
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model. - Update the lake-wide distribution map of the mussel in terms of density, biomass, and biovolume. This map will serve as the basis for a theoretical estimate of whole-ecosystem filtration capacity
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detection mechanisms for those plants to which they have become adapted, to select suitable plants for feeding or for laying their eggs. We will use the model system of the cabbage white butterflies, Pieris
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremen, Bremen | Germany | about 1 month ago
models as predictive tools to address questions regarding the response of deep-sea ecosystems to various pressures. A key question addresses the best combination of ML and network analysis to maximize
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disease control strategies for wheat that also safeguard native biodiversity and ecosystem stability. Research Methodology The main aim of this project is to resolve the conflicting interests of preserving
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ecosystem services and play a significant role in the maintenance of biodiversity. An ecological niche modelling approach using a unique dataset of spatialized inventories on a regular grid (resolution 800 m