@misc{12849,
  abstract     = {{Trophic interactions determine food web structure and influence biodiversity, community structure, ecosystem functioning, and food web responses to global change. These interactions are highly flexible, changing on temporal scales from diurnal to evolutionary times due to phenotypic plasticity, rapid evolution and species sorting. Small-scale experimental and theoretical studies of plankton interactions have demonstrated a high relevance of this flexibility for community dynamics and ecosystem processes in small, simplified communities. However, the extent to which this flexibility affects larger-scale systems, for example, global ocean dynamics and their responses to global change, is still poorly understood. Differences in methodology, focus and terminology between research disciplines limit our ability to project established effects of flexible trophic interactions onto larger spatial and temporal scales. We propose to bridge this gap with a general framework for upscaling knowledge from small-scale research to large-scale models. Building on examples from plankton communities, we use this framework to show how mechanisms demonstrated in small-scale studies can be linked to ecosystem functions relevant at large scales. We argue for incorporating flexibility in large-scale process-based models to improve their realism and predictive power, and discuss challenges and ways forward for achieving this. Finally, we suggest several concrete ways for upscaling small-scale studies to make their findings more relevant for large-scale research, to close existing knowledge gaps and to improve our understanding of how flexible trophic interactions affect dynamics and processes across scales.}},
  author       = {{van Velzen, Ellen and Wollrab, Sabine and Kerimoglu, Onur and Gaedke, Ursula and Grossart, Hans-Peter and Kasada, Minoru and Klip, Helena C. L. and Moorthi, Stefanie and Shatwell, Tom and Thongthaisong, Patch and Friederike Prowe, A. E.}},
  booktitle    = {{Ecosystems}},
  issn         = {{1435-0629}},
  keywords     = {{Functional traits, Plankton interactions, Rapid evolution, Phenotypic plasticity, Ecosystem functioning, Global change, Upscaling, Adaptation}},
  number       = {{2}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Flexibility in Aquatic Food Web Interactions: Linking Scales and Approaches}}},
  doi          = {{10.1007/s10021-025-00968-7}},
  volume       = {{28}},
  year         = {{2025}},
}

@inproceedings{4327,
  abstract     = {{In ever changing world, the industrial systems become more and more complex. Machine feedback in the form of alarms and notifications, due to its growing volume, becomes overwhelming for the operator. In addition, expectations in relation to system availability are growing as well. Therefore, there exists strong need for new solutions guaranteeing fast troubleshooting of problems that arise during system operation. The approach proposed in this study uses advantages of the Asset Administration Shell, machine learning, and human-machine interaction in order to create the assistance system which holistically addresses the issue of troubleshooting complex industrial systems.}},
  author       = {{Lang, Dorota and Wunderlich, Paul and Heinz, Mario and Wisniewski, Lukasz and Jasperneite, Jürgen and Niggemann, Oliver and Röcker, Carsten}},
  booktitle    = {{14th IEEE International Workshop on Factory Communication Systems (WFCS)}},
  keywords     = {{Maintenance engineering, Adaptation models, Machine learning, Data models, Standards, Software, Bayes methods}},
  location     = {{Imperia, Italy }},
  publisher    = {{IEEE}},
  title        = {{{Assistance System to Support Troubleshooting of Complex Industrial Systems}}},
  doi          = {{10.1109/WFCS.2018.8402380}},
  year         = {{2018}},
}