Understanding dynamics of aquatic systems along the freshwater marine continuum
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Edited by Caterina Bergami, Daniela Cianelli, Domenico D'Alelio, Robert Ptacnik, Jens Neistgaard
The dynamics of aquatic ecosystems are complex and influenced by a multitude of factors, both natural and anthropogenic. Understanding these dynamics and the drivers of change requires comprehensive and long-term data collection. This session will focus on using long-term time series of biotic and abiotic parameters to enhance our knowledge of these ecosystems and their evolving conditions. Contributions to a range of tools, methods, and observation systems employed in the collection and analysis of long-term data will be welcome. Topics include the deployment and maintenance of in situ observation systems, advancements in remote sensing technologies, early warning systems, and the integration of diverse data sources and data collection approaches, including citizen science. We especially encourage contributions comparing classical approaches such as microscopy with more recent and developing approaches such as eDNA and high-throughput AI-supported imaging. Case studies demonstrating the application of statistical and computational models to interpret time series data, revealing trends, cycles, and abrupt shifts in ecosystem states are also welcome. Additionally, the role of long-term monitoring in informing management and conservation strategies, highlighting the importance of sustained observational efforts in detecting and responding to environmental changes could be also considered as additional issues for this session.