Scientific article

An Automated Platform for Phytoplankton Ecology and Aquatic Ecosystem Monitoring

Published inEnvironmental science & technology, vol. 45, no. 22, p. 9658-9665
Publication date2011

High quality monitoring data are vital for tracking and understanding the causes of ecosystem change. We present a potentially powerful approach for phytoplankton and aquatic ecosystem monitoring, based on integration of scanning flow-cytometry for the characterization and counting of algal cells with multiparametric vertical water profiling. This approach affords high-frequency data on phytoplankton abundance, functional traits and diversity, coupled with the characterization of environmental conditions for growth over the vertical structure of a deep water body. Data from a pilot study revealed effects of an environmental disturbance event on the phytoplankton community in Lake Lugano (Switzerland), characterized by a reduction in cytometry-based functional diversity and by a period of cyanobacterial dominance. These changes were missed by traditional limnological methods, employed in parallel to high-frequency monitoring. Modeling of phytoplankton functional diversity revealed the importance of integrated spatiotemporal data, including circadian time-lags and variability over the water column, to understand the drivers of diversity and dynamic processes. The approach described represents progress toward an automated and trait-based analysis of phytoplankton natural communities. Streamlining of high-frequency measurements may represent a resource for understanding, modeling and managing aquatic ecosystems under impact of environmental change, yielding insight into processes governing phytoplankton community resistance and resilience.

Affiliation Not a UNIGE publication
Citation (ISO format)
POMATI, Francesco et al. An Automated Platform for Phytoplankton Ecology and Aquatic Ecosystem Monitoring. In: Environmental science & technology, 2011, vol. 45, n° 22, p. 9658–9665. doi: 10.1021/es201934n
Updates (1)
ISSN of the journal0013-936X

Technical informations

Creation04/09/2013 2:04:16 PM
First validation04/09/2013 2:04:16 PM
Update time03/14/2023 8:08:14 PM
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