Identifying resilience mechanisms to recurrent ecosystem perturbations

Area of Science:

• Ecology
• Limnology
• Phycology

Background:

• Ecological resilience mechanisms are complex and difficult to determine.
• Invasive species, like Gonyostomum semen, can significantly impact aquatic ecosystems.
• Understanding phytoplankton community dynamics is crucial for assessing lake health.

Purpose of the Study:

• To investigate the resilience of phytoplankton communities in boreal lakes experiencing recurring Gonyostomum semen blooms.
• To compare community dynamics and resilience between lakes with and without G. semen blooms.
• To provide empirical support for the cross-scale resilience model.

Main Methods:

• Utilized eight-year time series data from boreal lakes.
• Characterized phytoplankton community structure using univariate metrics (evenness, species richness, biovolume, Simpson diversity).
• Applied multivariate time series modeling to assess resilience mechanisms and successional dynamics.

Main Results:

• Phytoplankton community metrics (except species richness) showed greater variability in bloom lakes.
• Multivariate models revealed successional dynamics and rapid community renewal after G. semen bloom collapse.
• G. semen impacts were confined to a single species group, not affecting overall community structure broadly.

Conclusions:

• Phytoplankton communities in boreal lakes exhibit resilience to G. semen blooms through rapid renewal mechanisms.
• The findings support the cross-scale resilience model, explaining stable species richness despite differing community features.
• This resilience highlights the adaptive capacity of phytoplankton communities in disturbed environments.