nerc.ac.uk

Using long-term ecological datasets to unravel the impacts of short-term meteorological disturbances on phytoplankton communities

Tran‐Khac, Viet ORCID: https://orcid.org/0009-0009-2450-3925; Doubek, Jonathan P. ORCID: https://orcid.org/0000-0003-2651-4715; Patil, Vijay ORCID: https://orcid.org/0000-0002-9357-194X; Stockwell, Jason D. ORCID: https://orcid.org/0000-0003-3393-6799; Adrian, Rita; Chang, Chun‐Wei ORCID: https://orcid.org/0000-0002-9817-2956; Dur, Gaël ORCID: https://orcid.org/0000-0003-1703-3047; Lewandowska, Aleksandra ORCID: https://orcid.org/0000-0003-2925-4509; Rusak, James A. ORCID: https://orcid.org/0000-0002-4939-6478; Salmaso, Nico ORCID: https://orcid.org/0000-0001-6057-3642; Straile, Dietmar ORCID: https://orcid.org/0000-0002-7441-8552; Thackeray, Stephen J. ORCID: https://orcid.org/0000-0003-3274-2706; Venail, Patrick ORCID: https://orcid.org/0000-0003-1126-280X; Bhattacharya, Ruchi ORCID: https://orcid.org/0000-0001-5657-9603; Brentrup, Jennifer; Bruel, Rosalie ORCID: https://orcid.org/0000-0001-8351-7539; Feuchtmayr, Heidrun ORCID: https://orcid.org/0000-0002-2028-4843; Gessner, Mark O. ORCID: https://orcid.org/0000-0003-2516-7416; Grossart, Hans‐Peter ORCID: https://orcid.org/0000-0002-9141-0325; Ibelings, Bastiaan W. ORCID: https://orcid.org/0000-0002-7213-7407; Jacquet, Stéphan ORCID: https://orcid.org/0000-0001-6017-3892; MacIntyre, Sally ORCID: https://orcid.org/0000-0003-3644-7237; Matsuzaki, Shin‐Ichiro S. ORCID: https://orcid.org/0000-0003-2744-1343; Nodine, Emily; Nõges, Peeter; Rudstam, Lars ORCID: https://orcid.org/0000-0002-3732-6368; Soulignac, Frédéric ORCID: https://orcid.org/0000-0002-0371-8857; Verburg, Piet ORCID: https://orcid.org/0000-0001-7574-9161; Znachor, Petr ORCID: https://orcid.org/0000-0002-9356-5996; Zohary, Tamar ORCID: https://orcid.org/0000-0002-9615-6469; Anneville, Orlane ORCID: https://orcid.org/0000-0003-1075-5661. 2025 Using long-term ecological datasets to unravel the impacts of short-term meteorological disturbances on phytoplankton communities [in special issue: Extreme events and their impacts on lakes] Freshwater Biology, 70 (5), e70023. 18, pp. 10.1111/fwb.70023

Before downloading, please read NORA policies.
[thumbnail of N539404JA.pdf]
Preview
Text
N539404JA.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial 4.0.

Download (2MB) | Preview

Abstract/Summary

•1. Extreme meteorological events such as storms are increasing in frequency and intensity, but our knowledge of their impacts on aquatic ecosystems and emergent system properties is limited. Understanding the ecological impacts of storms on the dynamics of primary producers remains a challenge that needs to be addressed to assess the vulnerability of freshwater ecosystems to extreme weather conditions and climate change. •2. One promising approach to gain insights into storm impacts on phytoplankton community dynamics is to analyse long‐term monitoring datasets. However, such an approach requires disentangling the impacts of short‐term meteorological disturbances from the effects of the seasonal trajectories of meteorological conditions. To this end, we applied boosted regression tree models to phytoplankton time series from eight relatively large lakes on four continents, coupled with a procedure adapted to detect and quantify rare events. •3. Overall, the patterns and potential drivers we identified provide important insights into the responses of lakes to short‐term meteorological events and highlight differences in the response of phytoplankton communities according to lake morphological characteristics. Our results indicated that deepened thermoclines and lake‐specific combinations of drivers describing altered thermal structures caused deviations from the typical trajectories of seasonal phytoplankton succession. For shallow polymictic lakes, shifts in phytoplankton succession also depended on changes in light availability. •4. Overall, our study highlights the value of long‐term monitoring to improve our understanding of phytoplankton sensitivity to short‐term meteorological disturbances.

Item Type: Publication - Article
Digital Object Identifier (DOI): 10.1111/fwb.70023
UKCEH and CEH Sections/Science Areas: Environmental Pressures and Responses (2025-)
ISSN: 0046-5070
Additional Information. Not used in RCUK Gateway to Research.: Open Access paper - full text available via Official URL link.
Additional Keywords: extreme events, long-term monitoring, phenology, seasonal succession, storms
NORA Subject Terms: Ecology and Environment
Data and Information
Related URLs:
Date made live: 09 May 2025 09:35 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/539404

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...