Dataset Information

Storm impacts on phytoplankton community dynamics in lakes.

ABSTRACT: In many regions across the globe, extreme weather events such as storms have increased in frequency, intensity, and duration due to climate change. Ecological theory predicts that such extreme events should have large impacts on ecosystem structure and function. High winds and precipitation associated with storms can affect lakes via short-term runoff events from watersheds and physical mixing of the water column. In addition, lakes connected to rivers and streams will also experience flushing due to high flow rates. Although we have a well-developed understanding of how wind and precipitation events can alter lake physical processes and some aspects of biogeochemical cycling, our mechanistic understanding of the emergent responses of phytoplankton communities is poor. Here we provide a comprehensive synthesis that identifies how storms interact with lake and watershed attributes and their antecedent conditions to generate changes in lake physical and chemical environments. Such changes can restructure phytoplankton communities and their dynamics, as well as result in altered ecological function (e.g., carbon, nutrient and energy cycling) in the short- and long-term. We summarize the current understanding of storm-induced phytoplankton dynamics, identify knowledge gaps with a systematic review of the literature, and suggest future research directions across a gradient of lake types and environmental conditions.

SUBMITTER: Stockwell JD

PROVIDER: S-EPMC7216882 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Storm impacts on phytoplankton community dynamics in lakes.

Stockwell Jason D JD Doubek Jonathan P JP Adrian Rita R Anneville Orlane O Carey Cayelan C CC Carvalho Laurence L De Senerpont Domis Lisette N LN Dur Gaël G Frassl Marieke A MA Grossart Hans-Peter HP Ibelings Bas W BW Lajeunesse Marc J MJ Lewandowska Aleksandra M AM Llames María E ME Matsuzaki Shin-Ichiro S SS Nodine Emily R ER Nõges Peeter P Patil Vijay P VP Pomati Francesco F Rinke Karsten K Rudstam Lars G LG Rusak James A JA Salmaso Nico N Seltmann Christian T CT Straile Dietmar D Thackeray Stephen J SJ Thiery Wim W Urrutia-Cordero Pablo P Venail Patrick P Verburg Piet P Woolway R Iestyn RI Zohary Tamar T Andersen Mikkel R MR Bhattacharya Ruchi R Hejzlar Josef J Janatian Nasime N Kpodonu Alfred T N K ATNK Williamson Tanner J TJ Wilson Harriet L HL

Global change biology 20200305 5

In many regions across the globe, extreme weather events such as storms have increased in frequency, intensity, and duration due to climate change. Ecological theory predicts that such extreme events should have large impacts on ecosystem structure and function. High winds and precipitation associated with storms can affect lakes via short-term runoff events from watersheds and physical mixing of the water column. In addition, lakes connected to rivers and streams will also experience flushing d ...[more]

PMID: 32133744

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Project description:Accurate characterization of the movement of water through catchments, particularly during precipitation event response, is critical for hydrological efforts such as contaminant transport modeling or prediction of extreme flows. Abiotic hydrogeochemical tracers are commonly used to track sources and ages of surface waters but provide limited details about transit pathways or the spatial dynamics of water storage and release. Alternatively, biotic material in streams is derived from thousands of taxa originating from a variety of environments within watersheds, including groundwater, sediment, and upslope terrestrial environments, and this material can be characterized with genetic sequencing and bioinformatics. We analyzed the stable water isotopes (δ18O and δ2H) and microbiome composition (16S rRNA gene amplicon sequencing) of the Marys River of western Oregon, USA during an early season storm to describe the processes, storage, and flowpaths that shape surface water hydrology. Stable water isotopes (δ18O and δ2H) typified an event response in which stream water is composed largely of 'old' water introduced to the catchment before the storm, a common though not well understood phenomenon. In contrast, microbial biodiversity spiked during the storm, consisting of early- and late-event communities clearly distinguishable from pre-event communities. We applied concentration-discharge (cQ) analysis to individual microbial taxa and found that most Alphaproteobacteria sequences were positively correlated (i.e., were mobilized) with discharge, whereas most sequences from phyla Gammaproteobacteria and Bacteroidota were negatively correlated with discharge (i.e., were diluted). Source predictions using the prokaryote habitat preference database ProkAtlas found that freshwater-associated microbes composed a smaller fraction of the microbial community during the stream rise and a larger fraction during the recession, while soil and biofilm-associated microbes increased during the storm and remained high during recession. This suggests that the "old" water discharged during the storm was likely stored and released from, or passed through, soil- and biofilm-rich environments, demonstrating that this approach adds new, biologically derived tracer information about the hydrologic pathways active during and after this event. Overall, this study demonstrates an approach for integrating information-rich DNA into water resource investigations, incorporating tools from both hydrology and microbiology to demonstrate that microbial DNA is useful not only as an indicator of biodiversity but also functions as an innovative hydrologic tracer.

Dataset Information

Storm impacts on phytoplankton community dynamics in lakes.

Publications

Storm impacts on phytoplankton community dynamics in lakes.

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