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Storm impacts on phytoplankton community dynamics in lakes

Authors: Stockwell, Jason; Doubek, Jonathan; Adrian, Rita; Anneville, Orlane; Carey, Cayelan; Carvalho, Laurence; de Senerpont Domis, Lisette; +32 Authors

Storm impacts on phytoplankton community dynamics in lakes

Abstract

AbstractIn 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.

Countries
Switzerland, Finland, Germany, France, Czech Republic, Switzerland, France, Netherlands, Belgium, Estonia, United Kingdom, Germany, Belgium, Italy
Keywords

550, Biodiversity & Conservation, 05 Environmental Sciences, 41 Environmental sciences, Mixing, EXTREME EVENTS, Climate change, functional traits, watershed, info:eu-repo/classification/ddc/570, DIFFERENT CLIMATIC CONDITIONS, changement climatique, Ecology, Plan_S-Compliant-TA, SPECIES-DIVERSITY, tempête, lacs, Biological sciences, SHALLOW LAKE, climate change, WATER-QUALITY, WIND-EXPOSED LAKE, International, articles, Biodiversity Conservation, climate change, environmental disturbance, extreme events, functional traits, mixing, nutrients, stability, watershed, Stability, Life Sciences & Biomedicine, Functional traits, 570, extreme events, climate change; environmental disturbance; extreme events; functional traits; mixing; nutrients; stability; watershed, environmental disturbance, Storms, Climate Change, Environmental Sciences & Ecology, EUTROPHIC LAKE, Rivers, Environmental disturbance, nutrients, Settore BIO/07 - ECOLOGIA, mixing, DISSOLVED ORGANIC-CARBON, CYANOBACTERIAL BLOOM FORMATION, Ecosystem, Science & Technology, phytoplancton, nutriment, 333.7-333.9, LARGE SHALLOW LAKE, 31 Biological sciences, Nutrients, Extreme events, 06 Biological Sciences, stability, Watershed, 37 Earth sciences, Environmental sciences, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, Invited Research Review, Lakes, FUNCTIONAL TRAITS, Ecology, evolutionary biology, Phytoplankton, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, THERMAL STRATIFICATION, Environmental Sciences, ddc: ddc:550, ddc: ddc:333.7-333.9

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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