Blooms also like it cold

Reinl, Kaitlin L.; Harris, Theodore D.; North, Rebecca L.; Almela, Pablo; Berger, Stella A.; Bižić, Mina; Burnet, Sarah H.; Grossart, Hans‐Peter; Ibelings, Bastiaan Willem; Jakobsson, Ellinor; Knoll, Lesley B.; Lafrancois, Brenda Moraska; McElarney, Y.; Morales‐Williams, Ana M.; Obertegger, Ulrike; Ogashawara, Igor; Paule-Mercado, Ma. Cristina; Peierls, Benjamin L.; Rusak, James A.; Sarkar, Siddhartha; Sharma, Sapna; Trout‐Haney, Jessica V.; Urrutia‐Cordero, Pablo; Venkiteswaran, Jason J.; Wain, Danielle; Warner, Katelynn; Weyhenmeyer, Gesa A.; Yokota, Kiyoko

doi:10.1002/lol2.10316

Cited by 38 publications

(35 citation statements)

References 119 publications

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“…High occurrence of TP and C4, and low SUVA, during early winter indicate more abundant autochthonous low‐molecular‐weight organic material. Hence, our results suggest that the carbon composition and availability of senescing algae are major factors for respiration under the ice cover, which is in agreement with previous studies (Bižić‐Ionescu et al 2014; Reinl et al 2023). Accordingly, Guillemette et al (2016) stated that autochthonous carbon is preferentially selected for respiration, whereas terrestrial substrates are more allocated for production.…”

Section: Discussionsupporting

confidence: 93%

“…Yet, much remains unknown, especially considering links between the physical limnology and communities, resource availability, and food web functions, as well as their variability on spatial and temporal scales. While winter dormancy applies to various aquatic organisms, there is growing evidence of photosynthetic activity (Twiss 2012; Reinl et al 2023) as well as rich and active microbial life and carbon processing under ice (Butler et al 2019). This has implications for the proportion and extent to which carbon is mineralized to CO 2 or alternatively assimilated into biomass and potentially transferred into the food web.…”

mentioning

confidence: 99%

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Variability in lake bacterial growth and primary production under lake ice: Evidence from early winter to spring melt

Kivilä,

Prėskienis,

Gaudreault

et al. 2023

Limnology & Oceanography

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Climate change is causing seasonally ice‐covered lakes of the boreal region to undergo changes in their winter regime by altering patterns of precipitation and temperature, often reflected as reduced snow and ice cover duration. The duration, extent and quality of ice, and snow cover have a pivotal role for production and carbon cycling in lakes in winter, with potentially cascading effects for the following open water period. We investigated under‐ice carbon cycling by assessing bacterial growth (including bacterial production, bacterial respiration, and bacterial growth efficiency) and primary production at five water depths during early winter, midwinter, late winter and melting season in a boreal lake, and report significantly different temporal patterns. Bacterial respiration was dominant in early and midwinter, whereas the late winter and melting season were dominated by bacterial production. Multiple linear regression models indicated that high early winter bacterial respiration was associated with senescing phytoplankton, whereas bacterial production was promoted by the onset of spring processes. Collectively, bacterial growth indices were inherently linked with bacterioplankton community composition and specific biomarker taxa. Primary production under ice increased in late winter when light‐blocking snow cover melted, and primary production measured from the lake ice exceeded that of the water column at the melting season. Ice samples hosted diverse eukaryotic communities including photoautotrophs, suggesting that the habitat potential of the understudied lake ice and the role of ice for ecological processes at ice melt should be further explored.

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Section: Discussionsupporting

confidence: 93%

mentioning

confidence: 99%

Variability in lake bacterial growth and primary production under lake ice: Evidence from early winter to spring melt

Kivilä,

Prėskienis,

Gaudreault

et al. 2023

Limnology & Oceanography

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“…In a recent study, a wide range of cold-water cyanobacterial blooms were documented, along with the abiotic and biotic drivers of blooms in cold water temperatures. 42 Thus, without additional evidence, cold water cannot be ruled out as a driver of the observed January anomaly at this time.…”

Section: Resultsmentioning

confidence: 87%

Harmful algae blooms: an analysis of recent spatiotemporal trends on California's inland waterbodies

Jang

Otim

2023

Environ. Sci.: Processes Impacts

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“…Furthermore, for brownwater lakes attention is needed to reduce the risk of other harmful algal blooms, such as the rapidly spreading, skin irritating Gonyostomum semen , which tends to be favoured by nutrients and browning (Hagman et al., 2020), especially if high concentrations of iron (and Mn) contribute to the brown color (Lebret, Östman, et al., 2018). Thus, the combination of nutrient and climate change‐related stressors (global warming and more frequent summer storms) will require tailored nutrient management schemes to reduce the risk of cyanobacterial bloom formation in lakes (Huisman et al., 2018; Reinl et al., 2023; Sterner, Reinl, et al., 2020).…”

Section: Discussionmentioning

confidence: 99%

Lake browning counteracts cyanobacteria responses to nutrients: Evidence from phytoplankton dynamics in large enclosure experiments and comprehensive observational data

Lyche Solheim,

Gundersen,

Mischke

et al. 2023

Global Change Biology

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Lakes worldwide are affected by multiple stressors, including climate change. This includes massive loading of both nutrients and humic substances to lakes during extreme weather events, which also may disrupt thermal stratification. Since multi‐stressor effects vary widely in space and time, their combined ecological impacts remain difficult to predict. Therefore, we combined two consecutive large enclosure experiments with a comprehensive time‐series and a broad‐scale field survey to unravel the combined effects of storm‐induced lake browning, nutrient enrichment and deep mixing on phytoplankton communities, focusing particularly on potentially toxic cyanobacterial blooms. The experimental results revealed that browning counteracted the stimulating effect of nutrients on phytoplankton and caused a shift from phototrophic cyanobacteria and chlorophytes to mixotrophic cryptophytes. Light limitation by browning was identified as the likely mechanism underlying this response. Deep‐mixing increased microcystin concentrations in clear nutrient‐enriched enclosures, caused by upwelling of a metalimnetic Planktothrix rubescens population. Monitoring data from a 25‐year time‐series of a eutrophic lake and from 588 northern European lakes corroborate the experimental results: Browning suppresses cyanobacteria in terms of both biovolume and proportion of the total phytoplankton biovolume. Both the experimental and observational results indicated a lower total phosphorus threshold for cyanobacterial bloom development in clearwater lakes (10–20 μg P L−1) than in humic lakes (20–30 μg P L−1). This finding provides management guidance for lakes receiving more nutrients and humic substances due to more frequent extreme weather events.

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Blooms also like it cold

Cited by 38 publications

References 119 publications

Variability in lake bacterial growth and primary production under lake ice: Evidence from early winter to spring melt

Variability in lake bacterial growth and primary production under lake ice: Evidence from early winter to spring melt

Harmful algae blooms: an analysis of recent spatiotemporal trends on California's inland waterbodies

Lake browning counteracts cyanobacteria responses to nutrients: Evidence from phytoplankton dynamics in large enclosure experiments and comprehensive observational data

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