Controls on Lake Pelagic Primary Productivity: Formalizing the Nutrient‐Color Paradigm DOI Creative Commons
Isabella A. Oleksy, Christopher T. Solomon, Stuart E. Jones

et al.

Journal of Geophysical Research Biogeosciences, Journal Year: 2024, Volume and Issue: 129(12)

Published: Dec. 1, 2024

Abstract Understanding controls on primary productivity is essential for describing ecosystems and their responses to environmental change. In lakes, pelagic gross (GPP) strongly controlled by inputs of nutrients dissolved organic matter. Although past studies have developed process models this nutrient‐color paradigm (NCP), broad empirical tests these are scarce. We used data from 58 globally distributed, mostly temperate lakes test such a model improve understanding prediction the lake production. The includes three state variables–dissolved phosphorus, terrestrial carbon (DOC), phytoplankton biomass–and generates realistic predictions equilibrium rates GPP. calibrated our using Bayesian assimilation technique subset where DOC total phosphorus (TP) loads were known. then asked how well performed with larger set lakes. Revised parameter estimates updated aligned existing literature values. Observed GPP varied nonlinearly both inflow TP concentrations in manner consistent increasing light limitation as increased decreasing nutrient increased. Furthermore, across diverse ecosystems, highly correlated observed values derived high‐frequency sensor data. parameters improved upon previous estimates, expanding utility simplified assumptions water column mixing. Our analysis provides structure that may be broadly useful current future patterns

Language: Английский

Harmful algal blooms in inland waters DOI
Lian Feng, Ying Wang, Xuejiao Hou

et al.

Nature Reviews Earth & Environment, Journal Year: 2024, Volume and Issue: 5(9), P. 631 - 644

Published: Aug. 27, 2024

Language: Английский

Citations

27

Lake browning counteracts cyanobacteria responses to nutrients: Evidence from phytoplankton dynamics in large enclosure experiments and comprehensive observational data DOI Creative Commons
Anne Lyche Solheim, Hege Gundersen, Ute Mischke

et al.

Global Change Biology, Journal Year: 2023, Volume and Issue: 30(1)

Published: Nov. 22, 2023

Abstract 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 time, their combined ecological impacts remain difficult predict. Therefore, we two consecutive large enclosure experiments with a comprehensive time‐series broad‐scale field survey unravel the storm‐induced lake browning, nutrient enrichment deep mixing on phytoplankton communities, focusing particularly potentially toxic cyanobacterial blooms. The experimental results revealed that browning counteracted stimulating effect caused shift from phototrophic cyanobacteria chlorophytes mixotrophic cryptophytes. Light limitation was identified as likely mechanism underlying this response. Deep‐mixing increased microcystin concentrations clear nutrient‐enriched enclosures, upwelling metalimnetic Planktothrix rubescens population. Monitoring data 25‐year eutrophic 588 northern European corroborate results: Browning suppresses terms biovolume proportion total biovolume. Both observational indicated lower phosphorus threshold for bloom development clearwater (10–20 μg P L −1 ) than (20–30 ). finding provides management guidance receiving more due frequent events.

Language: Английский

Citations

19

Refocusing the microbial rare biosphere concept through a functional lens DOI
Elena Litchman, Sébastien Villéger, Lucie Zinger

et al.

Trends in Ecology & Evolution, Journal Year: 2024, Volume and Issue: 39(10), P. 923 - 936

Published: July 9, 2024

Language: Английский

Citations

5

Assessing the genomic diversity of a NW Spain bloom of Alexandrium minutum using satDNAs as chromosomal markers DOI Creative Commons
Ángeles Cuadrado, Marta Sixto, Rosa Isabel Figueroa

et al.

Harmful Algae, Journal Year: 2025, Volume and Issue: 142, P. 102801 - 102801

Published: Jan. 15, 2025

Language: Английский

Citations

0

Role of benthic overwintering cyanobacteria seed stock on estuarine bloom dynamics DOI Creative Commons
Ellen P. Preece,

Timothy G. Otten,

Janis Cooke

et al.

Harmful Algae, Journal Year: 2025, Volume and Issue: 143, P. 102807 - 102807

Published: Feb. 6, 2025

Cyanobacteria blooms (cHABs) comprised of the potentially toxic cyanobacterium Microcystis, are increasing in waterbodies worldwide. CHABs estuaries often originate from upstream locations with longer hydraulic residence times (e.g., reservoirs, static channels). These also accumulate higher concentrations benthic overwintering cells that serve as inoculum for subsequent year's blooms. We investigated Microcystis seed stock hydrologically complex upper San Francisco Estuary known Sacramento-San Joaquin Delta (Delta). Quantitative polymerase chain reaction (qPCR) was used to quantify total sediments available inoculate summertime To study bloom origin and succession, DNA discrete water sediment samples PCR amplified using cyanobacteria-specific 16S-23S ITS rDNA primers. Results confirmed hypothesis peripheral areas have highest generally surface water. high genetic diversity population 36 unique genotypes detected column. This demonstrates should be considered when investigating dynamics across large estuarine systems.

Language: Английский

Citations

0

Climate change promotes harmful algal blooms in China's lakes and reservoirs despite significant nutrient control efforts DOI
Shuai Zhang, George B. Arhonditsis,

Yulai Ji

et al.

Water Research, Journal Year: 2025, Volume and Issue: 277, P. 123307 - 123307

Published: Feb. 16, 2025

Language: Английский

Citations

0

Climate change effects on the human gut microbiome: complex mechanisms and global inequities DOI Creative Commons
Elena Litchman

The Lancet Planetary Health, Journal Year: 2025, Volume and Issue: 9(2), P. e134 - e144

Published: Feb. 1, 2025

Ongoing global climate change is affecting all aspects of life on Earth, including human health. The gut microbiota an important determinant health in humans and other organisms, but how affects remains largely unexplored. In this Review, I discuss the changing might affect by altering quantity quality food, as well environmental microbiomes, such enteric pathogen pressure host physiology. Climate change-induced variability food supply, shifts elemental macromolecular composition plant animal proliferation pathogens, direct effects high temperatures physiology alter undesirable ways, increasing burden change. importance different pathways depend many geographical, economic, ecological factors. Microbiomes populations low-income countries be disproportionally affected through greater poor mitigation diet, burden,

Language: Английский

Citations

0

Virus Infection of a Freshwater Cyanobacterium Contributes Significantly to the Release of Toxins Through Cell Lysis DOI Creative Commons
Victoria Lee, Isaac Meza‐Padilla, Jozef I. Nissimov

et al.

Microorganisms, Journal Year: 2025, Volume and Issue: 13(3), P. 486 - 486

Published: Feb. 22, 2025

Toxic algal-bloom-forming cyanobacteria are a persistent problem globally for many aquatic environments. Their occurrence is attributed to eutrophication and rising temperatures due climate change. The result of these blooms often the loss biodiversity, economic impacts on tourism fisheries, risks human animal health. Of emerging interest poorly understood interplay between viruses toxic species that form blooms. This because recent studies have suggested may exacerbate harmful effects by contributing release toxins into dissolved phase upon cell lysis. However, date, there no experimental evidence explicitly implicates in microcystin release. Here, we show experimentally virus infection toxin-producing, harmful, cyanobacterium Microcystis aeruginosa results 4-fold increase toxin microcystin-LR two days post-infection (dpi). We also concentrations remain high after culture discoloration host Collectively, our directly implicate as major contributors from emphasize importance taking account predictive models assessment water quality safety.

Language: Английский

Citations

0

Enhancing water quality management: the role of predictive modeling and IoT in monitoring, analysis, and intervention DOI
Kartavya Mathur, Parbodh Chander Sharma, Nisha Gaur

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 43 - 68

Published: Jan. 1, 2025

Language: Английский

Citations

0

Cell size explains shift in phytoplankton community structure following storm‐induced changes in light and nutrients DOI Creative Commons
Alexis L. N. Guislain, Jens C. Nejstgaard, Jan Köhler

et al.

Ecology, Journal Year: 2025, Volume and Issue: 106(3)

Published: March 1, 2025

Understanding the mechanisms driving community structure and dynamics is crucial in face of escalating climate change, including increasing incidences extreme weather. Cell size a master trait small organisms that subject to trade-off between resistance grazing competition for resources, thus holds potential explain predict response disturbances. Here, we aimed at determining whether cell can shifts phytoplankton communities following changes nutrient light conditions resulting from storm-induced inputs nutrients colored dissolved organic matter (cDOM) deep clearwater lakes. To ensure realistic environmental conditions, used crossed gradient design conduct large-scale enclosure experiment over 6 weeks. explained when availability declined as result cDOM supply. Initially unimodal, with small-celled species accounting up 60% total biovolume, cell-size distribution gradually shifted toward large-celled levels addition. Neither nor mesozooplankton affected shift distribution. These results suggest distinct competitive advantage larger smaller reduced during storm events. Importantly, clustering two classes implies interspecific differences much per se understand dynamics. Given have strong implications food-web biogeochemical cycles, our point importance analyzing distributions an essential element forecast ecosystem change.

Language: Английский

Citations

0