A review of spatial structure of freshwater food webs: Issues and opportunities modeling within‐lake meta‐ecosystems DOI
Jonathan J. Borrelli, Rick A. Relyea

Limnology and Oceanography, Journal Year: 2022, Volume and Issue: 67(8), P. 1746 - 1759

Published: June 9, 2022

Abstract Lakes are currently facing multiple anthropogenic stressors impacting their ecological communities. The best way to understand how these systems will be affected by the changing environment is modeling community dynamics. Models of lake food webs have tended focus on pelagic organisms and treat lakes as if they contain single, uniform However, heterogeneity in environmental conditions resource availability generates within‐lake compartmentalization web structure. Turnover among species interactions resulting from differences depth substrate type creates unique different regions lakes. Food within can therefore represented a three‐dimensional meta‐ecosystem, where compartments connected flows nutrients, materials, consumers with variable degrees mobility lake. We review spatially structured processes that connect parts ecosystem. then discuss current approaches address spatial communities, highlighting key methods some constraints preventing more explicit representation webs. Finally, we recommend use allometric trophic networks make easier. By capitalizing empirically described relationships parameterize trophically complex webs, balance generalizable model system‐specific needs. Given nature many threats freshwater lakes, building an understanding space structures imperative create better for management conservation.

Language: Английский

Biotic interactions shape the realised niche of toxic cyanobacteria DOI Creative Commons

Pinelopi Ntetsika,

Stefanie Merkli, Ewa Merz

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: April 20, 2025

Abstract Cyanobacterial blooms increasingly threaten vital freshwater ecosystems, with harmful impacts exacerbated by climate change and eutrophication. Despite extensive research on temperature nutrient effects, our predictive capacity remains limited. We propose that this limitation stems from insufficient understanding of how biotic interactions modify cyanobacterial responses to abiotic conditions. Using five years daily monitoring data a eutrophic lake state-space reconstruction modelling, we show co-occurring plankton species fundamentally reshape the realised niche bloom-forming cyanobacteria. Biotic shift thresholds up 13°C phosphorus requirements over 20 μg/L—effects substantial enough determine whether environmental conditions support or prevent in Microcystis Dolichospermum . Grazing inhibits bloom formation across taxa, while facilitation other phytoplankton may allow at unexpectedly low temperatures phosphate concentrations. These findings address fundamental gap—how shape niches natural systems—while offering practical insights for management. By integrating into programs models, can improve forecasting accuracy develop targeted interventions complement traditional control approaches. parallel recent advances ecology suggesting role mediating species’ change.

Language: Английский

Citations

0
The Role of Rapid Changes in Weather on Phytoplankton Spring Bloom Dynamics From Mid‐Norway Using Multiple Observational Platforms DOI Creative Commons
Glaucia M. Fragoso, Alberto Dallolio, Susie M. Grant

et al.

Journal of Geophysical Research Oceans, Journal Year: 2024, Volume and Issue: 129(3)

Published: March 1, 2024

Abstract The spring phytoplankton bloom plays a major role in pelagic ecosystems; however, its dynamics are not well understood due to insufficient, highly resolved observational data. Here we investigate the start, peak, and decline of 2‐week Frohavet located biological hotspot coast mid‐Norway. We used observations from an uncrewed surface vehicle (USV) combined with buoy measurements, satellite images, discrete water sampling modeling approaches. (March–June 2022) consisted multiple peaks (up 5 mg Chl m −3 ), long peak April dominated by diatom Skeletonema , coincident period when USV captured temporal spatial bloom. Short‐term episode calm weather spring, such as clear skies consistent low wind speed (<7 s −1 ) shoaled mixed layer depth (<15 m) promoted rapid development ‐ 1 days. Likewise, collapse was rather quick, 1–2 days coincides nitrate values increase (>10 suggesting strong influence environment on dynamics. Understanding is crucial for predicting impact marine trophic web biogeochemical cycles. Integration distinct platforms has potential unveil environmental factors underlying

Language: Английский

Citations

3
Combined Earth observations reveal the sequence of conditions leading to a large algal bloom in Lake Geneva DOI Creative Commons
Abolfazl Irani Rahaghi, Daniel Odermatt, Orlane Anneville

et al.

Communications Earth & Environment, Journal Year: 2024, Volume and Issue: 5(1)

Published: May 1, 2024

Abstract Freshwater algae exhibit complex dynamics, particularly in meso-oligotrophic lakes with sudden and dramatic increases algal biomass following long periods of low background concentration. While the fundamental prerequisites for blooms, namely light nutrient availability, are well-known, their specific causation involves an intricate chain conditions. Here we examine a recent massive Uroglena bloom Lake Geneva (Switzerland/France). We show that certain sequence meteorological conditions triggered this event: heavy rainfall promoting excessive organic matter nutrients loading, followed by wind-induced coastal upwelling, prolonged period warm, calm weather. The combination satellite remote sensing, in-situ measurements, ad-hoc biogeochemical analyses, three-dimensional modeling proved invaluable unraveling dynamics blooms highlighting substantial role littoral-pelagic connectivities large low-nutrient lakes. These findings underscore advantages state-of-the-art multidisciplinary approaches improved understanding dynamic systems as whole.

Language: Английский

Citations

3
Tracking Extensive Portfolio of Cyanotoxins in Five-Year Lake Survey and Identifying Indicator Metabolites of Cyanobacterial Taxa DOI Creative Commons
Xuejian Wang, Simon Wullschleger, Martin R. Jones

et al.

Environmental Science & Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 30, 2024

Cyanobacterial blooms require monitoring, as they pose a threat to ecosystems and human health, especially by the release of toxins. Along with widely reported microcystins, cyanobacteria coproduce other bioactive metabolites; however, information about their dynamics in surface waters is sparse. We investigated across full bloom successions throughout five-year lake monitoring campaign (Greifensee, Switzerland) spanning 150 sampling dates. conducted extensive suspect screening cyanobacterial metabolites using database CyanoMetDB. Across all 850 samples, 35 regularly co-occurred. Microcystins were present 70% [d-Asp

Language: Английский

Citations

3
Long-range dependence and extreme values of precipitation, phosphorus load, and Cyanobacteria DOI Creative Commons
Stephen R. Carpenter,

Mark R. Gahler,

Christopher J. Kucharik

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2022, Volume and Issue: 119(48)

Published: Nov. 21, 2022

Mutations are important because they provide raw material for evolution. Some types of mutations occur more often than others, and the strength such mutational bias varies across species. It is not clear how this variation arises. We ...Biased mutation spectra pervasive, with wide in magnitude biases that influence genome evolution adaptation. How do diverse evolve? Our experiments show changing spectrum allows populations ...

Language: Английский

Citations

14
Contribution of zooplankton nutrient recycling and effects on phytoplankton size structure in a hypereutrophic reservoir DOI
Tyler J. Butts, Eric K. Moody, Grace M. Wilkinson

et al.

Journal of Plankton Research, Journal Year: 2022, Volume and Issue: 44(6), P. 839 - 853

Published: Sept. 12, 2022

Abstract Consumer nutrient recycling influences aquatic ecosystem functioning by altering the movement and transformation of nutrients. In hypereutrophic reservoirs, zooplankton has been considered negligible due to high concentrations available A comparative analysis ( Moody Wilkinson, 2019) found that communities in lakes are dominated nitrogen (N)-rich species, which authors hypothesized would increase phosphorus (P) availability through excretion. However, likely varies over course a growing season changes biomass, community composition grazing pressure on phytoplankton. We quantified zooplankton, phytoplankton concentration dynamics during summer 2019 temperate, reservoir. estimated contribution excretion dissolved pool given day was equivalent substantial proportion (21–39%) inorganic P standing stock early when were low limiting growth. Further, we evidence affected size distributions selective smaller cells affecting uptake storage Overall, our results demonstrate reservoirs helped drive springtime while influenced distributions.

Language: Английский

Citations

8
DOC, grazers, and resilience of phytoplankton to enrichment DOI Creative Commons
Stephen R. Carpenter, Michael L. Pace, Grace M. Wilkinson

et al.

Limnology and Oceanography Letters, Journal Year: 2022, Volume and Issue: 7(6), P. 466 - 474

Published: Sept. 5, 2022

Abstract Phytoplankton blooms often follow nutrient enrichment. Differences among lakes in light‐absorbing dissolved organic carbon (DOC) may shift bloom thresholds to higher loads and thereby increase resilience of To explore this idea, we measured experimental enrichment two with contrasting DOC concentrations. We compared both using a model phytoplankton response nutrients, dynamic time series indicator resilience, empirical measures stochastic mean exit median survival time. For the ecosystem lake was more resilient However, distributions overlapped for indicators lakes. These analyses show that interacts mixing depth zooplankton biomass affect resilience. Strong contrasts many observations are needed discern effects on

Language: Английский

Citations

7
Automated plankton monitoring suggests a key role of microzooplankton and temperature for predicting dynamics of phytoplankton size classes DOI Creative Commons
Stefanie Merkli, Ewa Merz, Marta Reyes

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 23, 2024

Abstract The interplay between abiotic (resource supply, temperature) and biotic (grazing) factors determines growth loss processes in phytoplankton through resource competition trophic interactions, which are mediated by morphological traits like size. Here, we study the relative importance of grazers, water physics chemistry on daily net accumulation rates (AR) individual from natural communities, grouped into six size classes circa 10 to 500 μm. Using a Random Forest modelling approach four years data lake, find that temperature is generally pivotal control all AR. At same time, nutrients light important for smallest largest classes. Mesozooplankton abundance key predictor AR small phytoplankton, with microzooplankton being middle-size range. In our data, large have different (seasonal) blooming patterns: forms favoured low grazing, high phosphorus levels. Larger show positive ARs at temperatures (being relatively insensitive zooplankton grazing). These results help us understand opportunities limitations using explain model responses environmental change.

Language: Английский

Citations

1
The dependence of forecasts on sampling frequency as a guide to optimizing monitoring in community ecology DOI Creative Commons
Uriah Daugaard, Stefanie Merkli, Ewa Merz

et al.

Ecosphere, Journal Year: 2024, Volume and Issue: 15(2)

Published: Feb. 1, 2024

Abstract Facing climate change and biodiversity loss, it is critical that ecology advances so processes, such as species interactions dynamics, can be correctly estimated skillfully forecasted. As different processes occur on time scales, the sampling frequency used to record them should intuitively match these scales. Yet, effect of data ecological forecasting accuracy understudied. Using a simple simulated dataset baseline more complex high‐frequency plankton dataset, we tested how frequencies impacted abundance forecasts classes estimation their interactions. We then investigated whether growth rates body sizes could select most appropriate frequency. The showed optimal scaled positively with rate. This finding was not repeated in analyses series, however. There, found reduction worsened led us both over‐ underestimate suggests determine ideal scientific monitoring programs. A better study design will improve theoretical understanding advance policy measures dealing current global challenges.

Language: Английский

Citations

1
A framework for developing a real-time lake phytoplankton forecasting system to support water quality management in the face of global change DOI Creative Commons
Cayelan C. Carey, Ryan S. D. Calder, Renato Figueiredo

et al.

AMBIO, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 20, 2024

Language: Английский

Citations

1