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

Mitigating the Impact of Harmful Algal Blooms on Aquaculture Using Technological Interventions: Case Study on a South African Farm DOI Open Access
Tahmina Ajmal, Fazeel Mohammed, Martin S. Goodchild

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(9), P. 3650 - 3650

Published: April 26, 2024

Seafood, especially from the ocean, is now seen as a greener and more sustainable source of protein, causing an increase in its demand. This has also led to people making choices towards seafood replacement for carbon-intensive protein sources. As result, demand growing, aquaculture industry looks production, keeping products safe imperative. There are many challenges faced by meeting these increased demands. One such challenge presence harmful algal blooms (HABs) which can have major impact on aquatic life. In this paper, we look at monitoring strategies whilst illustrating potential technological interventions help mitigate HAB. We will focus Abagold Limited, land-based marine business that specialises large-scale production abalone (Haliotis midae) based Hermanus, South Africa. HABs considered threat commercial-scale farming along African coastline require continuous monitoring. The most recent HAB was February–April 2019, when area experienced severe red-tide event with predominantly Lingulodinium polyedrum. present some employing digital technologies future-proof industry. article presents development novel hybrid water quality forecasting model TriLux multi-parameter sensor monitor key parameters. actual experimental real data Limited show good correlation basis would be useful tool management

Language: Английский

Citations

1
Seasonal dynamics of toxigenic Microcystis in a large, shallow Lake Peipsi (Estonia) using microcystin mcyE gene abundance DOI

Margarita Esmeralda Gonzales Ferraz,

Helen Agasild,

Kai Piirsoo

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(8)

Published: July 18, 2024

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
What’s the matter in phytoplankton? Highlighting the importance of stoichiometric traits in lake ecosystem models DOI Creative Commons
Carly R. Olson,

Daniel Gschwentner,

Annemieke M. Drost

et al.

Frontiers in Ecology and Evolution, Journal Year: 2024, Volume and Issue: 12

Published: Nov. 26, 2024

Introduction Accurate models of lake primary production are crucial for understanding ecosystem function and predicting responses to global change. However, current research in modeling has emphasized environmental characteristics while less work considered phytoplankton stoichiometric traits. Importantly, these traits link resource availability via organismal metabolism thus critical function. Methods Here, we use an existing database demonstrate that minimum quotas nitrogen phosphorus significantly influence predictions gross production. Additionally, compare how different parameterizations stoichiometry affect modeled Finally, evaluate the ability capture observed patterns seston lakes Northern Hemisphere. Results discussion We argue parameterization calibration will improve obtaining better estimates

Language: Английский

Citations

1
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

Citations

1