Positive feedbacks between bottom-up and top-down controls promote the formation and toxicity of ecosystem disruptive algal blooms: A modeling study

Sunda, William G.; Shertzer, Kyle W.

doi:10.1016/j.hal.2014.09.005

Cited by 9 publications

(6 citation statements)

References 87 publications

(143 reference statements)

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“…Data from former studies of the diatoms Thalassiosira pseudonana and Thalassiosira weissogii were used to create the parameters for the two high-nutrient fast-growing competitors. 91 The model supported the positive feedback loop theory and calculated that bloom formation and toxicity would be augmented by increasing the time patches of water spent in the area or nutrient input. 91 Therefore, it was hypothesized that to decrease the effects of algal blooms and their toxicity, anthropogenic nutrient inputs to coastal ecosystems need to be reduced.…”

Section: Modelsmentioning

confidence: 69%

“…During 2013 and 2014, two studies used laboratory and eld data to shape models on the formation of toxic algal blooms and the spread of algal toxins through food webs. 91,92 A stoichiometric nutrient-plankton-zooplankton (NPZ) model was used to test the theory that ecosystem-disruptive algal blooms are caused by a positive feedback loop of differential algal growth rates, low grazing mortality, and a decrease in available nutrients in the system due to the reduction in grazing. 91 The parameter values for the bloom species whose toxicity increased with nutrient limitation came from experimental data on the dinoagellate Karenia brevis.…”

Section: Modelsmentioning

confidence: 99%

“…91,92 A stoichiometric nutrient-plankton-zooplankton (NPZ) model was used to test the theory that ecosystem-disruptive algal blooms are caused by a positive feedback loop of differential algal growth rates, low grazing mortality, and a decrease in available nutrients in the system due to the reduction in grazing. 91 The parameter values for the bloom species whose toxicity increased with nutrient limitation came from experimental data on the dinoagellate Karenia brevis. Data from former studies of the diatoms Thalassiosira pseudonana and Thalassiosira weissogii were used to create the parameters for the two high-nutrient fast-growing competitors.…”

Section: Modelsmentioning

confidence: 99%

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Chemical ecology of marine plankton

et al. 2016

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Covering: January 2013 to online publication December 2014This review summarizes recent research in the chemical ecology of marine pelagic ecosystems, and aims to provide a comprehensive overview of advances in the field in the time period covered. In order to highlight the role of chemical cues and toxins in plankton ecology this review has been organized by ecological interaction types starting with intraspecific interactions, then interspecific interactions (including facilitation and mutualism, host-parasite, allelopathy, and predator-prey), and finally community and ecosystem-wide interactions.

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Section: Modelsmentioning

confidence: 69%

Section: Modelsmentioning

confidence: 99%

Section: Modelsmentioning

confidence: 99%

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Chemical ecology of marine plankton

et al. 2016

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“…In recent years, there has been increasing interest in Harmful Algal Bloom (HAB) and its control (for example, see [5][6][7][8][9]). Generally high nutrient levels and favorable conditions for algae play a key role in rapid or massive growth of algae, high predation pressure as well as other unfavorable conditions for algae may limit their growth, but it may lead to oscillations or recurring blooms in the plankton system.…”

Section: Introductionmentioning

confidence: 99%

Dynamics for Phytoplankton-Zooplankton System with Time Delays

Jiang

Takeuchi

2017

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Abstract. In this paper, a system consisting of two harmful phytoplanktons and one zooplankton with two time delays is investigated. Firstly, the global existence, nonnegativity and boundedness of the solutions of the system are discussed. Secondly, using time delays as bifurcating parameters, the existence of local Hopf bifurcations at the positive equilibrium of the system is investigated in details. The phenomenon of stability switches is confirmed under some certain conditions. It is shown by numerical simulations under some suitable parameters that the system can exhibit complicated dynamic properties, and undergoes changes from stable periodic solution or equilibrium to chaos or from chaos to stable periodic solution or equilibrium. At last, some conclusions are given. The direction of the Hopf bifurcations and the stability of the bifurcation periodic solutions are given in Appendix by using the center manifold and normal form theory.

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“…2010). Eutrophication disrupts ecosystem integrity, affecting aquatic biodiversity, fishing, and recreational activities; water quality deterioration contributes to the water crisis that humankind is currently facing (Sunda and Shertzer 2014).…”

mentioning

confidence: 99%

Toxigenic Microcystis aeruginosa (Cyanobacteria) affects the population growth of two common green microalgae: Evidence of other allelopathic metabolites different to cyanotoxins

Hernández-Zamora

Santiago-Martínez

Martínez‐Jerónimo

2021

Journal of Phycology

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Agriculture runoffs and discharge of wastewaters are the major causes of eutrophication. Although eutrophication could promote the thriving of any phytoplankter, harmful algal blooms (HABs) are dominated frequently by cyanobacteria. Currently, HABs dominated by the toxigenic cyanobacterium Microcystis aeruginosa in lakes and reservoirs are the main environmental concerns worldwide. This study aimed to determine how M. aeruginosa (Ma) modifies the population growth of Pseudokirchneriella subcapitata (Ps) and Ankistrodesmus falcatus (Af). Growth kinetics were determined for each species and in the combinations: Ps–Ma, Af–Ma, Af–Ps, and Ps–Af–Ma. At the end of experiments, photosynthetic pigments, phycobiliproteins, and microcystins were quantified. A logistic equation significantly described the growth trend for all of the tested species, enabling the identification of negative effects on early stages in the population growth of co‐cultures with the cyanobacterium; in addition, the interaction effects on the growth rate and in the maximum attainable population density were determined. The biomasses of A. falcatus and P. subcapitata were significantly higher when cultured individually than in all of the combinations with the cyanobacterium. The concentrations of chlorophyll a and b, as well as carotenoids, were lower in combined cultures, but phycobiliprotein content in the cultures with M. aeruginosa was not significantly affected. Microcystis aeruginosa negatively affected the growth of the microalgae, but A. falcatus was significantly more inhibited than P. subcapitata; however, microcystin concentrations were significantly reduced in the co‐cultures with microalgae. These results could help to explain the displacements of microalgae when cyanobacteria are present, giving rise to cyanobacterial blooms in eutrophic freshwaters.

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Positive feedbacks between bottom-up and top-down controls promote the formation and toxicity of ecosystem disruptive algal blooms: A modeling study

Cited by 9 publications

References 87 publications

Chemical ecology of marine plankton

Chemical ecology of marine plankton

Dynamics for Phytoplankton-Zooplankton System with Time Delays

Toxigenic Microcystis aeruginosa (Cyanobacteria) affects the population growth of two common green microalgae: Evidence of other allelopathic metabolites different to cyanotoxins

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