Influence of phosphorus on copper toxicity to Selenastrum gracile (Reinsch) Korshikov

Rocha, Giseli Swerts; Lombardi, Ana Teresa; Melão, Maria da Graça Gama

doi:10.1016/j.ecoenv.2016.02.007

Cited by 22 publications

(15 citation statements)

References 60 publications

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“…Nutrient status is an important determinant of phytoplankton tolerance to Cu toxicity [3,67]. Phosphate bodies may act as sites for complexing and detoxifying Cu, and thereby Cu toxicity imparts a high demand for phosphorus (P) and results in P limitation [51].…”

Section: Interactions Between Cu and Other Metals And Nutrientsmentioning

confidence: 99%

Impacts of Aerosol Copper on Marine Phytoplankton: A Review

et al. 2019

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Atmospheric deposition brings both nutrients and toxic components to the surface ocean, resulting in important impacts on phytoplankton. Field and lab studies have been done on the iron (Fe) fertilization on marine phytoplankton. However, studies on other trace metals are limited. Both bioassay experiments and field observations have suggested that aerosols with high copper (Cu) concentrations can negatively affect the primary productivity and change phytoplankton community structure. Note that with increasing human activities and global environmental changes (e.g., ocean acidification, warming, deoxygenation, etc.), the input of aerosol Cu could exceed toxicity thresholds at certain times or in some sensitive oceanic regions. Here, we provide a comprehensive review on aerosol Cu and marine phytoplankton studies by summarizing (1) physiological effects and toxicity thresholds of Cu to various phytoplankton taxa, (2) interactions between Cu and other metals and major nutrients, and (3) global distribution of surface seawater Cu and atmospheric Cu. We suggest that studies on aerosols, seawater chemistry, and phytoplankton should be integrated for understanding the impacts of aerosol Cu on marine phytoplankton, and thereafter the air–sea interaction via biogeochemical processes.

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Section: Interactions Between Cu and Other Metals And Nutrientsmentioning

confidence: 99%

Impacts of Aerosol Copper on Marine Phytoplankton: A Review

et al. 2019

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“…Studies about the interactions between metallic ions and nutrients have highlighted the influence of nutrients in culture media on the sensitivity of phytoplankton to metals. The toxicities of arsenic (Wang et al 2013), cadmium (Zeng & Wand 2009, Webster et al 2011), copper (Serra et al 2010, Rocha et al 2016) and chromium (Qian et al 2013) to cyanobacterium and green microalgae have increased in response to the reduction of phosphorus in the environment. To the contrary, a decrease in the toxicity of Zn to green microalgae under limiting phosphate conditions was described by Gao et al (2016).…”

Section: Introductionmentioning

confidence: 99%

“…The choice of the phosphorus concentrations tested reflected the natural conditions of freshwater aquatic environments, including low and high concentrations of the element (Zeng & Wang 2009, Chia et al 2017. In this research, the microalga R. subcapitata was exposed to three phosphorus concentrations for several generations up to constant growth rates, to guarantee that their physiology would reflect the nutrient concentrations (Rocha et al 2016). Thus, the toxicity tests with zinc were carried out after acclimation of the microalgae.…”

Section: Introductionmentioning

confidence: 99%

Effect of phosphorus on the toxicity of zinc to the microalga Raphidocelis subcapitata

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Rocha

et al. 2020

An. Acad. Bras. Ciênc.

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The aim of this study was to evaluate the effect of phosphorus (P) on the toxicity of zinc (Zn) for the alga Raphidocelis subcapitata. P was provided in three concentrations: 2.3 x 10-4 mol L-1 , 2.3 x 10-6 mol L −1 and 1.0 x 10-6 mol L −1. Algal cells were acclimated to the specifi c P concentrations before the start of the experiment. The chemical equilibrium software MINEQL + 4.61 was employed to calculate the Zn 2+ concentration. After acclimated, the algal cells were inoculated into media containing different Zn concentrations (0.09 x 10-6 mol L-1 to 9.08 x 10-6 mol L-1). The study showed that besides the reduction in algal growth rates, phosphorus had an important infl uence on the toxicity of zinc for microalga. The inhibitory Zn 2+ concentration values for R. subcapitata were 2.74 x 10-6 mol L-1 , 0.58 x 10-6 mol L-1 and 0.24 x 10-6 mol L-1 for the microalgae acclimated at P concentrations of 2.3 x 10-4 mol L-1 , 2.3 x 10-6 mol L-1 and 1.0 x 10-6 mol L-1 , respectively. Ecotoxicological studies should consider the interaction between metal concentrations and varying P values to provide realistic data of what occurs in phytoplankton communities in environments.

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“…There are also different parameters, including soil pH and texture, organic matter, as well as the presence of iron and aluminium oxides which modify the extraction of P by the plants [19,20]. Therefore, accurate knowledge of the dynamics of the studied soils, as well as the complex system of soil P for the plants, are key in agricultural lands and human soil health [21,22]. Some soil parameters can usually be estimated by modeling approaches using easily measured soil parameters, such as soil separates.…”

Section: Introductionmentioning

confidence: 99%

Estimating Soil Available Phosphorus Content through Coupled Wavelet–Data-Driven Models

et al. 2020

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Soil phosphorus (P) is a vital but limited element which is usually leached from the soil via the drainage process. Soil phosphorus as a soluble substance can be delivered through agricultural fields by runoff or soil loss. It is one of the most essential nutrients that affect the sustainability of crops as well as the energy transfer for living organisms. Therefore, an accurate simulation of soil phosphorus, which is considered as a point source pollutant in elevated contents, must be performed. Considering a crucial issue for a sustainable soil and water management, an effective soil phosphorus assessment in the current research was conducted with the aim of examining the capability of five different wavelet-based data-driven models: gene expression programming (GEP), neural networks (NN), random forest (RF), multivariate adaptive regression spline (MARS), and support vector machine (SVM) in modeling soil phosphorus (P). In order to achieve this goal, several parameters, including soil pH, organic carbon (OC), clay content, and soil P data, were collected from different regions of the Neyshabur plain, Khorasan-e-Razavi Province (Northeast Iran). First, a discrete wavelet transform (DWT) was applied to the pH, OC, and clay as the inputs and their subcomponents were utilized in the applied data-driven techniques. Statistical Gamma test was also used for identifying which effective soil parameter is able to influence soil P. The applied methods were assessed through 10-fold cross-validation scenarios. Our results demonstrated that the wavelet–GEP (WGEP) model outperformed the other models with respect to various validations, such as correlation coefficient (R), scatter index (SI), and Nash–Sutcliffe coefficient (NS) criteria. The GEP model improved the accuracy of the MARS, RF, SVM, and NN models with respect to SI-NS (By comparing the SI values of the GEP model with other models namely MARS, RF, SVM, and NN, the outputs of GEP showed more accuracy by 35%, 30%, 40%, 50%, respectively. Similarly, the results of the GEP outperformed the other models by 3.1%, 2.3%, 4.3%, and 7.6%, comparing their NS values.) by 35%-3.1%, 30%-2.3%, 40%-4.3%, and 50%-7.6%, respectively.

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Influence of phosphorus on copper toxicity to Selenastrum gracile (Reinsch) Korshikov

Cited by 22 publications

References 60 publications

Impacts of Aerosol Copper on Marine Phytoplankton: A Review

Impacts of Aerosol Copper on Marine Phytoplankton: A Review

Effect of phosphorus on the toxicity of zinc to the microalga Raphidocelis subcapitata

Estimating Soil Available Phosphorus Content through Coupled Wavelet–Data-Driven Models

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