Modification of a soil–vegetation nonlinear interaction model with acid deposition for simplified experimental applicability

Guala, Sebastián; Vega, F.A.; Covelo, Emma F.

doi:10.1016/j.ecolmodel.2009.05.008

Cited by 12 publications

(14 citation statements)

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“…De Leo et al (1993) modeled the interaction between soil acidity and forest dynamics with respect to the mobilization of Al. Guala et al (2010a) modified the model of De Leo et al (1993) and Guala et al (2009) in order to study the mobility of metals at different soil pH. In addition, Guala et al (2010a, b) adapted the mathematical equations to involve different plants and different metals in the model.…”

Section: Effects Of Metal Uptake On Plant Growthmentioning

confidence: 99%

Phytoextraction of Metals: Modeling Root Metal Uptake and Associated Processes

et al. 2014

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IntroductionPhytoextraction is a process which can remove the soluble (bioavailable) metal pool from soil or aqueous solutions using different kinds of terrestrial or aquatic plants. This transport may be divided into three different steps: (1) absorption from the solution (e.g., soil solution), (2) transport to the root xylem, and (3) transport to the shoots (Mench et al. 2009).A modern approach, how to evaluate the extraction potential of selected plants as well as how to plan and design the most effective metal phytoextraction, is the ability to relevantly model this process. There are many studies aimed at the modeling of metal transport. Nevertheless, there is a limited amount of present studies, which are focused on the modeling of the phytoremediation process. In general, developing an applicable model requires sufficient conceptual model description and a fundamental theoretical understanding of the studied system, as well as its experimental equipment and measurement; these are all crucial aspects required to create a relevant simulation of studied problem. This chapter attempts to describe the problems associated with metal phytoextraction modeling. The term "root metal uptake" is crucial for the simulation of phytoremediation of metals, which is a concrete modification of the general term "root uptake." Root uptake is one of the most important processes considered in numerical models because root surfaces represent the first-phase boundaries in nature for nutrients and toxic elements. In order to efficiently model the phytoextraction processes, it is essential to provide information about (1) the spatiotemporal concentration changes of metals in the root-influenced soil and (2) the cumulative uptake of metals per unit length of root over time (Darrah et al. 2006). Root UptakeDetermining water and metal uptake by plant roots and their subsequent translocation into the tissues of the aerial parts is obviously critical for assessing the modeling of phytoremediation options. Because metals are taken up by plants dissolved in water, it is crucial to have information about the transport of water and the hydraulic properties of the roots. Root Water UptakeWater is primarily absorbed by the root hairs and other root zones and then transported to the aerial parts in xylem tissues. Water absorption by the plants is mainly a response to the water potential gradient (from low to high energy) from the rhizosphere to the xylem of the roots. Soil water has a lower total solute concentration than plant water, and hence the osmotic gradient tends to drive water from the soil into the root. The rate of water uptake from the soil depends on rooting density, the hydraulic conductivity of the roots, and the difference between average soil-water suction and root suction. The root hydraulic conductivity is a measure of the amount of water transported by the root in an interval of time at a determinate pressure [mg g et al. 1987). It depends on osmotic potential gradients which result from differences in the composition and t...

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Section: Effects Of Metal Uptake On Plant Growthmentioning

confidence: 99%

Phytoextraction of Metals: Modeling Root Metal Uptake and Associated Processes

et al. 2014

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“…De Leo et al (1993) have modelled the interaction between soil acidity and forest dynamics when aluminium is mobilized with acid deposition. Guala et al (2009) have simplified this model to allow it to be experimentally validated. Guala et al (2010a) have modified the model to make it independent of the acidity while assuming the mobility of heavy metals at different soil pH.…”

Section: Modellingmentioning

confidence: 99%

Development of a model to select plants with optimum metal phytoextraction potential

Guala

Vega

Covelo

2011

Environ Sci Pollut Res

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“…In the absence of concrete information, the system functions were delayed by the hypothesis: the proton flow in soil due to constant rain (0.005 mg · (m 2 ·year) -1 ), soil water available to roots with a sinusoidal distribution with a mean of 10 mm and the amplitude 7 mm, the frequency 1,825 year -1 , and the growth and mortality rates, calculated after [2]. The variation of the growth control function -the temperature, is given taking into account the average monthly temperature and the corresponding diurnal variation, according to the graphical representation in Figure 1.…”

Section: Methodsmentioning

confidence: 99%

“…The lot of the parameters used in the mathematical model of heavy metal transfer in the soil-plant interaction is given in Table 1. In order to mathematically model the dynamic interaction between aluminium mobility, given by the soil acidity, and plants, [7] uses a mathematical model proposed in [1] and modified in [2], given by the following equation system:…”

Section: Methodsmentioning

confidence: 99%

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Theoretical research on evolution of health of plants affected by heavy metal absorption process

Cârdei

Tudora

2018

Engineering for Rural Development

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Abstract. The paper presents a modified version of the mathematical model of the heavy metal transfer process. The changes start from the beliefs of the authors that the factors that govern the plant's evolution (germination, growth and vegetative development, senescence and death) are environmental factors (structure and chemical composition of soil and air, their humidity, soil pH, lighting, applied fertilization, meteorological events, etc.) and not the time. Time is an artificial parameter introduced to provide a simpler reporting of dynamic processes. We do not know if time has simplified, or if it kept the truth in reporting the results, but it is the most common parameter used for this purpose. Of the influential factors, only the temperature and the concentration of heavy metal ions in the soil are considered in this article. The paper presents simulations using minimal experimental data, model constants being obtained by calibration. Effects of increasing delay and triggering of the biomass descending process were achieved (phytoremediation also). The experiments required to increase the performance of the model, the theoretical and practical efficiency of such attempts are estimated. These appreciations allow readers to reflect, to try to estimate the theoretical and practical efficiency of such attempts.Keywords: plants, bioaccumulation, disease, models, simulation. IntroductionThe paper presents a modified version of the mathematical model of the heavy metal transfer process developed in [1] and [2]. Mathematical models of heavy metal bioaccumulation are often simplified as much as possible to make them more intuitive, but also because the simple model requires less experimental data. The process of bioaccumulation of heavy metals in plants is a very complex one, which influences the physiological processes: feeding, development, quantity and quality of accumulated biomass, life span, etc. For these reasons, in this paper we have opted for a slightly more complex bioaccumulation model than, for example, in [3]. In turn, this model has been modified by introducing the influence factors that reflect the impact of the environmental factors to the plant life. This approach is in line with the authors' belief that time is not the parameter that makes the plant to evolve, but the effective control factors for the system: temperature, illumination, soil pH or development environment, environmental conductivity, rainfall regime, fertilization, etc. The environmental or management command factors can be expressed through a product with the role of introducing energy into the plant's bio-system, in various forms, energy harnessed by the plant by growth, generally by evolution (vegetative development). Besides these factors, there are other environmental factors that also provide energy elements that are likely to be unsuitable for the biosystem and which lead to nutritional deficiencies leading to slowing growth, various diseases, etc.The mathematical modelling of bioaccumulation of heavy metals aims both to k...

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Modification of a soil–vegetation nonlinear interaction model with acid deposition for simplified experimental applicability

Cited by 12 publications

References 29 publications

Phytoextraction of Metals: Modeling Root Metal Uptake and Associated Processes

Phytoextraction of Metals: Modeling Root Metal Uptake and Associated Processes

Development of a model to select plants with optimum metal phytoextraction potential

Theoretical research on evolution of health of plants affected by heavy metal absorption process

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