Effect of seasonal changing temperature on the growth of phytoplankton

Abstract

An non-autonomous nutrient-phytoplankton interacting model incorporating the effect of time-varying temperature is established. The impacts of temperature on metabolism of phytoplankton such as nutrient uptake, death rate, and nutrient releasing from particulate nutrient are investigated. The ecological reproductive index is formulated to present a threshold criteria and to characterize the dynamics of phytoplankton. The positive invariance, dissipativity, and the existence and stability of boundary and positive periodic solution are established. The analyses rely on the comparison principle, the coincidence degree theory and Lyapunov direct method. The effect of seasonal temperature and daily temperature on phytoplankton biomass are simulated numerically. Numerical simulation shows that the phytoplankton biomass is very robust to the variation of water temperature. The dynamics of the model and model predictions agree with the experimental data. Our model and analysis provide a possible explanation of triggering mechanism of phytoplankton blooms.

Biological indicators as tools for monitoring water quality of a hot spot area on the Egyptian Mediterranean Coast

“…On a global scale, the temperature is considered an important explanatory variable for the rate of oxygen consumption, phytoplankton nutrient uptake (López-Urrutia and Morán 2015), metabolism, growth rates, survival, distribution, biomass (Chen et al 2017;Okbah et al 2017), and community structure (Edwards et al 2016;Zalat et al 2021). In the present study, the high temperature limited the growth of Euglenophyceae and Conjugatophyceae, while it enhanced the Dinophyceae and Mediophyceae.…”

The dominance and proportions of plankton in Pacific white shrimp (Litopenaeus vannamei) ponds cultivated with the intensive system in Bulukumba Regency, South Sulawesi, Indonesia

“…It encourages a study to explain the effect of these IOP Publishing doi:10.1088/1755-1315/1036/1/012057 2 changes on water quality in aquatic ecosystems [7]. The dynamics of phytoplankton community change are often associated with the bottom-up influence of environmental variables such as temperature [8], light and nutrients, [9] and phytoplankton-zooplankton interactions [10].…”

Positive periodic solution for generalized Basener-Ross model

“…In real life, both changes in the external environment and human living habits will lead to changes in parameters in the model. For example, the changes of climate conditions, the occurrence of natural disasters, the development and evolution of granite landforms, the changes of surface temperatures, and changes in the proportion of elements in air and soil all will lead to changes in resource carrying capacity and resource growth rate (see [3], [1], [8], [7]). In this paper, we consider the case that the parameters c, k are functions about t. Then system (1) is transformed into the following form…”