Результаты поиска по 'soil fertility':
Найдено статей: 2
  1. Priputina I.V., Frolova G.G., Shanin V.N.
    Substantiation of optimum planting schemes for forest plantations: a computer experiment
    Computer Research and Modeling, 2016, v. 8, no. 2, pp. 333-343

    The article presents the results of computer simulations aimed to assess the influence of tree spatial locations (planting schemes) on the productivity and the dynamics of soil fertility in forest plantations. The growth of aspen (Populus tremula L.) in plantations with short rotation (30 years) was simulated in the EFIMOD system of models with the soil and climatic data matching forested lands in the Mari El Republic. The outcome reveals that higher biomass rates, increase in soil organic matter stocks, and the minimal loss of soil nitrogen can be obtained when the distance between trees in the row equals 1–4 m and 4–6 м in aisles.

    Keywords: computer simulation, ecosystem dynamics, spatial structure, forest plantations, planting scheme, biomass production, soil fertility.
    Views (last year): 2. Citations: 2 (RSCI).
  2. Chetyrbotskii V.A., Chetyrbotsky A.N.
    Problems of numerical simulation in the dynamics system “soil–plant”
    Computer Research and Modeling, 2020, v. 12, no. 2, pp. 445-465

    Modern mathematical models in the dynamics system “soil–plant” are considered. The components of this system are: agricultural plant, microorganisms of the rhizosphere (root zone of plants), the mineral nutrition elements of plants in their mobile and immobile forms. The model of submitted system based on the analysis of the adopted provisions was developed. The construction of system elements allows to display the coordinated dynamics of these elements among themselves. In particular, the dynamics of mineral nutrition elements in plants and the dynamics of their biomass are determined by the current contents in the rhizosphere of mineral fertilizers and organic origin substances (plant roots, leaves, etc.). The immobility of plants spatial distribution and the mobile spatial nature of microorganisms are assumed. This mechanism is determined by diffusion. Mutual relationships between weeds and pests are suggested. The dynamics of the mineral nutrition elements is determined by the peculiarity of sorption in the soil solution, environmental conditions, organic decomposition and fertilizer application. An analytical study for a system where each of the components is represented by only one species (fertilizer, the association of microorganisms and plants) was performed. An adaptation of the wave propagation model in the “resource–consumer” system (Kolmogorov–Petrovsky–Piskunov waves) has been developed for annual agricultural crops. The developed model has been adapted for the growth of Krasnoufimskaya-100 spring wheat in a vessel on peat lowland soil, where nitrogen, phosphorus, and potassium fertilizers were added variably. Sample distributions are plants biomass and the content of mineral nutrition elements in them. The parametric identification of the model and its adequacy was performed. An assessment of the model adequacy showed a good agreement between the model and experimental data.

    Keywords: models of biomass dynamics, dynamics of rhizosphere biophilic elements, parametric identification of a mathematical model.

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