The laboratory is created in V.V. Dokuchaev Soil Science Institute of Russian Academy of Science on the basis of a team work of soil scientists, physicists, applied mathmaticians. Principle mission of the laboratory is to develop mathematical modeling of soils as complex systems, and also algorithms for collecting and handling monitoring data of soil properties. The laboratory carries out colaborative projects with other scientific and technological organizations.
Website of laboratory: ilmmss.github.io
Research overview
The research projects are aimed to study biosphere balance stability through studies of the soil cover as a complex self-organized system. Its relation with atmosphere is estimated through outgoing carbon dioxide flux, formed as a result of organic matter decomposition by microorganisms (heterotrophic respiration). Studying the nature of soil cover stability and probabilities of abrupt changes in it requires interdisciplinary system approach.
We carry out various soil regimes numerical simulations basing on regulation of microprocess dynamics. We study optimal agrophysical regimes, capable of maximal increase in soil fertility without danger of degradation. Present approach envolves soil physics, chemistry, microbiology and methods of mathematical and statistical physics, nonlinear dynamics, numerical methods, programming.
Up to now there is no theoretically based computational model of stable soil aggregate structure formation. Development of fundamental approach to solution of this problem is being carried out with the help of dynamic modeling. Existing hypothesis of qualitative statistical character do not provide predictive models and thus regulation of aggregation process is not yet possible.
Model under development can be used for prediction of changes in soil properties, in paticular, physical structure, multiparametric calculations at various perturbations (mechanical, chemical, hydraulic and etc.), as well as in carbon dioxide flux with climate change. Such dynamic model of soil structure is supposed to perform a theoretical basis for quantitative prediction of relationship between soil structure and rates of soil organic matter decomposition, soil progradation and degradation processes with natural-climatic and anthropogenic factors.
Team
Vasilyeva Nadezda
Head of the laboratory. Scientific supervision, modeling of nonlinear dynamics in complex systems. //nadezda.vasilyeva@gmail.com//
Vladimirov Artem
Senior researcher. Development of mathematical models, providing physical rationale for the models. Scientific computing. Co-supervision for master and PhD students of the laboratory.
Pashkov Alexander
Research associate. Providing mathmatical problem formulation, asssistance in numeric computations, parallel programming.
Vasilyev Taras
Research associate. Expert assistance in creating laboratory server and workflow automation. Expert assistance for scaling laboratory tasks.
Zaitseva Maria
Junior research associate. Analytical study of nonlinear dynamics in the models, bifurcation analysis, performing numerical experiments.
Matveev Sergey
Junior research associate. Developing soil aggregation submodel and fast parametrization algorithms. Software and supercomputing implementation.
