Abstract:
To solve the problems of modeling complex ecological, socio-ecological and economic systems, a large number of computer models have been developed, from the simplest ones, which only roughly described the system under investigation, to fairly detailed ones, which allow for studying the behavior of a great number of interacting elements simultaneously. The development of views on the structure and patterns of ecosystem functioning, the improvement of computer technology, programming technologies, and the advanced mathematical theories create the background for a new stage in the development of the modeling in ecology. If earlier mathematical models, being very generalized, were created by individual scientists or small research groups, at present the development of complex models is impossible without utilizing the experience of many research teams using a diverse arsenal of methods and knowledge accumulated in forest science, ecology, plant physiology, soil science, climatology, and other sciences. As a part of the task of integrating several environmental models, a software and hardware solution was developed based on a special data exchange protocol, and methodological foundations were developed for the model integration. A system based on the dynamic FORRUS-S forest stand model, the Romul-Hum soil organic matter dynamics model, the SCLISS soil climate statistical generator, and the BioCalc biodiversity estimation for integrated assessment of the trade-offs and synergies dynamics at different forest management scenarios has been created. Using this system of models, a prediction of timber production, carbon accumulation in soil organic matter, and biodiversity dynamics was made for large forest area.
Citation:
P. Ya. Grabarnik, O. G. Chertov, S. I. Chumachenko, V. N. Shanin, L. G. Khanina, M. V. Bobrovsky, S. S. Bykhovets, P. V. Frolov, “The integration of simulation models for complex evaluation of different forest ecosystem services: methodological approaches”, Mat. Biolog. Bioinform., 14:2 (2019), 488–499
\Bibitem{GraCheChu19}
\by P.~Ya.~Grabarnik, O.~G.~Chertov, S.~I.~Chumachenko, V.~N.~Shanin, L.~G.~Khanina, M.~V.~Bobrovsky, S.~S.~Bykhovets, P.~V.~Frolov
\paper The integration of simulation models for complex evaluation of different forest ecosystem services: methodological approaches
\jour Mat. Biolog. Bioinform.
\yr 2019
\vol 14
\issue 2
\pages 488--499
\mathnet{http://mi.mathnet.ru/mbb398}
\crossref{https://doi.org/10.17537/2019.14.488}
Linking options:
https://www.mathnet.ru/eng/mbb398
https://www.mathnet.ru/eng/mbb/v14/i2/p488
This publication is cited in the following 6 articles:
V. N. Shanin, I. V. Priputina, P. V. Frolov, D. N. Tebenkova, S. S. Bykhovets, S. I. Chumachenko, “Predictions of Carbon Stock in the Southern Moscow Region Forests Under Different Forest Use Scenarios”, Lesovedenie, 2024, no. 2, 126
V. V. Kiseleva, V. N. Karminov, S. I. Chumachenko, A. Yu. Agol'tsov, E. M. Mitrofanov, “Assessment of Spatial Heterogeneity of Soil Properties upon Monitoring Carbon Stocks in Forest Ecosystems”, Eurasian Soil Sc., 57:11 (2024), 1795
I. V. Priputina, V. N. Shanin, P. V. Frolov, S. I. Chumachenko, D. N. Tebenkova, “Model Estimates of Changes in Soil Organic Matter Stocks in Forested Areas of European Russia under Different Forest Management Regimes”, Eurasian Soil Sc., 57:11 (2024), 1950
V. N. Shanin, I. V. Priputina, P. V. Frolov, D. N. Tebenkova, S. S. Bykhovets, S. I. Chumachenko, “Predictions of Carbon Stock in Forests of the Southern Moscow Region under Different Scenarios of Forest Use”, Contemp. Probl. Ecol., 17:7 (2024), 1030
G. S. Rozenberg, N. V. Kostina, G. E. Kudinova, A. G. Rozenberg, “Environmental Digitalization as a Task of Engineering Environment (Review of the Problem)”, Biol Bull Rev, 13:6 (2023), 736
L.G. Khanina, N.V. Ivanova, M.P. Shashkov, V.E. Smirnov, M.S. Romanov, V.N. Shanin, P.V. Frolov, E.M. Glukhova, M.V. Bobrovsky, Proceedings of the International Conference “Mathematical Biology and Bioinformatics”, 9, Proceedings of the International Conference “Mathematical Biology and Bioinformatics”, 2022