Modeling of progressive-age dynamics of the mountain-taiga forest in Pribaikalye and maps of forest management optimization. Моделирование восстановительно - возрастной динамики горно - таежных лесов Прибайкалья и карты оптимизации лесопользования . Myasnikova Svetlana Ivanovna V.B. Sochava Institute of Geography SB RAS, (Irkutsk, Russia, tyara@irigs.irk.ru) Мясникова Светлана Ивановна Институт географии им . В . Б . Сочавы СО РАН ( г . Иркутск )
Problem: optimal management of mountain-taiga forest reserves in the area of the Khamar-Daban Range Goal: optimization of forest reserves for different stages of succession, different groups of forest types, and different bonitets Task: studying mechanisms of optimal behavior of ecosystem in local conditions using modeling interaction of different groups of species in the process of progressive-age succession based on the system analysis
The information image of a territory Scheme of procedures of the system Formulation of a problem, goals and tasks analysis for geoinformation modeling and Investigation of inner structure and determination of mapping of input parameters which are base for model building mechanisms of interaction of Selection of a model which provides the best solving ecosystems of set problem and building of its algorithms Calculation of the model coefficients taking into account given criteria of optimization Verification of stability of the model and including additional limitations Visualization of the results of modeling using methods of geoinformation mapping
The information image of the studied territory is generated as a GIS-project containing the database of forest characteristics for each forest unit (“videl”)
The following information was taken from the GIS database: • The age class of the main forest-forming species • The species composition of forest stands • The total reserves of a forest management unit • The area of a forest management unit • The type of forest Were identified three mutually interacting elements of forest: Small-leaved species ¢ Light-coniferous species ¢ Dark-coniferous species ¢ In their interaction these groups of species are responsible for the emergence of progressive-age succession in cutting-spots and fire- sites.
The optimality criterion is the maximum of the forest reserves within the given period The optimization problem is solved using the Pontryagin’s maximum principle. As a result, the progressive-age dynamics of mountain-taiga forest is analysed, the results of the analysis of the data, containing in GIS and calculated as a result of modeling are compared and the maps were generated for the directions and intensity of management of forest stands in terms of landscape planning.
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