Bala O. The system of modeling of growth estimation and prognosis for artificial mixed Oak stands in Ukrainian Foreststep

Object - Object - Growth process in artificial mixed modal forest stands in Foreststep of Ukraine.Methods - Theoretical and methodical investigation do with use of system approach to forest growth processes modelling with use of computer science. Field investigation were provided with typical in forest inventory techniques. Calculations were fulfilled on the basis of data base of temporal sample plots and data base "Stratum inventory characteristics of forests" which is part of informational system "Management of Forest resources". To define a correlation and its strength between biometrics characteristics, their relations modelling, calculation of distribution statistics biometrics and mathematical statistic technique have been applied. Acceptability and adequacy of the mathematical models were evaluated with standard methods of mathematical statistics. To compare findings results the graphical and analytical methods were implemented.The science newness of the results are follow: in the fist time the difference between biometrics characteristics of Oak forest stands in left-bank part and right-bank part of Foreststep zone of Ukraine has been established on the basis of stratum inventory data base; in the first time the dynamical forest site scale for artificial mixed modal Oak stands has been elaborated; mathematical models of main biometrics characteristics dynamic have been elaborated and modal yield tables for artificial mixed modal Oak stands have been calculated; algorithm of actualisation and complex universal mathematical models for growth prognosis of main biometrics characteristics of forest stand according to Foreststep regions and forest sites. Results - To solve a range of production and science tasks it may be recommended: dynamical forest site scale for artificial mixed modal Oak stands in Foreststep; modal yield tables for artificial mixed modal Oak stands according to regions and forest sites separately; algorithm and complex of mathematical models of growth prognosis of main biometricscharacteristics to actualise the data base "Forest Fund of Ukraine". Yield tables will help to evaluate really the actual condition of forest stands and make correct decisions regarding organization, planning and forestry operations management. Mathematical models complex for growth prognosis of Oak stands has been delivered to Inventory Association "Ukrderjlisproect" for actualisation of biometrics characteristics in the data base "Forest Fund of Ukraine". Branch - forestry.