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Development of a Forest Information Analysis System(FIAS1.5) for Position Dependent Forest Survey

Development of a Forest Information Analysis System(FIAS1.5) for Position Dependent Forest Survey
Woo-Kyun Lee• Se-Joon Doko• Woo-Hyuk Byun
ABSTRACT : This study was performed to develop a software in which sampling data measured by position dependent forest survey could be analyzed in various way. The system named as FIAS(Forest Information Analysis System) was developed with pull-down menu system and can be run in DOS operating system of IBM compatible PC. FIAS is composed of the file management part in which data could be input and corrected,the file selection part in which one file can be selected for analysis. the file analysis part in which various analysis is performed and the output part in whtch several analysis results could be output in monitor, file or printer.The analysis part is composed of 6 modules such as growth, competition, structure,diversity, aggregation, and graphic. In "growth" module, several growth factors such as mean dbh and height, site index, stem no. per ha, basal area and volume per ha, could be estimated and regression analysis between dbh an& diameter at 0.2m, between height and dbh, could be also performed. In "competition" module, tree-level size ratio competition indices proposed by Hegyi, Martin and Ek, Alemdag, Lorimer, Daniels, Spurr as well as stand-level competition indices such as Reineke's SDI, RSI and stocking could be estimated. In "structure" module, horizontal and vertical spatial structure indices by Gadow, structure index based on Lorenz curve could be processed. In "diversity" module, various diversity indices by Gadow, Shannon, Simpson and Hill, and also richness, evenness, important indices could be estimated. In "aggregation" module, aggregation indices by Clack-Evans, Ludwig-Reynolds and Johnson-Zimmer could be estimated. In "graphic" module, relation between dbh and diameter at 0.2m, height-dbh curve, position map of individual trees and dbh-class distribution could be graphically displayed.
Key words: software, Position dePendent survey, growth, comPetition, structure, diversity,
aggregation, graphic