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Application of Theoretical Growth Functions for Mongolian Oak(Qurcus Mongolica)
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作者 李长胜 孙剑峰 +1 位作者 吴振海 FrancoisHoullier 《Journal of Forestry Research》 SCIE CAS CSCD 1997年第4期195-200,共6页
Four alternative functions are used for lilting tree height and diameter growth models for mongolian oak(Quercus mongolica Fisch et Turcz)The data set includes 1250 random trees and 755 dominant trees coming from 510l... Four alternative functions are used for lilting tree height and diameter growth models for mongolian oak(Quercus mongolica Fisch et Turcz)The data set includes 1250 random trees and 755 dominant trees coming from 510lemporary plots The resultsshow that the Richads function is the best model for predicting height diameter at breast height(DBH) and dominant height from age The average growth curveof domnant height is used as a guide curve for the construction of a site index table which is partially validated using an independent data set The Mischerlic function is the bestmodel for estimating height and dominam height from DBH 展开更多
关键词 Growth functions richards function Site index Mongolian oak Quercus mognlica)
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A Computer Software-Epitimulator~ for Simulating Temporal Dynamics of Plant Disease Epidemic Progress 被引量:1
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作者 TAN Wan-zhong LI Cheng-wen +1 位作者 BI Chao-wei SUN Xian-chao 《Agricultural Sciences in China》 CAS CSCD 2010年第2期242-248,共7页
The objective of the present study was to develop a computer software for simulating the temporal development of plant disease epidemics using Richards, logistic, Gompertz, monomolecular, and exponential functions, re... The objective of the present study was to develop a computer software for simulating the temporal development of plant disease epidemics using Richards, logistic, Gompertz, monomolecular, and exponential functions, respectively, and for predicting disease with a fitted model. The software was programmed using Visual Basic (VB6.0) and packaged with the Wise Installation System. The Fibonacci ('0.618') section strategy was used to find out the most appropriate value for the shape parameter (m) in Richards function simulation through looping procedures. The software program was repeatedly tested, debugged and edited until it was run through favorably and produced ideal outputs. It was named Epitimulator based on the phrase 'epidemic time simulator' and has been registered by the National Copyright Department of China (Reg. no. 2007SR18489). It can be installed and run on personal computers with all versions of Windows operational systems. Data of disease index and survey time are keyed in or imported from Access files. The output of fitted models and related data of parameters can be pasted into Microsoft Excel worksheet or into Word document for editing as required and the simulated disease progress curves can be stored in separate graphic files. After being finally tested and completed, Epitimulator was applied to simulate the epidemic progress of corn northern leaf blight (Exserohilum turcicum) with recorded data from field surveys of corn crops and the fitted models were output. Comparison of the simulation results showed that the disease progress was always best described by Richards function, which resulted in the most accurate simulation model. Result also showed that forecast of northern leaf blight development was highly accurate by using the computed progress model from Richards function. 展开更多
关键词 plant disease dynamics richards function Epitimulator fitted model output epidemic forecast
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