Loading...
Thumbnail Image

Theses

Browse

Search Results

Now showing 1 - 1 of 1
  • ThesisItemOpen Access
    STATISTICAL INVESTIGATION FOR VOLUME TABLE OF EUCALYPTUS SPECIES
    (2015) ISHANT, KUMAR; GUPTA, R.K.
    The present investigation entitled “Statistical investigation for volume table of Eucalyptus species” was carried out in the University area of Dr. Y S Parmar University of Horticulture and Forestry, Nauni, Solan (HP) India. For the purpose, secondary data for diameter and height of Eucalyptus plantations was collected from four different sites viz. Khaltoo, Ucchagaon, Kharkog and Pandah. 150 trees of Eucalyptus tereticornis from each plantation site were selected and the data were subjected to variability analysis in order to test the variability among different sites. Bartlett's chi-square test for testing the homogeneity of variances suggested that there were no variability with respect to DBH, height and volume among different sites. Site wise comparison was also performed to test the equality of means among different sites. Maximum mean diameter (m) was observed at Khaltoo (0.2097) and minimum was observed at Ucchagaon (0.1767). Mean height (m) was observed maximum in Kharkog (10.6374) and minimum in Pandah (9.7873). Maximum mean volume (m3) was recorded at Khaltoo (0.3955) and Minimum mean volume was recorded at Ucchagaon (0.2105) which was statistically at par with Kharkog (0.2815). Various distribution was fitted to find out the number of trees in each diameter class and its significance was tested by using Kolmogorov-Smirnov test statistic. Normal and log-normal distributions were observed best fitted on the basis of Kolmogorov-Smirnov test statistic and it was concluded that these two distributions can be used to estimate number of trees in various diameter classes. Regression analysis was done to estimate the volume of Eucalyptus trees using ordinary least square estimation method. For the construction of one way volume table, quadratic model (V= 0.0044 - 0.2574 D + 9.3784 D2) was observed best fit on the basis of maximum R2 value (0.97) and minimum root mean square value (0.0010) whereas linear model (V = 0.0003+0.7842 D2H) was observed best fit for the construction of two way volume table on the basis of highest R2 value (0.96) and least root mean square error value (0.0282). These models may be used for the construction of volume table.