MSc
A teak density management diagram was constructed using the stand inventory data on teak collected from Parambikulam, Thrissur and Chalakudy areas. Density management diagram is a graphical representation of the stand growth through time, in terms of density and quadratic diameter, volume, height and Reineke’s stand density index. A size –density based index such as Reineke’s stand density index incidentally provides a good biological basis for the translation of management objective into levels of growing stock. Stand density index (SDI) incidentally is also independent of site quality and age. The data – set also revealed that Parambikulam is a better site for teak followed by Thrissur and Chalakudy. The maximum SDI for teak was found to be 600 which probably covers all possible combinations of size and density included in the data – set.
The use of diagram for designing two alternate density management regimes for a hypothetical stand is illustrated. Designing a density management regime requires the translation of management objectives into appropriate levels of growing stock. Maximization of volume production and maximization of individual tree growth are the two alternate but contrasting silvicultural strategies in this context. For maximization of volume per unit area the level of the growing stock should fall in the zone 11 of the Langsaeter’s curve. On the other hand, if the land management objective is to maximize individual tree growth, then trees should not experience much competition (preferably in zone 1 of the Langsaeter’s curve). So, in the former case the levels of growing stock will be naturally higher than that of latter.
After fixing the appropriate upper and lower levels of size – density relations the stand is allowed to grow till it reaches upper limit and then thinned down to the lower limit. This process is repeated as many times as necessary. The diagram has diverse utility from designing alternate density management regimes to comparing the results of optimization analyses. However, it suffers from some shortcomings such as lack of memory, prediction of same rotation age irrespective to the path taken by stand, rotation ending before culmination of periodic annual increment, the assumption of single maximum size – density relationship and slight bias of the model with respect to the independent variables outside the range of the data base. However, with more work many of these defects could be over come.
BookPublisher: Vellanikkara Faculty of Agriculture, College of Forestry 1990DDC classification: 634.9 Online resources: Click here to access online | Click here to access online Dissertation note: MSc Abstract: A teak density management diagram was constructed using the stand inventory data on teak collected from Parambikulam, Thrissur and Chalakudy areas. Density management diagram is a graphical representation of the stand growth through time, in terms of density and quadratic diameter, volume, height and Reineke’s stand density index. A size –density based index such as Reineke’s stand density index incidentally provides a good biological basis for the translation of management objective into levels of growing stock. Stand density index (SDI) incidentally is also independent of site quality and age. The data – set also revealed that Parambikulam is a better site for teak followed by Thrissur and Chalakudy. The maximum SDI for teak was found to be 600 which probably covers all possible combinations of size and density included in the data – set.
The use of diagram for designing two alternate density management regimes for a hypothetical stand is illustrated. Designing a density management regime requires the translation of management objectives into appropriate levels of growing stock. Maximization of volume production and maximization of individual tree growth are the two alternate but contrasting silvicultural strategies in this context. For maximization of volume per unit area the level of the growing stock should fall in the zone 11 of the Langsaeter’s curve. On the other hand, if the land management objective is to maximize individual tree growth, then trees should not experience much competition (preferably in zone 1 of the Langsaeter’s curve). So, in the former case the levels of growing stock will be naturally higher than that of latter.
After fixing the appropriate upper and lower levels of size – density relations the stand is allowed to grow till it reaches upper limit and then thinned down to the lower limit. This process is repeated as many times as necessary. The diagram has diverse utility from designing alternate density management regimes to comparing the results of optimization analyses. However, it suffers from some shortcomings such as lack of memory, prediction of same rotation age irrespective to the path taken by stand, rotation ending before culmination of periodic annual increment, the assumption of single maximum size – density relationship and slight bias of the model with respect to the independent variables outside the range of the data base. However, with more work many of these defects could be over come.
Theses
There are no comments for this item.