Efficiency evaluation of transect and regression modeling in estimation and prediction of some coarse woody debris characteristics in Fandoghlou forest of Ardabil
Message:
Abstract:
Introducing a scientific method for correct inventory of forest woody debris that is a important structural part on these ecosystems can help sustainable management forest planning. This study carried out with the aim of efficiency evaluation of transect and regression modeling in estimation and prediction of some coarse woody debris characteristics in Fandoghlou forest of Ardabil. To this, line intersect sampling was applied based on probability theory, Huber and Smallian formula to estimate volume, weight, number, and projected area. The results of compared measurement based on sampling and census using ANOVA and Duncan test proved that line intersect sampling based on probability theory is the most efficient sampling method regarding to the least required time for setting and measuring in transects (11.6 minutes). On the other hand, the results of regression modeling showed that slope and distance from recreational area independent variables can predict volume and weight with more than 0.85 determination coefficient and number and projected area with more than 0.96 determination coefficient.
Article Type:
Research/Original Article
Language:
Persian
Published:
Journal of Plant Research, Volume:30 Issue:3, 2018
Pages:
752 - 761
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