Abstract
Simple distribution models (SDMs) have deficiencies in portraying irregular forest diameter structure. This paper introduces mixture distribution models (MDMs) to improve the estimation accuracy of stand volume of Siberian larch (Larix sibirica Ledeb.) forests. Stand volume was estimated by combining the suitable diameter mixture model and diameter–height model. Appropriate mixture models are derived by integrating multiple SDMs of Burr III and XII, Johnson SB, Weibull or lognormal probability density functions (pdf) that satisfied the criteria of goodness of fit tests. Results showed that the average bias of volume estimation for all of the study plots using SDM and MDM approaches are underestimated by 6.93 and 2.42 m3, respectively. Each of the estimates is equivalent to an estimation error of 25.59 ± 18.18 and 7.08 ± 2.97 %. This suggests that the MDM approach is a more flexible and suitable modeling technique for forest volume estimation, in particular for forests that have been frequently disturbed by natural events.
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Abbreviations
- dbh:
-
Tree diameter at breast height
- h :
-
Tree height
- SDM:
-
Simple distribution model/modeling
- MDM:
-
Mixture distribution model/modeling
- pdf:
-
Probability density function
- K–S:
-
Kolmogorov–Smirnov test
- A–D:
-
Anderson–Darling test
- χ 2 :
-
Chi-square test
- volT :
-
Total volume of a plot
- evolT :
-
Estimates of volT
- mvolT :
-
Measured volT
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Acknowledgments
This work was supported in part by the Forestry Bureau in Taiwan under Grant 100AS-8.3.3-FM-e1. Prof. Tsogt Zandraabal, who is with the Institute of Botany, Mongolia Academy of Sciences, is highly appreciated for his kind assistance in dealing with the ground survey of this study.
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Tsogt, K., Lin, C. A flexible modeling of irregular diameter structure for the volume estimation of forest stands. J For Res 19, 1–11 (2014). https://doi.org/10.1007/s10310-012-0380-z
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DOI: https://doi.org/10.1007/s10310-012-0380-z