Journal of Environmental Science International (한국환경과학회지)

The Korean Environmental Sciences Society (한국환경과학회)
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Evaluation of Major Taper Equation Models for Developing a Stem Volume Table of Cryptomeria japonica in Jeju Island

제주도 삼나무 수간재적표 개발을 위한 주요 수간곡선식 비교

  • Hyun-Soo, Kim (Warm Temperate and Subtropical Forest Research Center, National Institute of Forest Science) ;
  • Su-Young, Jung (Warm Temperate and Subtropical Forest Research Center, National Institute of Forest Science) ;
  • Kwang-Soo, Lee (Warm Temperate and Subtropical Forest Research Center, National Institute of Forest Science)
  • 김현수 (국립산림과학원 난대.아열대산림연구소) ;
  • 정수영 (국립산림과학원 난대.아열대산림연구소) ;
  • 이광수 (국립산림과학원 난대.아열대산림연구소)
  • Received : 2022.09.21
  • Accepted : 2022.10.05
  • Published : 2022.11.30
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Abstract

This study was conducted to provide data and stem information to establish a local volume table of Cryptomeria japonica in Jeju Island. Stem analysis was performed on 26 trees by selecting two average trees from each site of the 13 plots of C. japonica stands in 2021 and 2022. During the analysis stage, one outlier tree was rejected, and a total of 260 observations of the specific stem height of 25 trees were used. Of the seven major taper equation models applied for parameter estimation and statistical verification, the Muhairwe 1999 model was found to be the best fit and selected as the optimal model. Stem shape-related estimates were acquired through the selected model, and sectional measurements according to the Smalian formula applied at an interval of 10 cm from the height of the stem were used to develop a volume table. A paired t-test comparison between the C. japonica volume obtained from the present study and those selected from the current yield table by NIFoS(2020), revealed significant differences (p<0.05), highlighting the necessity of a local volume table for C. japonica in Jeju Island.

Keywords

Acknowledgement

본 연구는 산림청 일반연구사업(과제번호: SC0600-2021-01)의 일부 지원으로 이루어진 것입니다.

References

  1. Bi, H., 2000, Trigonometric variable-form taper equations for Australian eucalyptus, Forest Science, 46, 397-409.
  2. Clark, J. F., 1902, Volume tables and the bases on which they may be built, Journal of Forest 1(1), 6-11.
  3. Eugster, W., 2008, Wind effects. In: Jorgensen SE, Fath BD(eds) Ecological processes, vol. 5 of Encyclopedia of Ecology, Elsevier, Oxford, 3794-3803.
  4. Gregoire, T. G., Schabenberger, O., Barrett, J. P., 1995, Linear modelling of irregularly spaced, unbalanced, longitudinal data from permanent-plot measurements, Canadian Journal of Forest Research, 25, 137-156. https://doi.org/10.1139/x95-017
  5. Gwon, J. H., Seo, H. Y., Lee, K. S., You, B. O., Park, Y. B., Jeong, J. Y., Kim, C. S., 2014, Equations and biomass expansion factors by stand density in Cryptomeria japonica plantations, Journal of Korean Forest Society, 103(2), 175-181. https://doi.org/10.14578/JKFS.2014.103.2.175
  6. Heinzel, J., Huber, M. O., 2017, Detecting tree stems from volumetric TLS data in forest environments with rich understory, Remote Sensing, 9(1), 9. https://doi.org/10.3390/rs9010009
  7. Jin, H. O., Chon, S. K., 1987, Classification of needle type and growth characteristics of Cryptomeria japonica planted in Cheju province, Journal of Korean Forest Society, 76(4), 57-61.
  8. Kang, J. T., Moon, H. S., Son, Y. M., Ahn, K. W., 2015, An estimation on the stem volume of Cryptomeria japonica in Jeju using Kozak's stem taper model, Journal of Korean Island, 27(3), 145-160.
  9. Kozak, A., 1988, A Variable-exponent taper equation, Canadian Journal of Forest Research, 18, 1363-1368. https://doi.org/10.1139/x88-213
  10. Kozak, A., 2004, My last words on taper equations, Forestry Chronicle, 80(4), 507-515. https://doi.org/10.5558/tfc80507-4
  11. Kozak, A., Munro, D. D., Smith, J. H. G., 1969, Taper functions and their application in forest inventory, Forestry Chronicle, 45, 278-283. https://doi.org/10.5558/tfc45278-4
  12. Lappi, J., 2006, A Multivariate, nonparametric stem-curve prediction method, Canadian Journal of Forest Research, 36, 1017-1027. https://doi.org/10.1139/x05-305
  13. Lee, D. S., Seo, Y. W., Lee, J. H., Choi, J. K., 2017, Estimation and validation of taper equations for three major coniferous species in Gangwon and North Gyeongsang provinces of South Korea, Journal of Forest and Environmental Science, 33(4), 315-321. https://doi.org/10.7747/JFES.2017.33.4.315
  14. Lee, Y. J., Hong, S. C., Kim, D. G., Oh, S. H., Kim, O. S., Cho, J. U., 2001, Estimation of individual tree volumes for the Japanese Red Cedar plantations, Journal of Korean Forest Society, 90(6), 742-746.
  15. Li, R., Weiskittel, A. R., 2010, Comparison of model forms for estimating stem taper and volume in the primary conifer species of the North American Acadian Region, Journal of Forest Science, 67, 302.
  16. Luoma, V., Saarinen, N., Kankare, V., Tanhuanpaa, T., Kaartinen, H., Kukko, A., Holopainen, M., Hyyppa, J., Vastaranta, M., 2019, Examining changes in stem taper and volume growth with two-date 3D point clouds, Forests, 10, 382. https://doi.org/10.3390/f10050382
  17. Max, T. A., Burkhart, H. E., 1976, Segmented polynomial regression applied to taper equations, Forest Science, 22, 283-289.
  18. Mctague, J. P., Weiskittel, A., 2021, Evolution, history, and use of stem taper equations: a review of their development, application, and implementation, Canadian Journal of Forest Research, 51, 210-235. https://doi.org/10.1139/cjfr-2020-0326
  19. Muhairwe, C. K., 1993, Examination and modelling of tree form and taper over time for interior lodgepole pine, Ph.D. Thesis, University of British Columbia, Canada.
  20. Muhairwe, C. K., 1999, Taper equations for Eucalyptus pilularis and Eucalyptus grandis for the north coast in New South Wales, Australia, Forest Ecological Management, 113, 251-269. https://doi.org/10.1016/S0378-1127(98)00431-9
  21. National Institute of Forest Science, 2004, Forest sites of Korea: forest soil research report, Seoul, Korea, 620.
  22. National Institute of Forest Science, 2020, Development of forest operation system for the management of Cryptomeria japonica and Chamaecyparis obtusa forests in Korea, Seoul, Korea, 122.
  23. National Institute of Forest Science, 2020, Stand volume⋅biomass and stand yield table, Seoul, Korea, 361.
  24. Saarinen, N., Kankare, V., Vastaranta, M., Luoma, V., Pyorala, J., Tanhuanpaa, T., Liang , X., Kaartinen, H., Kukko, A., Jaakkola, A., Yu, Xiaowei., Holopainen, M., Hyyppa, J., 2017, Feasibility of Terrestrial laser scanning for collecting stem volume information from single trees, Journal of Photogrammetry and Remote Sensing, 123, 140-158. https://doi.org/10.1016/j.isprsjprs.2016.11.012
  25. Seo, Y. O., Jung, S. C., Won, H. K., Lee, Y. G., 2015, Taper equation and stem volume table of Cryptomeria japonica in Jeju experimental forests, Journal of Agriculture & Life Science, 49(1), 71-77. https://doi.org/10.14397/jals.2015.49.1.71
  26. Sharma, M., Parton J., 2009, Modeling stand density effects on taper for jack pine and black spruce plantations using dimensional analysis, Forest Science, 55, 268-282.
  27. Tang, C., Wang, C. S., Pang, S. J., Zhao, Z. G., Guo, J. J., Lei, Y. C., Zeng J., 2017, Stem taper equations for Betula alnoides in South China, Journal of Tropical Forest Science 29(1), 80-92.
  28. Thomas, C. E., Parresol, B. R., 1991, Simple, flexible trigonometric taper equations, Canadian Journal of Forest Research, 21, 1132-113. https://doi.org/10.1139/x91-157
  29. Zhang, S., Sun, J., Duan, A., Zhang, J., 2021, Variable-exponent taper equation based on multilevel nonlinear mixed effect for Chinese fir in China, Forests, 12, 126. https://doi.org/10.3390/f12020126