Journal of Korean Society of Forest Science (한국산림과학회지)

Korean Society of Forest Science (한국산림과학회)
권호 표지
DOI QR코드

DOI QR Code

Estimation and Comparison of Stem Volume for Larix kaempferi in South Korea using the Stem Volume Model

수간재적모델에 따른 일본잎갈나무의 수간재적 추정 및 비교

  • Ko, Chi-Ung (Division of Forest Industry Research, National Institute of Forest Science) ;
  • Moon, Ga-Hyun (Division of Forest Industry Research, National Institute of Forest Science) ;
  • Yim, Jong-Su (Division of Forest Industry Research, National Institute of Forest Science) ;
  • Lee, Sun-Jeoung (Division of Forest Industry Research, National Institute of Forest Science) ;
  • Kim, Dong-Geon (Department of Ecology and Environment System, Kyungpook University) ;
  • Kang, Jin-Taek (Division of Forest Industry Research, National Institute of Forest Science)
  • 고치웅 (국립산림과학원 산림산업연구과) ;
  • 문가현 (국립산림과학원 산림산업연구과) ;
  • 임종수 (국립산림과학원 산림산업연구과) ;
  • 이선정 (국립산림과학원 산림산업연구과) ;
  • 김동근 (경북대학교 생태환경시스템학과) ;
  • 강진택 (국립산림과학원 산림산업연구과)
  • Received : 2019.08.16
  • Accepted : 2019.10.11
  • Published : 2019.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

This study aimed to develop an equation for estimating stem volume for Larix kaempferiin South Korea using independent variables, diameter at breast height (DBH), and height as being closely associated with stem volume. Analysis was conducted on the growth performance of 2,840 Larix kaempferi samples across South Korea after felling them and gleaning diameter data according to both stem height and stem analyses. In order to test the fitness of six different stem taper equations, empirical assessment was conducted for fitness index (FI), bias, mean, and absolute deviation (MAD), and coefficient variation (%CV). The two selectedmodels found to be optimal were the following: model one (V=a+bDBH2), established by employing DBH only; and model four (V=a+bDBH2H), established by utilizing DBH and height, respectively. The findings of non-linear regression indicated statistical significance (p < 0.05) in a and b, which were the coefficients for the intercepts and slopes of the models. The FI of the models ranged between 94% and 99%, and the bias was close to zero, while MAD ranged from 0.01 to 0.05, and %CV from 5.97 to 14.43, indicating a high level of fitness. Thus, using the suggested models, the basic information necessary for forest management was obtained, and an estimation of the stem volume was effected without delay soon after effecting DBH and height measurements.

본 연구는 수간재적과 상관관계가 높은 흉고직경과 수고를 독립변수로 하여 우리나라 일본잎갈나무의 수간재적 추정식을 개발하고자 하였다. 전국의 분포하고 있는 일본잎갈나무를 총 2,840본의 표준목을 벌채하여 수간고별 직경과 수간석해 자료를 수집하여 생장특성을 조사하였다. 6개의 수간재적모델의 적합도 검정을 위하여 적합도지수, 편차, 평균절대편차, 변이계수를 이용하여 모델의 적합성을 판단하였다. 최종 선정된 모델은 흉고직경만을 이용한 Model 1(V=a+bDBH2), 흉고직경과 수고를 이용한 Model 4(V=a+bDBH2H)가 최적의 모델로 선정되었다. 비선형회귀분석을 통한 모델의 절편과 기울기계수인 a, b는 0.05수준에서 통계적으로 유의한 값을 보였다. 적합도지수는 94%~99%로 나타났고, 편차는 두 모델이 0에 근접하였으며, 평균절대편차는 0.01~0.05, 변이계수는 5.97~14.43으로 높은 적합도를 보였다. 본 연구에서 제시된 수간재적모델을 이용하여 현장에서 흉고직경 또는 흉고직경과 수고를 측정한 후 바로 재적을 추정할 수 있으며, 산림경영에 필요한 기초 정보를 제공해 줄 것이다.

Keywords

References

  1. Avery, T.E. and Burkhart, H.E. 1994. Forest Measurements. Ed. 4th. McGraw-Hill, Inc., New York. pp. 408.
  2. Burkhart, H.E. 1977. Cubic-Foot volume of loblolly pine to any merchantable top limit. Southern journal of applied forestry. pp. 7-9.
  3. Dorado, F.C., Dieguez-Aranda, U., Anta, M.B., Rodriguez, M.S. and Gadow, K.V. 2006. A generalized heightdiameter model including random components for radiata pine plantation in northwestern Spain. Forest Ecology and Management. 22(9): 202-213.
  4. Hjelm, B. 2011. Taper and volume equations for poplar trees growing on farmland in Sweden. swedish university of agricultural sciences. Department of energy and technology.
  5. Honer, T.G. 1965. A new total cubic foot volume function. Forestry Chronicle 41(4): 476-493. https://doi.org/10.5558/tfc41476-4
  6. Jeon, B.H., Lee, S.H., Lee, Y.J., Kim, H. and Kang, H.M. 2007. Estimation of Site Index and stem volume equations for Larix kaempferi stand in jinan, chonbuk. Journal of Korean Forest Society 96(1): 40-47.
  7. Johansson, T. 2014. Stem and merchantable volume equations for hybrid aspen growing on farmland in Sweden. Swedish University of Agricultural Sciences. pp. 26.
  8. Kachamba, D.J. and Eid, T. 2016. Total tree, merchantable stem and branch volumemodels for miombo woodlands of Malawi. Journal of Southern Forests 2016(1): 1-11.
  9. Kang, J.T., Son, Y.M., Kim, S.W., Park, H. and Hwang, J.S. 2014. Development of Local Stem Volume Table for Larix kaempferi using Kozak's Stem Taper Model. Journal of Agriculture & Life Science 48(6): 119-131. https://doi.org/10.14397/jals.2014.48.6.119
  10. Kim, J.S., Lee, W.K., Byun, W.H. 1994. Regional stem curve and volume function model of pinus densiflora in Kangwon-province. Journal of Agriculture & Life Science 83(4): 521-530.
  11. Ko, C.U., Kang, J.T., Son, Y.M. and Kim, D.G. 2019. Estimating stem volume using stem taper equation for Quercus mongolica in South Korea. Forest Science and Technology 15(2): 58-62. https://doi.org/10.1080/21580103.2019.1592785
  12. Korea Forest Service. 2013. Assessment of the Korea Forest Resources. pp. 59.
  13. Korea Forest Service. 2018. Statistical Yearbook of Forestry. pp. 444.
  14. Kozak, A. 1988, A Variable-exponent Taper Equation. Canadian Journal of Forest Research 18(11): 1363-1368. https://doi.org/10.1139/x88-213
  15. Kozak, A. and Kozak, R. 2003. Does cross validation provide additional information in the evaluation of regression models. Canadian Journal of Forest Research. 33(6): 976-987 https://doi.org/10.1139/x03-022
  16. Lee, K.H., Son, Y.M., Chung, Y.G. and Lee, W.K. 1999. A taper and volume prediction system for Pinus densiflora in Kangwon province, Korea. Korea Forest Institute Journal of Forest Science 62: 155-166.
  17. Lee, W.K. 1993. Wachstums-und Ertragsmodelle fur Pinus densiflora in der Kangwon-Provinz. korea. Germany. Dissertation, Gottingen Universtiy.
  18. 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.
  19. National Institute of Forest Science. 2004. Tree resources assessment and forecating system of major species tree. Research Report on Korea Forest Research Institute. Seoul, Korea, pp. 123.
  20. National Institute of Forest Science. 2012. Economic tree species4. Research Report on Korea Forest Research Institute. Seoul, Korea, pp. 16.
  21. National Institute of Forest Science. 2015. Stumpage volume.Biomass and Stand yield table. Seoul, Korea, pp. 212.
  22. SAS Institute Inc. 2013. SAS/STAT 9.4 User's Guide. SAS Institute Inc., Cary, NC, USA.
  23. Schlaegel, B.E. 1984. Sweetgum volume and weight tables. Res. Pap. So-204. New Orleans, LA: U.S. Department of Agriculture, forest service, Southern Forest Experiment Station. pp. 14.
  24. Seo, Y.O., Jung, S.C., Won, H.K. and Lee, Y.J. 2014. 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
  25. Seo, Y.O., Lumbres, R.I., Lee, Y.J. and Jung, S.C. 2016. Development and Validation of Tree Volume Models for Camellia japonica in Jeju Island. Journal of Agriculture & Life Science 50(6): 87-93. https://doi.org/10.14397/jals.2016.50.6.87
  26. Seo, Y.O., Lumbres, R.I., Won, H.K., Jung, S,C. and Lee, Y.J. 2015. Evaluation and validation of stem volume models for Quercus glauca in the subtropical forest of Jeju Island, Korea. Journal of Rcology and Environment 38(4): 485-491. https://doi.org/10.5141/ecoenv.2015.051
  27. Son, Y.M., Jeon, J.H., Pyo, J.K., Kim, K.N., Kim, S.W. and Lee, K.H. 2012. Development of Stem Volume Table for Robinia pseudoacacia Using Kozak's Stem Profile Model, Journal of Agriculture & Life Science 46(6): 43-49.
  28. Son, Y.M., Kim, H., Lee, H.W., Kim, C.M., Kim, C.S., Kim, J.W., Joo, R.W. and Lee, K.H. 2009. Taper equations and stem volume table of Eucalyptus pellita and Acacia mangium plantations in Indonesia. Journal of Korean Forest Society 98(6): 633-638.
  29. Son, Y.M., Lee, K.H., Kim, R.H. and Seo, J.H. 2007. Development of Stem Profile and Taper Equation for Quercus acuta in Wando. Korean Journal of Forest Measurements 10 pp. 1-6.
  30. Zar, J.H. 1996. Biostatistical Analysis. Ed. 3rd. Prentice-Hall, Inc., New Jersey. pp. 662.