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Tree Size Distribution Modelling : Moving from Complexity to Finite Mixture

첫 페이지 보기
  • 발행기관
    강원대학교 산림과학연구소 바로가기
  • 간행물
    Journal of Forest and Environmental Science KCI 등재 바로가기
  • 통권
    제36권 제1호 (2020.03)바로가기
  • 페이지
    pp.7-16
  • 저자
    Friday Nwabueze Ogana, Onyekachi Chukwu, Samuel Ajayi
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A372320

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원문정보

초록

영어
Tree size distribution modelling is an integral part of forest management. Most distribution yield systems rely on some flexible probability models. In this study, a simple finite mixture of two components two-parameter Weibull distribution was compared with complex four-parameter distributions in terms of their fitness to predict tree size distribution of teak (Tectona grandis Linn f) plantations. Also, a system of equation was developed using Seemingly Unrelated Regression wherein the size distributions of the stand were predicted. Generalized beta, Johnson’s SB, Logit-Logistic and generalized Weibull distributions were the four-parameter distributions considered. The Kolmogorov-Smirnov test and negative log-likelihood value were used to assess the distributions. The results show that the simple finite mixture outperformed the four-parameter distributions especially in stands that are bimodal and heavily skewed. Twelve models were developed in the system of equation-one for predicting mean diameter, seven for predicting percentiles and four for predicting the parameters of the finite mixture distribution. Predictions from the system of equation are reasonable and compare well with observed distributions of the stand. This simplified mixture would allow for wider application in distribution modelling and can also be integrated as component model in stand density management diagram.

목차

Abstract
Introduction
Materials and Methods
Data
Four-parameter distribution models
Finite mixture (FM) distribution
Fitting and evaluation
Modelling the diameter distribution with stand variables
Result and Discussion
Fits of the distribution
Modeling the diameter distribution with FM
Conclusion
References

키워드

finite mixture four-parameter distributions teak seemingly unrelated regression Weibull distribution

저자

  • Friday Nwabueze Ogana [ Department of Social and Environmental Forestry, University of Ibadan, Ibadan 200284, Nigeria ] Co-fondateur
  • Onyekachi Chukwu [ Department of Social and Environmental Forestry, University of Ibadan, Ibadan 200284, Nigeria ]
  • Samuel Ajayi [ Department of Forestry and Wildlife Resources Management, Cross River University of Technology, Obubra 5511114, Nigeria ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    강원대학교 산림과학연구소 [Institute of Forest Science Kangwon National University]
  • 설립연도
    1975
  • 분야
    농수해양>임학
  • 소개
    강원대학교부설산림과학연구소(이하 “연구소”라 한다)는 산림에 관한 제반 학술적 연구를 통하여 산림자원의 효용을 밝히고 임업 및 임산업의 발전에 기여함을 목적으로 한다.

간행물

  • 간행물명
    Journal of Forest and Environmental Science [산림과학연구]
  • 간기
    계간
  • pISSN
    2288-9744
  • eISSN
    2288-9752
  • 수록기간
    1981~2025
  • 등재여부
    KCI 등재
  • 십진분류
    KDC 526 DDC 634

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