Proceedings of the 2017 2nd International Conference on Education, Sports, Arts and Management Engineering (ICESAME 2017)

Finite mixture model for the application in forestry

Authors
Fuxiang Liu
Corresponding Author
Fuxiang Liu
Available Online June 2017.
DOI
10.2991/icesame-17.2017.321How to use a DOI?
Keywords
finite mixture model, Weibull function, Diameter-class distribution, mixed-species forest stand.
Abstract

Finite mixture model (FMM) has been used extensively to fit such distribution in different study fields including medicine, biology, fisheries, forestry, environmental science, engineering, and economics. This study compares three diameter distribution models to fit mixed-species forest stands using four example plots with two or three species components in Daxing'an Mountain P.R. China. Our results indicated that the FMM models are more flexible to describe highly skewed and irregular diameter distributions for the whole plot, as well as provide the acceptable estimation for each species component and the mixing proportions. Thus, the FMM models can be a useful tool for effectively managing mixed-species forest stands.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Education, Sports, Arts and Management Engineering (ICESAME 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
June 2017
ISBN
10.2991/icesame-17.2017.321
ISSN
2352-5398
DOI
10.2991/icesame-17.2017.321How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Fuxiang Liu
PY  - 2017/06
DA  - 2017/06
TI  - Finite mixture model for the application in forestry
BT  - Proceedings of the 2017 2nd International Conference on Education, Sports, Arts and Management Engineering (ICESAME 2017)
PB  - Atlantis Press
SP  - 1492
EP  - 1497
SN  - 2352-5398
UR  - https://doi.org/10.2991/icesame-17.2017.321
DO  - 10.2991/icesame-17.2017.321
ID  - Liu2017/06
ER  -