Tree Species Suitability Assessment based on Principle of Maximum Entropy

DOI

10.2991/jiaet-18.2018.12How to use a DOI?

Keywords

tree species; suitability assessment; POME; shelter forest

Abstract

Factors that affect tree species suitability assessment especially for embankment shelter forest are very complex. And the information for assessment always has incompleteness, multiplicity and uncertainty. To solve the complexity and difficulty of shelter forest vegetation species selection effectively, a tree species suitability assessment model for shelter forest planning based on principle of maximum entropy (POME) using the tree species suitability multi-index system is proposed. And through the proposed model, the tree species can be classified into 4 grades: most suitable, suitable, general and unsuitable. The case study in Baidajie Dike shows that the proposed model is capable of recommending the most suitable tree species for shelter forest and could also provide useful references for the vegetation species selection in landscape planning and design.

Copyright

© 2018, 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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TY  - CONF
AU  - Wei Xu
AU  - Zengchuan Dong
AU  - Jie Ren
AU  - Biao Sun
AU  - Yue Zhou
AU  - Yiming Wei
AU  - Fangyu Zhang
AU  - Jianting Wang
PY  - 2018/03
DA  - 2018/03
TI  - Tree Species Suitability Assessment based on Principle of Maximum Entropy
BT  - Proceedings of the 2018 Joint International Advanced Engineering and Technology Research Conference (JIAET 2018)
PB  - Atlantis Press
SP  - 73
EP  - 78
SN  - 2352-5401
UR  - https://doi.org/10.2991/jiaet-18.2018.12
DO  - 10.2991/jiaet-18.2018.12
ID  - Xu2018/03
ER  -