E3S Web Conf.
Volume 53, 20182018 3rd International Conference on Advances in Energy and Environment Research (ICAEER 2018)
|Number of page(s)||6|
|Section||Environment Engineering, Environmental Safety and Detection|
|Published online||14 September 2018|
Spatial Distribution Pattern and Interspecific Association Analysis of Thuja koraiensis Population
Jilin Provincial Joint Key Laboratory of Changbai Mountain Biocoenosis and Biodiversity, Changbaishan Academy of Science, Yanbian 133613, Jilin, China
* Corresponding author: email@example.com
In this paper, the methods such as Clumping index, Aggregate index, CASSIE index, Diffusion coefficient C, K index in negative binomial distribution and m*-m wao regression, Taylor power law were used to analyze the spatial distribution pattern of Thuja koraiensis community. The results showed that the spatial distribution pattern of Thuja koraiensis community presented significantly aggregate distribution. Based on 2×2 contingency table, interspecific association analysis was conducted by means of Variance ratio method, χ2-test, Association coefficient, together with point correlation coefficient, The overall relevance of pure forest community where Thuja koraiensis population were distributed and scattered forest of Thuja koraiensis community both showed negative correlation. In the pure forest community, Thuja koraiensis was extremely significantly negatively correlated with Sorbus pohuashanensis(p<0.01), and positively correlated with other shrub species, but did not reach a significant level. In the scattered forest community, Thuja koraiensis was positively correlated with Euonymus rehderianus, Lonicera edulis, Rubus sachalinensis, Acer tegmentosum, and negatively correlated with other species. Studies suggest that protecting species which are positively correlated with Thuja koraiensis to form an environment conducive to the survival of specific species together has certain guiding significance for the protection and utilization of Thuja koraiensis community.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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