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Dynamic Changes of Animal Community Composition and Distribution by Spartina Invasion in Yancheng Beach Wetland, China
Author(s) -
Xie Guilin,
Wang Baozhong,
Zhao Kuijun,
Li Susu,
Zhou Lihua
Publication year - 2015
Publication title -
clean – soil, air, water
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.444
H-Index - 66
eISSN - 1863-0669
pISSN - 1863-0650
DOI - 10.1002/clen.201300898
Subject(s) - species richness , dominance (genetics) , diversity index , principal component analysis , geography , ecology , species diversity , biology , statistics , mathematics , biochemistry , gene
The total beach animal specimen of the survey was 795.5, which belong to 17 species of 14 families in five classes under four phyla. Batillaria zonalis Bruguiere was the dominant species in the majority study sites during all seasons. Statistical analysis of the sampled data was performed, which covered the community composition, distribution of the number, diversity index, the principal component analysis (PCA), Spielmann rank correlation matrix analysis, Kulczynski comparative analysis of species richness, Mine‐Laying–Curtis clustering of several areas in four seasons. The results showed that the Shannon–Wiener diversity index was higher in January and lower in August. The Simpson diversity indices in the different study sites were quite variable, with the highest being at H 1 site in April, and lowest at H 3 site in August. The Berger–Parker dominance index for the animal is much different in all the sampling sites, which could be either relatively large, or high to low. The role of PCA had the same or opposite direction of the three components. The Spielmann rank correlation matrix analysis showed a positive and high degree of linear correlation among some groups. The Kulczynski comparative analysis demonstrated that the correlation coefficient between G‐point and H 3 ‐point in January and April was bigger, and it was smaller between H 2 site and other sites in October. Species richness displayed a regular distribution. The Mine‐Fields–Curtis clustering analysis showed that the similarity in different seasons was good, with the highest similarity reaching 87.1302 at H 3 site between January and October, and the lowest similarity only reaching 3.1693 at the H 2 site between August and October.