Quantitative analysis of community structure in ecological landscape forests

HE Ying; WEI Xin-liang; CAI Xia; LI Ke-zhui; WANG Zhen

Volume 24 Issue 6

Dec. 2007

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GAN Sichen, SHI Yue, LIANG Lijun. Selection and validation of reference genes for anthocyanin biosynthesis in Liriope spicata fruits[J]. Journal of Zhejiang A&F University, 2022, 39(2): 307-317. DOI: 10.11833/j.issn.2095-0756.20210332

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HE Ying, WEI Xin-liang, CAI Xia, et al. Quantitative analysis of community structure in ecological landscape forests[J]. Journal of Zhejiang A&F University, 2007, 24(6): 711-718.

Quantitative analysis of community structure in ecological landscape forests

1. School of Environmental Sciences and Technology, Zhejiang Forestry College, Lin'an 311300, Zhejiang, China;
2. Forest Enterprise of Chun'an County, Chun'an 311700, Zhejiang, China;
3. Beishan Forest Farm of Jinhua City, Jinhua 321000, Zhejiang, China;
4. Forest Enterprise of Dongyang City, Dongyang 322100, Zhejiang, China

Received Date: 2007-01-11
Rev Recd Date: 2007-04-06

Abstract

The community structure and attributes of ecological landscape forest in Chun'an, Jinhua and Dongyang Cities were studied by standard quadrat method. And all the 30 plots were divided into four types of landscape forests:broad-leaved forest, coniferous and broad-leaved forest, Pinus massoniana forest and Cunninghamia lanceolata forest. The results indicated that both the coniferous and broad-leaved forest and broad-leaved forest were diverse in the species, and had high community evenness. The species in C. lanceolata forest was obviously few, while the stand density was higher than the other three types of forests, reaching 3 967 trees·hm^-2. The P. massoniana forest and coniferous and broad-leaved forests had good vertical structure and were more clearly differentiated into spatial layers than broad-leaved forest. The shrubs in broad-leaved forest were so high that the light in woods was not very good. C. lanceolata forest had few shrub and herbal layers with the worse vertical structure. From the angle of spatial distribution pattern, coniferous forest plantations were evenly distributed while broad-leaved forest populations were more concentrated.
- forest ecology,
- ecological landscape forest,
- community structure,
- quantitative study,
- broad-leaved forest,
- coniferous and broad-leaved forest,
- Pinus massoniana forest,
- Cunninghamia lanceolata forest

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Quantitative analysis of community structure in ecological landscape forests

1. School of Environmental Sciences and Technology, Zhejiang Forestry College, Lin'an 311300, Zhejiang, China;

2. Forest Enterprise of Chun'an County, Chun'an 311700, Zhejiang, China;

3. Beishan Forest Farm of Jinhua City, Jinhua 321000, Zhejiang, China;

4. Forest Enterprise of Dongyang City, Dongyang 322100, Zhejiang, China

Received Date: 2007-01-11

Rev Recd Date: 2007-04-06

Key words:

Abstract: The community structure and attributes of ecological landscape forest in Chun'an, Jinhua and Dongyang Cities were studied by standard quadrat method. And all the 30 plots were divided into four types of landscape forests:broad-leaved forest, coniferous and broad-leaved forest, Pinus massoniana forest and Cunninghamia lanceolata forest. The results indicated that both the coniferous and broad-leaved forest and broad-leaved forest were diverse in the species, and had high community evenness. The species in C. lanceolata forest was obviously few, while the stand density was higher than the other three types of forests, reaching 3 967 trees·hm^-2. The P. massoniana forest and coniferous and broad-leaved forests had good vertical structure and were more clearly differentiated into spatial layers than broad-leaved forest. The shrubs in broad-leaved forest were so high that the light in woods was not very good. C. lanceolata forest had few shrub and herbal layers with the worse vertical structure. From the angle of spatial distribution pattern, coniferous forest plantations were evenly distributed while broad-leaved forest populations were more concentrated.

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Quantitative analysis of community structure in ecological landscape forests