Community compositions and environmental interpretation of mixed forests of Chinese fir and broad leaved trees in the non-commercial forests of Zhejiang Province

doi:10.12302/j.issn.1000-2006.202011007

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2022, Vol. 46 ›› Issue (2): 179-186.doi: 10.12302/j.issn.1000-2006.202011007

Community compositions and environmental interpretation of mixed forests of Chinese fir and broad leaved trees in the non-commercial forests of Zhejiang Province

SUN Jiejie¹^,²(), LI Linghuan³, HUANG Yujie⁴, JIN Chao¹^,⁵, YUAN Weigao¹, JIANG Bo¹, SHEN Aihua⁴, WANG Weifeng², JIAO Jiejie¹^,^*()

1. Zhejiang Academy of Forestry, Hangzhou 310023, China
2. College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China
3. East China Inventory and Planning Institute, National Forestry and Grassland Administration, Hangzhou 311300, China
4. Zhejiang Forestry Technology Extension Station, Hangzhou 310012, China
5. School of Forestry and Biotechnology, Zhejiang A & F University, Hangzhou 311300, China

Received:2020-11-04 Accepted:2020-12-31 Online:2022-03-30 Published:2022-04-08
Contact: JIAO Jiejie E-mail:164882506@qq.com;jjjjust@163.com

Abstract

Abstract:

【Objective】This study analyzed the composition and distribution pattern of the main environmental factors affecting Chinese fir (Cunninghamia lanceolata) broad-leaved mixed forests and broad-leaved Chinese fir mixed forests in the non-commercial forests of Zhejiang Province. Our results could provide a practical scientific basis for the transformation of Chinese fir broad-leaved mixed forests and the protection of rare species in subtropical areas. This study is of great significance for improving the quality of non-commercial ecological forests of Zhejiang Province. 【Method】In this study, two-way indicator species analysis (TWINSPAN) and canonical correspondence analysis (CCA) were used to analyze the species composition and community structure of 427 plots of Zhejiang Province. 【Result】The Chinese fir broad-leaved mixed forest could be divided into five clusters, and the broad-leaved Chinese fir mixed forest could be divided into six clusters. Among the five clusters of Chinese fir broad-leaved mixed forests, the tree species associated with Chinese fir were mainly Quercus glauca, Schima superba, Pinus massoniana, and Pinus taiwaneasis, and the main environmental factors were soil thickness, slope aspects, and slopes which affected the distribution of the mixed forest of Chinese fir broad-leaved forests. Among the six types of communities in the broad-leaved Chinese fir forests, the tree species associated with Chinese fir were P. massoniana, Castanea mollissima, Q. glauca, S. superba, and P. edulis, and the main environmental factors were forest age, slopes, and altitudes which affected the distribution of the broad-leaved Chinese fir mixed forest communities. In the mixed Chinese fir broad-leaved forests, rare species such as Cyclobalanopsis myrsinifolia, Machilus thunbergii, Liriodendron chinense, Castanopsis eyrei, and Betula luminifera tended to occur in the habitats more suited to Chinese fir. In addition, the environmental selection characteristics of rare broad-leaved species such as Cryptomeria; aponica, Castanopsis sclerophylla, and Q. glauca are close to that of Chinese fir. 【Conclusion】 Selecting the associated rare broad-leaved tree species whose habitat was close to that of Chinese fir for replanting, may effectively improve the survival rate of afforestation and promote the process of succession of Chinese fir plantations.

Key words: mixed forests of Chinese fir and broad leaved trees, precious tree species, canonical correspondence analysis (CCA), vegetation environment-relationship

CLC Number:

S718.5

SUN Jiejie, LI Linghuan, HUANG Yujie, JIN Chao, YUAN Weigao, JIANG Bo, SHEN Aihua, WANG Weifeng, JIAO Jiejie. Community compositions and environmental interpretation of mixed forests of Chinese fir and broad leaved trees in the non-commercial forests of Zhejiang Province[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2022, 46(2): 179-186.

Figures/Tables 5

Fig.1

Table 1

Table 2

Fig.2

Fig.3

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CCA各轴特征值 CCA ordination axes	相关系数 correlation	累计方差百分比/% cumulative variance percentage
排序轴1^a ordination axis 1^a	0.503	19.5
排序轴2^a ordination axis 2^a	0.530	37.0
排序轴1^b ordination axis 1^b	0.559	23.0
排序轴2^b ordination axis 2^b	0.503	38.3

变量 variable	CCA各轴与环境因子相关性 correlations with CCA ordination axes
变量 variable	排序轴1^a	排序轴2^a	排序轴1^b	排序轴2^b
坡位 slope position(SP)	-0.19	0.08	0.30	0.31
坡度 slope(SL)	-0.33^*	0.02	-0.12	0.08
坡向 aspect(ASP)	-0.07	0.30	-0.08	0.09
海拔 elevation(ELE)	0.19	0.02	-0.18	0.18
土壤厚度 soil thickness(SOI THIC)	0.01	0.31	0.05	0.13
腐殖质厚度 humus thickness(HUM THIC)	0.25	0.01	0.07	0.04
凋落物厚度litter layer thickness(LLT)	0.11	0.14	0.07	0.16
林龄 forest age(AGE)	0.21	0.08	0.41^*
林冠密度 canopy density(CAN DEN)	-0.01	0.22	-0.08	0.22

Community compositions and environmental interpretation of mixed forests of Chinese fir and broad leaved trees in the non-commercial forests of Zhejiang Province

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