Chin J Plan Ecolo ›› 2017, Vol. 41 ›› Issue (11): 1149-1156.doi: 10.17521/cjpe.2016.0321

• Research Articles • Previous Articles     Next Articles

Relationships between species diversity or community structure and productivity of woody-plants in a broad-leaved Korean pine forest in Jiaohe, Jilin, China

Ling-Zhao TAN1, Chun-Yu FAN1, Xiu-Hua FAN2,*   

  1. 1Research Center of Forest Management Engineering of State Forestry Administration, Beijing Forestry University, Beijing 100083, China
    2College of Science, Beijing Forestry University, Beijing 100083, China
  • Received:2016-10-17 Accepted:2017-10-23 Online:2017-11-10 Published:2017-11-10
  • Contact: Xiu-Hua FAN


Aims Based on the dataset of a broad-leaved Korean pine forest in Jiaohe, Jilin Province, this research compared the influences of species diversity and community structure on productivity. We aim to explain the relationship between diversity and productivity for better forest management.
Methods We used the data of 10 973 woody-plants in a 11.76 hm2 large sample plot and analyzed the correlations between 7 different indices of species diversity or community structure and productivity. Structural equation model was used to compare the effects of species diversity and community structure on productivity.
Important findings The results showed that: (1) Both species diversity and community structure had significant effects on productivity when they were considered separately in linear regression analysis, i.e. species evenness was negatively correlated with productivity, the Shannon index of community structure was positively correlated with productivity and the Gini index was negatively correlated with productivity. (2) In the structural equation model, when simultaneously considered, community structure had stronger influence on productivity than species diversity. Our research suggests that, the effects of community structure on productivity are greater than species diversity and it is important to increase community structure complexity to improve forest productivity during forest management.

Key words: community structure, species diversity, forest productivity, large sample plot, structural equation model

Table 1

The statistical information of basic variables in the sampling plot"

变量 Variables 范围 Range 平均值 Mean 标准偏差 Standard deviation
胸高断面积年均增长量 Annual growth of basal area (cm2·a-1) 76.53-543.60 272.22 83.62
林冠开阔度 Canopy openness 1.12-3.99 1.87 0.38
土壤全氮 Soil total nitrogen (g·kg-1) 0.65-1.60 0.95 0.16
土壤全磷 Soil total phosphorus (g·kg-1) 0.33-1.09 0.79 0.12
土壤全钾 Soil total potassium (g·kg-1) 20.40-20.90 20.70 0.01
土壤速效氮 Soil available nitrogen (mg·kg-1) 29.93-68.81 53.65 8.48
土壤速效磷 Soil available phosphorus (mg·kg-1) 0.09-22.01 11.94 5.59
土壤速效钾 Soil available potassium (mg·kg-1) 206.80-236.20 226.30 5.74
土壤有机碳 Soil organic carbon (%) 5.51-13.33 9.64 1.60
土壤pH值 Soil pH value 4.38-5.32 4.88 0.25
胸高断面积密度 Basal area density (cm2·m-2) 9.73-46.31 27.97 5.96

Table 2

The formulas and results of species diversity and community structure of woody plants in the studied forest"

指数 Index 计算公式 Formula 平均值 Mean value 范围 Range
Species diversity
物种丰富度 Species richness $S=Ns$ 8.34 4-15
Species Shannon index
$Hs=-\sum\limits_{i=1}^{Ns}{\frac{{{n}_{i}}}{N}\ \times \ ln\left( \frac{{{n}_{i}}}{N} \right)}$ 1.81 1.18-2.55
物种均匀度 Species evenness $Es={Hs}/{ln\left( Ns \right)}\;$ 0.87 0.65-0.97
Variation of
community structure
DBH Shannon index
$Hd=-\sum\limits_{j=1}^{Nd}{\frac{{{n}_{j}}}{N}\ \times \ ln\left( \frac{{{n}_{j}}}{N} \right)}$ 2.77 2.24-3.11
胸径均匀度 DBH evenness $Es={Hd}/{\text{l}n\left( Nd \right)}\;$ 0.94 0.70-1.11
Coefficient of DBH variation
$VarD\,=\,100%\,\ \times \ \frac{\sqrt{\frac{1}{N}{{\left( DB{{H}_{k}}-\mu \right)}^{2}}}}{\mu }$ 77.36 44.14-112.70
DBH Gini index
$GiniD=\frac{\sum\limits_{k=2}^{N}{\left( 2\times \ k-N-\ 1 \right)\,\ \times \ b{{a}_{k}}}}{\sum\limits_{k=2}^{N}{\left( N-\ 1 \right)\,\ \times \ b{{a}_{k}}}}$ 0.39 0.24-0.51

Table 3

The correlation coefficient between the examined variables and forest productivity using different models"

Explanatory variables
估计值 Estimate
Species diversity model
Community structural
variation model
Species evenness
-0.211* - -
DBH Shannon index
- 0.400*** -
DBH Gini index
- - -0.337***
Basal area density
0.914*** 0.756*** 0.964***
Canopy openness
0.289*** 0.275** 0.298***
Soil organic carbon
0.517*** 0.221* 0.293***
Available potassium
0.991*** 0.193* 0.241**
Available nitrogen
0.413*** - -
pH -0.520*** - -
Available phosphorus
- 0.413*** -
Total phosphorus
- -0.244* -
Adjusted R2
34.67% 35.95% 31.93%
AICAIC value 1 080.385 1 074.56 1 090.52

Fig. 1

The impact paths of species diversity and community structure on productivity. Solid line indicates significant path, while dashed line indicates insignificant path. ***, p < 0.001."

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