Biodiversity Science ›› 2016, Vol. 24 ›› Issue (6): 629-638.doi: 10.17520/biods.2016112

• Orginal Article • Previous Article     Next Article

Distribution of species abundance of evergreen and deciduous woody plants in the evergreen broad-leaved forests at Tiantong, Zhejiang

Xiaofeng Fang1, 2, 3, Qingsong Yang1, 3, Heming Liu1, 3, Zunping Ma1, 3, Shu Dong1, 3, Ye Cao1, 3, Mingjiao Yuan1, 3, Xiyang Fei1, 3, Xiaoying Sun1, 3, Xihua Wang1, 3, *()   

  1. 1 School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241
    2 School of Water Resources and Environment, Hebei GEO University, Shijiazhuang 050031
    3 Tiantong National Forest Ecosystem Observation and Research Station, Ningbo, Zhejiang 315114
  • Received:2016-04-26 Accepted:2016-06-06 Online:2016-06-20
  • Wang Xihua E-mail:xhwang@des.ecnu.edu.cn

Species abundance distribution (SAD) delineates abundance of all species sampled within a community. As one major stepping stone in understanding the community, the generation mechanisms of SAD have attracted much attention. Evergreen and deciduous plants are two types of species with distinct phenological traits and growth strategies. They widely coexist in evergreen broad-leaved forests (EBLFs). Compared to deciduous plants, evergreen species have slightly lower species richness but substantially higher abundance and basal area in the 20 ha EBLF plot at Tiantong. This study independently analyzing their SAD characteristics provided a new perspective on the understanding of species diversity maintenance in EBLFs. Therefore, in order to compare SADs and determine reasons for differences, an empirical cumulative distribution function (ECDF) was utilized to describe the SADs of evergreen and deciduous trees in Tiantong plot. A Kolmogorov-Smirnov test (K-S test) was employed to detect the significance of these differences. Additionally, three types of models, including statistic model (log-normal model and log-series model), niche model (broken-stick model and niche preemption model) and neutral theory model (metacommunity zero-sum multinomial distribution model and Volkov model), were used to fit the SAD of each lifeform. The K-S test and AIC values were applied to test the goodness of fit for each model. We found that the differences in SAD between the two life forms were not significant based on the results of the K-S test. Among the three types of models, the neutral theory model was the best fitting model, and the niche model was the poorest fit. Thus we conclude that evergreen and deciduous trees had similar SAD patterns, although they differed in species richness and abundance. However, the model fitting results were found to be a necessary but insufficient condition in understanding the maintenance mechanism of biodiversity. Hence we may only preliminarily conclude that neutral processes had a major effect on the generation of biodiversity patterns of both evergreen and deciduous trees, whereas the possible contributions made by other processes, such as niche differentiations, could not be excluded and measured by this method.

Key words: empirical cumulative distribution function, model fitting, neutral theory model, niche model, purely statistical model, species abundance distribution

Fig. 1

The empirical cumulative distribution function of evergreen and deciduous woody plants in Tiantong 20 ha evergreen broad-leaved forest plot. The dashed and solid lines are fitted by local polynomial regression (LOESS)."

Table 1

Goodness-of-fit test of six models for the species-abundance distribution of evergreen and deciduous woody plants"

生活型 Life form 模型 Model AIC D P
常绿物种
Evergreen species
对数正态模型 Log-normal model 1,047.339 0.096 0.875
对数级数模型 Log-series model 1,038.469 0.164 0.257
断棍模型 Broken-stick model 515,693.701 0.425 < 0.001
生态位优先占领模型 Niche preemption model 1,184.975 0.137 0.458
复合群落零和多项式模型 Metacommunity zero-sum multinominal distribution model 1,038.246 0.164 0.244
Volkov模型 Volkov model 1,037.823 0.082 0.938
落叶物种
Deciduous species
对数正态模型 Log-normal model 821.012 0.089 0.878
对数级数模型 Log-series model 813.648 0.089 0.862
断棍模型 Broken-stick model 54,244.512 0.316 < 0.001
生态位优先占领模型 Niche preemption model 895.503 0.152 0.296
复合群落零和多项式模型 Metacommunity zero-sum multinominal distribution model 813.426 0.089 0.857
Volkov模型 Volkov model 812.326 0.051 0.999

Fig. 2

The species-abundance distribution and model fitting for evergreen and deciduous woody plants in Tiantong 20 ha evergreen broad-leaved forest plot. Observed values are shown as open circles. MZD model, metacommunity zero-sum multinomial distribution model."

Table 2

Parameters of two neutral models in fitting the species-abundance distribution of evergreen and deciduous woody plants"

生活型
Life form
复合群落零和多项式模型
Metacommunity zero-sum multinomial distribution model
Volkov模型
Volkov model
基本多样性指数
Fundamental biodiversity number (θ)
基本多样性指数
Fundamental biodiversity number (θ)
迁移系数
Immigration rate (m)
常绿物种 Evergreen species 7.872 11.163 0.023
落叶物种 Deciduous species 12.118 14.119 0.248
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