Li Shuaifeng, Lang Xuedong, Liu Wande, Ou Guanglong, Xu Hui, Su Jianrong
Research Institute of Resource Insects, Chinese Academy of Forestry, Kunming, China.
Pu`er Forest Eco-system Research Station, China's State Forestry Administration, Kunming, China.
PLoS One. 2018 Jan 11;13(1):e0191140. doi: 10.1371/journal.pone.0191140. eCollection 2018.
The relationship between biodiversity and biomass is an essential element of the natural ecosystem functioning. Our research aims at assessing the effects of species richness on the aboveground biomass and the ecological driver of this relationship in a primary Pinus kesiya forest. We sampled 112 plots of the primary P. kesiya forests in Yunnan Province. The general linear model and the structural equation model were used to estimate relative effects of multivariate factors among aboveground biomass, species richness and the other explanatory variables, including climate moisture index, soil nutrient regime and stand age. We found a positive linear regression relationship between the species richness and aboveground biomass using ordinary least squares regressions. The species richness and soil nutrient regime had no direct significant effect on aboveground biomass. However, the climate moisture index and stand age had direct effects on aboveground biomass. The climate moisture index could be a better link to mediate the relationship between species richness and aboveground biomass. The species richness affected aboveground biomass which was mediated by the climate moisture index. Stand age had direct and indirect effects on aboveground biomass through the climate moisture index. Our results revealed that climate moisture index had a positive feedback in the relationship between species richness and aboveground biomass, which played an important role in a link between biodiversity maintenance and ecosystem functioning. Meanwhile, climate moisture index not only affected positively on aboveground biomass, but also indirectly through species richness. The information would be helpful in understanding the biodiversity-aboveground biomass relationship of a primary P. kesiya forest and for forest management.
生物多样性与生物量之间的关系是自然生态系统功能的一个基本要素。我们的研究旨在评估物种丰富度对思茅松原始林地上生物量的影响以及这种关系的生态驱动因素。我们对云南省思茅松原始林的112个样地进行了采样。使用一般线性模型和结构方程模型来估计地上生物量、物种丰富度与其他解释变量(包括气候湿度指数、土壤养分状况和林分年龄)之间多变量因素的相对影响。我们通过普通最小二乘法回归发现物种丰富度与地上生物量之间存在正线性回归关系。物种丰富度和土壤养分状况对地上生物量没有直接显著影响。然而,气候湿度指数和林分年龄对地上生物量有直接影响。气候湿度指数可能是调节物种丰富度与地上生物量之间关系的更好纽带。物种丰富度通过气候湿度指数的介导影响地上生物量。林分年龄通过气候湿度指数对地上生物量有直接和间接影响。我们的结果表明,气候湿度指数在物种丰富度与地上生物量之间的关系中具有正反馈作用,这在生物多样性维持与生态系统功能之间的联系中发挥了重要作用。同时,气候湿度指数不仅对地上生物量有正向影响,还通过物种丰富度产生间接影响。这些信息将有助于理解思茅松原始林的生物多样性与地上生物量之间的关系以及森林管理。