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Effects of biodiversity, stand factors and functional identity on biomass and productivity during the restoration of subtropical forests in Central China
Journal of Plant Ecology ( IF 2.7 ) Pub Date : 2021-09-19 , DOI: 10.1093/jpe/rtab104
Wenhao Miao 1 , Shupeng Ma 1 , Zhiwen Guo 1 , Haozhe Sun 1 , Xuemei Wang 1 , Yueming Lyu 1 , Xiangping Wang 1
Affiliation  

Abstract
Aims
Biodiversity is found to have a significant promotion effect on ecosystem functions in manipulation experiments on grassland communities. However, its relative role compared with stand factors or functional identity is still controversial in natural forests. Here we examined their relative effects on biomass and productivity during forest restoration.
Methods
We investigated stand biomass and productivity for 24 plots (600 m 2) across restoration stages in the subtropical forests of Mt. Shennongjia, central China. We measured five key functional traits and calculated functional diversity (functional richness, evenness, and dispersion) and community-weighted mean (CWM) of traits. We used general linear models (GLMs), variation partitioning methods to test the relative importance of stand factors (density, stand age, maximum height, etc.), functional identity, species and functional diversity on biomass and productivity.
Important Findings
Our results illustrated that stand biomass and productivity increased significantly as forest restoration, and that community species richness increased significantly, while functional dispersion decreased significantly. Variation partitioning analyses showed that diversity had no significant pure effects on biomass and productivity. However, diversity can affect biomass and productivity through the joint effect with stand factors and functional identity. Overall, we found that stand factors had the strongest effect on biomass and productivity, while functional identity significantly affects productivity but not biomass, suggesting that modulating stand structure and species identity are effective ways to enhance forest carbon storage and sequestrations potential in forest management.
更新日期:2021-09-20
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