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Phylogenetic Diversity Outperforms Functional Diversity in Predicting Aboveground Biomass Across Tree Strata in a
Qingping Li1, Yizhi Wang2, Xiuqin Ci3
1College of Soil and Water Conservation Southwest Forestry University Kunming China.
Forest aboveground biomass (AGB) accumulation is linked to biodiversity. Phylogenetic diversity, not just functional traits, significantly influences AGB in subtropical forests, highlighting its importance in ecosystem function studies.
Area of Science:
- Ecology
- Forest Science
- Biodiversity Research
Background:
- Forest aboveground biomass (AGB) is vital for global carbon balance.
- The relationship between biodiversity and AGB is complex and not fully understood.
- Mechanisms linking biodiversity dimensions to AGB productivity require further elucidation.
Purpose of the Study:
- To investigate the impact of functional and phylogenetic diversity on AGB in subtropical forest overstory and understory.
- To determine which dimension of biodiversity (functional or phylogenetic) has a more prominent effect on AGB.
- To assess the role of functional traits and evolutionary relatedness in AGB accumulation.
Main Methods:
- Field measurements of AGB, functional traits, and evolutionary relatedness in a subtropical forest.
- Application of partial least squares (PLS) regression to assess the predictive importance of diversity indices.
- Analysis across distinct tree layers (overstory and understory).
Main Results:
- Overstory AGB was positively associated with resource-acquisitive traits and higher phylogenetic diversity.
- Understory AGB was enhanced by conservative strategies, mean nearest taxon distance, and higher phylogenetic and functional richness.
- Phylogenetic diversity explained more AGB variation than functional diversity across tree strata.
Conclusions:
- Functional identity plays a key role in regulating AGB.
- Phylogenetic diversity is a more significant predictor of AGB accumulation than functional diversity in this subtropical forest.
- Incorporating phylogenetic diversity is crucial for understanding biodiversity and ecosystem function (BEF) relationships.
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