Data from: Functionally diverse stands promote leaf litter decomposition irrespective of litter species’ resource acquisition strategy
Data files
Jan 22, 2026 version files 96.83 KB
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Data_decomposition.csv
95.02 KB
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README.md
1.81 KB
Abstract
Stand functional diversity (RaoQ) and stand functional composition in terms of the functional traits of the component species (CWM trait) are critical for ecosystem processes and functioning, such as litter decomposition and associated nutrient cycling. Litter decomposition rates could differ among stands varying in functional diversity and composition because of interspecific variation of resource economic traits in litter quality, as well as differences in microenvironmental conditions. However, whether and how functionally diverse stands with different microenvironmental conditions change the litter decomposition rates among functionally contrasting species is poorly understood. We tested our hypotheses through a litter decomposition study in a tree diversity experiment in subtropical China. We quantified the leaf litter mass losses for acquisitive, intermediate, and conservative species and measured microclimates across 30 stands that represent a range of tree functional diversity and composition over five decomposition periods over 394 days. We found that increasing stand species richness and stand functional diversity were significantly associated with higher leaf litter decomposition rates across all three functionally contrasting litter species. This positive effect did not change with the litter species’ resource acquisition strategies. We also found that increasing stand functional composition along an axis from resource conservative to acquisitive had rather similar humpback relations with leaf litter decomposition rates for all three litter species. Our study provides mechanistic insights into the potential direct and indirect roles of functional trait diversity and composition in driving litter decomposition, and these insights are relevant to many ecosystem types globally.
Dataset DOI: 10.5061/dryad.8931zcs56
Description: This is the leaf litter decomposition data derived from Yang et al. (2026, Functional Ecology).
Files and variables
Files and variables
File: Data_decomposition.csv
Abbreviations used in this dataset:
LiFo: Liquidambar formosana
CyGl: Cyclobalanopsis glauca
MaTh: Machilus thunbergii
RaoQ: Rao’s quadratic entropy index
CWM: Community-weighted mean
Variables
Block, block number
Composition, plot species composition
Species, species classification (LiFo, CyGl, MaTh)
SFP, species functional strategy
PC1, litter species' PC1
Time, decomposition time
SR:stand species richness, log2-transformed
RaoQ:stand functional diversity, RaoQ, ln(x+1)-transformed
CWMPC1, stand functional composition, CWMs of integrate traits, CWMPC1 (raw data, no transformation)
CWM.LL, CWMs of leaf longevity,ln-transformed
CWM.LDMC, CWMs of leaf dry mass content,ln-transformed
CWM.SLA, CWMs of specific leaf area,ln-transformed
CWM.LA, CWMs of leaf area,ln-transformed
CWM.LCC, CWMs of leaf carbon content,ln-transformed
CWM.LNC, CWMs of leaf nitrogen content,ln-transformed
CWM.LCN, CWMs of leaf carbon: nitrogen ratio,ln-transformed
CWM.WD, CWMs of wood density,ln-transformed
Hum, soil humidity, ln-transformed
CP_ln, canopy packing, when we analylized the relationship between SR or RaoQ and CP, the CP is ln-transformed;
CP_no:canopy packing,when we analylized the relationship between CWMPC1 and CP, the CP_no is raw data (no transformation)
ML:litter mass loss,squared-rooted transformed
Code/software
R language
