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Dryad

Spatio-temporal variation in deep soil water use patterns of overstory and understory layers in subtropical plantations predict community assembly

Cite this dataset

Jiang, Peipei (2022). Spatio-temporal variation in deep soil water use patterns of overstory and understory layers in subtropical plantations predict community assembly [Dataset]. Dryad. https://doi.org/10.5061/dryad.3n5tb2rmf

Abstract

1. Deep soil water utilization allows plants to cope with drought stress. However, little is known about the roles of the understory layers in driving spatio-temporal variations of deep soil water in forests and how the patterns of deep soil water use among life forms contribute to community assembly processes.

2. We assessed the spatio-temporal patterns and determinants of deep water utilization of tree, shrub and herb layers in subtropical coniferous plantations and investigated associations between deep water use parameters and dominance and richness of understory vegetation.

3. We found that the understory layer had a higher reliance on deep soil water in the dry season, a larger seasonal plasticity of deep soil water uptake, but lower spatial variability in deep soil water utilization than the tree layer. We showed that greater reliance of the tree layer on deep soil water was associated with decreased shrub layer diversity, whereas greater reliance of the shrub layer on deep water was associated with increased herb layer diversity.

4. Synthesis. Our results highlight the roles of understory layers in driving the temporal dynamics of deep soil water in forests and improve our understanding of how deep soil water use patterns amongst life forms shape community assembly in forests.

Methods

Please see the README document

Usage notes

Please see the README document

Funding

National Natural Science Foundation of China, Award: 31730014

National Natural Science Foundation of China, Award: 32122060

National Natural Science Foundation of China, Award: 32201520