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Dryad

Diverse root strategies associated with fast to slow resource acquisition vary among plant growth forms

Cite this dataset

Siyuan, Wang (2024). Diverse root strategies associated with fast to slow resource acquisition vary among plant growth forms [Dataset]. Dryad. https://doi.org/10.5061/dryad.z8w9ghxn9

Abstract

Root acquisition strategies at regional and global scales are largely associated with climate, soil resource availability, and plant phylogeny, yet the drivers at the local scale are not well-quantified. We sampled 115 species across five growth forms (i.e. trees, shrubs, lianas, herbs, and ferns) from a temperate forest and measured seven key functional traits of first-order roots, including root morphology, anatomy, and chemistry. Most trait variations were greater among growth forms than within them. Importantly, species aggregated in root economics space separately by growth forms, illustrating consistent differences in soil resource strategies among growth forms from fast to slow acquisition. Such diverse strategies among plant growth forms may allow species to avoid strong competition and promote species coexistence in a local forest community. These findings improve our understanding of the mechanisms underlying community assembly and stability from a below-ground perspective.

README: 'Diverse root strategies associated with fast to slow resource acquisition vary among plant growth forms'

The data that support the findings of this study, and includes the root morphological (root diameter, specific root length, root tissue density), anatomical (cortex thickness, stele diameter) and chemical traits (root nitrogen concentration, ratio of carbon to nitrogen) of 115 species.

Abbreviations of the data:
RD, root diameter (mm);
SRL, specific root length (m g-1);
RTD, root tissue density (g cm-3);
RN, root nitrogen concentration (mg g-1);
C/N, ratio of carbon to nitrogen;
CT, cortex thickness (μm);
SteleD, stele diameter (μm);
group, growth forms;

R code for analyzing phylogenetic signal, abouheif's test, pic, ppca, vpa, and permanova are provide in code.R

Funding

National Natural Science Foundation of China