201. Nonlinearity of root trait relationships and the root economics spectrum
- Author
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Oscar J. Valverde-Barrantes, Yu-Long Feng, Huifang Wu, Ruili Wang, Hui Zeng, Hai-Yan Zhang, Jun-Jian Wang, Deliang Kong, and Paul Kardol
- Subjects
0301 basic medicine ,Root (linguistics) ,Science ,Ecophysiology ,Datasets as Topic ,General Physics and Astronomy ,Context (language use) ,02 engineering and technology ,Quantitative trait locus ,Evolutionary ecology ,Plant Roots ,General Biochemistry, Genetics and Molecular Biology ,Article ,03 medical and health sciences ,Quantitative Trait, Heritable ,Phylogenetics ,Statistics ,lcsh:Science ,Phylogeny ,Sampling bias ,Mathematics ,Multidisciplinary ,General Chemistry ,Plants ,021001 nanoscience & nanotechnology ,Biological Evolution ,Phenotype ,030104 developmental biology ,Nonlinear Dynamics ,Biogeography ,Stele ,Trait ,lcsh:Q ,Allometry ,Forest ecology ,0210 nano-technology - Abstract
The root economics spectrum (RES), a common hypothesis postulating a tradeoff between resource acquisition and conservation traits, is being challenged by conflicting relationships between root diameter, tissue density (RTD) and root nitrogen concentration (RN). Here, we analyze a global trait dataset of absorptive roots for over 800 plant species. For woody species (but not for non-woody species), we find nonlinear relationships between root diameter and RTD and RN, which stem from the allometric relationship between stele and cortical tissues. These nonlinear relationships explain how sampling bias from different ends of the nonlinear curves can result in conflicting trait relationships. Further, the shape of the relationships varies depending on evolutionary context and mycorrhizal affiliation. Importantly, the observed nonlinear trait relationships do not support the RES predictions. Allometry-based nonlinearity of root trait relationships improves our understanding of the ecology, physiology and evolution of absorptive roots., Kong et al. use a global trait dataset of 800 plant species to examine the root economics spectrum in relation to root diameter, tissue density and root nitrogen concentration. Nonlinear trait relationships were observed, suggesting allometry-based nonlinearity in root trait relationships.
- Published
- 2019