Evidence map›Paper›PMID 31101818›Full record

ArticleNature communications2019

Nonlinearity of root trait relationships and the root economics spectrum.

Deliang Kong, Junjian Wang, Huifang Wu, Oscar J Valverde-Barrantes, Ruili Wang, Hui Zeng, Paul Kardol, Haiyan Zhang, Yulong Feng

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 78 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

78 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Relationships among leaf, stem, and root traits ofFrontiers in plant science · 2026
    Article
  19. Article
  20. Article

18 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Deliang Kong *Liaoning Key Laboratory for Biological Invasions and Global Change, Shenyang Agricultural University, 110866, Shenyang, Liaoning Province, China. deliangkong1999@126.com.ORCID http://orcid.org/0000-0002-3418-3787
Junjian Wang *School of Environmental Science and Engineering, Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control, Southern University of Science and Technology, 518055, Shenzhen, China. wangjj@sustech.edu.cn.
Huifang Wu *School of Life Sciences, Henan University, 475004, Kaifeng, China.
Oscar J Valverde-Barrantes *International Center of Tropical Botany, Florida International University, Miami, FL, 33199, USA.
Ruili WangCollege of Forestry, Northwest A&F University, 712100, Yangling, China.
Hui ZengKey Laboratory for Urban Habitat Environmental Science and Technology, Peking University Shenzhen Graduate School, 518005, Shenzhen, China.
Paul KardolDepartment of Forest Ecology and Management, Swedish University of Agricultural Sciences, 90183, Umeå, Sweden.ORCID http://orcid.org/0000-0001-7065-3435
Haiyan ZhangLiaoning Key Laboratory for Biological Invasions and Global Change, Shenyang Agricultural University, 110866, Shenyang, Liaoning Province, China.
Yulong FengLiaoning Key Laboratory for Biological Invasions and Global Change, Shenyang Agricultural University, 110866, Shenyang, Liaoning Province, China. yl_feng@tom.com.ORCID http://orcid.org/0000-0003-0243-2280

Funding

National Natural Science Foundation of China (National Science Foundation of China) 31670545National Natural Science Foundation of China (National Science Foundation of China) 31670550National Natural Science Foundation of China (National Science Foundation of China) 31870552
6 · The paper itself

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.

Indexed as

Biological EvolutionQuantitative Trait, HeritableDatasets as TopicNonlinear DynamicsPhenotypePhylogenyPlant RootsPlants

Identifiers

PMID31101818
PMCPMC6525182

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.