Evidence map›Paper›PMID 30721383›Full record

ArticleJournal of plant research2019

Plasticity of functional traits and optimality of biomass allocation in elevational ecotypes of Arabidopsis halleri grown at different soil nutrient availabilities.

Qing-Wei Wang, Maya Daumal, Soichiro Nagano, Naofumi Yoshida, Shin-Ichi Morinaga, Kouki Hikosaka

Abstract read
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In one paragraph

Article in Journal of plant research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Growth and Biomass Distribution Responses ofPlants (Basel, Switzerland) · 2025
    Article
  2. Article
  3. AoB PLANTS · 2019
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Qing-Wei WangGraduate School of Life Sciences, Tohoku University, Aoba, Sendai, 980-8578, Japan. wangqw08@gmail.com.ORCID http://orcid.org/0000-0002-5169-9881
Maya DaumalGraduate School of Life Sciences, Tohoku University, Aoba, Sendai, 980-8578, Japan.
Soichiro NaganoForest Tree Breeding Center, Forestry and Forest Products Research Institute, 3809-1 Ishi, Juo, Hitachi, Ibaraki, 319-1301, Japan.
Naofumi YoshidaFaculty of Science, Tohoku University, Aoba, Sendai, 980-8578, Japan.
Shin-Ichi MorinagaCollege of Bioresource Sciences, Nihon University, Fujisawa, Kanagawa, 252-0880, Japan.
Kouki HikosakaGraduate School of Life Sciences, Tohoku University, Aoba, Sendai, 980-8578, Japan.

Funding

CREST, JST, Japan No. JPMJCR11B3KAKENHI No. 17H03727KAKENHI No. 21114009KAKENHI No. 25291095Mitsui & Co., Ltd Environment Fund
6 · The paper itself

Abstract

In mountainous areas, plant distribution is constrained by various environmental stresses. Plasticity and constancy in plant functional traits may relate to optimal strategies at respective habitats and to ecotypic differentiation along elevation. Although plant biomass allocation has been extensively studied in relation to adaptation to soil nutrient availability along elevation, its optimality is still poorly understood. We examined soil nutrient availability in the field and conducted growth analysis for two elevational ecotypes of Arabidopsis halleri grown under different nutrient availabilities. We determined plasticity in morphological and physiological traits and evaluated optimal biomass allocation using an optimality model. Our field investigation indicated that soil nitrogen (N) availability increased rather than decreased with increasing elevation. Our growth analysis revealed that lowland ecotype was more plastic in morphological variables and N concentrations, whereas the highland ecotype was more plastic in other physiological variables such as the net assimilation rate (NAR). The leaf mass ratio (LMR) in the lowland ecotype was moderately plastic at the whole range of N availabilities, whereas LMR in the highland ecotype was very plastic at higher N availabilities only. The optimality model indicated that the LMR of the lowland ecotype was nearly optimal throughout the range of studied N availabilities, whereas that of the highland ecotype was suboptimal at low N availability. These results suggest that highland ecotype is adapted only to high N availability, whereas the lowland ecotype is adapted to a relatively wide range of N availabilities as a result of natural selection in their respective habitats. We conclude that an adaptive differentiation has occurred between the two ecotypes and plasticity in the biomass allocation is directly related to its optimization in changing environments.

Indexed as

Adaptation, PhysiologicalEcosystemEcotypeAltitudeArabidopsisJapanModels, BiologicalNitrogenSoilNitrogenSoilFunctional differentiationFunctional traitsOptimal allocationPhenotypic plasticityRelative growth rateRoot/shoot ratio

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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.