Evidence map›Paper›PMID 35784019›Full record

ArticleEcology and evolution2022

Links between leaf anatomy and leaf mass per area of herbaceous species across slope aspects in an eastern Tibetan subalpine meadow.

Xin'e Li, Xin Zhao, Yuki Tsujii, Yueqi Ma, Renyi Zhang, Cheng Qian, Zixi Wang, Feilong Geng, Shixuan Jin

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

9 authors at 3 institutions in 3 countries.

Xin'e LiDivision of Grassland Science College of Animal Science and Technology Yangzhou University Yangzhou Jiangsu China.ORCID https://orcid.org/0000-0002-6958-6252
Xin ZhaoDivision of Grassland Science College of Animal Science and Technology Yangzhou University Yangzhou Jiangsu China.
Yuki TsujiiSchool of Natural Sciences Macquarie University Sydney New South Wales Australia.ORCID https://orcid.org/0000-0003-3646-8142
Yueqi MaDivision of Grassland Science College of Animal Science and Technology Yangzhou University Yangzhou Jiangsu China.
Renyi ZhangCollege of Ecology Lanzhou University Lanzhou China.
Cheng QianDivision of Grassland Science College of Animal Science and Technology Yangzhou University Yangzhou Jiangsu China.
Zixi WangDivision of Grassland Science College of Animal Science and Technology Yangzhou University Yangzhou Jiangsu China.
Feilong GengDivision of Grassland Science College of Animal Science and Technology Yangzhou University Yangzhou Jiangsu China.
Shixuan JinDivision of Grassland Science College of Animal Science and Technology Yangzhou University Yangzhou Jiangsu China.
Yangzhou University · CNKyushu University · JPLanzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leaf anatomy varies with abiotic factors and is an important trait for understanding plant adaptive responses to environmental conditions. Leaf mass per area (LMA) is a key morphological trait and is related to leaf performance, such as light-saturated photosynthetic rate per leaf mass, leaf mechanical strength, and leaf lifespan. LMA is the multiplicative product of leaf thickness (LT) and leaf density (LD), both of which vary with leaf anatomy. Nevertheless, how LMA, LT, and LD covary with leaf anatomy is largely unexplored along natural environmental gradients. Slope aspect is a topographic factor that underlies variations in solar irradiation, air temperature, humidity, and soil fertility. In the present study, we examined (1) how leaf anatomy varies with different slope aspects and (2) how leaf anatomy is related to LMA, LD, and LT. Leaf anatomy was measured for 30 herbaceous species across three slope aspects (south-, west-, and north-facing slopes; hereafter, SFS, WFS, and NFS, respectively) in an eastern Tibetan subalpine meadow. For 18 of the 30 species, LMA data were available from previous studies. LD was calculated as LMA divided by LT. Among the slope aspects, the dominant species on the SFS exhibited the highest LTs with the thickest spongy mesophyll layers. The thicker spongy mesophyll layer was related to a lower LD via larger intercellular airspaces. In contrast, LD was the highest on NFS among the slope aspects. LMA was not significantly different among the slope aspects because higher LTs on SFS were effectively offset by lower LDs. These results suggest that the relationships between leaf anatomy and LMA were different among the slope aspects. Mechanisms underlying the variations in leaf anatomy may include different solar radiation, air temperatures, soil water, and nutrient availabilities among the slope aspects.

Indexed as

functional traitleaf economics spectrumleaf morphologyleaf trait plasticityspecies turnover

Identifiers

PMID35784019
PMCPMC9163673
OpenAlexW4281888401

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LicenceCC BY
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Registered trials

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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.