Evidence map›Paper›PMID 35046442›Full record

ArticleScientific reports2022

Exploring how functional traits modulate species distributions along topographic gradients in Baxian Mountain, North China.

Lili Tang, William K Morris, Mei Zhang, Fuchen Shi, Peter A Vesk

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. The influence of scale-dependent geodiversity on species distribution models in a biodiversity hotspot.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2024
    Article
  3. Article
  4. Article
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

5 authors.

Lili TangCollege of Life Sciences, Nankai University, Tianjin, China.
William K MorrisSchool of BioSciences, The University of Melbourne, Melbourne, VIC, Australia.
Mei ZhangCollege of Life Sciences, Nankai University, Tianjin, China.
Fuchen ShiCollege of Life Sciences, Nankai University, Tianjin, China. fcshi@nankai.edu.cn.
Peter A VeskSchool of BioSciences, The University of Melbourne, Melbourne, VIC, Australia. pvesk@unimelb.edu.au.

Funding

the Ministry of Science and Technology of China #2011FY110300the Special Fund for Industrial System Construction of Modern Agriculture of Tianjin, China No. ITTFPR2018001
6 · The paper itself

Abstract

The associations between functional traits and species distributions across environments have attracted increasing interest from ecologists and can enhance knowledge about how plants respond to the environments. Here, we applied a hierarchical generalized linear model to quantifying the role of functional traits in plant occurrence across topographic gradients. Functional trait data, including specific leaf area, maximum height, seed mass and stem wood density, together with elevation, aspect and slope, were used in the model. In our results, species responses to elevation and aspect were modulated by maximum height and seed mass. Generally, shorter tree species showed positive responses to incremental elevation, while this trend became negative as the maximum height exceeded 22 m. Most trees with heavy seeds (> 1 mg) preferred more southerly aspects where the soil was drier, and those light-seed trees were opposite. In this study, the roles of maximum height and seed mass in determining species distribution along elevation and aspect gradients were highlighted where plants are confronted with low-temperature and soil moisture deficit conditions. This work contributes to the understanding of how traits may be associated with species occurrence along mesoscale environmental gradients.

Identifiers

PMID35046442
PMCPMC8770611

What OpenQuestion holds

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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.