Evidence map›Paper›PMID 36311080›Full record

ArticleFrontiers in plant science2022

Large plants enhance aboveground biomass in arid natural forest and plantation along differential abiotic and biotic conditions.

Bai-Yu Yang, Arshad Ali, Ming-Shan Xu, Min-Sha Guan, Yan Li, Xue-Ni Zhang, Xue-Min He, Xiao-Dong Yang

Abstract read
In one paragraph

Article in Frontiers in plant science, 2022. 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. Article
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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

8 authors.

Bai-Yu YangDepartment of Geography & Spatial Information Technology, Ningbo University, Ningbo, China.
Arshad AliForest Ecology Research Group, College of Life Sciences, Hebei University, Baoding, China.
Ming-Shan XuInstitute of Resources and Environment Science, Xinjiang University, Urumqi, China.
Min-Sha GuanDepartment of Geography & Spatial Information Technology, Ningbo University, Ningbo, China.
Yan LiInstitute of Resources and Environment Science, Xinjiang University, Urumqi, China.
Xue-Ni ZhangInstitute of Resources and Environment Science, Xinjiang University, Urumqi, China.
Xue-Min HeInstitute of Resources and Environment Science, Xinjiang University, Urumqi, China.
Xiao-Dong YangDepartment of Geography & Spatial Information Technology, Ningbo University, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Big-sized trees, species diversity, and stand density affect aboveground biomass in natural tropical and temperate forests. However, these relationships are unclear in arid natural forests and plantations. Here, we hypothesized that large plants (a latent variable of tall-stature and big-crown, which indicated the effect of big-sized trees on ecosystem function and structure) enhance aboveground biomass in both arid natural forests and plantations along the gradients of climate water availability and soil fertility. To prove it, we used structural equation modeling (SEM) to test the influences of large plants located in 20% of the sequence formed by individual size (a synthetical value calculated from tree height and crown) on aboveground biomass in natural forests and plantations while considering the direct and indirect influences of species diversity as well as climatic and soil conditions, using data from 73 natural forest and 30 plantation plots in the northwest arid region of China. The results showed that large plants, species diversity, and stand density all increased aboveground biomass. Soil fertility declined aboveground biomass in natural forest, whereas it increased biomass in plantation. Although climatic water availability had no direct impact on aboveground biomass in both forests, it indirectly controlled the change of aboveground biomass

Indexed as

big-sized trees effectclimate water availabilityniche complementarity effectscaling theorysoil fertility

Identifiers

PMID36311080
PMCPMC9612956

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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.