Evidence map›Paper›PMID 30151177›Full record

ArticleEcology and evolution2018

Are dominant plant species more susceptible to leaf-mining insects? A case study at Saihanwula Nature Reserve, China.

Xiaohua Dai, Chengpeng Long, Jiasheng Xu, Qingyun Guo, Wei Zhang, Zhihong Zhang, Bater

Abstract read
In one paragraph

Article in Ecology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

7 authors.

Xiaohua DaiLeafminer Group School of Life and Environmental Sciences Gannan Normal University Ganzhou China.ORCID 0000-0002-2891-159X
Chengpeng LongLeafminer Group School of Life and Environmental Sciences Gannan Normal University Ganzhou China.
Jiasheng XuLeafminer Group School of Life and Environmental Sciences Gannan Normal University Ganzhou China.
Qingyun GuoLeafminer Group School of Life and Environmental Sciences Gannan Normal University Ganzhou China.
Wei ZhangLeafminer Group School of Life and Environmental Sciences Gannan Normal University Ganzhou China.
Zhihong ZhangLeafminer Group School of Life and Environmental Sciences Gannan Normal University Ganzhou China.
BaterSaihanwula National Nature Reserve Administration Daban China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dominant species significantly affect interspecific relationships, community structure, and ecosystem function. In the field, dominant species are often identified by their high importance values. Selective foraging on dominant species is a common phenomenon in ecology. Our hypothesis is that dominant plant groups with high importance values are more susceptible to leaf-mining insects at the regional level. Here, we used the Saihanwula National Nature Reserve as a case study to examine the presence-absence patterns of leaf-mining insects on different plants in a forest-grassland ecotone in Northeast China. We identified the following patterns: (1) After phylogenetic correction, plants with high importance values are more likely to host leafminers at the species, genus, or family level. (2) Other factors including phylogenetic isolation, life form, water ecotype, and phytogeographical type of plants have different influences on the relationship between plant dominance and leafminer presence. In summary, the importance value is a valid predictor of the presence of consumers, even when we consider the effects of plant phylogeny and other plant attributes. Dominant plant groups are large and susceptible targets of leaf-mining insects. The consistent leaf-mining distribution pattern across different countries, vegetation types, and plant taxa can be explained by the "species-area relationship" or the "plant apparency hypothesis."

Indexed as

apparencyimportance valueLeafminerphylogenetic generalized linear mixed model (PGLMM)species–area relationship

Identifiers

PMID30151177
PMCPMC6106163

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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.