Evidence map›Paper›PMID 36362941›Full record

ArticleLife (Basel, Switzerland)2022

Phylogenetic Relationships and Disturbance Explain the Resistance of Different Habitats to Plant Invasions.

Chaodan Guo, Caiyun Zhao, Feifei Li, Jianfeng Huang

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Chaodan GuoInstitute of Ecology, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.ORCID 0000-0003-1648-1497
Caiyun ZhaoInstitute of Ecology, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Feifei LiInstitute of Ecology, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Jianfeng HuangThe Administration Bureau of Encheng National Nature Reserve, Chongzuo 532200, China.

Funding

the National Key Research and Development Program of China 2017YFC0506200the Specially funded project of the Chinese Research Academy of Environmental Sciences in 2021 2021-JY-27
6 · The paper itself

Abstract

Invasive alien plants have invaded various habitats, posing a threat to biodiversity. Several hypotheses have been proposed to explain the mechanisms of invasion, but few studies have considered the characteristics of the invaded communities and the effects of human interference in the invasion. In this study, we compared the invasibility of three different habitats: abandoned land, eucalyptus plantations, and natural secondary forests. We explored the effects of species diversity, phylogenetic diversity, and disturbance factors on the invasibility of different habitats. The results showed that the invasibility of abandoned land was the highest and the invasibility of the natural secondary forest was the lowest. Phylogenetic indicators affected the invasibility of abandoned land and eucalyptus plantations, and disturbance factors affected the invasibility of all three habitats, while the characteristics of the invaded communities had a weak impact. Our research provided supporting evidence for Darwin's naturalization hypothesis and his disturbance hypothesis but found no relationship between biotic resistance and invasibility. This study indicated that the differences among habitats should be considered when we prove Darwin's naturalization hypothesis in nature reserves.

Indexed as

Darwin’s naturalization hypothesishabitat invasibilityinterference hypothesisinvasive alien plantsprotected areas

Identifiers

PMID36362941
PMCPMC9695334

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.