Evidence map›Paper›PMID 38259957›Full record

ArticleEcology and evolution2024

Soil nutrient limitation and natural enemies promote the establishment of alien species in native communities.

Yu-Han Xu, Yu-Jian Guo, Yan-Feng Bai, Yuan-Yuan Liu, Yong-Jian Wang

Abstract read
In one paragraph

Article in Ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Yu-Han XuCollege of Horticulture and Forestry Sciences Huazhong Agricultural University Wuhan China.
Yu-Jian GuoCollege of Horticulture and Forestry Sciences Huazhong Agricultural University Wuhan China.
Yan-Feng BaiResearch Institute of Forestry Chinese Academy of Forestry Beijing China.
Yuan-Yuan LiuCollege of Horticulture and Forestry Sciences Huazhong Agricultural University Wuhan China.
Yong-Jian WangCollege of Horticulture and Forestry Sciences Huazhong Agricultural University Wuhan China.ORCID https://orcid.org/0000-0002-2027-2084

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The invasion of alien plant species threatens the composition and diversity of native communities. However, the invasiveness of alien plants and the resilience of native communities are dependent on the interactions between biotic and abiotic factors, such as natural enemies and nutrient availability. In our study, we simulated the invasion of nine invasive plant species into native plant communities using two levels of nutrient availability and suppression of natural enemies. We evaluated the effect of biotic and abiotic factors on the response of alien target species and the resistance of native communities to invasion. The results showed that the presence of enemies (enemy release) increased the biomass proportion of alien plants while decreasing that of native communities in the absence of nutrient addition. Furthermore, we also found that the negative effect of enemy suppression on the evenness of the native community and the root-to-shoot ratio of alien target species was greatest under nutrient addition. Therefore, nutrient-poor and natural enemies might promote the invasive success of alien species in native communities, whereas nutrient addition and enemy suppression can better enhance the resistance of native plant communities to invasion.

Indexed as

natural enemies' suppressionnutrient additionnutrient‐poorplant invasionselect effect

Identifiers

PMID38259957
PMCPMC10803180

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.