Evidence map›Paper›PMID 29636551›Full record

ArticleScientific reports2018

Invasive Rosa rugosa populations outperform native populations, but some populations have greater invasive potential than others.

Shuping Zhang, Maike Isermann, Wenhao Gan, Martin Breed

Abstract read
In one paragraph

Article in Scientific reports, 2018. 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
  2. Article
  3. Introduced plants ofEcology and evolution · 2020
    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.

Shuping ZhangInstitute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 250100, Jinan, China. spzhang@sdu.edu.cn.ORCID 0000-0002-1204-4196
Maike IsermannVegetation Ecology and Conservation Biology, Department of Ecology, FB 2, Bremen University, D-28359, Bremen, Germany.
Wenhao GanInstitute of Ecology and Biodiversity, School of Life Sciences, Shandong University, 250100, Jinan, China.
Martin BreedSchool of Biological Sciences, University of Adelaide, South Australia, 5005, Australia.ORCID 0000-0001-7810-9696

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increased performance of invasive plant species in their introduced range vs. their native range has been previously documented. However, performance differences among invasive populations have rarely been explored, despite this information being central to understanding the evolution of invasiveness as well as being a useful basis to inform management of invasive species. To examine variation in performance among populations of Rosa rugosa in its introduced range, and whether introduced populations perform better than native populations, we quantified growth and reproductive traits in five invasive populations in northwest Europe and two native and declining populations in China. Overall, we found that the introduced R. rugosa populations we sampled performed significantly better than the sampled native populations for growth and reproductive traits (2 to 4 fold increase). However, there was significant variation for most traits among the five invasive populations, demonstrating that some introduced populations we sampled were more successful invaders than others. Our findings provide a useful foundation for management of invasive R. rugosa in Europe, and support the recent call for more intra-species research in invasive species biology.

Indexed as

Introduced SpeciesQuantitative Trait, HeritableRosaChinaEuropePopulation Dynamics

Identifiers

PMID29636551
PMCPMC5893583

What OpenQuestion holds

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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.