Evidence map›Paper›PMID 31388050›Full record

ArticleScientific reports2019

Global distribution modelling, invasion risk assessment and niche dynamics of Leucanthemum vulgare (Ox-eye Daisy) under climate change.

Rameez Ahmad, Anzar A Khuroo, Bipin Charles, Maroof Hamid, Irfan Rashid, N A Aravind

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  8. Niche dynamics ofEcology and evolution · 2021
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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

6 authors.

Rameez AhmadCentre for Biodiversity & Taxonomy, Department of Botany, University of Kashmir, Srinagar, 190006, J & K, India.
Anzar A KhurooCentre for Biodiversity & Taxonomy, Department of Botany, University of Kashmir, Srinagar, 190006, J & K, India. anzarak@gmail.com.
Bipin CharlesAshoka Trust for Research in Ecology and the Environment (ATREE), Royal Enclave, Srirampura, Jakkur PO, Bengaluru, 560064, India.
Maroof HamidCentre for Biodiversity & Taxonomy, Department of Botany, University of Kashmir, Srinagar, 190006, J & K, India.
Irfan RashidBiological Invasions Laboratory, Department of Botany, University of Kashmir, Srinagar, 190006, J & K, India.
N A AravindAshoka Trust for Research in Ecology and the Environment (ATREE), Royal Enclave, Srirampura, Jakkur PO, Bengaluru, 560064, India.ORCID http://orcid.org/0000-0002-4515-8421

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In an era of climate change, biological invasions by alien species represent one of the main anthropogenic drivers of global environmental change. The present study, using an ensemble modelling approach, has mapped current and future global distribution of the invasive Leucanthemum vulgare (Ox-eye Daisy) and predicted the invasion hotspots under climate change. The current potential distribution of Ox-eye Daisy coincides well with the actual distribution records, thereby indicating robustness of our model. The model predicted a global increase in the suitable habitat for the potential invasion of this species under climate change. Oceania was shown to be the high-risk region to the potential invasion of this species under both current and future climate change scenarios. The results revealed niche conservatism for Australia and Northern America, but contrastingly a niche shift for Africa, Asia, Oceania and Southern America. The global distribution modelling and risk assessment of Ox-eye Daisy has immediate implications in mitigating its invasion impacts under climate change, as well as predicting the global invasion hotspots and developing region-specific invasion management strategies. Interestingly, the contrasting patterns of niche dynamics shown by this invasive plant species provide novel insights towards disentangling the different operative mechanisms underlying the process of biological invasions at the global scale.

Indexed as

Climate ChangeLeucanthemumPlant DispersalAfricaAsiaAustraliaComputer SimulationEcological Parameter MonitoringForecastingIntroduced SpeciesModels, StatisticalNorth AmericaOceaniaRisk AssessmentSouth America

Identifiers

PMID31388050
PMCPMC6684661

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.