Evidence map›Paper›PMID 40177695›Full record

ArticleEcology and evolution2025

Climate-Induced Range Shift and Risk Assessment of Emerging Weeds in Queensland, Australia.

Olusegun O Osunkoya, Mohsen Ahmadi, Christine Perrett, Moya Calvert, Boyang Shi, Steve Csurhes, Farzin Shabani

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. 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

7 authors.

Olusegun O OsunkoyaInvasive Plant & Animal Science Unit, Biosecurity Queensland, Department of Agriculure & Fisheries EcoSciences Precinct Brisbane Queensland Australia.ORCID https://orcid.org/0000-0001-6525-3605
Mohsen AhmadiDepartment of Natural Resources Isfahan University of Technology Isfahan Iran.
Christine PerrettInvasive Plant & Animal Science Unit, Biosecurity Queensland, Department of Agriculure & Fisheries EcoSciences Precinct Brisbane Queensland Australia.
Moya CalvertInvasive Plant & Animal Science Unit, Biosecurity Queensland, Department of Agriculure & Fisheries EcoSciences Precinct Brisbane Queensland Australia.
Boyang ShiInvasive Plant & Animal Science Unit, Biosecurity Queensland, Department of Agriculure & Fisheries EcoSciences Precinct Brisbane Queensland Australia.
Steve CsurhesInvasive Plant & Animal Science Unit, Biosecurity Queensland, Department of Agriculure & Fisheries EcoSciences Precinct Brisbane Queensland Australia.
Farzin ShabaniCollege of Arts and Sciences Qatar University Doha Qatar.ORCID https://orcid.org/0000-0002-5100-8921

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anticipation and identification of new invasive alien species likely to establish, spread and be impactful in a landscape, especially in response to climate change, are consistently a top priority of natural resource managers. Using available global bioclimatic variables limiting plant distributions, we employed maximum entropy (MaxEnt) as a correlative species distribution model to predict the current and future (2041-2060 and 2061-2080) distribution for 54 emerging weed species of different growth forms for the State of Queensland, Australia. Overall, the model predictive performance was excellent, with area under the curve (AUC) and the true skill statistic (TSS) averaging 0.90 and 0.67, respectively. Based on distribution records, the emerging weed species sorted out along environmental (climatic) space-with trees and succulents, each at the two ends of the continuum, while grasses, herbs and shrubs were distributed between the two extremes. Temperature seasonality and minimum temperature of the coldest month were the main driver variables that accounted for differences in climatic preference among the focal species and/or plant growth forms. Range shifts were predicted for many species in response to climate change; overall, habitat range increase will occur more often than range contraction and especially more so in trees compared to all other plant growth forms. Range stability was least in succulent weeds. In general, under climate change, the majority of the invasion hotspot area was projected to remain geographically stable (76.95%). Far northern Queensland (especially the Gulf of Carpentaria and Cape York Peninsula areas) and the coastal communities along the eastern seaboards of the State are the hotspots for emerging invasive alien species to establish and expand/contract in response to climate change. Based on observed and potential ranges, as well as species response to climate change, we derived an index of risk and hence statewide prioritisation watch list for management and policy of the emerging weeds of Queensland.

Indexed as

climate changeinvasive alien speciespest prioritisationrange shiftrisk‐assessmentspecies distribution modelling

Identifiers

PMID40177695
PMCPMC11964613

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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.