Evidence map›Paper›PMID 41823866›Full record

ArticleBiology2026

Global Patterns and Future Dynamics of Four Invasive Cocklebur Species Under Climate Change: Contrasting Climatic and Anthropogenic Drivers.

Yunzhi Sang, Xuan Li, Jianghua Zheng, Zhong Liang, Liang Liu, Feifei Zhang, Ke Zhang, Jun Lin, Xuan Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biology, 2026. 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

9 authors.

Yunzhi SangCollege of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China.
Xuan LiCollege of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China.
Jianghua ZhengCollege of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China.
Zhong LiangCenter for Grassland Biological Disaster Prevention and Control of Xinjiang, Urumqi 830001, China.
Liang LiuCollege of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China.
Feifei ZhangCollege of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China.
Ke ZhangCollege of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China.
Jun LinCenter for Grassland Biological Disaster Prevention and Control of Xinjiang, Urumqi 830001, China.
Xuan LiuCollege of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, China.

Funding

Key Laboratory of Agricultural Biosafety in Xinjiang XJKLABKFJJ202503Remote Sensing Monitoring Project on Typical Biological Disasters in Xinjiang Grasslands 202534140011Xinjiang "Tianshan Yingcai" Cultivation Plan 2023SNGGGGCC004
6 · The paper itself

Abstract

Climate change, together with intensifying human activities, is reshaping global plant invasion dynamics and increasingly threatening ecosystem stability and biodiversity. Cockleburs are highly invasive weeds with strong ecological plasticity and dispersal capacity, causing widespread impacts on agricultural systems and native ecosystems. Here, we used the maximum entropy (MaxEnt) model to assess the current (2001-2020) and future (2021-2040, 2041-2060, and 2061-2080) potential distributions, key driving factors, and centroid shifts of four invasive cocklebur species-

Indexed as

biological invasionclimate changecockleburhabitat suitabilityMaxEnt

Identifiers

PMID41823866
PMCPMC12985310

What OpenQuestion holds

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LicenceCC BY
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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.