Evidence map›Paper›PMID 39381194›Full record

ArticleEcology and evolution2024

An Invasion Risk Assessment of Alien Woody Species in Potential National Park Sites in Xinjiang, China, Under Climate Change.

Fei-Xue Zhang, Hong-Li Li, Ji-Zhong Wan

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 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

3 authors.

Fei-Xue ZhangThe Key Laboratory of Ecological Protection in the Yellow River Basin of National Forestry and Grassland Administration, School of Ecology and Nature Conservation Beijing Forestry University Beijing China.
Hong-Li LiThe Key Laboratory of Ecological Protection in the Yellow River Basin of National Forestry and Grassland Administration, School of Ecology and Nature Conservation Beijing Forestry University Beijing China.ORCID https://orcid.org/0000-0003-4061-2485
Ji-Zhong WanKey Laboratory of Mountain Surface Processes and Ecological Regulation, Institute of Mountain Hazards and Environment Chinese Academy of Sciences Chengdu China.ORCID https://orcid.org/0000-0001-6438-251X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The invasion of alien woody species may have broad ecological, economic, and health impacts on ecosystems and biodiversity under climate change. Previous studies showed that disrupting the biodiversity conservation mechanisms in protected areas can seriously threaten natural ecosystems and the protection of rare and endangered species in such protected areas. However, there is currently no standard for evaluating the invasion risk of woody plants under climate change when establishing national parks in China. Therefore, we used a species distribution model to evaluate the invasion risk of 250 invasive alien woody species in potential national park sites in Xinjiang under climate change. The results indicated that the probability of forest invasion in the potential Altai Kanas National Park was determined to be significantly higher than that of the average level in Xinjiang nature reserves, both under current and future climate conditions. At the same time, the probability of invasive woody species invading coniferous forests, broad-leaved forests, and grassland ecosystems is higher in the Altai Kanas and Tianshan potential national parks. We found that

Indexed as

climate changeinvasive woody plantsnational parksspecies distribution modelXinjiang province

Identifiers

PMID39381194
PMCPMC11459206

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.