Evidence map›Paper›PMID 40060722›Full record

ArticleEcology and evolution2025

Utilization Patterns and Optimization Suggestions for Wildlife Passages in Xinjiang Nature Reserves.

Mengdi Fu, Jun Wang, Shuang Li, Le Qin, Junsheng Li, Shichao Jin

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Mengdi FuState Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Regional Eco-Process and Function Assessment Chinese Research Academy of Environmental Sciences Beijing China.ORCID https://orcid.org/0000-0003-1646-8882
Jun WangCenter for Biodiversity and Nature Reserve Chinese Academy of Environmental Planning Beijing China.
Shuang LiState Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Regional Eco-Process and Function Assessment Chinese Research Academy of Environmental Sciences Beijing China.
Le QinState Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Regional Eco-Process and Function Assessment Chinese Research Academy of Environmental Sciences Beijing China.
Junsheng LiCommand Center for Comprehensive Survey of Natural Resources China Geological Survey Bureau Beijing China.
Shichao JinCenter for Biodiversity and Nature Reserve Chinese Academy of Environmental Planning Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The expansion of linear infrastructure presents a significant threat to biodiversity, emphasizing the urgent need for regional studies on spatial variations and comprehensive multispecies research. This study surveyed and monitored wildlife passages across eight nature reserves in Xinjiang, evaluating their construction status, utilization patterns, and key factors influencing utilization rates, as well as providing optimization recommendations. The findings revealed that dedicated wildlife passages were scarce, especially in smaller reserves, which primarily relied on small bridges and culverts originally designed for water flow. Enhancing the construction of passages in these areas is strongly recommended. A total of 32 wildlife species were recorded, comprising 13 bird species and 19 mammal species. Ungulates, including bharal (

Indexed as

fenceinfluencing factorlinear infrastructureutilization ratewildlife passage

Identifiers

PMID40060722
PMCPMC11890657

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.