Evidence map›Paper›PMID 40427759›Full record

ArticleBiology2025

Ecological Correlates of Ecological Specialization of Avian Communities in University Campuses of China.

Ling-Ying Shuai, Di Meng, Wan-Lan Ma, Jing-Wen Bai, Yue Luo, Yu-Xin Luo, Zhu-Cheng Gao, Hao Zhu, Zhu-Qin Long

Abstract read
In one paragraph

Article in Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ling-Ying ShuaiCollege of Life Sciences, Huaibei Normal University, Huaibei 235000, China.
Di MengCollege of Life Sciences, Huaibei Normal University, Huaibei 235000, China.
Wan-Lan MaCollege of Life Sciences, Huaibei Normal University, Huaibei 235000, China.
Jing-Wen BaiCollege of Life Sciences, Huaibei Normal University, Huaibei 235000, China.
Yue LuoCollege of Life Sciences, Huaibei Normal University, Huaibei 235000, China.
Yu-Xin LuoCollege of Life Sciences, Huaibei Normal University, Huaibei 235000, China.
Zhu-Cheng GaoCollege of Life Science and Technology, Harbin Normal University, Harbin 150025, China.
Hao ZhuCollege of Life Sciences, Huaibei Normal University, Huaibei 235000, China.
Zhu-Qin LongCollege of Life Sciences, Huaibei Normal University, Huaibei 235000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the rapid process of urbanization at a global scale, university campuses have been viewed as important urban green spaces for biodiversity conservation. However, little is known about the role of university campuses in protecting ecological specialists, the species usually vulnerable to anthropogenic disturbance. We assessed the associations between several ecological variates and ecological specialization of bird communities across 198 Chinese university campuses. A total of 398 bird species were recorded, including 109 diet specialist species and 104 foraging stratum specialist species. We found that the elevation of campuses was positively related to diet specialist species richness, and the campus area was positively related to foraging stratum specialist species richness. NDVI was positively associated with the community-wide foraging stratum specialization index, but negatively associated with the community-wide diet specialization index. Our results suggest that campuses with larger areas or located at high elevations play an important role in maintaining ecological specialization of bird communities.

Indexed as

birdcampusdietecological specializationforaging stratumurban green space

Identifiers

PMID40427759
PMCPMC12109526

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.