Evidence map›Paper›PMID 41041402›Full record

ArticleEcology and evolution2025

Evaluating Climate Change Effects on Swan Habitats Within China: Adaptive Strategies for Sustainable Conservation.

Ke Zhang, Jun Lin, Jianghua Zheng, Xuan Li, Li Xu, Liang Liu, Xuan Liu, Xi Jin, Rong Fu, Xinwei Wang and 2 more

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

12 authors.

Ke ZhangCollege of Geography and Remote Sensing Science Xinjiang University Urumqi China.ORCID https://orcid.org/0009-0005-0210-3294
Jun LinCenter for Wildlife Conservation and Monitoring of Xinjiang Uygur Autonomous Region Urumqi China.
Jianghua ZhengCollege of Geography and Remote Sensing Science Xinjiang University Urumqi China.ORCID https://orcid.org/0000-0002-1355-1085
Xuan LiCollege of Geography and Remote Sensing Science Xinjiang University Urumqi China.
Li XuCollege of Geography and Remote Sensing Science Xinjiang University Urumqi China.
Liang LiuCollege of Geography and Remote Sensing Science Xinjiang University Urumqi China.
Xuan LiuCollege of Geography and Remote Sensing Science Xinjiang University Urumqi China.ORCID https://orcid.org/0009-0000-5890-7287
Xi JinCollege of Geography and Remote Sensing Science Xinjiang University Urumqi China.
Rong FuCollege of Geography and Remote Sensing Science Xinjiang University Urumqi China.
Xinwei WangCollege of Geography and Remote Sensing Science Xinjiang University Urumqi China.
Yunzhi SangCollege of Geography and Remote Sensing Science Xinjiang University Urumqi China.
Xiaoyu GuoCollege of Geography and Remote Sensing Science Xinjiang University Urumqi China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Under the combined pressures of global climate change and human activities, swan habitats in China are facing severe threats, posing direct challenges to the effectiveness of existing protected areas. However, the dynamic changes in the distribution of swan habitats and conservation coverage under climate change remain insufficiently explored. In this study, we focused on three widely distributed swan species in China-

Indexed as

climate changehabitat suitabilitymaximum entropy modelprotected areaswans

Identifiers

PMID41041402
PMCPMC12486193

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.