Evidence map›Paper›PMID 39929869›Full record

ArticleScientific reports2025

Ecological vulnerability and driving factors in the himalayan transboundary landscape under global climate change.

Kun Zhu, Yiwei Zhu, Zhenyu Zhao, Yu Wang, Xin Guo, Yuxiao Du, Jing Fu, Jun Gao

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

8 authors.

Kun ZhuSchool of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai, 200234, China.
Yiwei ZhuSchool of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai, 200234, China.
Zhenyu ZhaoSchool of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai, 200234, China.
Yu WangSchool of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai, 200234, China.
Xin GuoSchool of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai, 200234, China.
Yuxiao DuSchool of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai, 200234, China.
Jing FuSchool of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai, 200234, China. tristar@shnu.edu.cn.
Jun GaoSchool of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai, 200234, China. gaojun@shnu.edu.cn.

Funding

Second Tibetan Plateau Scientific Expedition Program 2019QZKK040103
6 · The paper itself

Abstract

Climate change and human activities are placing significant pressure on the carrying capacity of the Himalayan alpine ecosystem. This study focuses on seven transboundary protected areas and national parks in the Himalayas, including China's Everest National Nature Reserve and Nepal's Sagarmatha National Park, Manaslu Conservation Area, Langtang National Park, Gauri Sankar Conservation Area, Makalu Barun National Park, and Kanchenjunga Conservation Area. We used the Vulnerability Scoping Diagram (VSD) model to assess ecological vulnerability, analyzing land use changes and landscape patterns from 2000 to 2020 to identify key drivers of landscape changes. The fragmentation of ecological landscapes initially increased and then decreased, with values of 4.05, 3.99, and 3.86 observed, indicating a general reduction in regional ecological vulnerability. The south slope demonstrated lower ecological vulnerability than the north slope. Key factors influencing patch density included annual average temperature, population density, and annual precipitation. Annual precipitation, temperature, and the normalized vegetation index were the primary drivers of the largest patch index. The landscape shape index was most affected by precipitation, vegetation index, and slope, while the spread index was primarily influenced by precipitation and slope. The homogeneity index was most strongly related to annual precipitation, vegetation index, and normalized water index. This study provides a representative case for transboundary cooperation in ecological conservation, offering insights into sustainable development strategies for cross-border regions in the Himalayas.

Indexed as

Driving factorsEcological vulnerabilityGlobal climate changeHimalayan transboundary landscapeTransboundary conservation area

Identifiers

PMID39929869
PMCPMC11811191

What OpenQuestion holds

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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.