Evidence map›Paper›PMID 41497392›Full record

ArticleiScience2025

Future Tibetan grasslands will decrease: A novel insight from constructive grass species.

Guoyong Tang, Qingwan Li, Shunbin Wang, Jinkai Gu, Qinglin Li, Shengjian Xiang, Wanchi Li

Abstract read
In one paragraph

Article in iScience, 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

7 authors.

Guoyong TangChuxiong Normal University, Chuxiong, China.
Qingwan LiChuxiong Normal University, Chuxiong, China.
Shunbin WangChuxiong Normal University, Chuxiong, China.
Jinkai GuInstitute of Highland Forest Science, Chinese Academy of Forestry Sciences, Kunming, China.
Qinglin LiInstitute of International Rivers and Eco-security, Yunnan University, Kunming, China.
Shengjian XiangInstitute of Highland Forest Science, Chinese Academy of Forestry Sciences, Kunming, China.
Wanchi LiInstitute of Highland Forest Science, Chinese Academy of Forestry Sciences, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tibet's grasslands, the region's dominant ecosystem, are vital for pastoral livelihoods and wildlife habitats. However, their future distribution under combined climate change and anthropogenic pressures remains poorly understood. This study presents an innovative species-level modeling framework to project Tibetan grassland dynamics through the simulated future spatial distribution of 44 constructive grass species. Our results show a net decline of 4.6% in grassland area by 2060, characterized by a 6.7% reduction in productive grasslands yet a 6.6% expansion of wildlife-habitat grasslands. Projected losses are greater under 2°C/century or 5°C/century warming than under intermediate warming trajectories (3°C-4.1°C/century). These findings suggest climate change will challenge pastoral productivity while benefiting Tibetan wildlife, offering key insights for navigating the complex trade-off between sustaining pastoralism and preserving biodiversity in high-altitude grassland ecosystems.

Indexed as

Environmental sciencePhysical geographyPlant ecology

Identifiers

PMID41497392
PMCPMC12767175

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.