Evidence map›Paper›PMID 42078129›Full record

ArticleFrontiers in plant science2026

The impact of climate change on plant diversity in peatlands in Sichuan province, China.

Zhengxuan Wei, Yuelin Wang, Wende Chen, Jie Ran, Zhijia Wang, Ruojing Chen

Abstract read
In one paragraph

Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Zhengxuan WeiCollege of Geography and Planning, Chengdu University of Technology, Chengdu, China.
Yuelin WangCollege of Geography and Planning, Chengdu University of Technology, Chengdu, China.
Wende ChenCollege of Geography and Planning, Chengdu University of Technology, Chengdu, China.
Jie RanCollege of Geography and Planning, Chengdu University of Technology, Chengdu, China.
Zhijia WangCollege of Geography and Planning, Chengdu University of Technology, Chengdu, China.
Ruojing ChenCollege of Geography and Planning, Chengdu University of Technology, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: There are extensive peatland habitats in Sichuan Province, a crucial ecological barrier in southwest China. However, climate change has caused widespread degradation of peatland habitats, creating significant survival challenges for many peatland species. Methods: Using the MaxEnt model, we can assess the link between species distribution and environmental variables, forecast the geographical patterns of significant peatland plant richness hotspots in Sichuan Province from 1981 to 2010, and identify significant environmental driving factors. The probable distribution patterns for major peatland plants are further forecasted by combining three future(2071-2100s) climate outlooks, corresponding to SSP1-2.6 (low), SSP3-7.0 (medium), and SSP5-8.5 (high) emission trajectories. Results: The foremost variables determining the geographic distribution of peatland plants in Sichuan Province include SCD (Snow cover days, 41.5%), Slope (40.4%), TWI (Topographic wetness index, 7.3%), Bio15 (Precipitation seasonality, 2.2%), and Bio3 (Isothermality, 2.1%). SCD (optimal range of 120-240 days) plays a key role in regulating soil temperature, humidity, and protecting plants from cold, significantly affecting peatland plants in Sichuan Province. Overall, the distribution of 50 prominent peatland plants reveals a spatial pattern with northwest high and southeast low, with Zoige County having the richest species diversity. As climate conditions evolve, the possible habitats of major peatland plants will generally decrease, species richness will diminish, and biodiversity shifts near the boundaries of plateaus and basins will be particularly substantial. The majority of the advantageous peatland plant distribution regions have been included in the protection system. However, some potentially suitable and shrinking areas that have not been covered, and they should be prioritized in developing the protection network.

Indexed as

climate scenariosMaxEnt modelpeatland plantsSichuan provincespecies richness

Identifiers

PMID42078129
PMCPMC13133065

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LicenceCC BY
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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.