Evidence map›Paper›PMID 42056170›Full record

ArticleScientific reports2026

Impacts of climate change on the geographical distribution of rare and endangered Cyatheaceae in China: a MaxEnt model-based prediction.

Ting Ma, Guanglei Yang, Zijuan Wang

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

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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

3 authors.

Ting MaCollege of Agriculture and Biological Science, Dali University, Dali, 671003, China.
Guanglei YangCollege of Agriculture and Biological Science, Dali University, Dali, 671003, China.
Zijuan WangCollege of Agriculture and Biological Science, Dali University, Dali, 671003, China. 18388521001@163.com.

Funding

Special Basic Cooperative Research Programs of Yunnan Provincial Undergraduate Universities 202101BA070001-064
6 · The paper itself

Abstract

Cyatheaceae is one of Earth's oldest tree fern families and is currently facing degradation of natural habitats due to ecological environment deterioration. Therefore, an optimized MaxEnt model was used to predict changes in the potential habitats of Cyatheaceae species in China across past, present, and future periods (2030s-2090s) under three climate scenarios (SSPs126, SSPs245, SSPs585). The model showed high accuracy (AUC > 0.95, TSS > 0.87, CBI > 0.98), indicating that the predictions were reliable. The species' distribution was most affected by six environmental factors: bio2 (optimal ~ 5 °C), bio12 (optimal 2,500-3,800 mm), bio4 (optimal < 480), bio11 (optimal 12-20 °C), the human footprint index (hfp, optimal ~ 35), and bio17 (optimal 200-730 mm). From MH to the present, suitable habitats have decreased significantly, from 183.01 × 10

Indexed as

Climate ChangeEndangered SpeciesChinaConservation of Natural ResourcesEcosystemGeographyClimate changeCyatheaceaeMaxEntPotential suitable habitat

Identifiers

PMID42056170
PMCPMC13470217

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.