Distribution patterns of

Chao Feng, Changchang Liu, Changchun Du, Jun Ye, Xue Song, Zhu Wang, Mengyao Gao, Zhaojun Bu, Jin Kou

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.

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

9 authors.

Chao FengKey Laboratory of Southwest China Wildlife Resources Conservation, China West Normal University, Ministry of Education, Nanchong, Sichuan, China.

Changchang LiuHeilongjiang Communications Polytechnic, Qiqihar, Heilongjiang, China.

Changchun DuMining District Development Center of Jungar Banner, Ordos, China.

Jun YeInner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, China.

Xue SongKey Laboratory of Vegetation Ecology, Ministry of Education, School of Life Sciences, Northeast Normal University, Changchun, Jilin, China.

Zhu WangKey Laboratory of Vegetation Ecology, Ministry of Education, School of Life Sciences, Northeast Normal University, Changchun, Jilin, China.

Mengyao GaoKey Laboratory of Grassland Resources, Ministry of Education P.R. of China, Inner Mongolia Agricultural University, Hohhot, China.

Zhaojun BuKey Laboratory of Geographical Processes and Ecological Security in Changbai Mountains, Ministry of Education, School of Geographical Sciences, Northeast Normal University, Changchun, China.

Jin KouKey Laboratory of Southwest China Wildlife Resources Conservation, China West Normal University, Ministry of Education, Nanchong, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: We compared the performance of different ecological niche models and then chose MaxEnt, which had the best performance, to analyze the effects of key environmental factors on the distribution patterns of Results: The results indicated that (1) temperature may play a more important role than precipitation in both species' distribution. Isothermality and precipitation of the driest month are the most important factors defining the distribution pattern of Discussion/Conclusion: Our results provide a research foundation for the study of bryophyte differentiation across large spatiotemporal scales under climate change.

Indexed as

Abietinellaclimate changedistribution patternMaxEntshifts

Identifiers

PMID42890228

DOI10.3389/fpls.2026.1822978

PMCPMC13672545

What OpenQuestion holds

Textmetadata

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.