Evidence map›Paper›PMID 38911490›Full record

ArticleEcology and evolution2024

Distribution model and prediction of the tree fern

Zhen Wang, Ning Li, Ruixiang Xu, Zhanming Ying, Xiaoxian Ruan, Ting Wang, Wenbo Liao, Yingjuan Su

Abstract read
In one paragraph

Article in Ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Habitat Redistribution ofPlants (Basel, Switzerland) · 2026
    Article
  3. Article
  4. 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.

Zhen WangSchool of Life Sciences Sun Yat-sen University Guangzhou China.
Ning LiSchool of Life Sciences Sun Yat-sen University Guangzhou China.
Ruixiang XuSchool of Life Sciences Sun Yat-sen University Guangzhou China.
Zhanming YingSchool of Life Sciences Sun Yat-sen University Guangzhou China.
Xiaoxian RuanSchool of Life Sciences Sun Yat-sen University Guangzhou China.
Ting WangResearch Institute of Sun Yat-sen University in Shenzhen Shenzhen China.ORCID https://orcid.org/0000-0001-5025-4584
Wenbo LiaoSchool of Life Sciences Sun Yat-sen University Guangzhou China.
Yingjuan SuSchool of Life Sciences Sun Yat-sen University Guangzhou China.ORCID https://orcid.org/0000-0001-6110-2869

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climatic change is a challenge for plant conservation due to plants' limited dispersal abilities. The survival and sustainable development of plants directly depend on the availability of suitable habitats. In this study, we employed an optimized MaxEnt model to evaluate the relative contribution of each environmental variable and predict the suitable habitat for

Indexed as

Alsophila costularis Bakerclimate changeenvironmental variablesMaxEnt modelpotentially suitable habitatspecies distribution models

Identifiers

PMID38911490
PMCPMC11192646

What OpenQuestion holds

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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.