Evidence map›Paper›PMID 39730691›Full record

ArticleScientific reports2024

Prediction of change in suitable habitats of Senna obtusifolia and Senna tora under climate change.

Yineng Chen, Chenlu Luo, Xue Huang, Wenjie Li, Han Yan, Huiyue Ji, Jiayu Zhou, Hai Liao

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Predicting the Potential Distribution ofPlants (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Co-expression ofFrontiers in plant science · 2025
    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.

Yineng Chen *School of Life Science and Engineering, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China.
Chenlu Luo *School of Life Science and Engineering, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China.
Xue HuangSchool of Life Science and Engineering, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China.
Wenjie LiSchool of Life Science and Engineering, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China.
Han YanSchool of Life Science and Engineering, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China.
Huiyue JiSchool of Life Science and Engineering, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China.
Jiayu ZhouSchool of Life Science and Engineering, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China. spinezhou@home.swjtu.edu.cn.
Hai LiaoSchool of Life Science and Engineering, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China. ddliaohai@home.swjtu.edu.cn.

Funding

National Natural Science Foundation of China 32270410
6 · The paper itself

Abstract

Senna obtusifolia (L.) Irwin & Barneby and Senna tora (L.) Roxb represent important medicinal resources in traditional Chinese medicine for more than two millennia. Sustainable resource utilization and preservation strategies for Senna species necessitate a thorough understanding of the climatic factors governing their distribution patterns. Therefore, this study aimed to identify the key climate variables shaping the current and potential future global distribution of both Senna species. To achieve this, the MaxEnt ecological niche model was employed, integrating species occurrence data with relevant environmental variables. The results indicated that Bio13 and Bio14 were the most critical variables affecting distribution of S. tora, while Bio6 and Bio14 were crucial for S. obtusifolia. The moderate and high suitability habitats of S. obtusifolia and S. tora consist of ca. 189.69 × 10

Indexed as

Climate ChangeEcosystemSenna PlantConservation of Natural ResourcesClimate changeDistributionMaxEntSenna obtusifoliaSenna tora

Identifiers

PMID39730691
PMCPMC11680689

What OpenQuestion holds

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Registered trials

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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.