Evidence map›Paper›PMID 37914761›Full record

ArticleScientific reports2023

Biomod2 modeling for predicting the potential ecological distribution of three Fritillaria species under climate change.

Deya Huang, Qiuju An, Sipei Huang, Guodong Tan, Huige Quan, Yineng Chen, Jiayu Zhou, Hai Liao

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. The Response ofEcology and evolution · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Bio-Ecological Indicators forPlants (Basel, Switzerland) · 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.

Deya Huang *School of Life Science and Engineering, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China.
Qiuju An *School of Life Science and Engineering, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China.
Sipei Huang *School of Life Science and Engineering, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China.
Guodong TanSchool of Life Science and Engineering, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China.
Huige QuanSchool of Life Science and Engineering, Southwest Jiaotong University, Chengdu, 610031, Sichuan, China.
Yineng ChenSchool 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

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Fritillaria species ranked as a well-known traditional medicine in China and has become rare due to excessive harvesting. To find reasonable strategy for conservation and cultivation, identification of new ecological distribution of Fritillaria species together with prediction of those responses to climate change are necessary. In terms of current occurrence records and bioclimatic variables, the suitable habitats for Fritillaria delavayi, Fritillaria taipaiensis, and Fritillaria wabuensis were predicted. In comparison with Maxent and GARP, Biomod2 obtained the best AUC, KAPPA and TSS values of larger than 0.926 and was chosen to construct model. Temperature seasonality was indicated to put the greatest influence on Fritillaria taipaiensis and Fritillaria wabuensis, while isothermality was of most importance for Fritillaria delavayi. The current suitable areas for three Fritillaria species were distributed in south-west China, accounting for approximately 17.72%, 23.06% and 20.60% of China's total area, respectively. During 2021-2100 period, the suitable habitats of F. delavayi and F. wabuensis reached the maximum under SSP585 scenario, while that of F. taipaiensis reached the maximum under SSP126 scenario. The high niche overlap among three Fritillaria species showed correlation with the chemical composition (P ≤ 0.05), while no correlation was observed between niche overlap and DNA barcodes, indicating that spatial distribution had a major influence on chemical composition in the Fritillaria species. Finally, the acquisition of species-specific habitats would contribute to decrease in habitat competition, and future conservation and cultivation of Fritillaria species.

Indexed as

Climate ChangeFritillariaChinaEcosystemTemperature

Identifiers

PMID37914761
PMCPMC10620159

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.