Evidence map›Paper›PMID 40860220›Full record

ArticleEcology and evolution2025

Combining Niche Breadth to Predict the Current and Future Distribution of Leguminosae Under Climate Change on the Qinghai-Xizang Plateau.

Sen-Xin Chai, Hui-Yuan Ma, Chen-Di Wang, Yan-Gang Ying, Dong Han, Yue Zhong, Bo Wang, Yuan-Ming Xiao, Ying Yang, Guo-Ying Zhou

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

10 authors.

Sen-Xin ChaiCAS Key Laboratory of Tibetan Medicine Research Northwest Institute of Plateau Biology Xining China.ORCID https://orcid.org/0009-0004-1011-7330
Hui-Yuan MaCAS Key Laboratory of Tibetan Medicine Research Northwest Institute of Plateau Biology Xining China.
Chen-Di WangQinghai Traffic Construction Management Co., Ltd. Xining China.
Yan-Gang YingQinghai Traffic Construction Management Co., Ltd. Xining China.
Dong HanQinghai Traffic Construction Management Co., Ltd. Xining China.
Yue ZhongQinghai Traffic Construction Management Co., Ltd. Xining China.
Bo WangCAS Key Laboratory of Tibetan Medicine Research Northwest Institute of Plateau Biology Xining China.ORCID https://orcid.org/0000-0003-3713-0856
Yuan-Ming XiaoCAS Key Laboratory of Tibetan Medicine Research Northwest Institute of Plateau Biology Xining China.
Ying YangCAS Key Laboratory of Tibetan Medicine Research Northwest Institute of Plateau Biology Xining China.ORCID https://orcid.org/0009-0002-0754-5313
Guo-Ying ZhouCAS Key Laboratory of Tibetan Medicine Research Northwest Institute of Plateau Biology Xining China.ORCID https://orcid.org/0000-0003-2485-6172

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Leguminosae family plays a significant role in life and serves as an important food crop. However, global warming poses a serious threat to the growth and potential distribution of Leguminosae species on the Qinghai-Xizang Plateau. In this study, we employed the MaxEnt model alongside ecological niche models (ENMtools) to predict the distribution of Leguminosae in the Qinghai-Xizang Plateau under various climate scenarios (RCP2.6, RCP6.0, RCP8.5) for both the present (Current) and future (2050s, 2070s). This analysis was conducted in conjunction with ecological niche principles. The results showed that: (1) The AUC values of the eight Leguminosae species were all greater than 0.9, indicating that the model had a good prediction accuracy. (2) The distribution of the eight Leguminosae species was primarily influenced by altitude.

Indexed as

ecological nicheeight Leguminosae speciesMaxEnt modelpotential distribution

Identifiers

PMID40860220
PMCPMC12370446

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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.