Evidence map›Paper›PMID 39502915›Full record

ArticleFrontiers in plant science2024

Analyzing the distribution patterns and dynamic niche of

Wenqian Zhang, Xinshuai Wang, Shouyun Shen, Yanghui Zhao, Siwen Hao, Jinghuan Jiang, Donglin Zhang

Abstract read
In one paragraph

Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

7 authors.

Wenqian ZhangCollege of Landscape Architecture, Central South University of Forestry and Technology, Changsha, Hunan, China.
Xinshuai WangChinese Research Academy of Environmental Sciences, Beijing, China.
Shouyun ShenCollege of Landscape Architecture, Central South University of Forestry and Technology, Changsha, Hunan, China.
Yanghui ZhaoCollege of Landscape Architecture, Central South University of Forestry and Technology, Changsha, Hunan, China.
Siwen HaoCollege of Landscape Architecture, Central South University of Forestry and Technology, Changsha, Hunan, China.
Jinghuan JiangCollege of Landscape Architecture, Central South University of Forestry and Technology, Changsha, Hunan, China.
Donglin ZhangCollege of Landscape Architecture, Central South University of Forestry and Technology, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Magnolia grandiflora L. (southern magnolia) is native to the southeastern coastal areas of the United States, from North Carolina to eastern Texas (USDA Cold Hardiness Zone 8). It is currently widely cultivated in Zones 5-10 in the U.S. and in southern Yangtze River regions in China. Limited studies have examined the effects of climate change and human activities on the geographical distribution and adaptability of M. grandiflora during its introduction to China. Methods: We selected 127 occurrence points in the U.S. and 87 occurrence points in China, along with 43 environmental variables, to predict suitable habitat areas for M. grandiflora using present climate data (1970-2000) and projected future climate data (2050-2070) based on a complete niche ensemble model (EM) using the Biomod2 package. We also predicted the niche change of M. grandiflora in both countries using the 'ecospat' package in R. Results: The ensemble models demonstrated high reliability, with an AUC of 0.993 and TSS of 0.932. Solar radiation in July, human impact index, and precipitation of the wettest month were identified as the most critical variables influencing M. grandiflora distribution. The species shows a similar trend of distribution expansion under climate change scenarios in both countries, with predicted expansions towards the northwest and northeast, and contractions in southern regions. Discussion: Our study emphasizes a practical framework for predicting suitable habitats and migration of Magnoliaceae species under climate change scenarios. These findings provide valuable insights. for species conservation, introduction, management strategies, and sustainable utilization of M. grandiflora.

Indexed as

biomod2introduced speciesniche shiftspotential geographic distributionsouthern magnolia

Identifiers

PMID39502915
PMCPMC11534871

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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.