Evidence map›Paper›PMID 41029489›Full record

ArticleBMC plant biology2025

Distribution and cultivation area dynamics of Aralia Elata (Miq.) Seem. In the upper reaches of the Dadu-Minjiang river under climate change.

Yi Huang, Guanghua Zhao, Yang Yang, Jian Yang, Jia Ba Wu Zhi

Abstract read
In one paragraph

Article in BMC plant biology, 2025. 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.

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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

5 authors.

Yi Huang *Sichuan Provincial Forest and Grassland key laboratory of Alpine Grassland Conservation and Utilization of Tibetan Plateau, College of Grassland Resources, Southwest Minzu University, Chengdu, 610041, China.
Guanghua Zhao *School of Life Sciences, South China Normal University, Guangzhou, 510631, China.
Yang YangSichuan Provincial Forest and Grassland key laboratory of Alpine Grassland Conservation and Utilization of Tibetan Plateau, College of Grassland Resources, Southwest Minzu University, Chengdu, 610041, China.
Jian YangSichuan Provincial Forest and Grassland key laboratory of Alpine Grassland Conservation and Utilization of Tibetan Plateau, College of Grassland Resources, Southwest Minzu University, Chengdu, 610041, China. Yjian@swun.edu.cn.
Jia Ba Wu ZhiEcological Security and Protection Key Laboratory of Sichuan Province, Mianyang Normal University, Mianyang, 621000, Sichuan, China.

Funding

Project of Grassland Multifunctionality Evaluation in Three-River-Source National Park QHQXD-2023-28Southwest Minzu University Research Startup Funds RQD2022046
6 · The paper itself

Abstract

Aralia elata (Miq.) Seem. (A. elata), a deciduous shrub in the Araliaceae family, is a prized wild edible vegetable among residents in the upper reaches of the Dadu-Minjiang River. Its tender shoots are valued for their unique flavor and rich nutrition, serving not only as an edible plant but also as an economic crop with medicinal properties. This study utilized an ensemble model to simulate the potential distribution of A. elata in this region, predicting the impacts of future climate change on its distribution, and ecological niche. Additionally, a cultivation productivity evaluation model integrating ecological suitability and nutritional components was developed to delineate potential cultivation areas. Results showed that high-suitability habitats of A. elata span 0.64 × 104km², primarily in block-shaped distributions in Tianquan and Baoxing Counties, with fragmented patchy and linear distributions at the junctions of Maoxian-Songpan and Maoxian-Heishui Counties, as well as within Songpan County. First-level cultivation areas, covering 0.33 × 104km², are mainly located in eastern Tianquan and southern Baoxing Counties. Under future climate scenarios, the areas of potential suitable habitats and cultivation zones for A. elata will gradually expand with increasing temperatures, migrating toward higher-altitude regions, accompanied by enhanced niche migration. Extreme emission scenarios significantly improve core habitat quality, as indicated by these trends. Collectively, these findings provide a theoretical basis for the sustainable utilization of A. elata in the upper Dadu-Minjiang River region.

Indexed as

AraliaClimate ChangeChinaEcosystemRiversAralia Elata (Miq.) Seem.Biomod2Climate changeDadu-Minjiang riverPotential distribution and cultivation areas

Identifiers

PMID41029489
PMCPMC12487493

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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.