Evidence map›Paper›PMID 36714727›Full record

ArticleFrontiers in plant science2022

Modeling of the potential geographical distribution of naked oat under climate change.

Mingxing Qin, Xinyue Gao, Meichen Feng, Ning Jin, Chao Wang, Wenjuan Cheng

Abstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

6 authors.

Mingxing QinCollege of Resources and Environment, Shanxi Agricultural University, Taigu, Shanxi, China.
Xinyue GaoCollege of Plant Protection, Shanxi Agricultural University, Taigu, Shanxi, China.
Meichen FengState Key Laboratory of Sustainable Dryland Agriculture (in preparation), Shanxi Agricultural University, Taiyuan, Shanxi, China.
Ning JinDepartment of Resources and Environmental Engineering, Shanxi Institute of Energy, Jinzhong, Shanxi, China.
Chao WangCollege of Agronomy, Shanxi Agricultural University, Taigu, Shanxi, China.
Wenjuan ChengTianjin Academy of Agricultural Sciences, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Naked oat ( Methods: In this study, the potential distribution range of naked oat in North China was forecast based on historical distribution data and the Maxent model under climate change conditions. The performance of the model was relatively high. Results: The results indicated that the most suitable area for the potential geographic distribution of naked oat in North China was 27.89×104 km Discussion: In this study, the Maxent model was used to analyze and predict suitable areas for naked oat in North China, and the distribution of suitable areas was accurately divided, and the main climatic factors affecting the distribution of naked oat were identified. This research provides data support and theoretical support for the optimal planting zone of naked oat in North China.

Indexed as

climate changedistributionMaxentnaked oatNorth China

Identifiers

PMID36714727
PMCPMC9878186

What OpenQuestion holds

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LicenceCC BY
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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.