Evidence map›Paper›PMID 38068701›Full record

ArticlePlants (Basel, Switzerland)2023

Distribution Patterns of Gymnosperm Species along Elevations on the Qinghai-Tibet Plateau: Effects of Climatic Seasonality, Energy-Water, and Physical Tolerance Variables.

Muhammad Umair, Xiaofei Hu, Qi Cheng, Shahzad Ali, Jian Ni

Abstract read
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Article in Plants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Muhammad UmairCollege of Life Sciences, Zhejiang Normal University, Jinhua 321004, China.ORCID 0000-0003-2411-2499
Xiaofei HuCollege of Life Sciences, Zhejiang Normal University, Jinhua 321004, China.
Qi ChengCollege of Life Sciences, Zhejiang Normal University, Jinhua 321004, China.
Shahzad AliCollege of Life Sciences, Zhejiang Normal University, Jinhua 321004, China.
Jian NiCollege of Life Sciences, Zhejiang Normal University, Jinhua 321004, China.

Funding

The Second Tibetan Plateau Scientific Expedition and Research Program STEP, 2019QZKK0402
6 · The paper itself

Abstract

Climate change is one of the most prominent factors influencing the spatial distribution of plants in China, including gymnosperms. Climatic factors influence gymnosperm distribution along elevational gradients on the Qinghai-Xizang (Tibet) Plateau (QTP), and understanding how species adapt to these factors is important for identifying the impacts of global climate change. For the first time, we examined the county-level distribution of gymnosperm species on QTP using data from field surveys, published works, monographs, and internet sources. We used simulated distribution data of gymnosperms (N = 79) along the elevational gradients to investigate the overall impact of environmental variables in explaining the richness pattern of gymnosperms. Eighteen environmental variables were classified into three key variable sets (climatic seasonality, energy-water, and physical tolerance). We employed principal component analysis and generalized linear models to assess the impact of climatic variables on the gymnosperm's richness pattern. Gymnosperm species are unevenly distributed across the plateau and decline gradually from the southeast to the northwest. The altitudinal gradients have a unimodal relationship with the richness of gymnosperms, with the maximum species richness at an elevation of 3200 m. The joint effects of physical tolerance and energy-water predictors have explained the highest diversity of gymnosperms at mid-elevation. Because the richness peak correlates significantly with the wettest month's precipitation and moisture index, this confirms the significance of moisture on gymnosperm distributions due to increased precipitation during the wet season. Furthermore, our results provide evidence that climatic seasonality factors are involved in the decline of gymnosperm richness at high elevations. A total of 37% of gymnosperm species on QTP are listed as vulnerable, nearly threatened, or endangered, with elevations ranging from 600 m to 5300 m. As a result, we conclude that gymnosperms are at high risk of extinction because of the current climate fluctuations caused by global climate change. Our research offers fundamental data for the study and protection of gymnosperm species along the steepest elevation gradients.

Indexed as

climatic seasonalityconservationelevationenergy–watergymnospermsphysical tolerancespecies richness

Identifiers

PMID38068701
PMCPMC10708526

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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.