Evidence map›Paper›PMID 32953076›Full record

ArticleEcology and evolution2020

Energy-water and seasonal variations in climate underlie the spatial distribution patterns of gymnosperm species richness in China.

Bikram Pandey, Janak R Khatiwada, Lin Zhang, Kaiwen Pan, Mohammed A Dakhil, Qinli Xiong, Ram Kailash P Yadav, Mohan Siwakoti, Akash Tariq, Olusanya Abiodun Olatunji and 5 more

Abstract read
In one paragraph

Article in Ecology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. FromHeliyon · 2025
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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

15 authors.

Bikram PandeyCAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province Chengdu Institute of Biology Chinese Academy of Sciences Chengdu China.ORCID https://orcid.org/0000-0003-2592-1466
Janak R KhatiwadaDepartment of Herpetology Chengdu Institute of Biology Chengdu China.ORCID https://orcid.org/0000-0003-1507-2288
Lin ZhangCAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province Chengdu Institute of Biology Chinese Academy of Sciences Chengdu China.
Kaiwen PanCAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province Chengdu Institute of Biology Chinese Academy of Sciences Chengdu China.
Mohammed A DakhilBotany and Microbiology Department Faculty of Science Helwan University Cairo Egypt.ORCID https://orcid.org/0000-0002-5140-1360
Qinli XiongCAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province Chengdu Institute of Biology Chinese Academy of Sciences Chengdu China.ORCID https://orcid.org/0000-0003-3827-3437
Ram Kailash P YadavCentral Department of Botany Tribhuvan University Kathmandu Nepal.
Mohan SiwakotiCentral Department of Botany Tribhuvan University Kathmandu Nepal.
Akash TariqUniversity of Chinese Academy of Sciences Beijing China.ORCID https://orcid.org/0000-0002-5382-9336
Olusanya Abiodun OlatunjiCollege of Geographical Science Fujian Normal University Fuzhou China.ORCID https://orcid.org/0000-0002-4334-9021
Meta Francis JustineCAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province Chengdu Institute of Biology Chinese Academy of Sciences Chengdu China.ORCID https://orcid.org/0000-0001-7895-4961
Xiaogang WuCAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province Chengdu Institute of Biology Chinese Academy of Sciences Chengdu China.
Xiaoming SunCAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province Chengdu Institute of Biology Chinese Academy of Sciences Chengdu China.
Ziyan LiaoCAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province Chengdu Institute of Biology Chinese Academy of Sciences Chengdu China.ORCID https://orcid.org/0000-0001-9354-2009
Zebene Tadesse NegesseCAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province Chengdu Institute of Biology Chinese Academy of Sciences Chengdu China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studying the pattern of species richness is crucial in understanding the diversity and distribution of organisms in the earth. Climate and human influences are the major driving factors that directly influence the large-scale distributions of plant species, including gymnosperms. Understanding how gymnosperms respond to climate, topography, and human-induced changes is useful in predicting the impacts of global change. Here, we attempt to evaluate how climatic and human-induced processes could affect the spatial richness patterns of gymnosperms in China. Initially, we divided a map of the country into grid cells of 50 × 50 km

Indexed as

endemicenvironmental gradientsgymnosperm richnesshuman‐induced effectsnegative binomial regressionvariation partitioning

Identifiers

PMID32953076
PMCPMC7487259

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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.