Evidence map›Paper›PMID 36743557›Full record

ArticleFrontiers in plant science2022

Patterns and drivers of the belowground bud bank in alpine grasslands on the Qinghai-Tibet Plateau.

Wencheng Li, Aiping Huang, Tiancai Zhou, Miao Liu, Sujie Ma, Ningning Zhao, Xiangtao Wang, Jian Sun

Open access · goldAbstract 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.9field-weighted citation impact, top 7% of its field
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

6 citing papers in PubMed, 11 citations in OpenAlex.

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  5. Growth Characteristics of Ramet System inPlants (Basel, Switzerland) · 2024
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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

8 authors at 5 institutions in 1 country.

Wencheng LiKey Laboratory of Alpine Vegetation Ecological Security, Tibet Agriculture and Animal Husbandry University, Nyingchi,  China.
Aiping HuangState Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing,  China.
Tiancai ZhouState Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing,  China.
Miao LiuCollege of Grassland Science and Technology, China Agricultural University, Beijing,  China.
Sujie MaQiangtang Alpine Grassland Ecosystem Research Station (jointly built with Lanzhou University), Tibet Agricultural and Animal Husbandry University, Nyingchi,  China.
Ningning ZhaoCollege of Resources and Environment, Tibet Agriculture and Animal Husbandry University, Nyingchi,  China.
Xiangtao WangQiangtang Alpine Grassland Ecosystem Research Station (jointly built with Lanzhou University), Tibet Agricultural and Animal Husbandry University, Nyingchi,  China.
Jian SunState Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing,  China.
China Agricultural University · CNChinese Academy of Sciences · CNTibet University · CNInstitute of Tibetan Plateau Research · CNLanzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In grassland ecosystems dominated by asexual plants, the maintenance, renewal, and resistance of plant populations to disturbance are more dependent on the belowground bud bank (BBB). However, the response of the BBB to environmental factors in the alpine grassland of the Qinghai-Tibet Plateau (QTP) is still unknown. Methods: Therefore, a transect survey was conducted to measure the size and scale of BBB and 21 factors in the alpine grassland of the QTP. In addition, the critical driving factors of BBB were screened by boost regression tree analysis, and a structural equation model (SEM) was employed to express the path coefficients of the key factors on the BBB size. Results: The results showed that BBB size had no significant geographical pattern in the QTP, and the BBB size was mainly accounted for by soil leucine aminopeptidase (LAP, 17.32%), followed by Margalef and Shannon -Wiener indices of plants (12.63% and 9.24%, respectively), and precipitation (9.23%). SEM further indicated significant positive effects of plant diversity (scored at 0.296) and precipitation (scored at 0.180) on BBB size, and a significant negative effect of LAP (scored at 0.280) on BBB size. Discussion: Generally, the findings allow for better understanding of the regulated mechanisms of BBB size and the importance of the role of bud bank in the restoration of the grassland ecosystem.

Indexed as

alpine grasslandsbud bankclonal plantsecological restorationQinghai-Tibet Plateauvegetation reproduction

Identifiers

PMID36743557
PMCPMC9893863
OpenAlexW4317107219

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.