Evidence map›Paper›PMID 33743593›Full record

ArticleBMC plant biology2021

Moderately prolonged dry intervals between precipitation events promote production in Leymus chinensis in a semi-arid grassland of Northeast China.

Jinwei Zhang, Xiangjin Shen, Bifan Mu, Yujie Shi, Yuheng Yang, Xuefeng Wu, Chunsheng Mu, Junfeng Wang

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2021. 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
4.4field-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, 19 citations in OpenAlex.

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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 2 institutions in 1 country.

Jinwei Zhang *Key Laboratory of Vegetation Ecology, Ministry of Education, Institute of Grassland Science, School of Life Sciences, Northeast Normal University, Changchun, 130024, P.R. China.
Xiangjin Shen *Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, P.R. China.
Bifan MuSchool of Life Sciences, Northeast Normal University, Changchun, 130024, P.R. China.
Yujie ShiKey Laboratory of Vegetation Ecology, Ministry of Education, Institute of Grassland Science, School of Life Sciences, Northeast Normal University, Changchun, 130024, P.R. China.
Yuheng YangKey Laboratory of Vegetation Ecology, Ministry of Education, Institute of Grassland Science, School of Life Sciences, Northeast Normal University, Changchun, 130024, P.R. China.
Xuefeng WuKey Laboratory of Vegetation Ecology, Ministry of Education, Institute of Grassland Science, School of Life Sciences, Northeast Normal University, Changchun, 130024, P.R. China.
Chunsheng MuKey Laboratory of Vegetation Ecology, Ministry of Education, Institute of Grassland Science, School of Life Sciences, Northeast Normal University, Changchun, 130024, P.R. China. mucs821@nenu.edu.cn.
Junfeng WangKey Laboratory of Vegetation Ecology, Ministry of Education, Institute of Grassland Science, School of Life Sciences, Northeast Normal University, Changchun, 130024, P.R. China. wangjf150@nenu.edu.cn.ORCID http://orcid.org/0000-0001-9422-9938
Northeast Normal University · CNChinese Academy of Sciences · CN

Funding

Fundamental Research Funds for the Central Universities 2412020QD022National Basic Research Program of China (973 Program) 2016YFC0500705National Natural Science Foundation of China 31971505; 41971065Natural Science Foundation of Jilin Province YDZJ202101ZYTS081Youth Innovation Promotion Association, Chinese Academy of Sciences 2019235
6 · The paper itself

Abstract

backgroundClimate change is predicted to lead to changes in the amount and distribution of precipitation during the growing seasonal. This "repackaging" of rainfall could be particularly important for grassland productivity. Here, we designed a two-factor full factorial experiment (three levels of precipitation amount and six levels of dry intervals) to investigate the effect of precipitation patterns on biomass production in Leymus chinensis (Trin.) Tzvel. (a dominant species in the Eastern Eurasian Steppe).

resultsOur results showed that increased amounts of rainfall with prolonged dry intervals promoted biomass production in L. chinensis by increasing soil moisture, except for the longest dry interval (21 days). However, prolonged dry intervals with increased amount of precipitation per event decreased the available soil nitrogen content, especially the soil NO

conclusionOur study suggests that prolonged dry intervals between rainfall combined with large precipitation events will dramatically change grassland productivity in the future. For certain combinations of prolonged dry intervals and increased amounts of intervening rainfall, semi-arid grassland productivity may improve. However, this rainfall pattern may accelerate the loss of available soil nitrogen. Under extremely prolonged dry intervals, the periods between precipitation events exceeded the soil moisture recharge interval, the available soil moisture became fully depleted, and plant growth ceased. This implies that changes in the seasonal distribution of rainfall due to climate change could have a major impact on grassland productivity.

Indexed as

GrasslandRainBiomassChinaClimate ChangePoaceaeClimate changeDrought stressGrassland productivityRainfall patternsSoil nitrogen

Identifiers

PMID33743593
PMCPMC7981859
OpenAlexW3135919011

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.