Evidence map›Paper›PMID 40805674›Full record

ArticlePlants (Basel, Switzerland)2025

Trade-Offs of Plant Biomass by Precipitation Regulation Across the Sanjiangyuan Region of Qinghai-Tibet Plateau.

Mingxue Xiang, Gang Fu, Junxi Wu, Yunqiao Ma, Tao Ma, Kai Zheng, Zhaoqi Wang, Xinquan Zhao

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mingxue XiangState Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810018, China.ORCID 0000-0002-9161-0423
Gang FuLhasa Plateau Ecosystem Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.ORCID 0000-0002-6055-8730
Junxi WuLhasa Plateau Ecosystem Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Yunqiao MaState Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810018, China.
Tao MaState Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810018, China.
Kai ZhengState Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810018, China.
Zhaoqi WangState Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810018, China.ORCID 0000-0003-0554-1845
Xinquan ZhaoState Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810018, China.ORCID 0000-0002-8151-4948

Funding

the Chief Scientist Program of Qinghai Province 2024-SF-102the National Natural Science Foundation of China 32160278
6 · The paper itself

Abstract

Climate change alters plant biomass allocation and aboveground-belowground trade-offs in grassland ecosystems, potentially affecting critical functions such as carbon sequestration. However, uncertainties persist regarding how precipitation gradients regulate (1) responses of aboveground biomass (AGB), belowground biomass (BGB), and total biomass in alpine grasslands, and (2) precipitation-mediated AGB-BGB allocation strategies. To address this, we conducted a large-scale field survey across precipitation gradients (400-700 mm/y) in the Sanjiangyuan alpine grasslands, Qinghai-Tibet Plateau. During the 2024 growing season, a total of 63 sites (including 189 plots and 945 quadrats) were sampled along five aridity classes: <400, 400-500, 500-600, 600-700, and >700 mm/y. Our findings revealed precipitation as the dominant driver of biomass dynamics: AGB exhibited equal growth rates relative to BGB within the 600-700 mm/y range, but accelerated under drier/wetter conditions. This suggests preferential allocation to aboveground parts under most precipitation regimes. Precipitation explained 31.71% of AGB-BGB trade-off variance (random forest IncMSE), surpassing contributions from AGB (17.61%), specific leaf area (SLA, 13.87%), and BGB (12.91%). Structural equation modeling confirmed precipitation's positive effects on SLA (β = 0.28,

Indexed as

alpine grasslandsbiomass trade-offprecipitationQinghai–Tibet PlateauSanjiangyuan

Identifiers

PMID40805674
PMCPMC12348858

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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.