Evidence map›Paper›PMID 42040281›Full record

ArticleFrontiers in plant science2026

Soil evaporation and plant water use strategy of riparian forests in extremely arid deserts, northwestern China: a stable isotope perspective.

Qi Zhang, Qi Feng, Yonghong Su, Wei Liu, Meng Zhu, Yuanyuan Xue

Abstract read
In one paragraph

Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Qi ZhangKey Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China.
Qi FengKey Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China.
Yonghong SuKey Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China.
Wei LiuKey Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China.
Meng ZhuKey Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China.
Yuanyuan XueKey Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In extreme arid regions, Methods: This study investigated water movement in Results: Soil evaporation exhibited consistent patterns across all stands, being most pronounced in the shallow layer (0-40 cm) and declining exponentially with depth, while the deep soil layer (>200 cm) was primarily recharged by groundwater. Although vegetation type introduced some variability in evaporation rates, these differences did not reach statistical significance. Both species primarily extracted water from the 100-300 cm soil layer and groundwater, with Discussion: To maintain the structure of desert riparian forests, ecological water conveyance must be carefully managed to sustain groundwater levels within a suitable range for vegetation. Such management would help prevent

Indexed as

evaporation lossextremely arid desertsriparian forestsstable isotopeswateruse strategy

Identifiers

PMID42040281
PMCPMC13106495

What OpenQuestion holds

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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.