Evidence map›Paper›PMID 40218726›Full record

ArticleSensors (Basel, Switzerland)2025

Water Use Efficiency Spatiotemporal Change and Its Driving Analysis on the Mongolian Plateau.

Gesi Tang, Yulong Bao, Changqing Sun, Mei Yong, Byambakhuu Gantumur, Rentsenduger Boldbayar, Yuhai Bao

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

7 authors.

Gesi TangCollege of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China.
Yulong BaoCollege of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China.
Changqing SunCollege of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China.
Mei YongCollege of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China.ORCID 0000-0002-2280-2640
Byambakhuu GantumurDepartment of Geography, School of Arts and Sciences, National University of Mongolia, Ulaanbaatar 14200, Mongolia.ORCID 0000-0002-0597-132X
Rentsenduger BoldbayarDivision of GIS and Remote Sensing, Institute of Geography and Geoecology, Mongolian Academy of Sciences, Ulaanbaatar 15170, Mongolia.
Yuhai BaoCollege of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China.

Funding

the Inner Mongolia Autonomous Region Key Research and Achievement Transformation Program 2022YFSH0070the Inner Mongolia Autonomous Region Philosophy and Social Sciences Planning Project 2022NDA225the Major Science and Technology Program of Inner Mongolia Autonomous Region 2021ZD004503the National Natural Science Foundation of China Regional Project 42467065
6 · The paper itself

Abstract

Water use efficiency (WUE) connects two key processes in terrestrial ecosystems: the carbon and water cycles. Thus, it is important to evaluate temporal and spatial changes in WUE over a prolonged period. The spatiotemporal variation characteristics of the WUE in the Mongolian Plateau from 1982 to 2018 were analyzed based on the net primary productivity (NPP), evapotranspiration (ET), temperature, precipitation, and soil moisture. In this study, we used remote sensing data and various statistical methods to evaluate the spatiotemporal patterns of water use efficiency and their potential influencing factors on the Mongolian Plateau from 1982 to 2018. In total, 27.02% of the region witnessed a significant decline in the annual WUE over the 37 years. Two abnormal surges in the WUE

Indexed as

evapotranspirationMongolian Plateauremote sensingvegetation phenologywater use efficiency

Identifiers

PMID40218726
PMCPMC11991396

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.