Evidence map›Paper›PMID 41318781›Full record

ArticleScientific reports2025

Integrated photovoltaic-agriculture systems enhance soil health in desert ecosystems: evidence from microbial biomass and nutrient synergies.

Mingjie Ma, Fan Yang, Xiannian Zheng, Xinghua Yang, Ali Mamtimin, Chenglong Zhou, Chaofan Li, Wen Huo, Xinqian Zheng, Tianhe Wang and 2 more

Abstract read
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In one paragraph

Article in Scientific reports, 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

12 authors.

Mingjie MaInstitute of Desert Meteorology, China Meteorological Administration/National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang/Taklimakan Desert Meteorology Field Experiment Station of China Meteorological Administration/Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi, 830002, China.
Fan YangInstitute of Desert Meteorology, China Meteorological Administration/National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang/Taklimakan Desert Meteorology Field Experiment Station of China Meteorological Administration/Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi, 830002, China. yangfan@idm.cn.
Xiannian ZhengXinjiang Climate Center, Urumqi, 830002, China.
Xinghua YangSchool of Geographical Sciences, Shanxi Normal University, Taiyuan, 030032, China.
Ali MamtiminInstitute of Desert Meteorology, China Meteorological Administration/National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang/Taklimakan Desert Meteorology Field Experiment Station of China Meteorological Administration/Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi, 830002, China.
Chenglong ZhouInstitute of Desert Meteorology, China Meteorological Administration/National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang/Taklimakan Desert Meteorology Field Experiment Station of China Meteorological Administration/Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi, 830002, China.
Chaofan LiNanjing University of Information Science and Technology, Nanjing, 211800, Jiangsu, China.
Wen HuoInstitute of Desert Meteorology, China Meteorological Administration/National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang/Taklimakan Desert Meteorology Field Experiment Station of China Meteorological Administration/Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi, 830002, China.
Xinqian ZhengXinjiang Agro-Meteorological Observatory, Urumqi, 830002, China.
Tianhe WangCollege of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China.
Peng HeCollege of Resources and Environment, Shanxi Agricultural University, Taigu, 030801, Shanxi, China.
Qing GongTazhong Meteorological Station, Qiemo, 841900, China.

Funding

The China Postdoctoral Science Foundation 2022MD723851the Intelligent Identification and Fine Forecasting Research on Cross-border Sand and Dust Weather Hazards in Mongolia U2242209the S&T Development Fund of CAMS 2021KJ034the "Tianshan Talent" Training Program-Science and Technology Innovation Team (Tianshan Innovation Team) Project 2022TSYCTD0007the Youth Innovation Team of China Meteorological Administration CMA2024QN13
6 · The paper itself

Abstract

This study systematically evaluated the effects of three typical desert restoration models in the Hobq Desert-the integrated photovoltaic-agriculture model (PV-Ag), the artificial shrub aerial seeding model (ASS), and the bare sand with photovoltaic panels model (BS-PV)-on soil physicochemical properties, microbial characteristics, and vegetation recovery. The results indicated that the PV-Ag model performed most prominently in improving soil structure, increasing nutrient content, and enhancing microbial activity. The fine particle content in the soil reached 92.9%, while organic matter and total nitrogen content increased by 388.9-544.4% and 476.7-551.8%, respectively, compared to those in shifting sand dune (LS). Under PV-Ag model, the total soil microbial count increased more than 10 times, and microbial biomass carbon and nitrogen rose by 10.8-13.9 times and 13.4-17.1 times, respectively. The shade provided by photovoltaic panels in the PV-Ag model effectively optimized the soil hydrothermal environment, with humidity (0.043 m

Indexed as

AgricultureDesert ClimateEcosystemSoilSoil MicrobiologyBiomassCarbonNitrogenNutrientsCarbonNitrogenNutrientsSoilDesertification controlHobq DesertPhotovoltaic-agriculture integrationSoil qualityVegetation restoration

Identifiers

PMID41318781
PMCPMC12775456

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LicenceCC BY-NC-ND
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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.