Evidence map›Paper›PMID 42491654›Full record

ArticleiScience2026

Global-scale patterns of bioavailable soil phosphorus driven by agricultural fertilization.

Chongchong Qi, Yuxin Feng, Tao Hu, Ping Zhang, Chu Chu, Liyuan Chai

Abstract read
In one paragraph

Article in iScience, 2026. 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

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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

6 authors.

Chongchong QiSchool of Resources and Safety Engineering, Central South University, Changsha 410083, China.
Yuxin FengSchool of Resources and Safety Engineering, Central South University, Changsha 410083, China.
Tao HuSchool of Resources and Safety Engineering, Central South University, Changsha 410083, China.
Ping ZhangFaculty of Science and Technology, University of Macau, Macao, China.
Chu ChuDepartment of Civil and Environmental Engineering, National University of Singapore, Singapore, Singapore.
Liyuan ChaiSchool of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phosphorus is essential for plant metabolism and growth. Bioavailable phosphorus (resin-extractable phosphorus) is the soil phosphorus available for plant uptake. However, the global response of bioavailable phosphorus to fertilization remains unknown, hindering efficient nutrient management for crops. In this study, we developed a data-driven machine learning model to map global bioavailable phosphorus post-fertilization. The robust accuracy of the model was validated (coefficient of determination = 0.76), and phosphorus application and soil depth were identified as the primary drivers governing bioavailable phosphorus. Fertilization type was found to play a crucial role, with nitrogen fertilization decreasing global bioavailable phosphorus by -1.65 mg/kg (10%) and phosphorus fertilization increasing it to 6.20 mg/kg (37%). Nitrogen fertilization resulted in the greatest decline in bioavailable phosphorus in croplands (-2.52 mg/kg), and phosphorus fertilization led to the largest increase in wetlands (7.63 mg/kg). These findings provide critical insights into the global distribution and drivers of bioavailable phosphorus, offering a valuable tool for region-specific strategies and advancing sustainable agriculture.

Indexed as

bioavailable phosphorusfertilization effectsglobal distributionsustainable agriculture

Identifiers

PMID42491654
PMCPMC13378382

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LicenceCC BY-NC-ND
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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.