Evidence map›Paper›PMID 42539843›Full record

ArticleFundamental research2026

High-resolution mapping of soil total phosphorus in China: Revealing spatiotemporal patterns and driving mechanisms.

Zhanpeng Liu, Qiu Tan, Xiaoyong Bai

Abstract read
In one paragraph

Article in Fundamental research, 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

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

3 authors.

Zhanpeng LiuCollege of Forestry/College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China.
Qiu TanSchool of Geography and Environmental Sciences, Guizhou Normal University, Guiyang 550025, China.
Xiaoyong BaiCollege of Forestry/College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil total phosphorus (STP) is a key component of the terrestrial phosphorus cycle, and its spatial distribution pattern profoundly influences ecological security and the stability of food production. This study integrates 20,372 nationwide plot monitoring records and, based on the Random Forest algorithm, constructs a 1 km resolution layered spatiotemporal map of STP across China for the period 2000-2020. The results show that China's STP exhibits an overall "central high, northern-southern low" spatial pattern, with South China identified as a contiguous low‑phosphorus region (<0.4 g/kg). Vertically, STP decreases by approximately 25.8% with increasing soil depth. The study further reveals regional differentiation characteristics of STP variation: the mid‑temperate zone serves as the core area of phosphorus accumulation, while the middle‑lower Yangtze River region and the Sichuan Basin are identified as hotspots of phosphorus loss. Solar radiation (SR) is the main positive driver of phosphorus enrichment in plateau regions (affecting 29.1% of the national area, ca. 2.65 × 10

Indexed as

ChinaDriving factorsRandom forestSoil total phosphorusSpatial differentiation

Identifiers

PMID42539843
PMCPMC13424719

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.