Evidence map›Paper›PMID 40313377›Full record

SynthesisPeerJ2025

Response of soil pH to biochar application in farmland across China: a meta-analysis.

Jia Yao, Xueren Wang, Mei Hong, Hui Gao, Shixiang Zhao

Abstract readMeta-Analysis
In one paragraph

Synthesis in PeerJ, 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

5 authors.

Jia YaoKey Laboratory of Agricultural Ecological Security and Green Development at Universities of Inner Mongolia Autonomous Region, Hohhot, China.
Xueren WangKey Laboratory of Agricultural Ecological Security and Green Development at Universities of Inner Mongolia Autonomous Region, Hohhot, China.
Mei HongCollege of Grassland, Inner Mongolia Minzu University, Tongliao, China.
Hui GaoKey Laboratory of Agricultural Ecological Security and Green Development at Universities of Inner Mongolia Autonomous Region, Hohhot, China.
Shixiang ZhaoKey Laboratory of Agricultural Ecological Security and Green Development at Universities of Inner Mongolia Autonomous Region, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Biochar, an alkaline material derived from agricultural and forestry waste, can ameliorate soil quality by adjusting soil pH. However, various types of biochar have distinct effects on soil pH due to diversity in feedstock type, pyrolysis temperature, and application rate. Method: Therefore, a meta-analysis was conducted with 598 paired comparisons obtained from 104 published studies (January 2010-July 2022) to comprehensively depict the response of soil pH to biochar in farmland systems across China. Result: The results showed that adding biochar significantly increased the acid soils' pH. Still, its effects on neutral and alkaline soils varied depending on the biochar's pH and the soil's initial pH. The pH of acid and neutral soils was raised by 5-10% straw biochar (600-800 °C and 400-600 °C, respectively). In alkaline soils, 5-10% other biochar (200-400 °C) raised pH, while 1-5% straw biochar (200-400 °C) reduced it. The findings underscore the importance of biochar pH and initial soil pH in the divergent consequences of biochar application in farmland systems, and both factors should be considered to choose the optimal biochar type for acid, neutral, and alkaline soils.

Indexed as

AgricultureCharcoalFarmsSoilChinaHydrogen-Ion ConcentrationbiocharCharcoalSoilApplication rateBiocharFeedstockPyrolysis temperatureSoil pH

Identifiers

PMID40313377
PMCPMC12045268

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.