Pulse Brain · Growing Health Evidence Index
Tier 1 — Meta-analysis / systematic reviewPeer-reviewed

Crop-specific ammonia volatilization rates and key influencing factors in the upland of China - A data synthesis

Zhipeng Sha, Xin Ma, Hejing Liu, Jingxia Wang, Tiantian Lv, K. W. T. Goulding, Xuejun Liu

Journal of Environmental Management · 2023

Read source ↗ All evidence

Summary

This data synthesis characterises ammonia volatilisation losses across different upland crop types in China and provides crop-specific volatilisation coefficients derived from empirical field studies. By quantifying how soil pH, temperature, and fertiliser application method affect ammonia emissions, the authors contribute to understanding nitrogen cycling in upland agroecosystems. The findings may inform nitrogen management strategies designed to reduce atmospheric nitrogen losses and improve nutrient use efficiency.

UK applicability

Whilst the synthesis is geographically specific to upland China, the crop-agnostic relationships between soil pH, temperature, and ammonia volatilisation may have partial relevance to UK arable and upland systems. However, direct application would require validation against UK soil and climatic conditions, and crop-specific coefficients derived from Chinese uplands may not transfer directly to UK farming systems.

Key measures

Crop-specific ammonia volatilisation coefficients; volatilisation rates as influenced by soil pH, temperature, and fertiliser application method

Outcomes reported

The study synthesised empirical field data to characterise ammonia volatilisation losses across different upland crop types in China and quantified crop-specific volatilisation coefficients. It identified principal environmental and agronomic factors—including soil pH, temperature, and fertiliser application method—that influence ammonia emissions from these agroecosystems.

Theme
Farming systems, soils & land use
Subject
Soil fertility & nutrient management
Study type
Meta-analysis
Study design
Data synthesis / Meta-analysis
Source type
Peer-reviewed study
Status
Published
Geography
China
System type
Arable cereals
DOI
10.1016/j.jenvman.2023.117676
Catalogue ID
SNmoht1tja-oa830t

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.