Spatial divergence of nitrogen fate in China's wheat systems: a meta-analysis and machine-learning roadmap for region-specific management

Optimizing crop productivity while mitigating pollution requires a system-wide understanding of nitrogen (N) fertilizer fate and its loss pathways. However, regional variability in N fate and its linkage to yield response in China’s wheat systems remains poorly quantified. We collected 4077 observations to analyze the effects of N fertilizer management, climate, and soil properties on wheat yield, N fate, and reactive nitrogen (Nr) losses using meta-analysis and machine learning. At the national scale, wheat yield increased by 65.40% with N fertilization, with applied N partitioned into 41.56% uptake, 29.66% residual, and 38.81% losses. The Nr losses comprised NH 3 (9.35%), N 2 O (0.73%), NO (0.38%), leaching (7.38%), and runoff (4.68%). At the regional scale, N uptake exhibited an increasing trend from north to south, whereas N residual and N loss gradually decreased. NH 3 volatilization accounted for 91.76% of total N loss in northern China (NC). In central China (CC), NH 3 constituted 53.45% of the losses, with N leaching accounting for 41.38%. By contrast, southern China (SC) showed a more even distribution of losses across pathways. N application rate was the key determinant of N fate, whereas pH, mean annual precipitation, mean annual temperature, and bulk density had the greatest influence on Nr losses. Nationally, N uptake was the dominant driver of yield response, accounting for 54.06% of the variation. Regionally, uptake remained the key factor in CC (37.83%), whereas NC (27.33% uptake; 16.09% loss) and SC (15.20% uptake; 12.37% loss) showed substantial sensitivity to N loss. N residual had minimal impact in most regions but was significant in CC (11.66%). Enhancing nitrogen uptake is the top priority in increasing wheat yield across different regions of China, while the role of fertilizer N loss and residual regionally varied. Accordingly, N management should prioritize loss reduction in NC and SC, and residual management in CC. • Applied N partitions as 41.56% plant uptake, 29.66% soil residual, and 38.81% environmental loss in China’s wheat systems. • N uptake increases from north to south, while soil residual and environmental loss progressively decrease along this gradient. • Northern China loss dominates as NH 3 , Central features NH 3 and N leaching, and Southern shows balanced loss. • N rate governs overall fate, while regional climate and soil properties control specific loss pathways. • Regional nitrogen efficiency disparities directly affect yield stability, forming the basis for tailored management.

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Publication Details

Journal
Resources Environment and Sustainability
Published
2025-09-23
DOI
https://doi.org/10.1016/j.resenv.2025.100270
Citations
1
Primary Topic
Crop Yield and Soil Fertility
Type
article
Field-Weighted Citation Impact
1.90
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article

Spatial divergence of nitrogen fate in China's wheat systems: a meta-analysis and machine-learning roadmap for region-specific management

Liang Yuan, Shuiqin Zhang, Bingqiang Zhao, Jiukai Xu et al.
1 citations
Resources Environment and Sustainability
Crop Yield and Soil Fertility
1.90
article

Spatial divergence of nitrogen fate in China's wheat systems: a meta-analysis and machine-learning roadmap for region-specific management

Liang Yuan, Shuiqin Zhang, Bingqiang Zhao, Jiukai Xu, Yanting Li, Yingqiang Zhang, Yan’ge Yan, Meng Xu
article en
1 citations

Abstract

Optimizing crop productivity while mitigating pollution requires a system-wide understanding of nitrogen (N) fertilizer fate and its loss pathways. However, regional variability in N fate and its linkage to yield response in China’s wheat systems remains poorly quantified. We collected 4077 observations to analyze the effects of N fertilizer management, climate, and soil properties on wheat yield, N fate, and reactive nitrogen (Nr) losses using meta-analysis and machine learning. At the national scale, wheat yield increased by 65.40% with N fertilization, with applied N partitioned into 41.56% uptake, 29.66% residual, and 38.81% losses. The Nr losses comprised NH 3 (9.35%), N 2 O (0.73%), NO (0.38%), leaching (7.38%), and runoff (4.68%). At the regional scale, N uptake exhibited an increasing trend from north to south, whereas N residual and N loss gradually decreased. NH 3 volatilization accounted for 91.76% of total N loss in northern China (NC). In central China (CC), NH 3 constituted 53.45% of the losses, with N leaching accounting for 41.38%. By contrast, southern China (SC) showed a more even distribution of losses across pathways. N application rate was the key determinant of N fate, whereas pH, mean annual precipitation, mean annual temperature, and bulk density had the greatest influence on Nr losses. Nationally, N uptake was the dominant driver of yield response, accounting for 54.06% of the variation. Regionally, uptake remained the key factor in CC (37.83%), whereas NC (27.33% uptake; 16.09% loss) and SC (15.20% uptake; 12.37% loss) showed substantial sensitivity to N loss. N residual had minimal impact in most regions but was significant in CC (11.66%). Enhancing nitrogen uptake is the top priority in increasing wheat yield across different regions of China, while the role of fertilizer N loss and residual regionally varied. Accordingly, N management should prioritize loss reduction in NC and SC, and residual management in CC. • Applied N partitions as 41.56% plant uptake, 29.66% soil residual, and 38.81% environmental loss in China’s wheat systems. • N uptake increases from north to south, while soil residual and environmental loss progressively decrease along this gradient. • Northern China loss dominates as NH 3 , Central features NH 3 and N leaching, and Southern shows balanced loss. • N rate governs overall fate, while regional climate and soil properties control specific loss pathways. • Regional nitrogen efficiency disparities directly affect yield stability, forming the basis for tailored management.

Resources Environment and SustainabilityVol. 22
Institute of Agricultural Resources and Regional Planning (CN), Chinese Academy of Agricultural Sciences (CN), Ministry of Agriculture and Rural Affairs (CN)
Openalex Percentile: Top 12%
Crop Yield and Soil Fertility
1.90
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