Global patterns and drivers of phosphorus fraction variability in cropland soils

文献类型： 外文期刊

第一作者： Gong, Haiqing

作者： Gong, Haiqing;Chen, Chen;Xiang, Yue;Jin, Mengcan;Chen, Chen;Chen, Chen

作者机构：

关键词： Soil P fractions; P fraction transformation; Machine learning model; Cropland; meta-analysis

期刊名称：RESOURCES CONSERVATION AND RECYCLING （ 影响因子：10.9； 五年影响因子：12.7 ）

ISSN： 0921-3449

年卷期： 2025 年 223 卷

页码：

收录情况： SCI

摘要： Understanding soil phosphorus fraction transformation efficiency (PTE) is critical for optimizing fertilizer use and promoting sustainable agriculture. However, the global variability in soil phosphorus (P) fraction responses to P inputs remains poorly understood, partly due to challenges in capturing spatial and environmental heterogeneity. Here, we integrated 454 global field observations with high-resolution climate and soil data using meta-analysis and machine learning to assess global variability in PTE and identify its key environmental drivers. Global mapping revealed PTEs of 1.12, 1.45, and 1.85 mg of P accumulated in the labile, moderately labile, and non-labile soil pools per kg of P input per hectare, respectively. Key drivers of PTE included soil total P, total nitrogen, mean annual temperature, and bulk density, with chemical properties exerting the strongest influence. Our high-resolution spatial analysis of PTE establishes a quantitative framework for site-specific P management, particularly identifying regions with contrasting climatic and edaphic conditions. The mechanistic understanding of P fraction transformation patterns provides actionable insights for improving P-use efficiency while maintaining agricultural productivity, prioritizing intervention strategies across global croplands.

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