• ISSN 1008-505X
  • CN 11-3996/S

氮磷配施对粮食作物产量的交互效应及其驱动因素——基于Meta分析

Interactive effects of nitrogen and phosphorus fertilization on grain crop yields in china and their driving factors: A meta-analysis

  • 摘要:
    目的 氮和磷是植物生长必需的营养元素,在农业生产中发挥着重要的作用。我国农田普遍存在氮磷养分失衡问题,单施氮肥或磷肥的增产效果有限,氮磷肥配施能够显著增加作物产量,但其交互效应受施肥管理、土壤性质和气候条件等因素影响。以往研究多局限于特定区域或条件,缺乏对全国尺度氮磷交互效应差异性的综合定量认识。因此,量化全国尺度氮磷肥配施在作物产量的交互效应,明确不同气候、土壤和氮磷肥投入量下交互效应的差异特征,可为我国氮磷肥的高效利用提供理论依据和指导。
    方法 基于搜集的158篇公开发表文献,构建了225组包含不施肥(CK)、单施氮肥(N)、单施磷肥(P)、氮磷肥配施(NP)处理的数据库,采用整合分析和随机森林模型方法,定量评估氮磷肥配施处理下氮、磷对产量的主效应及交互效应,探究不同气候、土壤及氮磷肥施用量下氮磷交互效应的差异及主控因素。
    结果 在全国尺度上,氮磷肥配施较单施氮肥和单施磷肥分别显著增产17.0%和39.7%。区域尺度上,华北地区氮磷肥配施的增产效应最高,东北和西北地区相对较低。随着氮肥施用量增加,氮磷交互效应显著降低,其协同效应向加成效应和拮抗效应转变。氮磷肥配施在氮磷养分贫乏土壤上更易发生协同效应,主要受土壤pH和速效磷含量调控。氮磷肥的交互效应在年均温12~16℃且年降水量600~1200 mm的区域最高,年均温为主要驱动因子。此外,作物类型显著影响氮磷互作效应,水稻中交互效应最高,玉米最低,但小麦的协同效应在三种交互效应类型中占比最高。
    结论 氮磷配施可显著提高我国主要粮食作物产量,且具有明显区域差异。其交互效应以协同作用为主,尤其在低氮条件(N ≤ 150 kg/hm2)下。不同作物对氮磷交互的响应存在差异,其中对水稻增产作用最显著,玉米相对较弱。本研究通过随机森林模型解析驱动因素,明确年均温是核心气候驱动因子,而土壤pH和速效磷是主要土壤调控因子。氮磷交互效应受土壤和气候的综合调控,在中温中雨的温带大陆性气候区及氮磷养分缺乏的土壤中更易表现出显著协同作用。

     

    Abstract:
    Objective Nitrogen (N) and phosphorus (P) are essential nutrients for plant growth and play vital roles in modern agricultural production. however, imbalanced of nitrogen (N) and phosphorus (P) nutrients is common in farmland across China. The application of N or P fertilizer alone (the N or P treatment) has limited effects on crop yield, whereas combined N and P application(NP) can markedly increase yield. The magnitude of this interaction depends on fertilization practices, soil properties, and climatic conditions. Previous studies have largely been carried out in a specific region or condition, lacking a comprehensive quantitative assessment of N-P interaction effects at the national scale. Therefore, quantifying the interaction effects of the NP application on crop yield at the national scale, and clarifying how these effects vary with climate, soil, and fertilizer inputs, can provide both a theoretical foundation and practical guidance for the efficient use of N and P fertilizers in China.
    Methods A total of 225 group paired observations were compiled from 158 published studies, including four treatments: no fertilization (CK), N alone(N), P alone(P), and combined N and P application(NP). The main and interaction effects of N and P on crop yield under NP treatment were quantified by meta-analysis and random forest model.
    Result Compared with the N or P alone treatment, the NP application treatment significantly increased crop yield by 17.0% and 39.7%, respectively. At regional scale, the yield-increasing effect of the NP treatment was highest in North China, and relatively lower in Northeast and Northwest China. With increasing N fertilizer input, the N-P interaction effect decreased significantly, with synergistic effects gradually shifting toward additive or even antagonistic effects. Synergistic effects were more likely to occur in soils lacking N and P nutrients, and were primarily regulated by soil pH and available phosphorus. The N-P interaction effect was highest in regions with annual average temperature of 12–16℃ and annual precipitation of 600–1200 mm, with mean annual temperature (MAT) identified as the main driving factor. In addition, crop type significantly affected the interaction between nitrogen and phosphorus, and the interaction effect was the highest in rice and the lowest in maize, but the synergistic effect of wheat was the highest among the three interaction types.
    Conclusion In general, NP application significantly improves crop yield in China, with pronounced regional variability. The N-P interaction is predominantly synergistic, especially under low nitrogen input conditions (N≤150 kg/hm2). Crop-specific responses indicate that rice benefits most from N–P interactions, whereas maize shows relatively weaker responses. Random forest model analysis further clarified that annual average temperature is the core climatic driving factor, while soil pH and available phosphorus are the main soil regulatory factors. These interactions are comprehensively regulated by soil properties and climatic conditions and are more likely to show significant synergistic effects in temperate continental climate zones with moderate temperature and precipitation and in nutrient-deficient soils.

     

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