秸秆还田模式与种植密度对玉米叶片-土壤生态化学计量特征的影响及优化以宁夏引黄灌区为例

Effects of straw return patterns and planting densities to maine leaf and soil ecological stoichiometric characteristics and optimization: A case study in Ningxia Yellow River Irrigation Area

  • 摘要: 研究不同秸秆还田模式和玉米种植密度对不同生育时期玉米叶片和土壤生态化学计量特征的影响, 为宁夏引黄灌区秸秆还田技术的应用推广和土壤碳氮磷养分资源有效利用提供理论依据。采用两因素裂区试验设计, 主区为2种秸秆还田模式: H0 (秸秆不还田)和H1 (秸秆全量粉碎深翻还田); 副区为3种种植密度D1 (67 500株·hm−2)、D2 (82 500株·hm−2)和D3 (97 500株·hm−2)。测定不同处理玉米叶片和土壤碳、氮、磷含量, 计算化学计量比和内稳性指数, 并分析了土壤环境因子对玉米叶片化学计量的影响因素。结果表明: 与H0相比, H1模式显著提高了叶片有机碳、碳磷比(LeafC:P)和土壤有机碳。与D2、D3相比, 土壤有机碳、土壤全氮和叶片有机碳在D1密度下分别显著提高10.26%~20.37%、9.14%~17.49%和7.83%~18.25%。其中, 与H0D3相比, HID1分别显著提高叶片有机碳21.27%、LeafC:P 14.06%和土壤有机碳25.83%。内稳性指数显示, H1模式下的叶片碳、氮、磷内稳性均高于H0, 与D2、D3相比, 低密度(D1)处理下叶片碳的内稳性最高。叶片碳、氮、磷的内稳性表现为HC>HN>HP, 说明植物对碳元素的调控能力更强。相关分析表明, 叶片有机碳与土壤有机碳、叶片全磷与土壤全磷均呈极显著正相关, LeafC:N与SoilC:N呈显著正相关。冗余分析表明, 土壤碱解氮是影响玉米叶片化学计量的主要因素。隶属函数综合得分表明, HID1处理对玉米叶片和土壤生态化学计量内稳性的调节作用最好。在宁夏引黄灌区秸秆全量粉碎深翻还田模式下, 玉米种植密度为67 500株·hm−2时, 有利于提高玉米叶片和土壤中的碳氮磷含量, 优化生态化学计量比, 土壤养分资源得到有效利用。本研究首次系统揭示宁夏引黄灌区秸秆还田与种植密度的协同效应。

     

    Abstract: The effects and interactions of different straw return modes and planting densities on maize leaf–soil ecological stoichiometric characteristics during different fertility periods were studied to provide a theoretical basis for the application and promotion of straw return as a field technology for effective soil carbon, nitrogen, and phosphorus resource utilization as nutrients in the Ningxia Yellow River Irrigation Area. Using a two-factor spilt-plot experimental design, the primary plot comprised two straw return modes: H0 (no straw return) and H1 (complete straw crushing and deep plowing return). The subplot comprised three planting densities in the following order: D1 (67 500 plants·hm−2), D2 (82 500 plants·hm−2), and D3 (97 500 plants·hm−2). The carbon, nitrogen, and phosphorus contents in the maize leaves and soil were measured under different treatments. The stoichiometric ratios and internal stability indices were calculated, and the influence of soil environmental factors on maize-leaf stoichiometry was analyzed. The results showed that compared with the H0 mode, the H1 mode significantly increased leaf organic carbon, leaf carbon∶phosphorus, and soil organic carbon. Compared with the D2 and D3 densities, soil organic carbon, total nitrogen, and leaf carbon significantly increased by 10.26%−20.37%, 9.14%−17.49% and 7.83%−18.25% at D1 density, respectively. Compared with H0D3, HID1 significantly increased leaf organic carbon, leaf carbon:phosphorus, and soil organic carbon by 21.27%, 14.06%, and 25.83%, respectively. The internal stability indices showed that the leaf carbon, nitrogen, and phosphorus internal stability was higher in the H1 (complete straw crushing and deep plowing return) mode than in the H0 (no straw return) mode, whereas the highest leaf carbon internal stability was observed in the low density (D1) treatment compared with those in the medium- and high-density treatments. The internal stability of leaf carbon, nitrogen, and phosphorus followed the order HC>HN>HP, indicating that the plants had greater carbon regulation capability. Correlation analysis showed that leaf carbon was highly significantly and positively correlated with soil carbon, and leaf phosphorus was significantly positively correlated with soil phosphorus. Leaf carbon∶nitrogen was significantly positively correlated with soil carbon∶nitrogen. Redundancy analysis indicates that soil alkaline dissolved nitrogen was the primary factor influencing maize leaf stoichiometry. The composite scores of the affiliation functions indicated that the HID1 treatment had the best regulatory effect on the internal stability of maize leaves and soil ecological stoichiometry. Under the H1 (complete straw crushing and deep plowing return) mode in the Ningxia Yellow River Irrigation Area, a maize planting density of D1 (67 500 plants·hm−2) was favorable for increasing maize leaves and soil carbon, nitrogen, and phosphorus contents, and optimizing ecological stoichiometric ratios, which led to the effective use of soil nutrient resources. This study systematically revealed, for the first time, the synergistic effects of straw return and planting density in the Ningxia Yellow River Irrigation Area.

     

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