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C、N、P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、叶片C∶P和土壤有机碳。与D2、D3相比, 土壤有机碳、土壤全氮和叶片碳在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%、叶片碳磷比14.06%和土壤有机碳25.83%。内稳性指数显示: H1模式下的叶片C、N、P内稳性均高于H0, 与中、高密度相比, 低密度(D1)处理下叶片C的内稳性最高。叶片C、N、P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C与土壤C, 叶片P与土壤P均呈极显著正相关, 叶片C∶N与土壤C∶N呈显著正相关。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、土壤碳氮磷含量, 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: To study the effects and interactions of different straw return modes and planting densities on maize leaf-soil ecological stoichiometric characteristics at different fertility periods, and providetheoretical basis for the application and promotion of the stover return to the field technologyfor the effective utilization in the Ningxia Yellow River Irrigation Area of soil carbon, nitrogen and phosphorus resources for nutrients. Using a two-factor spilt-plot experimental design, the main plot consists of two straw returning modes: H0 (no straw return) and H1 (complete straw crushing and deep plowing return); the subplot are 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 C, N and P contents in maize leaves and soil were measured in different treatments, the stoichiometric ratio and internal stability index were calculated, and the influences of soil environmental factors on maize leaf stoichiometry were analyzed. The results showed that compared with H0, H1 mode significantly increased leaf organic carbon, leaf C∶P and soil organic carbon respectively. Compared with D2 and D3, soil organic carbon, soil total nitrogen and leaf carbon were significantly increased by 10.26%−20.37%, 9.14%−17.49% and 7.83%−18.25% at D1 density, respectively. Among them, compared with H0D3, HID1 significantly increased leaf organic carbon, leaf carbon to phosphorus ratio and soil organic carbon by 21.27%, 14.06% and 25.83%, respectively. The internal stability indices showed that leaf C, N and P internal stability were higher in H1 (complete straw crushing and deep plowing return) mode than in H0 (no straw return), and meanwhile, the highest internal stability of leaf C was observed in the low density (D1) treatment compared with the medium and high density. The internal stability of leaf C, N, and P showed HC>HN>HP, indicating that the plants were more capable of regulating carbon. Correlation analysis showed that leaf C was highly significant positively correlated with soil C and leaf P was significantly positively correlated with soil P. Leaf C∶N was significantly positively correlated with soil C∶N. Soil alkaline dissolved nitrogen was the main factor influencing maize leaf stoichiometry. The composite scores of the affiliation function indicated that the HID1 treatment had the best regulating effect on the internal stability of maize leaf 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) is favorable for increasing maize leaves and soil carbon, nitrogen and phosphorus contents, and optimizing ecological stoichiometric ratios, which leads to the effective use of soil nutrient resources. This study systematically reveals for the first time the synergistic effects of straw return and planting densities in the Ningxia Yellow River irrigation area.

     

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