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首页> 外文期刊>European Journal of Agronomy >Effect of temperature and precipitation on nitrate leaching from organic cereal cropping systems in Denmark
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Effect of temperature and precipitation on nitrate leaching from organic cereal cropping systems in Denmark

机译:温度和降水量对丹麦有机谷物种植系统中硝酸盐淋失的影响

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The effect of variation in seasonal temperature and precipitation on soil water nitrate (NO3-N) concentration and leaching from winter and spring cereals cropping systems was investigated over three consecutive four-year crop rotation cycles from 1997 to 2008 in an organic farming crop rotation experiment in Denmark. Three experimental sites, varying in climate and soil type from coarse sand to sandy loam, were investigated. The experiment included experimental treatments with different rotations, manure rate and cover crop, and soil nitrate concentrations was monitored using suction cups. The effects of climate, soil and management were examined in a linear mixed model, and only parameters with significant effect (P 0.05) were included in the final model. The model explained 61% and 47% of the variation in the square root transform of flow-weighted annual NO3-N concentration for winter and spring cereals, respectively, and 68% and 77% of the variation in the square root transform of annual NO3-N leaching for winter and spring cereals, respectively. Nitrate concentration and leaching were shown to be site specific and driven by climatic factors and crop management. There were significant effects on annual N concentration and NO3-N leaching of location, rotation, previous crop and crop cover during autumn and winter. The relative effects of temperature and precipitation differed between seasons and cropping systems. A sensitivity analysis revealed that the predicted N concentration and leaching increased with increases in temperature and precipitation. (C) 2014 Elsevier B.V. All rights reserved.
机译:在有机耕作轮作试验中,研究了1997年至2008年连续三个四年轮作周期中季节温度和降水量变化对冬季和春季谷物耕作系统土壤水硝酸盐(NO3-N)浓度和淋溶的影响。在丹麦。研究了三个实验地点,气候和土壤类型从粗砂到沙壤土,都不同。该实验包括不同轮作,肥料用量和覆盖作物的实验处理,并使用吸盘监测土壤硝酸盐浓度。在线性混合模型中检查了气候,土壤和管理的影响,最终模型中仅包含有显着影响的参数(P <0.05)。该模型分别解释了冬季和春季谷物的流量加权年度NO3-N浓度平方根变换的61%和47%,以及年度NO3平方根变换的68%和77% -N分别用于冬季和春季谷物的浸出。硝酸盐浓度和浸出被证明是特定地点的,并且受气候因素和作物管理的驱动。在秋季和冬季,对年度氮素浓度和NO3-N淋失的位置,轮作,先前作物和作物覆盖率有显着影响。温度和降水的相对影响在季节和种植系统之间有所不同。敏感性分析表明,随着温度和降水量的增加,预测的氮浓度和淋溶量也会增加。 (C)2014 Elsevier B.V.保留所有权利。

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