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首页> 外文期刊>Acta Agriculturae Scandinavica. Section B, Soil and Plant Science >Sensitivity of crop yield and N losses in winter wheat to changes in mean and variability of temperature and precipitation in Denmark using the FASSET model.
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Sensitivity of crop yield and N losses in winter wheat to changes in mean and variability of temperature and precipitation in Denmark using the FASSET model.

机译:使用FASSET模型,丹麦的小麦产量和氮素损失对温度和降水的均值和变异性的敏感性。

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Sensitivity of wheat yield and soil nitrogen (N) losses to stepwise changes in means and variances of climatic variables were determined using the FASSET model. The LARS-WG was used to generate climate scenarios using observed climate data (1961-90) from two sites in Denmark, which differed in climate and soil conditions. Scenarios involved changes to (i) mean temperature alone, (ii) mean and variability of temperature, (iii) winter and summer precipitation amounts and (iv) duration of dry and wet series. The model predicted lower grain yield and N uptake in response to increases in mean temperatures, caused by early maturity, with little change in variability. This, however, increased soil mineral N causing increased N losses. On sandy loam, larger temperature variability lowered grain yields and increased N losses coupled with higher variability at all the mean temperature ranges. On coarse sand, grain yields either remained unaltered or were slightly reduced when larger temperature variability was introduced to increase in mean temperatures of up to +2 degrees C above baseline. However, introducing variability to further increase in mean temperatures lowered yields without any change in variability. Larger temperature variability did not affect soil mineral N and N2O emissions, but increased N leaching on coarse sand. Large response in grain yield, N uptake and soil N cycling, and in their variability was predicted when summer precipitation was varied, whereas only N leaching responded to changes in winter precipitation. Doubling the duration of dry series lowered grain yield and N removed by grain, but increased N leaching, whereas doubling the duration of wet series showed opposite effect. Predicted responses to changes in precipitation patterns were larger on coarse sand than on sandy loam. This study illustrates the importance of considering effects of changes to mean climatic factors, climatic variability and soil types on both crop yield and soil N losses.
机译:使用FASSET模型确定了小麦产量和土壤氮(N)损失对均值逐步变化和气候变量方差的敏感性。 LARS-WG用于根据丹麦两个地点的观测气候数据(1961-90年)生成气候情景,这些地点的气候和土壤条件有所不同。情景涉及以下方面的变化:(i)单独的平均温度,(ii)温度的平均值和可变性,(iii)冬季和夏季的降水量以及(iv)干燥和潮湿序列的持续时间。该模型预测由于早熟引起的平均温度升高,谷物产量和氮素吸收较低,而变异性几乎没有变化。然而,这增加了土壤矿质氮,导致氮损失增加。在沙壤土上,较大的温度变化率降低了谷物的产量,增加了氮的损失,同时在所有平均温度范围内变化较大。在较粗的沙地上,当引入较大的温度变化以使平均温度升高至比基线高+2摄氏度时,谷物的产量要么保持不变,要么略有降低。但是,引入可变性以进一步提高平均温度会降低产量,而不会改变可变性。较大的温度变化不会影响土壤矿物氮和一氧化二氮的排放,但会增加粗砂上氮的淋失。当夏季降水变化时,可预测谷物产量,氮素吸收和土壤氮循环及其变异性有较大的响应,而只有氮淋失对冬季降水的变化有响应。将旱作系列的持续时间加倍可降低籽粒的产量和氮素去除量,但增加氮素的淋失,而将湿作系列的持续时间加倍则显示出相反的效果。在粗沙上,对降雨模式变化的预测响应大于在沙壤土上。这项研究说明了考虑平均气候因素,气候变异性和土壤类型的变化对作物产量和土壤氮素损失的影响的重要性。

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