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Simulating dry matter yield of two cropping systems with the simulation model HERMES to evaluate impact of future climate change

机译:使用模拟模型HERMES模拟两个种植系统的干物质产量,以评估未来气候变化的影响

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Regionalized model calculations showed increased rainfall and temperatures in winter and less precipitation and higher temperatures in summer due to climate change effects in the future for numerous countries in the northern hemisphere. Furthermore, model simulations predicted enhanced weather variability with an increased risk of yield losses and reduced yield stability. Recently, double cropping systems (DCS) were suggested as an environmental friendly and productive adaptation strategy with increased yield stability. This paper reviews the potential benefit of four DCS (rye (Secale cereale L.) as first crop and maize (Zea mays L.), sunflower (Helianthus annuus L.), sorghum (Sorghum sudanense L. x Sorghum bicolor L.) and sudan grass (S. sudanense L.) as second crops) in comparison with four conventional sole cropping systems (SCS) (maize, sunflower, sorghum and sudan grass) with regard to dry matter (DM) yield and soil water under conditions of climate change. We used the agro-ecosystem model HERMES for simulating these variables until the year 2100. The investigated crops sunflower, sorghum and sudan grass were parameterised first for HERMES achieving a satisfying performance. Results showed always higher DM yields per year of DCS compared with SCS. This was mainly caused by yield increases of the first crop winter rye harvested at the stage of milk ripeness. As a winter hardy crop, rye will benefit from increased precipitation and higher temperatures during winter months as well as from extended growth periods with an earlier onset in spring and an increase of growing days. Furthermore, rye is able to use the increased winter humidity for its spring growth in an efficient way. By contrast, model simulations showed that summer crops will be affected by reduced precipitation and higher temperatures during summer month for periods from 2050 onwards with the consequence of reduced yields. This yield reduction was found for all summer crops both in conventional sole crop and in DCS. Preponed harvesting of first crop winter rye as a consequence of earlier onset of growth period in spring under prospective climatic conditions lead to yield decrease, which could not be equalised by preponed sowing of second crops and extension of their growth period. Hence, total annual yield of both crops together decreased. The modification of sowing and harvesting dates as an adaptation strategy requires further research with the use of more holistic simulation models. To summarize, DCS may provide a promising adaptation strategy to effects of climate change with a substantial stabilisation of crop yields. (C) 2015 Elsevier B.V. All rights reserved.
机译:区域模型计算显示,由于未来北半球许多国家的气候变化影响,冬季降雨和气温增加,冬季降水减少,夏季气温升高。此外,模型模拟预测天气变化性会增加,产量损失风险增加,且产量稳定性下降。最近,有人建议采用双作系统(DCS)作为一种环境友好,生产适应性强的策略,以提高产量的稳定性。本文回顾了四种DCS(黑麦(Secale graine L.)作为第一作物和玉米(Zea mays L.),向日葵(Helianthus annuus L.),高粱(Sorghum sudanense L. x Sorghum bicolor L.)和苏丹草(S. sudanense L.)作为第二作物)与四种常规单一种植系统(SCS)(玉米,向日葵,高粱和苏丹草)相比,气候条件下的干物质(DM)产量和土壤水分更改。我们使用农业生态系统模型HERMES来模拟这些变量,直到2100年为止。首先对所研究的向日葵,高粱和苏丹草等作物进行参数化处理,以使HERMES获得令人满意的性能。结果表明,与SCS相比,DCS每年的DM产量始终较高。这主要是由于在牛奶成熟阶段收获的首批冬季黑麦的单产增加。作为一种耐寒作物,黑麦将受益于冬季降水增加和温度升高,以及由于春季早发和生长天数增加而延长的生长期。此外,黑麦能够有效利用春季增加的冬季湿度。相比之下,模型模拟表明,从2050年开始的夏季,夏季作物将受到降水减少和温度升高的影响,其结果是单产下降。在常规的单一作物和DCS中,所有夏季作物的单产都降低了。由于春季在预期气候条件下较早的生长期开始,因此第一季黑麦的提前收获导致单产下降,而第二季的提前播种和生育期的延长无法弥补这一损失。因此,两种作物的年总产量一起下降。修改播种和收获日期作为一种适应策略,需要使用更全面的仿真模型进行进一步的研究。综上所述,DCS可以提供​​一种有前途的适应策略,使气候变化的影响得到实质性的稳定。 (C)2015 Elsevier B.V.保留所有权利。

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