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Impact of climate change on crop water requirements in eastern Canada.

机译:气候变化对加拿大东部农作物需水量的影响。

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摘要

Crop production is highly dependent upon weather; therefore, future climate change could adversely affect the burgeoning global population. The primary objective of this study was to predict the consequences of climate change on agriculture. Since current climate projections use general circulation models (GCMs) on a global scale, a statistical downscaling model (SDSM) was used to downscale these outputs into a local scale, essential for reliable crop model simulations.;Regarding predicted increases in temperatures and variability in precipitation, the SDSM-HadCM3 A2 scenario forecast the greatest increases, namely ∼3.5 and ∼2.5°C in average monthly maximum and minimum temperatures, respectively, during the growing season, compared to a 1961-1990 base period. Moreover, precipitation events were also predicted to be more frequent (8 to 30%) and intense (10 to 50%) during crop growing months.;With these future climate change scenarios, irrigated peach yield could increase 5 to 20%, since actual tree transpiration reached 0.8 kg/h (compared to a maximum of 0.4 kg/h without irrigation). Furthermore, with irrigation, fruit firmness, the best indicator of ripening and predictor of peach storage potential, is expected to improve by 20% over the current value of 340 kPa.;The most novel aspect of this study was development of the IRM, and its prediction of optimal irrigation needed to sustain or increase crop yield and quality, and concurrently conserve water.;By linking predicted changes in local climate to soil properties and crop characteristics through field and laboratory studies, thresholds of soil moisture content for efficient irrigation scheduling were defined, and an irrigation requirements model (IRM) was developed. Using the IRM, irrigation was triggered when soil moisture was 18 or 24 mm for peaches grown in clay and sandy soils, respectively, and was also triggered at 56 mm for grapes grown in clay soils. It was noteworthy that the IRM reduced irrigation needs by 20 to 25% without affecting yield of peaches (50 to 60 kg/tree).
机译:作物生产高度依赖天气;因此,未来的气候变化可能会对新兴的全球人口产生不利影响。这项研究的主要目的是预测气候变化对农业的影响。由于当前的气候预测在全球范围内使用通用循环模型(GCM),因此使用统计缩减模型(SDSM)将这些产出缩减到局部规模,这对于可靠的作物模型模拟是必不可少的;降水,SDSM-HadCM3 A2情景预测,与1961-1990年基期相比,在生长季节,平均每月最高和最低温度分别升高约3.5和2.5℃。此外,据预测在作物生长的几个月中降水事件也将更加频繁(8%至30%)和强烈(10%至5​​0%).;在这些未来的气候变化情景中,灌溉桃的产量可能会增加5%至20%。树木的蒸腾量达到了0.8 kg / h(相比之下,不灌溉的最大蒸腾量为0.4 kg / h)。此外,通过灌溉,果实的硬度(成熟度的最佳指标和桃贮藏潜力的预测指标)有望比当前340 kPa的值提高20%。该研究最新颖的方面是IRM的发展,以及通过维持和提高作物产量和质量并同时节水的最佳灌溉预测。通过田间和实验室研究将预测的局部气候变化与土壤特性和作物特征联系起来,有效灌溉计划的土壤含水量阈值确定了灌溉需求模型(IRM)。使用IRM,当在粘土和沙质土壤中种植的桃子的土壤水分分别为18或24 mm时触发灌溉,对于在粘土土壤中生长的葡萄,在56 mm时触发灌溉。值得注意的是,IRM将灌溉需求减少了20%至25%,而不会影响桃子的产量(每棵树50至60公斤)。

著录项

  • 作者

    Doria, Rufa O.;

  • 作者单位

    McGill University (Canada).;

  • 授予单位 McGill University (Canada).;
  • 学科 Agriculture Agronomy.;Climate Change.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 312 p.
  • 总页数 312
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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