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EFFECTS OF ELEVATED CO_(2) AND TEMPERATURE ON PRODUCTIVITY OF THREE MAIN CROPPING SYSTEMS IN PUNJAB STATE OF INDIA--A SIMULATION ANALYSIS

机译:升高的CO_(2)和温度对印度旁遮普州三个主要种植系统生产率的影响 - 模拟分析

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Global climate change can affect yields of agricultural crops are likely to be affected due to rise in CO_(2) and temperature, apart from other factors. In this context, the present study aimed at to assess the effects of elevated ambient CO_(2) concentration, maximum and minimum temperatures alone and in combinations on crop productivity of three major cropping systems (maize-wheat, rice-wheat and cotton-wheat) of Punjab state of India. Series of climates were synthesized by increasing CO_(2) levels from 350 to 700ppm at interval of 70ppm and temperatures (maximum and minimum) from existing to 20percent rise at 5percent interval of the recorded data at Punjab Agricultural University, Ludhiana. Simulations were made for 15 years (1991-2005) using CropSyst model. The simulated results indicated that on doubling the CO_(2) level of the existing (350ppm) at existing temperature, yields of grain in maize, paddy in rice and seed-cotton in cotton were increased by 6.5, 4.9 and 5.5percent, respectively. In wheat, the magnitude of benefit varied from 3.8 to 12 percent depending upon the previous crop in rotation. In a complete rotation of cropping system, percent increase in wheat equivalent yield was 7.6 in maize-wheat, 7.5 in rice-wheat, and 4.7 in cotton-wheat system, respectively. Unlike effect of CO_(2), crop yields were decreased with increase in temperature. The percent decrease in yields of maize, rice and cotton were 42, 23 and 56 with increased maximum temperature (20percent of the existing) and 24, 13 and 28 with increased minimum temperature, respectively. In the cropping systems of maize-wheat, rice-wheat and cotton-wheat, percent decrease in wheat equivalent yield was 2, 23, and 39 with maximum and 12, 11 and 17 with minimum temperature, respectively. Sensitivity factors estimated by fitting a multiplicative model to the simulated data indicated that the crop yield is more sensitive to increase in maximum temperature than minimum and CO_(2). The interaction of temperature and CO_(2) suggest that decrease in yield due to increased maximum temperature by 1.0, 1.8 and 0.3 deg C or minimum by 1.8, 2.0 and 0.7 deg C of the existing temperatures can be levelled off by increased yield at double concentration of the CO_(2) than the existing in maize, rice and cotton crops.
机译:全球气候变化可能影响农业农作物的产量可能会受到影响因素,除其他因素之外的CO_(2)和温度上升。在这种情况下,本研究旨在评估单独的环境CO_(2)浓度,最高和最小温度的升高和最低温度的影响,并在三大种植系统的作物生产力组合(玉米小麦,米饭和棉质 - 小麦)印度旁遮普州。在70ppm农业大学普京农业大学的历报数据的50ppm和温度(最大值和最小)的间隔,通过在70ppm和最高和最低限度)下,通过将CO_(2)水平从350至700ppm增加到700ppm的间隔,合成了气候的一系列气候。使用综合模型(1991-2005)制作了仿真。模拟结果表明,在现有温度下的存在(350ppm)的CO_(2)水平加倍,棉花玉米谷物的产量分别增加了6.5,4.9和5.5%。在小麦中,根据先前的旋转作物,益处的幅度从3.8%变化。在种植系统的完全旋转中,小麦的小麦当量产量增加7.6分别为7.6分别为7.5米 - 小麦,4.7英寸棉质 - 小麦系统。与CO_(2)的效果不同,随着温度的增加而降低了作物产量。玉米,水稻和棉花产率降低的百分比为42,23和56,分别增加了最高温度(现有的20%)和24,13和28,分别增加了最低温度。在玉米小麦的种植系统中,小麦和棉质小麦,小麦当量率下降的百分比为2,23和39,最大,12,11和17分别具有最低温度。通过将乘法模型拟合到模拟数据来估计的灵敏度因子表明,作物产量比最高温度的增加更敏感,而不是最小值和CO_(2)。温度和CO_(2)的相互作用表明,由于最高温度提高1.0,1.8和0.3℃或最小含量的产量降低1.8,2.0和0.7℃的现有温度可以通过增加的产量增加CO_(2)的浓度比现有的玉米,水稻和棉花作物。

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