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Effect of climate change on field crop production in California's Central Valley. (Special Issue: California second assessment: new climate change impact studies and implications for adaptation.)

机译:气候变化对加利福尼亚中央山谷农作物产量的影响。 (特刊:加利福尼亚第二次评估:新的气候变化影响研究及其对适应的影响。)

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Climate change under various emission scenarios is highly uncertain but is expected to affect agricultural crop production in the 21st century. However, we know very little about future changes in specific cropping systems under climate change in California's Central Valley. Biogeochemical models are a useful tool to predict yields as it integrates crop growth, nutrient dynamics, hydrology, management and climate. For this study, we used DAYCENT to simulate changes in yield under A2 (medium-high) and B1 (low) emission scenarios. In total, 18 climate change predictions for the two scenarios were considered by applying different climate models and downscaling methods. The following crops were selected: alfalfa (hay), cotton, maize, winter wheat, tomato, and rice. Sunflower was also selected because it is commonly included in rotations with the other crops. By comparing the 11-year moving averages for the period 1956 to 2094, changes in yield were highly variable depending on the climate change scenarios across times. Furthermore, yield variance for the crops increased toward the end of the century due to the various degrees of climate model sensitivity. This shows that future climate, suggested by each of the emission scenarios, has a broad range of impacts on crop yields. Nevertheless, there was a general agreement in trends of yield changes. Under both A2 and B1, average modeled cotton, sunflower, and wheat yields decreased by approximately 2% to 9% by 2050 compared to the 2009 average yields. The other crops showed apparently no decreases in yield for the period 2010-2050. In comparison, all crop yields except for alfalfa significantly declined by 2094 under A2, but less under B1. Under A2, yields decreased in the following order: cotton (25%)>sunflower (24%)>wheat (14%)>rice (10%)>tomato and maize (9%). Under A2 compared to B1, the crop yield further decreased by a range of 2% (alfalfa) to 17% (cotton) by 2094, with more variation in yield change in the southern counties than the northern counties. The CO2 fertilization effects were predicted to potentially offset these yield declines (>30%) but may be overestimated. Our results suggest that climate change will decrease California crop yields in the long-term, except for alfalfa, unless greenhouse gas emissions and resulting climate change is curbed and/or adaptation of new management practices and improved cultivars occurs.
机译:各种排放情景下的气候变化是高度不确定的,但预计将影响21世纪的农业作物生产。但是,我们对加利福尼亚中央谷地气候变化下特定种植系统的未来变化知之甚少。生物地球化学模型综合了作物生长,养分动态,水文,管理和气候,是预测产量的有用工具。在本研究中,我们使用DAYCENT模拟A2(中高)和B1(低)排放情景下的产量变化。通过应用不同的气候模型和降尺度方法,总共考虑了两种情景的18种气候变化预测。选择了以下农作物:苜蓿,干草,棉花,玉米,冬小麦,番茄和水稻。还选择了向日葵,因为向日葵通常与其他农作物一起轮作使用。通过比较1956年至2094年的11年移动平均值,产量的变化在很大程度上取决于不同时期的气候变化情景。此外,由于气候模型敏感性的不同程度,到本世纪末,农作物的产量差异增加。这表明,每种排放情景都暗示了未来的气候对作物产量具有广泛的影响。然而,在产量变化趋势上已达成普遍共识。在A2和B1模式下,到2050年,模拟棉花,向日葵和小麦的平均单产比2009年的平均单产下降约2%至9%。其他作物在2010-2050年期间显然未见单产下降。相比之下,除苜蓿外,所有作物的产量在A2下均显着下降了2094,而在B1下则有所下降。在A2下,产量按以下顺序下降:棉花(25%)>向日葵(24%)>小麦(14%)>大米(10%)>番茄和玉米(9%)。与B1相比,在A2下,到2094年,农作物产量进一步下降了2%(苜蓿)至17%(棉花),南部县的产量变化比北部县大。预测CO 2 的施肥效果可能抵消了这些产量下降(> 30%),但可能被高估了。我们的结果表明,除非苜蓿草,否则气候变化将长期降低加利福尼亚州的农作物产量,除非温室气体排放和由此引起的气候变化得到遏制和/或发生新的管理方式和改良品种。

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