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Changes in soybean yields in the midwestern United States as a result of future changes in climate, climate variability, and CO2 fertilization

机译:由于气候,气候变化和二氧化碳施肥的未来变化,美国中西部的大豆单产发生了变化

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This modeling study addresses the potential impacts of climate change and changing climate variability due to increased atmospheric CO2 concentration on soybean (Glycine max (L.) Merrill) yields in the Midwestern Great Lakes Region. Nine representative farm locations and six future climate scenarios were analyzed using the crop growth model SOYGRO. Under the future climate scenarios earlier planting dates produced soybean yield increases of up to 120% above current levels in the central and northern areas of the study region. In the southern areas, comparatively small increases (0.1 to 20%) and small decreases (-0.1 to -25%) in yield are found. The decreases in yield occurred under the Hadley Center greenhouse gas run (HadCM2-GHG), representing a greater warming, and the doubled climate variability scenario - a more extreme and variable climate. Optimum planting dates become later in the southern regions. CO2 fertilization effects (555 ppmv) are found to be significant for soybean, increasing yields around 20% under future climate scenarios. For the study region as a whole the climate changes modeled in this research would have an overall beneficial effect, with mean soybean yield increases of 40% over current levels.
机译:该建模研究解决了由于大气CO2浓度升高对中西部大湖区大豆(Glycine max(L.)Merrill)产量造成的气候变化和气候变化的潜在影响。使用作物生长模型SOYGRO对9个代表性农场位置和6个未来气候情景进行了分析。在未来的气候情景下,较早的播种日期使研究区域中部和北部地区的大豆单产比当前水平高出120%。在南部地区,单产增幅相对较小(0.1%至20%),而降幅较小(-0.1至-25%)。在哈德利中心温室气体运行(HadCM2-GHG)下,单产下降,这意味着变暖加剧,气候变率情景翻倍,即极端气候和多变气候。最佳播种日期在南部地区推迟。发现二氧化碳施肥的影响(555 ppmv)对大豆非常重要,在未来的气候情景下,单产提高了约20%。对于整个研究区域,本研究中模拟的气候变化将具有总体有益效果,平均大豆产量比当前水平增加40%。

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