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Regional disparities in the CO2 fertilization effect and implications for crop yields

机译:二氧化碳施肥效应的区域差异及其对作物产量的影响

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Although crop yield generally responds positively to increased atmospheric CO2 concentration ([CO2]), the response depends on the species and environmental conditions. Thus, even though global [CO2] is increasing roughly uniformly, regional yield response to increased [CO2] will vary due to differences in climate and the mixture of crops. Although [CO2] effects have been shown to be important for economic and food security impacts of climate change, regional [CO2] effects are not often considered, and the few studies that have considered them disagree on regional patterns. Here regional yield effects of elevated [CO2] are examined by combining experimentally determined CO2 fertilization effect estimates with grid-level data on climate, crop areas, and yields. Production stimulation varies between regions, mostly driven by differences in climate but also by the mixture of crops. The variability in yield due to the variable response to elevated [CO2] is about 50–70% of the variability in yield due to the variable response to climate. There is, however, little agreement between studies regarding which regions benefit most from elevated [CO2]. This is likely because of interactions of CO2 with temperature, species, water status, and nitrogen availability, but no models currently account for all these interactions. These results suggest that regional differences in CO2 effects are of similar importance as regional differences in climate effects and should be included in models.
机译:尽管作物产量通常对大气中CO2浓度([CO2])的增加产生积极的响应,但响应取决于物种和环境条件。因此,即使全球[CO2]大致均匀地增加,由于气候和农作物混合物的差异,区域对[CO2]增加的产量响应也会有所不同。尽管已显示[CO2]的影响对于气候变化对经济和粮食安全的影响很重要,但并不经常考虑区域[CO2]的影响,并且认为它们的少数研究在区域模式上也存在分歧。在这里,通过将实验确定的CO2施肥效果估算值与有关气候,作物面积和单产的网格级别数据相结合,可以检查[CO2]升高的区域产量效应。区域之间的生产刺激有所不同,这主要是由气候差异驱动的,但也有多种作物的混合驱动的。由于对[CO2]浓度升高的变化而产生的产量变化约为气候变化引起的产量变化的50-70%。然而,关于哪个地区从[CO2]升高中受益最大的研究之间几乎没有共识。这可能是由于CO2与温度,物种,水状态和氮的有效性之间的相互作用,但是目前尚无模型能够说明所有这些相互作用。这些结果表明,二氧化碳影响的区域差异与气候影响的区域差异具有相似的重要性,因此应纳入模型中。

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