Department of Earth System Science, Center on Food Security and the Environment, Stanford University, Stanford, CA, USA.
Department of Plant Biology, Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Champaign, IL, USA.
Glob Chang Biol. 2018 Feb;24(2):e522-e533. doi: 10.1111/gcb.13946. Epub 2017 Nov 7.
Elevated atmospheric CO concentrations ([CO ]) are expected to increase C3 crop yield through the CO fertilization effect (CFE) by stimulating photosynthesis and by reducing stomatal conductance and transpiration. The latter effect is widely believed to lead to greater benefits in dry rather than wet conditions, although some recent experimental evidence challenges this view. Here we used a process-based crop model, the Agricultural Production Systems sIMulator (APSIM), to quantify the contemporary and future CFE on soybean in one of its primary production area of the US Midwest. APSIM accurately reproduced experimental data from the Soybean Free-Air CO Enrichment site showing that the CFE declined with increasing drought stress. This resulted from greater radiation use efficiency (RUE) and above-ground biomass production at elevated [CO ] that outpaced gains in transpiration efficiency (TE). Using an ensemble of eight climate model projections, we found that drought frequency in the US Midwest is projected to increase from once every 5 years currently to once every other year by 2050. In addition to directly driving yield loss, greater drought also significantly limited the benefit from rising [CO ]. This study provides a link between localized experiments and regional-scale modeling to highlight that increased drought frequency and severity pose a formidable challenge to maintaining soybean yield progress that is not offset by rising [CO ] as previously anticipated. Evaluating the relative sensitivity of RUE and TE to elevated [CO ] will be an important target for future modeling and experimental studies of climate change impacts and adaptation in C3 crops.
大气中 CO 浓度([CO ])的升高预计将通过 CO 施肥效应(CFE)刺激光合作用,并通过降低气孔导度和蒸腾作用来提高 C3 作物的产量。后一种效应被广泛认为在干旱条件下比在湿润条件下更有益,尽管最近的一些实验证据对此观点提出了挑战。在这里,我们使用基于过程的作物模型——农业生产系统模拟器(APSIM),来量化 CO 施肥效应在其美国中西部主要生产区之一的大豆上的当代和未来影响。APSIM 准确地再现了大豆自由空气 CO 增浓实验站点的实验数据,表明 CO 施肥效应随着干旱胁迫的增加而下降。这是由于在高 CO 浓度下,辐射利用效率(RUE)和地上生物量的增加超过了蒸腾效率(TE)的提高。使用 8 个气候模型的集合预测,我们发现美国中西部的干旱频率预计将从目前每 5 年一次增加到 2050 年每两年一次。除了直接导致产量损失外,更大的干旱也极大地限制了 CO 浓度升高带来的好处。本研究将局部实验和区域尺度建模联系起来,强调了增加的干旱频率和严重程度对维持大豆产量进展构成了严峻挑战,这无法被以前预期的 CO 浓度升高所抵消。评估 RUE 和 TE 对 CO 浓度升高的相对敏感性将是未来气候变化影响和 C3 作物适应的模型和实验研究的一个重要目标。