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Impacts of Surface Ozone Pollution on Global Crop Yields: Comparing Different Ozone Exposure Metrics and Incorporating Co-effects of CO2

机译:表面臭氧污染对全球作物产量的影响:比较不同的臭氧暴露度量并掺入二氧化碳的共效应

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摘要

Surface ozone (O3) pollution poses significant threats to crop production and food security worldwide, but an assessment of present-day and future crop yield losses due to exposure to O3 still abides with great uncertainties, mostly due: (1) to the large spatiotemporal variability and uncertain future projections of O3 concentration itself; (2) different methodological approaches to quantify O3 exposure and impacts; (3) difficulty in accounting for co-varying factors such as CO2 concentration and climatic conditions. In this paper, we explore these issues using a common framework: a consistent set of simulated present-day O3 fields from one chemical transport model, coupled with a terrestrial ecosystem-crop model to derive various O3 exposure metrics and impacts on relative crop yields worldwide, and examine the potential effects of elevated CO2 on O3-induced crop yield losses. Throughout, we review and explain the differences in formulation and parameterization in the various approaches, including the concentration-based metrics, flux-based metrics, and mechanistic biophysical crop modeling. We find that while the spatial pattern of yield losses for a given crop is generally consistent across metrics, the magnitudes can differ substantially. Pooling the concentration-based and flux-based metrics together, we estimate the present-day globally aggregated yield losses to be: 3.6 ± 1.1% for maize, 2.6 ± 0.8% for rice, 6.7 ± 4.1% for soybean, and 7.2 ± 7.3% for wheat; these estimates are generally consistent with previous studies but on the lower end of the uncertainty range covered. We attribute the large combined uncertainty mostly to the differences among methodological approaches, and secondarily to differences in O3 and meteorological inputs. Based on a biophysical crop model that mechanistically simulates photosynthetic and yield responses of crops to stomatal O3 uptake, we further estimate that increasing CO2 concentration from 390 to 600 ppm reduces the globally aggregated O3-induced yield loss by 21–52% for maize and by 27–38% for soybean, reflecting a CO2-induced reduction in stomatal conductance that in turn alleviates stomatal O3 uptake and thus crop damage. Rising CO2 may therefore render the currently used exposure-yield relationships less applicable in a future atmosphere, and we suggest approaches to address such issues.
机译:表面臭氧(O3)污染在全球范围内造成严重威胁作物生产和粮食安全,但由于暴露于O3而对当天和未来的作物产量损失的评估仍然具有巨大的不确定性,主要是截止日期:(1)到大时代的巨大的不确定性O3浓度本身的可变性和不确定的未来预测; (2)量化o3暴露和影响的不同方法方法; (3)难以核算共同不同因素,如CO2浓度和气候条件。在本文中,我们使用共同框架探讨这些问题:来自一个化学传输模型的一组一致的模拟本日O3场,与地面生态系统 - 作物模型相结合,从而导出各种O3曝光度量和全球对相对作物产量的影响,并检查CO2升高对O3诱导的作物产量损失的潜在影响。在整个过程中,我们审查并解释了各种方法中的配方和参数化的差异,包括基于浓度的指标,基于助推的度量和机械生物物理作物模拟。我们发现,虽然给定作物的产量损失的空间模式通常在度量上一致,但大小可以大幅不同。汇集基于浓度和基于通量的指标,我们估计本日全球汇总的产量损失是:3.6±1.1%的玉米,2.6±0.8%,大豆为6.7±4.1%,7.2±7.3小麦的%;这些估计通常与先前的研究一致,但在不确定范围的下端覆盖。我们将大多数综合不确定性归因于方法论方法的差异,其次对O3和气象投入的差异。基于生物物理作物模型,可以理解地模拟作物对气孔O3摄取的光合作用和产量应答,我们进一步估计了从390至600ppm的增加CO 2浓度降低了玉米21-52%的全球聚集的O3诱导的产量损失。 27-38%大豆,反映了气孔导度,反过来的缓解气孔O3摄取并因此损害作物的CO 2引起的减少。因此,上升二氧化碳可能会使目前使用的暴露 - 产量关系不太适用于未来的氛围,我们建议解决此类问题的方法。

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