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Modelling inclusion, testing and benchmarking of the impacts of ozone pollution on crop yields at regional levelModule development and testing and benchmarking with the WOFOST generic crop model

机译:在区域一级对臭氧污染对作物产量的影响进行纳入,测试和基准确定模型使用WOFOST通用作物模型进行模块开发,测试和基准测试

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摘要

The WOFOST crop model -as implemented in the BioMA modelling framework- was extended with algorithms to account for the effects of ground-level ozone on crop growth and yield. The additional algorithms implemented concern:•Effect of water stress on stomatal conductance•Reduction of carboxylation rate of Rubisco•Ability of plants to partly recover from ozone damage•Acceleration of leaf senesce due to O3 exposureMeteorological datasets, with a consistent hourly-daily temporal resolution, were selected for two locations in Germany (Bremen) and Spain (Jerez), encompassing different climatic conditions. The sensitivity of two types of crops was assessed: wheat, which is relatively sensitive to O3 damage, and barley, which is less sensitive. These two crops were exposed to a range of hypothetical O3 mixing ratios of 20, 40, and 60 ppb during the entire crop growth cycle, as well as during specific months. Two agro-managements options were analysed: a potential yield case (i.e. no water stress by mimicking a full crop irrigation case), and a rain-fed case. Irrespective of ozone, rainfed wheat and barley yields are lower by only 12 % in Bremen compared to fully irrigated crops, while strongly reduced by 55 % in Jerez. Additionally, wheat yield losses, up to 30 % are calculated for ozone concentrations of 60 ppb, and only half of these for barley. Yield losses are substantially smaller in Jerez for rain-fed crops, when stomatal closure is limiting gas exchange, and thus impeding photosynthesis, crop growth and yields, but also reducing ozone uptake. General findings are: •Crop damages due to O3 exposure increase with O3 concentration •Effects of high O3 concentrations are very heterogeneous depending on month, site, crop and the simulated variable considered•The highest impact is obtained when the month with high O3 concentration coincides with the anthesis/grain filling stage (June for Bremen, April for Jerez) •Rain-fed crop damage is more marked in Bremen than Jerez and irrigation practice exacerbates O3 damages, especially in Jerez •Barley is less affected by O3 impact according to the lower sensitivity of the crop.The algorithms developed can easily be implemented in other (generic or crop-specific) models of similar complexity. Compare model results against field data under diverse conditions will be the next phase of this work, and further model developments are needed to simulate so-called “stomatal sluggishness” (i.e. damage to the stomata due to ozone).
机译:在BioMA建模框架中实施的WOFOST作物模型已扩展了算法,以说明地面臭氧对作物生长和产量的影响。额外的算法实现了以下问题:•水分胁迫对气孔导度的影响•降低Rubisco的羧化率•植物从臭氧破坏中部分恢复的能力•暴露于O3引起的叶片感觉加速气象数据集,具有一致的每日时空分辨率分别在德国(不来梅)和西班牙(赫雷斯)的两个地点被选中,涵盖了不同的气候条件。评估了两种农作物的敏感性:对O3伤害相对敏感的小麦和对大麦较不敏感的大麦。在整个作物生长周期以及特定月份中,这两种作物都暴露于20、40和60 ppb的假设O3混合比范围。分析了两种农业管理方案:一个潜在的产量案例(即,通过模拟完整的农作物灌溉案例来避免缺水)和一个雨养案例。不考虑臭氧,与完全灌溉的农作物相比,不来梅的雨养小麦和大麦单产仅降低了12%,而赫雷斯则大幅降低了55%。此外,对于60 ppb的臭氧浓度,小麦的产量损失最多可计算30%,而大麦的损失仅为一半。在赫雷斯,雨养作物的产量损失要小得多,这是因为气孔关闭限制了气体交换,从而阻碍了光合作用,作物生长和单产,但同时也减少了臭氧的吸收。一般发现是:•由于O3暴露而导致的农作物损害随O3浓度的增加而增加•高O3浓度的影响非常不相同,具体取决于月份,地点,作物和所考虑的模拟变量•当O3浓度高的月份适时会产生最大的影响在花药/籽粒灌浆阶段(不来梅为六月,赫雷斯为四月)•不来梅的雨养作物损害比赫雷斯更为明显,灌溉实践加剧了O3的破坏,特别是在赫雷斯•大麦受O3影响的影响较小较低的农作物敏感性。开发的算法可以轻松地在其他具有类似复杂性的(通用或特定农作物)模型中实施。将模型结果与不同条件下的现场数据进行比较将是这项工作的下一阶段,并且需要进一步的模型开发来模拟所谓的“气孔缓慢”(即,臭氧对气孔的损害)。

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