气候变化下复合干旱和极端温度对澳大利亚小麦产量的影响

Siyi Li, Bin Wang, D. Liu, A. Huete, Q. Yu
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摘要

自20世纪以来,全球许多农业地区极端气候事件的频率和强度都有所增加。然而,对极端事件对作物产量影响的量化主要集中在干旱或热胁迫等个别事件上。虽然有许多实例的证据表明,复合极端事件对作物产量的破坏性影响超过了单个事件,但这些影响的确切程度和长期影响仍不清楚。本文以澳大利亚小麦种植区为研究区域,包括12个分区域。各地区32年小麦产量数据(1990-2021年)来自澳大利亚农业和资源经济与科学局(ABARES)。采用1990-2021年历史气候资料强迫的APSIM模式模拟小麦物候和日有效水分。然后,我们根据建模结果确定了小麦繁殖期(WRP)干旱、高温和霜冻事件的日强度。此外,通过计算极端温度(DET)事件的日强度之和,得到了复合干旱和极端温度(DET)的年强度。在去除DET事件后,对干旱、高温和霜冻的剩余阶段的日强度分别进行累积求和,以表示这三个极端事件对应的年强度。最后,我们建立了多元线性回归模型来确定DET对小麦产量变化的贡献。(1)研究1990-2021年单次和复合干旱极端温度事件的特征;(2)量化DET对澳大利亚小麦带12个分区域小麦产量的影响;(3)确定低产年DET的相对重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compound drought and extreme temperature impacts on Australian wheat yields under climate change
: The frequency and intensity of extreme climate events have increased in many global agricultural regions since the twentieth century. However, the quantification of extreme events impact on crop yield was mainly focused on individual events like drought or heat stress. While there is evidence from numerous instances showcasing the destructive effects of compound extreme events on crop yield, surpassing those of individual events, the precise magnitude and long-term implications of these impacts remain unclear. Here we used Australia’s wheat growing belt including 12 subregions as the study area. The 32-year wheat yield data (1990-2021) for each region were obtained from Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES). The APSIM model forced with historical climate data in 1990-2021 was used to simulate the wheat phenology and daily plant available water. We then determined the daily intensity of drought, heat, and frost events during the wheat reproductive period (WRP) based on the modelling outputs. Furthermore, the annual intensity of compound drought and extreme temperature (DET) was obtained by calculating the sum of the daily intensity during DET events in WRP. After removing the DET episodes, the daily intensities of the remaining stages for drought, heat, and frost were accumulatively summed, respectively, to represent the corresponding annual intensity of these three individual extreme events. Finally, we developed multiple linear regression models to determine the contribution of DET to wheat yield change. We aim to (1) study the characteristics of single and compound drought and extreme temperature events in 1990-2021; (2) quantify the impacts of DET on wheat yields in 12 subregions in the Australian wheat belt; (3) identify the relative importance of DET in low-yield years.
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