Probabilistic analysis of drought impact on wheat yield and climate change implications

IF 5.3 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Bin Wang , Linchao Li , Puyu Feng , Chao Chen , Jing-Jia Luo , Andréa S. Taschetto , Matthew Tom Harrison , Ke Liu , De Li Liu , Qiang Yu , Xiaowei Guo
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Abstract

Drought is projected to intensify under warming climate and will continuously threaten global food security. Assessing the risk of yield loss due to drought is key to developing effective agronomic options for farmers and policymakers. However, little has been known about determining the likelihood of reduced crop yield under different drought conditions and defining thresholds that trigger yield loss at the regional scale in Australia. Here, we estimated the dependence of yield variation on drought conditions and identified drought thresholds for 12 Australia's key wheat producing regions with historical yield data by developing bivariate models based on copula functions. These identified drought thresholds were used to investigate drought statistics under climate change with an ensemble of 36 climate models from Coupled Model Intercomparison Project Phase 6 (CMIP6). We found that drought-induced yield loss was region-specific. The drought thresholds leading to the same magnitude of wheat yield reduction were smaller in regions of southern Queensland and larger in Western Australia mainly due to different climate and soil conditions. Drought will be more frequent and affect larger areas under future warming climates. Based on our results, we advocate for more effective crop management options, particularly in regions where wheat yield is vulnerable to drought in Australia. This will mitigate potential drought impacts on crop production and safeguard global food security.

干旱对小麦产量的影响及气候变化影响的概率分析
在气候变暖的情况下,干旱预计会加剧,并将持续威胁全球粮食安全。评估干旱造成减产的风险是为农民和决策者制定有效农艺方案的关键。然而,对于如何确定不同干旱条件下作物减产的可能性,以及如何定义澳大利亚区域范围内引发减产的阈值,人们知之甚少。在此,我们估算了产量变化对干旱条件的依赖性,并通过建立基于共轭函数的双变量模型,利用历史产量数据确定了澳大利亚 12 个主要小麦产区的干旱阈值。这些已确定的干旱阈值被用于研究气候变化下的干旱统计数据,研究对象是耦合模式相互比较项目第 6 阶段(CMIP6)的 36 个气候模式。我们发现,干旱导致的产量损失具有区域特异性。主要由于气候和土壤条件的不同,导致小麦减产幅度相同的干旱阈值在昆士兰南部地区较小,而在西澳大利亚地区较大。在未来气候变暖的情况下,干旱会更加频繁,影响的区域也会更大。基于我们的研究结果,我们主张采用更有效的作物管理方案,尤其是在澳大利亚小麦产量易受干旱影响的地区。这将减轻干旱对作物生产的潜在影响,保障全球粮食安全。
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来源期刊
CiteScore
8.30
自引率
3.40%
发文量
1601
期刊介绍: ACS Applied Nano Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics and biology relevant to applications of nanomaterials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important applications of nanomaterials.
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