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基于耦合模式比较计划第六阶段多模式集合预测的华北平原小麦对未来气候变化响应模拟

Simulation of Wheat Response to Future Climate Change Based on Coupled Model Inter-Comparison Project Phase 6 Multi-Model Ensemble Projections in the North China Plain.

作者信息

Bai Huizi, Xiao Dengpan, Wang Bin, Liu De Li, Tang Jianzhao

机构信息

Engineering Technology Research Center, Geographic Information Development and Application of Hebei, Institute of Geographical Sciences, Hebei Academy of Sciences, Shijiazhuang, China.

College of Geography Science, Hebei Normal University, Shijiazhuang, China.

出版信息

Front Plant Sci. 2022 Feb 3;13:829580. doi: 10.3389/fpls.2022.829580. eCollection 2022.

Abstract

Global climate change results in more extreme temperature events, which poses a serious threat to wheat production in the North China Plain (NCP). Assessing the potential impact of temperature extremes on crop growth and yield is an important prerequisite for exploring crop adaptation measures to deal with changing climate. In this study, we evaluated the effects of heat and frost stress during wheat sensitive period on grain yield at four representative sites over the NCP using Agricultural Production System Simulator (APSIM)-wheat model driven by the climate projections from 20 Global Climate Models (GCMs) in the Coupled Model Inter-comparison Project phase 6 (CMIP6) during two future periods of 2031-2060 (2040S) and 2071-2100 (2080S) under societal development pathway (SSP) 245 and SSP585 scenarios. We found that extreme temperature stress had significantly negative impacts on wheat yield. However, increased rainfall and the elevated atmospheric CO concentration could partly compensate for the yield loss caused by extreme temperature events. Under future climate scenarios, the risk of exposure to heat stress around flowering had no great change but frost risk in spring increased slightly mainly due to warming climate accelerating wheat development and advancing the flowering time to a cooler period of growing season. Wheat yield loss caused by heat and frost stress increased by -0.6 to 4.2 and 1.9-12.8% under SSP585_2080S, respectively. We also found that late sowing and selecting cultivars with a long vegetative growth phase (VGP) could significantly compensate for the negative impact of extreme temperature on wheat yields in the south of NCP. However, selecting heat resistant cultivars in the north NCP and both heat and frost resistant cultivars in the central NCP may be a more effective way to alleviate the negative effect of extreme temperature on wheat yields. Our findings showed that not only heat risk should be concerned under climate warming, but also frost risk should not be ignored.

摘要

全球气候变化导致更极端的温度事件,这对华北平原的小麦生产构成严重威胁。评估极端温度对作物生长和产量的潜在影响是探索作物适应措施以应对气候变化的重要前提。在本研究中,我们利用农业生产系统模拟器(APSIM)-小麦模型,评估了华北平原四个代表性地点小麦敏感期的高温和霜冻胁迫对粮食产量的影响。该模型由耦合模式比较计划第6阶段(CMIP6)中20个全球气候模型(GCM)的气候预测驱动,模拟了社会发展路径(SSP)245和SSP585情景下2031 - 2060年(2040年代)和2071 - 2100年(2080年代)这两个未来时期。我们发现极端温度胁迫对小麦产量有显著负面影响。然而,降雨增加和大气CO浓度升高可以部分弥补极端温度事件造成的产量损失。在未来气候情景下,开花期附近遭受热胁迫的风险变化不大,但春季霜冻风险略有增加,主要是因为气候变暖加速了小麦发育,使开花期提前到生长季较凉爽的时期。在SSP585_2080S情景下,高温和霜冻胁迫导致的小麦产量损失分别增加了-0.6%至4.2%和1.9%至12.8%。我们还发现,晚播和选择营养生长阶段(VGP)长的品种可以显著弥补华北平原南部极端温度对小麦产量的负面影响。然而,在华北平原北部选择耐热品种,在中部选择耐热和抗霜冻品种可能是减轻极端温度对小麦产量负面影响的更有效方法。我们的研究结果表明,在气候变暖的情况下,不仅要关注热风险,霜冻风险也不容忽视。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbda/8850353/dee8a5ad9eb7/fpls-13-829580-g001.jpg

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