物候适应性不足以抵消气候变化对美国杂交玉米造成的产量损失。

IF 10.8 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION Global Change Biology Pub Date : 2024-10-21 DOI:10.1111/gcb.17539
Aaron Kusmec, Patrick S. Schnable
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引用次数: 0

摘要

由于气温升高及其后果,预计气候变化将导致玉米减产。然而,利用作物生长模型(CGMs)进行的研究预测,通过综合改变播种期、开花期和成熟期,可以减轻甚至逆转这些产量损失。在此,我们探讨了此类研究的三个假设:(1) 气候驱动了历史物候趋势;(2) CGM 组合提供了高温下产量的无偏估计值;(3) 温度对产量的影响是物候与环境相互作用的一种显现特性。我们使用了美国农业部提供的玉米物候数据、从美国四个州 80 年公开产量试验记录中得出的玉米杂交种耐热性统计模型,以及 CMIP6 气候模型集合的输出结果。虽然播种日期在历史上有所提前,但我们发现 2005 年后播种日期有推迟的趋势,而吐丝期或成熟期则没有趋势,更多的时间转移到了生育期。然后,我们利用历史模型和利用之前提出的三种适应策略设计的作物日历预测了玉米产量。与使用 CGMs 进行的研究不同,我们的统计产量模型预测所有三种策略都会造成严重的产量损失。最后,我们根据历史上的耐热遗传变异对玉米产量进行了预测,结果发现这种遗传变异不足以克服预计变暖带来的负面影响。在所有作物日历和气候情景下,这些预测都是由更大的热应力暴露所驱动的。结合对玉米基因组对温度的内部敏感性的分析,我们的结果表明,目前的预测并未充分考虑温度升高对玉米产量的影响。美国中西部地区的气候适应必须采用比物候适应更丰富的策略,包括提高耐热性和作物多样化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Phenological Adaptation Is Insufficient to Offset Climate Change-Induced Yield Losses in US Hybrid Maize

Climate change is projected to decrease maize yields due to warmer temperatures and their consequences. Studies using crop growth models (CGMs), however, have predicted that, through a combination of alterations to planting date, flowering time, and maturity, these yield losses can be mitigated or even reversed. Here, we examine three assumptions of such studies: (1) that climate has driven historical phenological trends, (2) that CGM ensembles provide unbiased estimates of yields under high temperatures, and (3) that the effects of temperature on yields are an emergent property of interactions between phenology and environment. We used data on maize phenology from the United States Department of Agriculture, a statistical model of maize hybrid heat tolerance derived from 80 years of public yield trial records across four US states, and outputs of an ensemble of CMIP6 climate models. While planting dates have advanced historically, we found a trend toward later planting dates after 2005 and no trend for silking or maturity, shifting more time into the reproductive period. We then projected maize yields using the historical model and crop calendars devised using three previously proposed adaptation strategies. In contrast to studies using CGMs, our statistical yield model projected severe yield losses under all three strategies. Finally, we projected maize yields accounting for historical genetic variability for heat tolerance, discovering that it was insufficient to overcome the negative effects of projected warming. These projections are driven by greater heat stress exposure under all crop calendars and climate scenarios. Combined with analysis of the internal sensitivities of CGMs to temperature, our results suggest that current projections do not adequately account for the effects of increasing temperatures on maize yields. Climate adaptation in the US Midwest must utilize a richer set of strategies than phenological adaptation, including improvements to heat tolerance and crop diversification.

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来源期刊
Global Change Biology
Global Change Biology 环境科学-环境科学
CiteScore
21.50
自引率
5.20%
发文量
497
审稿时长
3.3 months
期刊介绍: Global Change Biology is an environmental change journal committed to shaping the future and addressing the world's most pressing challenges, including sustainability, climate change, environmental protection, food and water safety, and global health. Dedicated to fostering a profound understanding of the impacts of global change on biological systems and offering innovative solutions, the journal publishes a diverse range of content, including primary research articles, technical advances, research reviews, reports, opinions, perspectives, commentaries, and letters. Starting with the 2024 volume, Global Change Biology will transition to an online-only format, enhancing accessibility and contributing to the evolution of scholarly communication.
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