Concurrent drought threaten wheat and maize production and widen crop yield gaps in the future

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Miaolei Hou , Yi Li , Asim Biswas , Xinguo Chen , Lulu Xie , Deli Liu , Linchao Li , Hao Feng , Shufang Wu , Yusuke Satoh , Alim Pulatov , Kadambot H.M. Siddique
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引用次数: 0

Abstract

CONTEXT

Drought poses a significant threat to global crop production. As the global community grapples with the escalating challenges of climate change, understanding the multifaceted impacts of concurrent drought on food security becomes imperative.

OBJECTIVE

This study delved into the response of wheat and maize, key staples in the global food system, to different types of drought, with a particular focus on the yield gaps resulting from concurrent meteorological and agricultural drought.

METHODS

The DSSAT-CERES model was adopted to simulate phenophase, rain-fed, and potential yields of maize and wheat in China from 1962 to 2100. Meteorological (Non-stationary Standard Precipitation Evapotranspiration Index, NSPEI) and agricultural (Standard Soil Moisture Index, SSMI) drought indices were calculated from crop seeding to maturity stages. We employed bivariate and multiple cross-wavelet as well as vine Copula to qualitatively and quantitatively analyze the response of yield gaps to different drought types. Finally, we determined the relative dependence weights of maize and wheat on NSPEI and SSMI by least squares regression.

RESULTS AND CONCLUSIONS

Spanning from 2022 to 2100, a trend of shortened growth periods for these crops were detected, accompanied by increasingly drier conditions. These situations exacerbated the crops' vulnerability to concurrent drought, leading to considerable yield reductions. Our projections indicated that future yield gaps due to concurrent drought could be, on average, 2–30% higher than those caused by single-type drought. Concurrent drought affected wheat (5–50%) more severely than maize (0–35%). Western regions would be more affected than the Eastern regions. Under the SSP (Shared socioeconomic pathway) 5-8.5 scenario in 2022–2100, all four crops would have higher dependence weights on SSMI (51–99%) than NSPEI (26–59%), emphasizing the critical role of soil moisture in agricultural drought monitoring and yield loss alleviation.

SIGNIFICANCE

Our findings highlight the urgent need for integrated drought management strategies that address the compounded risks of concurrent drought, thereby contributing to the resilience of agricultural systems and global food security in a changing climate. Our research proposes to consider the relative weights of meteorological and agricultural drought in the future development of composite drought monitoring indicators for addressing food drought risk under climate change.

Abstract Image

并发干旱威胁小麦和玉米产量,扩大未来作物产量差距
CONTEXT干旱对全球作物生产构成重大威胁。随着全球社会努力应对不断升级的气候变化挑战,了解同时发生的干旱对粮食安全的多方面影响已成为当务之急。本研究深入探讨了全球粮食系统中的主要主粮--小麦和玉米对不同类型干旱的响应,尤其关注气象干旱和农业干旱同时发生时造成的产量差距。方法采用 DSSAT-CERES 模型模拟了 1962 年至 2100 年中国玉米和小麦的物候、雨养和潜在产量。计算了从作物播种期到成熟期的气象干旱指数(非稳态标准降水蒸散指数,NSPEI)和农业干旱指数(标准土壤水分指数,SSMI)。我们采用双变量和多重交叉小波以及藤蔓 Copula 对产量差距对不同干旱类型的响应进行定性和定量分析。最后,我们通过最小二乘法回归确定了玉米和小麦对 NSPEI 和 SSMI 的相对依赖权重。结果与结论从 2022 年到 2100 年,我们发现这些作物的生长期有缩短的趋势,同时条件越来越干旱。这些情况加剧了农作物对同期干旱的脆弱性,导致大量减产。我们的预测表明,未来并发干旱造成的产量缺口平均会比单一类型干旱造成的产量缺口高出 2-30%。并发干旱对小麦的影响(5-50%)比对玉米的影响(0-35%)更严重。西部地区比东部地区受到的影响更大。在 2022-2100 年的 SSP(共享社会经济路径)5-8.5 情景下,所有四种作物对 SSMI 的依赖权重(51-99%)都将高于 NSPEI(26-59%),这强调了土壤水分在农业干旱监测和减轻产量损失方面的关键作用。我们的研究建议在未来制定综合干旱监测指标时考虑气象干旱和农业干旱的相对权重,以应对气候变化下的粮食干旱风险。
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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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