Projecting shifts in drought-induced thresholds for wheat yield loss under climate change in southeastern Australia

IF 6.6 1区 农林科学 Q1 AGRONOMY
Agricultural and Forest Meteorology Pub Date : 2026-03-01 Epub Date: 2026-01-03 DOI:10.1016/j.agrformet.2025.111003
Keyu Xiang , Bin Wang , De Li Liu , Chao Chen , Fei Ji , Fangzheng Chen , Shijin Yao , Siyi Li , Alfredo Huete , Yi Li , Qiang Yu
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Abstract

Drought is a principal determinant of yield variability in rain-fed wheat systems, with climate change expected to exacerbate both the frequency and severity of water deficits. However, knowledge gaps remain in quantifying (i) yield loss probability across different drought indices and (ii) the dynamic thresholds at which drought induces yield losses under divergent climate scenarios. A systematic quantification of these relationships is essential to improve the empirical foundation for risk assessment and adaptive strategies in water-limited agricultural systems. This study analyses future wheat yield loss probability and dynamic drought thresholds in southeastern Australia using the APSIM model and copula functions, comparing a soil water index (SPAWI) against a precipitation index (SPI). We found a higher future wheat yield loss probability for SPAWI-based drought (5–20% greater than for SPI), underscoring the limitation of rainfall-only indices by neglecting soil buffer effects during drought. Drought thresholds were higher for SPAWI than SPI, due to soil moisture buffering, and lower in wetter regions. Including CO2 fertilization increases yields and partially offsets drought impacts, lowering both loss probabilities and thresholds, while climate-model choice remains the dominant source of projected threshold shifts. Our analysis demonstrates that drought index selection influences yield-loss risk projections, and the quantified shifts in drought yield thresholds under climate change reveal key soil moisture buffering effects and CO2 mitigation potential. These findings provide evidence-based drought thresholds to guide adaptive management in dryland wheat cropping systems under climate change.
预测气候变化下澳大利亚东南部干旱引起的小麦产量损失阈值的变化
干旱是雨养小麦系统产量变异性的主要决定因素,气候变化预计会加剧缺水的频率和严重程度。然而,在量化(i)不同干旱指数的产量损失概率和(ii)不同气候情景下干旱导致产量损失的动态阈值方面,知识差距仍然存在。系统地量化这些关系对于改善水资源有限的农业系统中风险评估和适应性战略的经验基础至关重要。本研究利用APSIM模型和copula函数分析了澳大利亚东南部未来小麦产量损失概率和动态干旱阈值,并比较了土壤水分指数(SPAWI)和降水指数(SPI)。我们发现,基于spawi的干旱导致未来小麦产量损失的概率更高(比SPI高5-20%),这凸显了仅考虑降雨量的指数在干旱期间忽视土壤缓冲效应的局限性。由于土壤水分缓冲作用,SPAWI的干旱阈值高于SPI,而湿润地区的干旱阈值较低。包括CO2施肥增加了产量,部分抵消了干旱影响,降低了损失概率和阈值,而气候模式选择仍然是预测阈值变化的主要来源。我们的分析表明,干旱指数的选择影响了产量损失风险预测,气候变化下干旱产量阈值的量化变化揭示了关键的土壤水分缓冲效应和二氧化碳减排潜力。这些发现为指导气候变化下旱地小麦种植系统的适应性管理提供了基于证据的干旱阈值。
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来源期刊
CiteScore
10.30
自引率
9.70%
发文量
415
审稿时长
69 days
期刊介绍: Agricultural and Forest Meteorology is an international journal for the publication of original articles and reviews on the inter-relationship between meteorology, agriculture, forestry, and natural ecosystems. Emphasis is on basic and applied scientific research relevant to practical problems in the field of plant and soil sciences, ecology and biogeochemistry as affected by weather as well as climate variability and change. Theoretical models should be tested against experimental data. Articles must appeal to an international audience. Special issues devoted to single topics are also published. Typical topics include canopy micrometeorology (e.g. canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases), micrometeorological instrumentation (e.g., sensors for trace gases, flux measurement instruments, radiation measurement techniques), aerobiology (e.g. the dispersion of pollen, spores, insects and pesticides), biometeorology (e.g. the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology), forest-fire/weather interactions, and feedbacks from vegetation to weather and the climate system.
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