Estimating future climate change impacts on wheat yield and water demand in Xinjiang, Northwest China using the DSSAT-CERES-Wheat model

IF 7.7 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Xuehui Gao, Jian Liu, Yue Wen, Haixia Lin, Yonghui Liang, Mengjie Liu, Zhenpeng Zhou, Jinzhu Zhang, Zhenhua Wang
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Abstract

Climate change is challenging to maintain and increase crop production in environmentally sensitive regions. The assessment of climate change’s impact on Chinese wheat production is needed for irrigated farming to maintain wheat self-sufficiency and assure future food demand. We assessed future trends in wheat yield, biomass, and crop evapotranspiration (ETc) in arid northwest China using the calibrated DSSAT-CERES-Wheat model and daily climate data based on projections made by six global climate models under two representative concentration pathways (SSP245 and SSP585) of greenhouse gas emissions. Forecasts indicated a gradual increase in both temperature and precipitation for the region, depicting a discernible shift towards a warmer and wetter climate. Subsequent findings suggested that, in comparison with the baseline period (1991–2020), climate change was anticipated to shorten the winter wheat growing season. The anthesis date was expected to come earlier by an average of 1–20 days under SSP245 and 2–34 days under SSP585. Similarly, the date of physiological maturity under SSP245 and SSP585 was expected to come earlier by an average of 1–13 days and 2–23 days, respectively. Irrigated winter wheat grain yield and aboveground biomass were projected to increase over time, with increases ranging from 12 % to 32 % and from 14 % to 25 %, respectively. The modeling results further suggested that the optimum irrigation amount for the study area would be 329 mm during the baseline period, and that irrigation demand in the future could be reduced by 18.9–27.7 % compared with the baseline period. Our findings will help policymakers and agricultural stakeholders adapt to climate change, ensuring optimal wheat production from this region’s irrigated cropping systems.
基于DSSAT-CERES-Wheat模型估算未来气候变化对新疆小麦产量和需水量的影响
气候变化对环境敏感地区维持和增加作物产量具有挑战性。评估气候变化对中国小麦生产的影响是灌溉农业维持小麦自给自足和确保未来粮食需求的必要条件。利用DSSAT-CERES-Wheat模型和基于6个全球气候模型在两种代表性温室气体排放浓度路径(SSP245和SSP585)下预测的日气候数据,对中国西北干旱地区小麦产量、生物量和作物蒸散量(ETc)的未来趋势进行了评估。预报显示,该地区的气温和降水都在逐渐增加,气候明显向更温暖、更湿润的方向转变。随后的研究结果表明,与基线期(1991-2020年)相比,预计气候变化将缩短冬小麦生长季节。SSP245和SSP585的平均花期分别提前1 ~ 20天和2 ~ 34天。同样,SSP245和SSP585的生理成熟期预计平均分别提前1-13天和2-23天。灌溉冬小麦籽粒产量和地上生物量预计会随着时间的推移而增加,增幅分别在12%至32%和14%至25%之间。模型结果进一步表明,基线期研究区最佳灌水量为329 mm,未来灌溉需求较基线期可减少18.9 ~ 27.7%。我们的研究结果将有助于政策制定者和农业利益相关者适应气候变化,确保该地区灌溉种植系统的最佳小麦产量。
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来源期刊
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture 工程技术-计算机:跨学科应用
CiteScore
15.30
自引率
14.50%
发文量
800
审稿时长
62 days
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.
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