{"title":"Estimating future climate change impacts on wheat yield and water demand in Xinjiang, Northwest China using the DSSAT-CERES-Wheat model","authors":"Xuehui Gao, Jian Liu, Yue Wen, Haixia Lin, Yonghui Liang, Mengjie Liu, Zhenpeng Zhou, Jinzhu Zhang, Zhenhua Wang","doi":"10.1016/j.compag.2025.110604","DOIUrl":null,"url":null,"abstract":"<div><div>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 (ET<sub>c</sub>) 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.</div></div>","PeriodicalId":50627,"journal":{"name":"Computers and Electronics in Agriculture","volume":"237 ","pages":"Article 110604"},"PeriodicalIF":7.7000,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Electronics in Agriculture","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168169925007100","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
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.
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.