未来的气候变化将加强棉花生产,但也会带来巨大的环境成本——APSIM模型对新疆的关注

IF 9.7 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Journal of Cleaner Production Pub Date : 2025-02-01 DOI:10.1016/j.jclepro.2025.144803
Huiping Zhou , Jiabao Chen , Xiaowei Ding , Qihui Qin , Liebao Han
{"title":"未来的气候变化将加强棉花生产,但也会带来巨大的环境成本——APSIM模型对新疆的关注","authors":"Huiping Zhou ,&nbsp;Jiabao Chen ,&nbsp;Xiaowei Ding ,&nbsp;Qihui Qin ,&nbsp;Liebao Han","doi":"10.1016/j.jclepro.2025.144803","DOIUrl":null,"url":null,"abstract":"<div><div>Assessing the potential impacts of climate change on cotton production, water consumption and carbon emissions is crucial for reducing water allocations and carbon emissions, especially in Xinjiang, a major cotton-producing region of China with an arid climate and water scarcity. In this study, we used the process-based crop model Agricultural Production Systems sIMulator (APSIM) to simulate the spatial and temporal variability of cotton yield, water consumption (ET), irrigation water requirement (IWR), irrigation water productivity (IWP), global warming potential (GWP), and greenhouse gas intensity (GHGI) in Xinjiang, and to estimate the total amount of cotton yield, water demand, and carbon emissions in North Xinjiang (NXJ) and South Xinjiang (SXJ). The results showed that the lint cotton yield in Xinjiang benefited from elevated temperature and CO<sub>2</sub> levels under SSP245 and peaked at 2334 kg/ha in the 2060s (14.1% higher than that in the historical period), while the positive effect of elevated CO<sub>2</sub> levels was eliminated by the rapid increase in temperature under SSP585 and peaked at 2219 kg/ha in the 2050s (11.6% higher than that in the historical period). Compared with their levels in 1981–2020, the IWR, GWP, and GHGI increased by 4.3–5.6%, 38.5–41.6%, and 25.1–25.8%, respectively, by the 2050s–2060s under SSP245 and SSP585, thus posing great challenges for water resource and carbon emission reductions in Xinjiang. Cotton production in SXJ would reach 2.87–3.24 million tons, dominating that in Xinjiang (55.1–56.2%) by the middle to end of this century but would cost 0.76–0.92 billion m³ more for irrigation and 0.28–0.59 million tons CO<sub>2</sub> eq more for GWP than in NXJ. These results suggest that future cotton production in Xinjiang will be limited by water and environmental pressures, especially after the 2060s, and that controlling carbon emissions in all industries and slowing the warming process will contribute to the sustainable development of cotton.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"491 ","pages":"Article 144803"},"PeriodicalIF":9.7000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Future climate change will strengthen cotton production but have substantial environmental costs—A focus on Xinjiang by APSIM modelling\",\"authors\":\"Huiping Zhou ,&nbsp;Jiabao Chen ,&nbsp;Xiaowei Ding ,&nbsp;Qihui Qin ,&nbsp;Liebao Han\",\"doi\":\"10.1016/j.jclepro.2025.144803\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Assessing the potential impacts of climate change on cotton production, water consumption and carbon emissions is crucial for reducing water allocations and carbon emissions, especially in Xinjiang, a major cotton-producing region of China with an arid climate and water scarcity. In this study, we used the process-based crop model Agricultural Production Systems sIMulator (APSIM) to simulate the spatial and temporal variability of cotton yield, water consumption (ET), irrigation water requirement (IWR), irrigation water productivity (IWP), global warming potential (GWP), and greenhouse gas intensity (GHGI) in Xinjiang, and to estimate the total amount of cotton yield, water demand, and carbon emissions in North Xinjiang (NXJ) and South Xinjiang (SXJ). The results showed that the lint cotton yield in Xinjiang benefited from elevated temperature and CO<sub>2</sub> levels under SSP245 and peaked at 2334 kg/ha in the 2060s (14.1% higher than that in the historical period), while the positive effect of elevated CO<sub>2</sub> levels was eliminated by the rapid increase in temperature under SSP585 and peaked at 2219 kg/ha in the 2050s (11.6% higher than that in the historical period). Compared with their levels in 1981–2020, the IWR, GWP, and GHGI increased by 4.3–5.6%, 38.5–41.6%, and 25.1–25.8%, respectively, by the 2050s–2060s under SSP245 and SSP585, thus posing great challenges for water resource and carbon emission reductions in Xinjiang. Cotton production in SXJ would reach 2.87–3.24 million tons, dominating that in Xinjiang (55.1–56.2%) by the middle to end of this century but would cost 0.76–0.92 billion m³ more for irrigation and 0.28–0.59 million tons CO<sub>2</sub> eq more for GWP than in NXJ. These results suggest that future cotton production in Xinjiang will be limited by water and environmental pressures, especially after the 2060s, and that controlling carbon emissions in all industries and slowing the warming process will contribute to the sustainable development of cotton.</div></div>\",\"PeriodicalId\":349,\"journal\":{\"name\":\"Journal of Cleaner Production\",\"volume\":\"491 \",\"pages\":\"Article 144803\"},\"PeriodicalIF\":9.7000,\"publicationDate\":\"2025-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Cleaner Production\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0959652625001532\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ENVIRONMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cleaner Production","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0959652625001532","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0

摘要

评估气候变化对棉花生产、用水量和碳排放的潜在影响对于减少水资源配置和碳排放至关重要,特别是在中国干旱缺水的棉花主产区新疆。本研究利用基于过程的作物模型农业生产系统模拟器(APSIM)对新疆棉花产量、耗水量(ET)、灌溉需水量(IWR)、灌溉水分生产力(IWP)、全球变暖潜势(GWP)和温室气体强度(GHGI)的时空变化进行了模拟,并估算了北疆(NXJ)和南疆(SXJ)棉花产量、需水量和碳排放总量。结果表明,SSP245处理下新疆皮棉产量受益于升温和CO2水平的提高,在20世纪60年代达到峰值2334 kg/ha(比历史时期高14.1%),而SSP585处理下CO2水平升高的积极影响被快速升温所抵消,在21世纪50年代达到峰值2219 kg/ha(比历史时期高11.6%)。与1981 ~ 2020年相比,到2050 ~ 2060年,SSP245和SSP585条件下的IWR、GWP和GHGI分别增长了4.3 ~ 5.6%、38.5 ~ 41.6%和25.1 ~ 25.8%,给新疆水资源和碳减排带来了巨大挑战。到本世纪中后期,新疆省棉花产量将达到287 - 324万吨,超过新疆(55.1-56.2%),但灌溉成本将比新疆省多0.76-0.92亿m³,GWP将比新疆省多0.28-0.59万吨CO2当量。这些结果表明,未来新疆棉花生产将受到水资源和环境压力的限制,特别是在20世纪60年代以后,控制所有行业的碳排放和减缓全球变暖进程将有助于棉花的可持续发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Future climate change will strengthen cotton production but have substantial environmental costs—A focus on Xinjiang by APSIM modelling
Assessing the potential impacts of climate change on cotton production, water consumption and carbon emissions is crucial for reducing water allocations and carbon emissions, especially in Xinjiang, a major cotton-producing region of China with an arid climate and water scarcity. In this study, we used the process-based crop model Agricultural Production Systems sIMulator (APSIM) to simulate the spatial and temporal variability of cotton yield, water consumption (ET), irrigation water requirement (IWR), irrigation water productivity (IWP), global warming potential (GWP), and greenhouse gas intensity (GHGI) in Xinjiang, and to estimate the total amount of cotton yield, water demand, and carbon emissions in North Xinjiang (NXJ) and South Xinjiang (SXJ). The results showed that the lint cotton yield in Xinjiang benefited from elevated temperature and CO2 levels under SSP245 and peaked at 2334 kg/ha in the 2060s (14.1% higher than that in the historical period), while the positive effect of elevated CO2 levels was eliminated by the rapid increase in temperature under SSP585 and peaked at 2219 kg/ha in the 2050s (11.6% higher than that in the historical period). Compared with their levels in 1981–2020, the IWR, GWP, and GHGI increased by 4.3–5.6%, 38.5–41.6%, and 25.1–25.8%, respectively, by the 2050s–2060s under SSP245 and SSP585, thus posing great challenges for water resource and carbon emission reductions in Xinjiang. Cotton production in SXJ would reach 2.87–3.24 million tons, dominating that in Xinjiang (55.1–56.2%) by the middle to end of this century but would cost 0.76–0.92 billion m³ more for irrigation and 0.28–0.59 million tons CO2 eq more for GWP than in NXJ. These results suggest that future cotton production in Xinjiang will be limited by water and environmental pressures, especially after the 2060s, and that controlling carbon emissions in all industries and slowing the warming process will contribute to the sustainable development of cotton.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Cleaner Production
Journal of Cleaner Production 环境科学-工程:环境
CiteScore
20.40
自引率
9.00%
发文量
4720
审稿时长
111 days
期刊介绍: The Journal of Cleaner Production is an international, transdisciplinary journal that addresses and discusses theoretical and practical Cleaner Production, Environmental, and Sustainability issues. It aims to help societies become more sustainable by focusing on the concept of 'Cleaner Production', which aims at preventing waste production and increasing efficiencies in energy, water, resources, and human capital use. The journal serves as a platform for corporations, governments, education institutions, regions, and societies to engage in discussions and research related to Cleaner Production, environmental, and sustainability practices.
期刊最新文献
Efficiency and transcriptomic analysis reveal the mechanism of fermentation residue biochar and dosage on enhancing food waste high solid bioethanol fermentation Uncovering the impact mechanism and spatiotemporal evolution between farmland ecosystem health and optimal crop patterns Enhanced enzymatic digestibility of steam-exploded short rotation hardwood species Betula pendula and its potential for lactic acid production Saffron Price Dynamics in Iran: Influence of the Standardized Precipitation Index with Copula Functions Navigating trade-offs in design for sustainability and circularity: a tool for decision making leveraging narratives and multiple criteria decision analysis
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1