利用 LINTUL 方法模拟哈萨克斯坦阿拉木图东南部春大麦的气候变化情景

Aidana Sabitova, Gulnur Suleımanova, T. Kızıldeniz, A. Yetik
{"title":"利用 LINTUL 方法模拟哈萨克斯坦阿拉木图东南部春大麦的气候变化情景","authors":"Aidana Sabitova, Gulnur Suleımanova, T. Kızıldeniz, A. Yetik","doi":"10.34248/bsengineering.1445076","DOIUrl":null,"url":null,"abstract":"Barley stands as a cornerstone in agricultural landscape of Kazakhstan, weaving through diverse climate zones, and annually gracing over 1.5 million hectares. The intricate interplay between climate and food systems necessitates thorough analysis and strategic measures to food safety and nutritional security, as the evolving climate significantly influences both the quantity and quality of our food resources. This study aims to employ the LINTUL-MULTICROP Model to assess how spring barley adapts to both today’s climatic conditions and potential climate change scenarios to elevated levels of carbon dioxide and temperature under the specific conditions of southeast of Almaty. Three different global climate change models were studied (GCMs); i) GFDL-ESM2M, ii) HadGEM2-AO, and iii) MPI-ESM-MR for historical period (1986-2005) under RCP 4.5 and RCP 8.5 during the periods of i) 2040-2059 years scenarios, ii) 2060-2079 years scenarios, and iii) 2080-2099 years scenarios. Overall, the HADGEMAO and MPIESMMR models exhibited promising results in simulating yield, projecting an increase in spring barley yield for both RCP4.5 and RCP8.5 scenarios in GFDL-ESM2M model case also demonstrated stable increase in rainfed conditions. In conclusion, it should be noted that in the conditions of Kazakhstan, the cultivation of spring barley tends to change to growth in the southeast of Almaty.","PeriodicalId":495872,"journal":{"name":"Black sea journal of engineering and science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling Climate Change Scenarios for Spring Barley in Southeast of Almaty in Kazakhstan Using the LINTUL Approach\",\"authors\":\"Aidana Sabitova, Gulnur Suleımanova, T. Kızıldeniz, A. Yetik\",\"doi\":\"10.34248/bsengineering.1445076\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Barley stands as a cornerstone in agricultural landscape of Kazakhstan, weaving through diverse climate zones, and annually gracing over 1.5 million hectares. The intricate interplay between climate and food systems necessitates thorough analysis and strategic measures to food safety and nutritional security, as the evolving climate significantly influences both the quantity and quality of our food resources. This study aims to employ the LINTUL-MULTICROP Model to assess how spring barley adapts to both today’s climatic conditions and potential climate change scenarios to elevated levels of carbon dioxide and temperature under the specific conditions of southeast of Almaty. Three different global climate change models were studied (GCMs); i) GFDL-ESM2M, ii) HadGEM2-AO, and iii) MPI-ESM-MR for historical period (1986-2005) under RCP 4.5 and RCP 8.5 during the periods of i) 2040-2059 years scenarios, ii) 2060-2079 years scenarios, and iii) 2080-2099 years scenarios. Overall, the HADGEMAO and MPIESMMR models exhibited promising results in simulating yield, projecting an increase in spring barley yield for both RCP4.5 and RCP8.5 scenarios in GFDL-ESM2M model case also demonstrated stable increase in rainfed conditions. In conclusion, it should be noted that in the conditions of Kazakhstan, the cultivation of spring barley tends to change to growth in the southeast of Almaty.\",\"PeriodicalId\":495872,\"journal\":{\"name\":\"Black sea journal of engineering and science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Black sea journal of engineering and science\",\"FirstCategoryId\":\"0\",\"ListUrlMain\":\"https://doi.org/10.34248/bsengineering.1445076\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Black sea journal of engineering and science","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.34248/bsengineering.1445076","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

大麦是哈萨克斯坦农业景观的基石,在不同的气候区交织生长,每年种植面积超过 150 万公顷。气候与粮食系统之间错综复杂的相互作用要求对粮食安全和营养保障进行全面分析并采取战略措施,因为不断变化的气候对粮食资源的数量和质量都有重大影响。本研究旨在利用 LINTUL-MULTICROP 模型评估春大麦在阿拉木图东南部的特定条件下如何适应当今的气候条件以及二氧化碳和温度水平升高的潜在气候变化情景。研究了三种不同的全球气候变化模型(GCMs):i) GFDL-ESM2M;ii) HadGEM2-AO;iii) MPI-ESM-MR,在 RCP 4.5 和 RCP 8.5 条件下的历史时期(1986-2005 年),分别为 i) 2040-2059 年情景;ii) 2060-2079 年情景;iii) 2080-2099 年情景。总体而言,HADGEMAO 和 MPIESMMR 模型在模拟产量方面取得了可喜的成果,在 GFDL-ESM2M 模型的情况下,预测 RCP4.5 和 RCP8.5 情景下的春大麦产量都会增加,而且在雨水灌溉条件下产量也会稳定增加。总之,应该指出的是,在哈萨克斯坦的条件下,春大麦的种植趋向于向阿拉木图东南部的生长转变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling Climate Change Scenarios for Spring Barley in Southeast of Almaty in Kazakhstan Using the LINTUL Approach
Barley stands as a cornerstone in agricultural landscape of Kazakhstan, weaving through diverse climate zones, and annually gracing over 1.5 million hectares. The intricate interplay between climate and food systems necessitates thorough analysis and strategic measures to food safety and nutritional security, as the evolving climate significantly influences both the quantity and quality of our food resources. This study aims to employ the LINTUL-MULTICROP Model to assess how spring barley adapts to both today’s climatic conditions and potential climate change scenarios to elevated levels of carbon dioxide and temperature under the specific conditions of southeast of Almaty. Three different global climate change models were studied (GCMs); i) GFDL-ESM2M, ii) HadGEM2-AO, and iii) MPI-ESM-MR for historical period (1986-2005) under RCP 4.5 and RCP 8.5 during the periods of i) 2040-2059 years scenarios, ii) 2060-2079 years scenarios, and iii) 2080-2099 years scenarios. Overall, the HADGEMAO and MPIESMMR models exhibited promising results in simulating yield, projecting an increase in spring barley yield for both RCP4.5 and RCP8.5 scenarios in GFDL-ESM2M model case also demonstrated stable increase in rainfed conditions. In conclusion, it should be noted that in the conditions of Kazakhstan, the cultivation of spring barley tends to change to growth in the southeast of Almaty.
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
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信