Assessment of Climate Change Impact on Water Requirement and Rice Productivity

IF 5.6 2区 农林科学 Q1 AGRONOMY
Konan Jean-Yves N’guessan , Botou Adahi , Arthur-Brice Konan-Waidhet , Satoh Masayoshi , Nogbou Emmanuel Assidjo
{"title":"Assessment of Climate Change Impact on Water Requirement and Rice Productivity","authors":"Konan Jean-Yves N’guessan ,&nbsp;Botou Adahi ,&nbsp;Arthur-Brice Konan-Waidhet ,&nbsp;Satoh Masayoshi ,&nbsp;Nogbou Emmanuel Assidjo","doi":"10.1016/j.rsci.2023.03.010","DOIUrl":null,"url":null,"abstract":"<div><p>Assessing the impact of climate change (CC) on agricultural production systems is mainly done using crop models associated with climate model outputs. This review is one of the few, with the main objective of providing a recent compendium of CC impact studies on irrigation needs and rice yields for a better understanding and use of climate and crop models. We discuss the strengths and weaknesses of climate impact studies on agricultural production systems, with a particular focus on uncertainty and sensitivity analyses of crop models. Although the new generation global climate models (GCMs) are more robust than previous ones, there is still a need to consider the effect of climate uncertainty on estimates when using them. Current GCMs cannot directly simulate the agro-climatic variables of interest for future irrigation assessment, hence the use of intelligent climate tools. Therefore, sensitivity and uncertainty analyses must be applied to crop models, especially for their calibration under different conditions. The impacts of CC on irrigation needs and rice yields vary across regions, seasons, varieties and crop models. Finally, integrated assessments, the use of remote sensing data, climate smart tools, CO<sub>2</sub> enrichment experiments, consideration of changing crop management practices and multi-scale crop modeling, seem to be the approaches to be pursued for future climate impact assessments for agricultural systems.</p></div>","PeriodicalId":56069,"journal":{"name":"Rice Science","volume":"30 4","pages":"Pages 276-293"},"PeriodicalIF":5.6000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Rice Science","FirstCategoryId":"1091","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1672630823000410","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 1

Abstract

Assessing the impact of climate change (CC) on agricultural production systems is mainly done using crop models associated with climate model outputs. This review is one of the few, with the main objective of providing a recent compendium of CC impact studies on irrigation needs and rice yields for a better understanding and use of climate and crop models. We discuss the strengths and weaknesses of climate impact studies on agricultural production systems, with a particular focus on uncertainty and sensitivity analyses of crop models. Although the new generation global climate models (GCMs) are more robust than previous ones, there is still a need to consider the effect of climate uncertainty on estimates when using them. Current GCMs cannot directly simulate the agro-climatic variables of interest for future irrigation assessment, hence the use of intelligent climate tools. Therefore, sensitivity and uncertainty analyses must be applied to crop models, especially for their calibration under different conditions. The impacts of CC on irrigation needs and rice yields vary across regions, seasons, varieties and crop models. Finally, integrated assessments, the use of remote sensing data, climate smart tools, CO2 enrichment experiments, consideration of changing crop management practices and multi-scale crop modeling, seem to be the approaches to be pursued for future climate impact assessments for agricultural systems.

气候变化对需水量和水稻生产力影响的评估
评估气候变化对农业生产系统的影响主要是利用与气候模型输出相关联的作物模型来完成的。本综述是为数不多的综述之一,其主要目的是提供一份关于灌溉需求和水稻产量的CC影响研究的最新概要,以便更好地了解和利用气候和作物模型。我们讨论了气候影响研究对农业生产系统的优势和劣势,特别关注作物模型的不确定性和敏感性分析。尽管新一代全球气候模式(GCMs)比以前的模式更稳健,但在使用它们时仍需要考虑气候不确定性对估算的影响。目前的gcm不能直接模拟未来灌溉评估感兴趣的农业气候变量,因此需要使用智能气候工具。因此,必须对作物模型进行敏感性和不确定性分析,特别是在不同条件下对作物模型进行校准。CC对灌溉需求和水稻产量的影响因地区、季节、品种和作物模式而异。最后,综合评估、利用遥感数据、气候智能工具、二氧化碳富集实验、考虑改变作物管理做法和多尺度作物建模,似乎是未来农业系统气候影响评估的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Rice Science
Rice Science Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
8.90
自引率
6.20%
发文量
55
审稿时长
40 weeks
期刊介绍: Rice Science is an international research journal sponsored by China National Rice Research Institute. It publishes original research papers, review articles, as well as short communications on all aspects of rice sciences in English language. Some of the topics that may be included in each issue are: breeding and genetics, biotechnology, germplasm resources, crop management, pest management, physiology, soil and fertilizer management, ecology, cereal chemistry and post-harvest processing.
×
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