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中国农学通报 ›› 2015, Vol. 31 ›› Issue (9): 200-206.doi: 10.11924/j.issn.1000-6850.casb14120003

所属专题: 现代农业发展与乡村振兴 农业气象

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

DSSAT模型在中国农业与气候变化领域应用进展

陶生才,潘 婕,刘 珂   

  1. 酒泉市气象局,中国农业科学院农业环境与可持续发展研究所,水利部黄河水利委员会水文局
  • 收稿日期:2014-12-01 修回日期:2015-03-17 接受日期:2015-01-13 出版日期:2015-04-07 发布日期:2015-04-07
  • 通讯作者: 陶生才
  • 基金资助:
    甘肃省青年科技“基于区域气候模式PRECIS的甘肃区域极端气候事件模拟研究”(145RJYF274),“十二五”国家科技支撑计划课题“综合气候变化影响与风险时空格局评估技术”(2012BAC19B10)和酒泉市气象科技创新“酒泉市农业气象灾害监测评价指标体系研究”(201316-3)。

The Application Progress of DSSAT in Field of Agriculture and Climate Change in China

  • Received:2014-12-01 Revised:2015-03-17 Accepted:2015-01-13 Online:2015-04-07 Published:2015-04-07

摘要: 为了掌握农业转移支持决策系统(Decision Support System for Agrotechnology Transfer, DSSAT)模型在国内农业与气候变化领域的研究进展,更好地让模型在今后气候变化对农业生产影响评估和适应研究中应用,本文以近年来国内的研究和实践为基础,通过梳理模型应用的相关研究案例、方法和成果,从DSSAT 模型本地化适用性验证、数据库构建、参数订正和优化方案、气候变化影响评估及适应的应用等方面全面总结了模型的应用进展。结果表明:DSSAT模型在我国应用比较广泛,包括不同地区和不同作物之间;利用DSSAT模型研究气候变化对农业生产的影响的研究较多,研究结果比较丰富。但模型在应用中存在研究方法和结果比较分散、应用的作物种类有限、数据需求量大而实验数据有限等问题,这些都需要在今后的研究中不断完善解决。

关键词: 无土栽培, 无土栽培, 樱桃番茄, 植株性状, 数学模型

Abstract: In order to master the application progress of Decision Support System for Agrotechnology Transfer (DSSAT) in the field of agriculture and climate change research, better for the future model of the impact of climate change on the agricultural production in the assessment and adaptation should be used in the study, the paper research and the domestic practice as the foundation, through the relevant research case, methods and results of application of carding model, from the localization to verify the validity of DSSAT model, database construction, parameter correction and optimization scheme, climate change impact assessment and adaptation should be used comprehensively summarized the progress in the application of the model. The results show that: the DSSAT model has been widely applied in our country, including the different regions and different crops; more research by using DSSAT to study climate change model for agricultural production, the research result is rich. But the model in the application of existing research methods and results more decentralized, application of crop species Co., data needs abundant experimental data limited, these all need in future research and constantly improve the solution.