基于GIS的玉米品种种植灾害胁迫风险评价与区划制图方法研究

项目名称： 基于GIS的玉米品种种植灾害胁迫风险评价与区划制图方法研究

项目编号： No.41301084

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 天文学、地球科学

项目作者： 米春桥

作者单位： 怀化学院

项目金额： 25万元

中文摘要： 多样的玉米新品种和复杂的种植环境，加上剧烈频发的自然灾害，给品种精准推广种植造成了巨大困难，由此造成的品种灾害事故每年带来巨大的经济损失。本项目以GIS为技术平台，基于对品种抗逆性和环境灾害胁迫的充分认知，依据品种与环境互作匹配关系，研究面向应用环境的玉米品种种植灾害胁迫风险定量化评价与区划制图方法，是降低品种应用风险的重要手段。其研究特色为：建立具有农业物候特征的异时空插值方法提取面域环境胁迫值，解决普通插值法不能兼顾各地农事物候期相异的缺点；建立品种级别的灾害胁迫风险评价方法，解决作物级别的农业灾害评价不能应用于具体品种推广实践的问题；结合品种灾害胁迫区域分异规律和尺度空间理论，建立多尺度空间聚类算法作为区划制图的实现方法，解决面状要素聚类中空间相邻性与属性相似性的平衡问题。研究结果对降低新品种使用风险具有重要的现实意义，对深化与扩展地理信息科学新的研究领域具有重要的学术意义。

中文关键词： 玉米品种；灾害胁迫；风险评价；区划制图；

英文摘要： The large number of different new maize varieties, complicated planting environments, and severe frequent natural disasters cause great difficulties for precision application of different varieties, resulting in huge economic losses every year. In this project, base on full cognition of variety resistance and environment stress and the interaction between them, disaster stress risk assessment and regionalization mapping based on GIS will be studied for maize variety planting in target growing environments, by which the risk of variety application can be significantly reduced. The characteristics of this project include: a) a spatio-temporal interpolation method with agricultural phenology characteristics will be established, which can take into account the local farming phenology time when interpolating but common interpolation methods cannot; b) a variety-level disaster stress risk assessment method will be established, which can solve the problem that the crop-level agricultural disaster evaluation cannot guide the extension of a specific variety; c) combined with regional variation of variety disaster stress and scale-space theory, a multi-scale spatial clustering algorithm will be established as the method to realize regionalization mapping, whose clustering results have both space adjacency and attribute si

英文关键词： maize variety；disaster stress；risk evaluation；regionalization mapping；