摘要
本研究在前期研发阿拉善荒漠区啮齿动物群落专家系统的基础上,对开垦、轮牧和过牧3种不同类型生境中啮齿动物优势种子午沙鼠(Meriones meridianus)、三趾跳鼠(Dipus sagitta)和小毛足鼠(Phodopus roborovskii)相对数量与8个不同植物因子动态关系进行定量非线性分析,借助MapGIS平台,利用3种优势啮齿动物种群相对数量与8个不同植物因子组成的数据库系统、3种优势啮齿动物种的图像信息组成的知识库系统、3种不同生境下19种不同生态模型组成的模型库系统,构成啮齿动物群落中种群相对数量与植物因子动态关系的推理机,通过程序设计语言VB(Visual Basic)进行MapGIS二次开发,在专家系统中予以设计并实现。
Building on previous research and development of the rodent community expert system in the Alashan desert area,we analyzed the relative quantity of Meriones meridianus, Dipus sagitta, and Phodopus roborovskii in three different types of habitats(reclamation, rotation grazing and overgrazing) as well as the dynamic relationships(both quantitative and nonlinear) of eight different plant factors. We utilized the MapGIS platform with eight plant factors and three dominant rodents in three habitats, and a database system composed of population data, a knowledge base system composed of image information of three dominant species of rodents, and a model library system composed of 19 ecological models in three habitats, so as to form an inference engine for the dynamic relationship between the relative number of populations in the rodent community and plant factors. The MapGIS was developed using the programming language VB(Visual Basic) and was designed and applied in the expert system.
作者
高宏伟
周艳秋
满都呼
付和平
李明
付江锋
GAO Hongwei;ZHOU Yanqiu;Manduhu;FU Heping;LI Ming;FU Jiangfeng(Vocational and Technical College of Inner Mongolia Agricultural University,Baotou 014109,Inner Mongolia,China;College of Grassland,Resources and Environment,Inner Mongolia Agricultural University,Hohhot 010011,Inner Mongolia,China;College of Life Science,Inner Mongolia Agricultural University,Hohhot 010011,Inner Mongolia,China)
出处
《草业科学》
CAS
CSCD
北大核心
2021年第8期1626-1637,共12页
Pratacultural Science
基金
内蒙古自然科学基金(2019MS03012、2018MS03014)
国家自然科学基金(31772667、31560669、31602003)
内蒙古农业大学科技成果转化专项(YZGC2017026)
内蒙古沿黄区域智慧农业关键技术研发和应用(2020GG0033)
内蒙古哲学社会科学规划项目(2020NDB009)。
关键词
啮齿动物
荒漠区
非线性生态模型
群落
专家系统
推理机
生境
rodents
desert area
nonlinear ecological model
fauna
expert system
inference engine
habitat