Developing a decision support tool for the steppe zone of Ghom-Iran,by implementing a state and transition model within a bayesian belief network

摘要：

Introduction Although State and Transition Models (STM) provide a description of rangeland dynamics,the typical descriptive flowcharts and associated catalogue of states and transitions lack practical application.They also handle uncertainty associated with transitions poorly.It is therefore clear that a mechanism is needed to convert these models into predictive models that can accommodate uncertainty associated with the nature of transitions.

关键词： qualitative knowledge state and transition model Bayesian Belief Network Iran

作者: H.Bashari C.S.Smith O.J.H.Bosch

作者单位: Faculty of Natural Resources,the University of Tehran,Karaj,Iran

会议类型: 国际会议

会议名称: 2008世界草地与草原大会

会议地点: 呼和浩特

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）