首页 | 本学科首页   官方微博 | 高级检索  
     


Modelling the spread in space and time of an airborne plant disease
Authors:Samuel Soubeyrand,Leonhard Held,Michael Hö  hle, Ivan Sache
Affiliation:INRA, Avignon, France, and Ludwig-Maximilians-Universität, Munich, Germany;
University of Zurich, Switzerland;
Ludwig-Maximilians-Universität, Munich, Germany;
INRA, Versailles-Grignon, France
Abstract:Summary.  A spatiotemporal model is developed to analyse epidemics of airborne plant diseases which are spread by spores. The observations consist of measurements of the severity of disease at different times, different locations in the horizontal plane and different heights in the vegetal cover. The model describes the joint distribution of the occurrence and the severity of the disease. The three-dimensional dispersal of spores is modelled by combining a horizontal and a vertical dispersal function. Maximum likelihood combined with a parametric bootstrap is suggested to estimate the model parameters and the uncertainty that is attached to them. The spatiotemporal model is used to analyse a yellow rust epidemic in a wheatfield. In the analysis we pay particular attention to the selection and the estimation of the dispersal functions.
Keywords:Botanical epidemiology    Disease occurrence    Disease severity    Dispersal function    Plant disease epidemic    Spatiotemporal model    Yellow rust of wheat
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号