Models for the spread of white pine blister rust

Author:

Leung M.-R.,Kot M.

Funder

Achievement Rewards for College Scientists Foundation

National Science Foundation

Publisher

Elsevier BV

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modelling and Simulation,General Medicine,Statistics and Probability

Reference33 articles.

1. Allen, L.J.S., Ernest, R.K., 2002. The impact of long-range dispersal on the rate of spread in population and epidemic models. In: Castillo-Chavez, C., Blower, S., van den Driessche, P., Kirschner, D., Yakubu, A.A. (Eds.), Mathematical Approaches for Emerging and Reemerging Infectious Diseases: An Introduction. Springer, New York, NY. IMA Volumes in Mathematics and its Applications, pp. 183–197.

2. First report of Cronartium ribicola in North Dakota;Draper;Plant Dis.,1993

3. Eastham, J.W., 1922. Report of provincial plant pathologist, Vancouver. In: Province of British Columbia, Sixteenth Annual Report of the Department of Agriculture for the Year 1921. W.H. Cullin, Victoria, pp. 64–69.

4. Demographic projection of high-elevation white pines infected with white pine blister rust;Field;Ecol. Appl.,2012

5. Spore dispersal and plant disease gradients; a comparison between two empirical models;Fitt;J. Phytopathol.,1987

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