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. 2015 Mar 5;8(4):385–402. doi: 10.1111/eva.12251

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© 2015 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd.

This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Patterns of pathogen diversity. The different plots represent different conditions in the proportion covered by the wild host and the pathogen dispersal ability: (A) high proportion of wild host (q = 10%) and low pathogen dispersal (distM^P = 2.5%); (B) high proportion of wild host (q = 10%) and high pathogen dispersal (distM^P = 25%); (C) low proportion of wild host (q = 2.5%) and low pathogen dispersal (distM^P = 2.5%); and (D) low proportion of wild host (q = 2.5%) and high pathogen dispersal (distM^P = 25%). These graphs represent the prediction of multinomial logistic regression models fitted to the simulated data set.