Effects of individual, community, and landscape drivers on the dynamics of a wildland forest epidemic. Issue 3 (March 2016)

• Record Type: Journal Article
• Authors: Haas, Sarah E.; Hall Cushman, J.; Dillon, Whalen W.; Rank, Nathan E.; Rizzo, David M.; Meentemeyer, Ross K.
• Is Part Of: Ecology. Volume 97:Issue 3(2016)
• Page Start: 649
• Page End: 660
• Publication Date: 2016-03
• Subjects: diversity‐disease risk -- emerging infectious disease -- landscape epidemiology -- pathogen spillover -- Phytophthora ramorum -- sudden oak death -- seasonality -- survival analysis -- time‐varying covariate; Ecology -- Periodicals; Ecology -- Periodicals; Écologie -- Périodiques; Ecologie; Écologie; Écologie animale; Écologie végétale; Ecology; Periodicals; 577.05
• DOI: 10.1890/15-0767.1
• Languages: English
• ISSNs: 0012-9658

Abstract

Abstract: The challenges posed by observing host–pathogen–environment interactions across large geographic extents and over meaningful time scales limit our ability to understand and manage wildland epidemics. We conducted a landscape‐scale, longitudinal study designed to analyze the dynamics of sudden oak death (an emerging forest disease caused by Phytophthora ramorum ) across hierarchical levels of ecological interactions, from individual hosts up to the community and across the broader landscape. From 2004 to 2011, we annually assessed disease status of 732 coast live oak, 271 black oak, and 122 canyon live oak trees in 202 plots across a 275‐km 2 landscape in central California. The number of infected oak stems steadily increased during the eight‐year study period. A survival analysis modeling framework was used to examine which level of ecological heterogeneity best predicted infection risk of susceptible oak species, considering variability at the level of individuals (species identity, stem size), the community (host density, inoculum load, and species richness), and the landscape (seasonal climate variability, habitat connectivity, and topographic gradients). After accounting for unobserved risk shared among oaks in the same plot, survival models incorporating heterogeneity across all three levels better predicted oak infection than did models focusing on only one level. We show that larger oak trees (especially coast live oak) were more susceptible, and that interannual variability in inoculum production by the highly infectious reservoir host, California bay laurel, more strongly influenced disease risk than simply the density of this important host. Concurrently, warmer and wetter rainy‐season conditions in consecutive years intensified infection risk, presumably by creating a longer period of inoculum build‐up and increased probability of pathogen spillover from bay laurel to oaks. Despite the presence of many alternate host species, we found evidence of pathogen dilution, where less competent hosts in species‐rich communities reduce pathogen transmission and overall risk of oak infection. These results identify key parameters driving the dynamics of emerging infectious disease in California woodlands, while demonstrating how multiple levels of ecological heterogeneity jointly determine epidemic trajectories in wildland settings.