16 research outputs found
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Influence of Host Resistance on the Genetic Structure of the White Pine Blister Rust Fungus in the Western United States
Tree growth declines and mortality were associated with a parasitic plant during warm and dry climatic conditions in a temperate coniferous forest ecosystem
Variability in and Environmental Correlates to White Pine Blister Rust Incidence in Five California White Pine Species
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Modelling disease spread and control in networks: implications for plant sciences
Networks are ubiquitous in natural, technological and social systems. They are of increasing relevance for improved understanding and control of infectious diseases of plants, animals and humans, given the interconnectedness of today's world. Recent modelling work on disease development in complex networks shows: the relative rapidity of pathogen spread in scale-free compared with random networks, unless there is high local clustering; the theoretical absence of an epidemic threshold in scale-free networks of infinite size, which implies that diseases with low infection rates can spread in them, but the emergence of a threshold when realistic features are added to networks (e.g. finite size, household structure or deactivation of links); and the influence on epidemic dynamics of asymmetrical interactions. Models suggest that control of pathogens spreading in scale-free networks should focus on highly connected individuals rather than on mass random immunization. A growing number of empirical applications of network theory in human medicine and animal disease ecology confirm the potential of the approach, and suggest that network thinking could also benefit plant epidemiology and forest pathology, particularly in human-modified pathosystems linked by commercial transport of plant and disease propagules. Potential consequences for the study and management of plant and tree diseases are discussed
Regeneration Niche of Whitebark Pine in the Canadian Rocky Mountains: The Basis to Restoring an Endangered Species
Cumulative Risk, Emotion Dysregulation, and Adjustment in South African Youth
Research on cumulative risk is growing, however, little work has occurred in low- or middle-income countries, and few studies have focused on processes linking risk to outcomes. This study explored relations between components of cumulative risk and adjustment in a sample of 324 South African youth (M age = 13.11 years; SD = 1.54 years; 65% female; 56% Black/African; 14% Colored; 23% Indian; 7% White), and tested competing models of emotion dysregulation as a mediator or moderator of risk-adjustment links. Data was collected from youth and their female caregivers during home interviews. Structural equation models and regression analyses accounting for age and sex contributions revealed that emotion dysregulation mediated associations between sociodemographic risk and internalizing symptoms, externalizing problem behavior, and drug use severity, and moderated links between psychosocial risk and internalizing symptoms and externalizing problem behavior. For the mediator models, sociodemographic risk was associated with impaired emotion regulation, which in turn was linked with heightened adjustment difficulties. For the moderator models, psychosocial risk was linked with adjustment problems only when emotion dysregulation was high. These data indicate the importance of disentangling components of cumulative risk. Future research within the South African cultural context might build on these findings by adapting and testing school- or family-based prevention or intervention programs that include modules on emotion regulation