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This chapter contains section titled: Introduction Synonyms History Distribution Host Range Etiology Epizootiology Clinical Signs Pathology Diagnosis Immunity Public Health Concerns Domestic Animal Health Concerns Wildlife Population Impacts Treatment and Control Management Implications Acknowlegements Literature Cited
This chapter contains section titled: Introduction Synonyms History and Distribution Host Range Etiology Epizootiology Clinical Signs Pathogenesis Pathology Diagnosis Immunity Public Health Concerns Domestic Animal Health Concerns Wildlife Population Impacts Treatment and Control Management Implications Unpublished Data/Personal Communications Literature Cited
This chapter contains section titled: Introduction Synonyms History Distribution Host Range Etiology Epizootiology Clinical Signs Pathogenesis Pathology Diagnosis Immunity Public Health Concerns Domestic Animal Health Concerns Wildlife Population Impacts Treatment and Control Management Implications Acknowledgements Literature Cited
This chapter contains section titled: Introduction History Distribution Host Range Etiology Epizootiology Clinical Signs and Pathology Diagnosis Immunity Public Health Concerns Domestic Animal Health Concerns Treatment and Control Management Implications Literature Cited
This chapter contains sections titled: Introduction Sources of Arsenic in the Environment Redox Cycling of Arsenic Effect of Organic Carbon on Arsenic Cycling Arsenic Sequestration: Precipitation and Adsorption Arsenic Mobilization: Sediment Diagenesis and Reductive Dissolution Case Study: Haiwee Reservoir Conclusions References
Advances in molecular techniques may soon provide new opportunities to provide more timely information on whether recreational beaches are free from fecal contamination. However, an alternative approach is the use of predictive models. This chapter presents a summary of these developing efforts. First, we describe documented physical, chemical, and biological factors that have been demonstrated by researchers to affect bacterial concentrations at beaches and thus represent logical parameters for inclusion in a model. Then, we illustrate how various types of models can be applied to predict water quality at freshwater and marine beaches.
No abstract available.
This chapter contains sections titled: Introduction Review of current knowledge Linking transport processes with the fluvial geomorphic template Forward-looking perspective Acknowledgements References
The potential contribution of migration towards the spread of disease is as varied as the ecology of the pathogens themselves and their host populations. This chapter outlines multiple examples of viral diseases in animal populations and their mechanisms of viral spread. Many species of insects, mammals, fish, and birds exhibit migratory behavior and have the potential to disperse diseases over long distances. The majority of studies available on viral zoonoses have focused on birds and bats, due to their highly migratory life histories. A number of studies have reported evidence of changes in the timing of animal migrations in response to climate change. The majority indicate an advancement of spring migration, with few or inconclusive results for fall migration. Predicting the combined effects of climate change on migratory patterns of host species and epidemiology of viral pathogens is complex and not fully realistic.
No abstract available.
Liana diversity is typically low in the temperate zones; however, the influx of non-native invasive liana species in North America has increased local diversity at the expense of native habitats and species. Some of the most illustrative studies of invasive lianas in temperate North America compared the biological traits of invasive lianas with native congeners or ecological analogs. The majority of these studies focused on two species, Celastrus orbiculatus (oriental bittersweet) and Lonicera japonica (Japanese honeysuckle). Temperate zone lianas generally have higher photosynthetic rates than other early successional species and their host trees. Invasive lianas are having an increasing impact on the dynamics and trajectories of North American plant communities. They often exhibit superior growth and survival compared to their native counterparts, and in some cases, invasive lianas may directly contribute to the decline of their native correlates.
Simultaneous autoregressive (SAR) models are useful for accommodating various forms of dependence among data that have discrete support in a space of interest. These models are often specified hierarchically as mixed-effects regression models with first-moment structure controlled by a conventional linear regression term and second-moment structure induced by correlated random effects. In their general form, SAR models resemble conditional autoregressive (CAR) models, and can be made equivalent but are often parameterized differently. Importantly, SAR models can be specified by simultaneously regressing a discrete spatial process on itself. Thus, they allow one to construct statistical models for processes with directional graphical properties that pertain to data generating mechanisms. Most commonly SAR models have been used to account for structure among data with areal spatial support in applications involving ecology, epidemiology, sociology, and environmental science.
Geary's contiguity ratio (i.e., Geary's c ) is used to measure spatial autocorrelation in data with discrete spatial support. Calculation of Geary's c depends on the observed spatial data and a set of dyadic weights that are generally defined based on the proximity of observations to each other, but can be generalized to accommodate geographic distances among observations and the lengths of shared boundaries for the regions from which the data arise. Geary's c can be used to test hypotheses about spatial autocorrelation under both parametric and nonparametric assumptions. Also, components of Geary's c can be used to assess how autocorrelation may vary throughout the spatial domain. We demonstrate the application of Geary's c to assess spatial structure in vegetation data arising from a survey in Alaska, USA, using two different approaches for defining proximity.
In sea-level studies, initial surveys at the office or library can increase a project’s likelihood of success. Pre-fieldwork surveys should begin with a thorough review of prior research literature that appraises available data, identifies data gaps, and places the project objectives into a broader scientific context. Whereas peer reviewed journal articles may contain a wealth of research findings, often the most useful maps, historical documents, images, and other data critical for sea-level research are discovered by searching government files, libraries, museums, unpublished reports, or, increasingly, online digital data collections.