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472 pages 13 tables. Complex Population Dynamics integrates theoretical and empirical studies into a major new synthesis of current knowledge about population dynamics. Tuberculosis (TB) is a leading cause of death globally. Population cycles and other complex population dynamics occur in a wide range of taxa and environments, including temperate and tropical forest insects, marine and freshwater fish and invertebrates, and boreal mammals. (ISBN 0-691-09021-1 ⦠The problem of inference is exacerbated when the mechanisms underlying population dynamics are complex and depend on many parameters. The problem of inference is exacerbated when the mechanisms underlying population dynamics are complex and depend on many parameters. Estimates of the coalescent effective population size N e can be poorly correlated with the true population size. The relationship between N e and the population size is sensitive to the way in which birth and death rates vary over time. Complex population dynamics have fascinated biologists for decades. The problem of inference is exacerbated when the mechanisms underlying population dynamics are complex and depend on many parameters. Peter Turchin. Princeton Monographs in Population Biology, Princeton, NJ, 2003, xvii + 450 pp. Authors Eleanor A Pardini 1 , John M Drake, Jonathan M Chase, Tiffany M Knight. Understanding the population dynamics of TB's causative agent Mycobacterium tuberculosis complex (Mtbc) in-host is vital for understanding the efficacy of antibiotic treatment. The relationship between N e and the population size is sensitive to the way in which birth and death rates vary over time. Estimates of the coalescent effective population size Ne can be poorly correlated with the true population size. Complex population dynamics and control of the invasive biennial Alliaria petiolata (garlic mustard) Ecol Appl. 2009 Mar;19(2):387-97. doi: 10.1890/08-0845.1. The relationship between Ne and the population size is sensitive to the way in which birth and death rates vary over time. Complex Population Dynamics: Nonlinear M: Nonlinear Modeling in Ecology, Epidemiology and Genetics Bernd Blasius, Bernd Blasius, Jurgen Kurths, Lewi Stone. Estimates of the coalescent effective population size N e can be poorly correlated with the true population size. By bringing together mathematical models, statistical analyses, and field experiments, this book offers a comprehensive new synthesis of the theory of population oscillations. Complex population dynamics have fascinated biologists for decades. It is also a pioneering work that sets the course for ecology's future as a predictive science. This collection of review articles is devoted to the modeling of ecological, epidemiological and evolutionary systems. 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