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"This collection of review articles is devoted to the modeling of ecological, epidemiological and evolutionary systems. Theoretical mathematical models are perhaps one of the most powerful approaches available for increasing our understanding of the complex population dynamics in these natural systems. Exciting new techniques are currently being developed to meet this challenge, such as generalized or structural modeling, adaptive dynamics or multiplicative processes. Many of these new techniques stem from the field of nonlinear dynamics and chaos theory, where even the simplest mathematical rule can generate a rich variety of dynamical behaviors that bear a strong analogy to biological populations."
Population biology --- Ecology --- Epidemiology --- Genetics --- Biomathematics --- Mathematical models. --- Mathematical models --- mathematical models --- Population biology - Mathematical models --- Ecology - Mathematical models --- Epidemiology - mathematical models --- Genetics - Mathematical models
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Mathematical statistics --- Population biology --- Statistical methods --- Mathematical models --- Mathematical models. --- Statistical methods. --- ECO Ecology --- animals --- ecology --- methods --- population --- sampling --- statistical analysis --- Population biology - Statistical methods --- Population biology - Mathematical models
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Fishery management --- Population biology --- Wildlife management --- Renewable natural resources --- Mathematical models --- Management --- Fishery management - Mathematical models --- Population biology - Mathematical models --- Wildlife management - Mathematical models --- Renewable natural resources - Management - Mathematical models
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Population biology --- Ecology --- Mathematical models --- Mathematical models. --- Biomathematics. Biometry. Biostatistics --- General ecology and biosociology --- Population biology - Mathematical models --- Ecology - Mathematical models --- Dynamique des populations --- Ecologie --- Biologie --- Biostatistique --- Methodes statistiques
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Population biology --- Ecology --- Mathematical models --- Mathematics --- mathematical models --- Biologie des populations --- Ecologie --- Environnement --- Modèles mathématiques --- Mathématiques --- Mathematics. --- Population biology - Mathematical models --- Ecology - Mathematical models --- Population biology - Mathematics --- Ecology - Mathematics --- Mathematical models.
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Publisher's description: How can the future number of deer, agricultural pests, or cod be calculated based on the present number of individuals and their age distribution? How long will it take for a viral outbreak in a particular city to reach another city five hundred miles away? In addressing such basic questions, ecologists today are as likely to turn to complicated differential equations as to life histories--a dramatic change from thirty years ago. Population ecology is the mathematical backbone of ecology. Here, two leading experts provide the underlying quantitative concepts that all modern-day ecologists need. John Vandermeer and Deborah Goldberg show that populations are more than simply collections of individuals. Complex variables such as the size distribution of individuals and allotted territory for expanding groups come into play when mathematical models are applied. The authors build these models from the ground up, from first principles, using a much broader range of empirical examples--from plants to animals, from viruses to humans--than do standard texts. And they address several complicating issues such as age-structured populations, spatially distributed populations, and metapopulations. Beginning with a review of elementary principles, the book goes on to consider theoretical issues involving life histories, complications in the application of the core principles, statistical descriptions of spatial aggregation of individuals and populations as well as population dynamic models incorporating spatial information, and introductions to two-species interactions. Complemented by superb illustrations that further clarify the links between the mathematical models and biology, Population Ecology is the most straightforward and authoritative overview of the field to date. It will have broad appeal among undergraduates, graduate students, and practicing ecologists.
Population biology --- Ecology --- Mathematical models --- Mathematical models. --- Biologie des populations --- Ecologie --- Modèles mathématiques --- 574.3 --- 574.3 Populations and environment. Population dynamics --- Populations and environment. Population dynamics --- Population biology - Mathematical models --- Ecology - Mathematical models
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Until fairly recently, populations were handled as homogenized averages, which made modeling feasible but which ignored the essential fact that in any population there is a great variety of individuals of different ages, sizes, and degrees of fitness. Recently, because of the increased availability of affordable computer power, approaches have been developed which are able to recognize individual differences. Individual-based models are of great use in the areas of aquatic ecology, terrestrial ecology, landscape or physiological ecology, terrestrial ecology, landscape or physiological ecology, and agriculture.This book discusses which biological problems individual-based models can solve, as well as the models' inherent limitations. It explores likely future directions of theoretical development in these models, as well as currently feasible management applications and the best mathematical approaches and computer languages to use. The book also details specific applications to theory and management.
Population biology - Mathematical models - Congresses. --- Biotic communities - Mathematical models - Congresses. --- Ecology - Mathematical models - Congresses. --- Population biology - Research - Methodology - Congresses. --- Biotic communities - Research - Methodology - Congresses. --- Ecology - Research - Methodology - Congresses. --- Biotic communities --- Ecology --- Population biology --- Mathematical models --- Congresses. --- Research --- Methodology
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