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Titlebook: Data-driven Modelling of Structured Populations; A Practical Guide to Stephen P. Ellner,Dylan Z. Childs,Mark Rees Book 2016 Springer Intern

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Budget Planning and Development individual state is not described by a single number .. Instead . can be multidimensional (age and size, size and disease state, etc.); it can use different attributes at different stages of the life cycle (e.g., age-structured and size-structured breeding adults, depth-structured seeds, and stage-
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Evaluation in Education and Human Servicesth evolution. Here we provide an overview of these methods showing how evolutionary dynamics and selection can be understood using IPMs. We show how selection can be approximated using sensitivities and how this leads to an approximation for trait dynamics. The endpoints of evolution – what we expec
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Basic Analyses 1: Demographic Measures and Events in the Life Cycle,ustrated how the familiar measures of population change (stable population structure, long-term growth rate, reproductive value, etc.) can be calculated from an IPM. But the kernels that comprise an IPM also describe how individuals change in size or other state variables over their lifetime. In thi
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