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The goal of this important volume is to link management, evaluation, and conservation to modeling, estimation, and decision-making methods. Four major sections review these methods and applications in science-based conservation. Part I provides a methodological framework for quantifying and modeling field observations, with special emphasis on sampling design and analysis. Part II is a comprehensive framework for dynamic modeling of populations, with examples from familiar organisms and ecosystems. Part III addresses the estimation of population attributes with sampling data, focusing specifically on the use of count data to estimate population parameters. Part IV explains decision analysis and optimal management of populations.