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This volume is a compilation of current research papers on the aquatic ecosystem of the Miramichi River in New Brunswick. The papers are organized in four sections: historical overview, the physical environment, the biological environment, and evaluating human impacts. Specific topics of the papers include the estuarine structure of the river, hydrology of the drainage basin, plankton, diadromous fish, estuary sediments, forestry impacts, and biological indicators. The volume also includes a summary and selected abstracts from the Miramichi Environmental Science Workshop held in Newcastle in 1994.
Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian Modeling for Ecological Data gives readers a flexible and effective framework to learn about complex ecological processes from various sources of data. It also helps readers get started on building their own statistical models. The text begins with simple models that progressively become more complex and realistic through explanatory covariates and intermediate hidden states variables. When fitting the models to data, the authors gradually present the concepts and techniques of the Bayesian paradigm from a practical point of view using real case studies. They ...
This book collects the available knowledge about the ecology of Atlantic salmon and contemporary stock assessment methods supporting the specific task of establishing reference points. Bayesian approaches for incorporating uncertainty are front and centre in the book. Stock and recruitment analysis methods, transport of reference points, risk analysis and use of index measures of abundance are presented in a format which can be readily understood and applied by scientists, educators, professionals and undergraduate students.
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