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The modern ecologist usually works in both the field and laboratory, uses statistics and computers, and often works with ecological concepts that are model-based, if not model-driven. How do we make the field and laboratory coherent? How do we link models and data? How do we use statistics to help experimentation? How do we integrate modeling and statistics? How do we confront multiple hypotheses with data and assign degrees of belief to different hypotheses? How do we deal with time series (in which data are linked from one measurement to the next) or put multiple sources of data into one inferential framework? These are the kinds of questions asked and answered by this book in which Hilborn and Mangel investigate ecological data much as a detective would investigate a crime scene by trying different hypotheses until a coherent picture emerges.
`This book is full of practical, intellectually sophisticated advice [and] is a signal contribution...to the field', Robert D. Holt, Professor of Systematics and Ecology, University of Kansas