Increasingly, ecosystem management and restoration efforts require understanding ecological processes that occur at large temporal and spatial scales. These phenomena are difficult to study using traditional statistical approaches that require randomization, replication, and control conditions. This book presents nine case studies highlighting new quantitative tools that scientists can apply to the design and analysis of large-scale, long-term experiments. Each case study identifies inherent constraints posed by traditional experimental tools and then suggests solutions that match appropriate novel experimental designs and analyses to the research questions. A conceptual framework has emerged from these studies relating spatial and temporal scales of scientific questions to methods, available data, and current knowledge about processes and mechanisms. This book provides invaluable guidance to ecologists who conceptualize, design, analyze, and synthesize real world ecological research.
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From the reviews: "Real World Ecology begins by examining the limitations of many of the older ecological methods for interpreting large scale systems of complex spatial and temporal variability. The editors point out the variety of new techniques that have been proposed, with varying degrees of success. ... Overall there is a great deal of useful material in this book ... . it certainly ought to be in the libraries of all teaching and research groups on ecology." (Janet Sprent, Bulletin of the British Ecological Society, Vol. 41 (1), March, 2010)