Abstract
In this chapter, the authors consider how the various chapters in the book collectively contribute to ecological studies in the real world of large-scale, long-term phenomena. A framework is presented to describe how different types of analyses depend on the amount of data available and current knowledge about processes and underlying mechanisms. This theme of knowledge of process along with data as two inputs to ecological models is continued as the authors address general strategies for coping with constraints on sampling, replication, and control. Ultimately, the chapter argues that knowledge of process can, to a degree, be used as a substitute for data. The flexibility of modern analysis procedures permits a greater integration of process with data than up to this point, suggesting at least one way forward for the study of large-scale systems.
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We appreciate M. Nungesser, Matt Kirwan, and D. Drum for their comments on the early draft of the manuscript.
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Grace, J.B., Carstenn, S., Miao, S., Sindhøj, E. (2009). Ecology in the Real World: How Might We Progress?. In: Miao, S., Carstenn, S., Nungesser, M. (eds) Real World Ecology. Springer, New York, NY. https://doi.org/10.1007/978-0-387-77942-3_11
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DOI: https://doi.org/10.1007/978-0-387-77942-3_11
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