from Part III - Patterns and Processes
Published online by Cambridge University Press: 05 May 2015
Introduction
The thousands of studies on determinants and effects of top-down and bottom-up trophic forces (hereafter, TDBU) in aquatic and terrestrial communities include approaches that usually focus on specific scales; however, as a combined body of work, these studies span temporal scales from minutes to centuries and spatial scales from bench-top microcosms (cm3) to entire forests, lakes, or oceans (km3). How do empiricists synthesize this extensive literature and how do theorists calculate meaningful model parameters given these massive scale disparities? Levin (1992) argues that issues of scale are among the most important in ecology and perhaps all of the sciences, and there are both practical and theoretical reasons for using a variety of spatial and temporal scales in ecological studies. However, spatial and temporal scales are often ignored in syntheses of literature on trophic interactions. For example, a 4m2 plot and a 100 cm3 microcosm are the most appropriate scales for units of replication in experiments examining how arthropod foraging affects alpha diversity of primary producers in long leaf pine understories and ephemeral pool communities respectively, but these studies cannot in either case demonstrate population-level effects and should not be included in syntheses that examine top-down effects on beta diversity for entire forests or streams. In this chapter, we examine scaling issues associated with empirical studies of trophic interactions (for theoretical considerations, see Chapter 1, this volume).
We are interested in the extent to which processes and mechanisms observed at particular spatial and temporal scales are relevant for processes and patterns at other scales. To that end, we present examples of a concerted research effort with a model terrestrial system (ant-plants and associated rain forest communities), as well as multiple examples from freshwater and marine systems that have utilized a mix of experimental, observational, and modeling approaches across a continuum of spatial and temporal scales.
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