Separating Macroecological Pattern and Process: Comparing Ecological, Economic, and Geological Systems
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journal.pone.0112850.PDF
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Affiliation
Sky School, University of ArizonaDepartment of Ecology and Evolutionary Biology, University of Arizona
Issue Date
2014-11-10
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Separating Macroecological Pattern and Process: Comparing Ecological, Economic, and Geological Systems 2014, 9 (11):e112850 PLoS ONEJournal
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© 2014 Blonder et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Theories of biodiversity rest on several macroecological patterns describing the relationship between species abundance and diversity. A central problem is that all theories make similar predictions for these patterns despite disparate assumptions. A troubling implication is that these patterns may not reflect anything unique about organizational principles of biology or the functioning of ecological systems. To test this, we analyze five datasets from ecological, economic, and geological systems that describe the distribution of objects across categories in the United States. At the level of functional form (‘first-order effects’), these patterns are not unique to ecological systems, indicating they may reveal little about biological process. However, we show that mechanism can be better revealed in the scale-dependency of first-order patterns (‘second-order effects’). These results provide a roadmap for biodiversity theory to move beyond traditional patterns, and also suggest ways in which macroecological theory can constrain the dynamics of economic systems.Description
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Open access journalISSN
1932-6203Version
Final published versionAdditional Links
http://dx.plos.org/10.1371/journal.pone.0112850ae974a485f413a2113503eed53cd6c53
10.1371/journal.pone.0112850
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Except where otherwise noted, this item's license is described as © 2014 Blonder et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License.

