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Body size distributions signal a regime shift in a lake ecosystem

Overview of attention for article published in Proceedings of the Royal Society B: Biological Sciences, June 2016
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Title
Body size distributions signal a regime shift in a lake ecosystem
Published in
Proceedings of the Royal Society B: Biological Sciences, June 2016
DOI 10.1098/rspb.2016.0249
Pubmed ID
Authors

Trisha L. Spanbauer, Craig R. Allen, David G. Angeler, Tarsha Eason, Sherilyn C. Fritz, Ahjond S. Garmestani, Kirsty L. Nash, Jeffery R. Stone, Craig A. Stow, Shana M. Sundstrom

Abstract

Communities of organisms, from mammals to microorganisms, have discontinuous distributions of body size. This pattern of size structuring is a conservative trait of community organization and is a product of processes that occur at multiple spatial and temporal scales. In this study, we assessed whether body size patterns serve as an indicator of a threshold between alternative regimes. Over the past 7000 years, the biological communities of Foy Lake (Montana, USA) have undergone a major regime shift owing to climate change. We used a palaeoecological record of diatom communities to estimate diatom sizes, and then analysed the discontinuous distribution of organism sizes over time. We used Bayesian classification and regression tree models to determine that all time intervals exhibited aggregations of sizes separated by gaps in the distribution and found a significant change in diatom body size distributions approximately 150 years before the identified ecosystem regime shift. We suggest that discontinuity analysis is a useful addition to the suite of tools for the detection of early warning signals of regime shifts.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 <1%
Brazil 1 <1%
Unknown 105 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 20%
Student > Ph. D. Student 18 17%
Student > Master 16 15%
Student > Bachelor 6 6%
Student > Doctoral Student 5 5%
Other 14 13%
Unknown 27 25%
Readers by discipline Count As %
Environmental Science 31 29%
Agricultural and Biological Sciences 29 27%
Earth and Planetary Sciences 8 7%
Social Sciences 2 2%
Medicine and Dentistry 2 2%
Other 6 6%
Unknown 29 27%