4.7 Article

Body size distributions signal a regime shift in a lake ecosystem

Journal

Publisher

ROYAL SOC
DOI: 10.1098/rspb.2016.0249

Keywords

palaeoecology; regime shift; climate change; thresholds; body size; resilience

Funding

  1. United States Geological Survey's John Wesley Powell Center for Analysis and Synthesis
  2. August T. Larsson Foundation of the Swedish University of Agricultural Sciences
  3. NSF's Integrative Graduate Education and Research Traineeship (IGERT) programme (NSF) [0903469]
  4. NSF's Sedimentary Geology and Palaeobiology programme (NSF) [1251678]
  5. Swedish Research Council VR [2014-5828]
  6. Swedish Research Council Formas [2014-1193]
  7. University of Nebraska
  8. National Research Council
  9. Directorate For Geosciences
  10. Division Of Earth Sciences [1251678] Funding Source: National Science Foundation
  11. Division Of Graduate Education
  12. Direct For Education and Human Resources [0903469] Funding Source: National Science Foundation

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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.

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