Nature Communications (Mar 2016)

Including trait-based early warning signals helps predict population collapse

  • Christopher F. Clements,
  • Arpat Ozgul

DOI
https://doi.org/10.1038/ncomms10984
Journal volume & issue
Vol. 7, no. 1
pp. 1 – 8

Abstract

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Predicting population collapse by monitoring key early warning signals in time-series data may highlight when interventions are needed. Here, the authors show that including information on phenotypic traits like body size can more accurately predict critical transitions than abundance data alone.