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A framework to assess evolutionary responses to anthropogenic light and sound

  • John P. Swaddle
  • , Clinton Francis
  • , Jesse Barber
  • , Caren Cooper
  • , Christopher Kyba
  • , Davide Dominoni
  • , Graeme Shannon
  • , Erik Aschehoug
  • , Sarah Goodwin
  • , Akito Kawahara
  • , David Luther
  • , Kamiel Spoelstra
  • , Margaret Voss
  • , Travis Longcore
    • College of William and Mary, Virginia
    • California Polytechnic State University
    • Boise State University, ID
    • North Carolina Museum of Natural Sciences
    • Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin
    • University of Glasgow
    • North Carolina State University
    • University of Massachusetts Amherst
    • University of Florida
    • George Mason University, Fairfax
    • Netherlands Institute of Ecology, Wageningen
    • Syracuse University
    • Colorado State University
    • University of Southern California

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Human activities have caused a near-ubiquitous and evolutionarily-unprecedented increase in environmental sound levels and artificial night lighting. These stimuli reorganize communities by interfering with species-specific perception of time-cues, habitat features, and auditory and visual signals. Rapid evolutionary changes could occur in response to light and noise, given their magnitude, geographical extent, and degree to which they represent unprecedented environmental conditions. We present a framework for investigating anthropogenic light and noise as agents of selection, and as drivers of other evolutionary processes, to influence a range of behavioral and physiological traits such as phenological characters and sensory and signaling systems. In this context, opportunities abound for understanding contemporary and rapid evolution in response to human-caused environmental change.
    Original languageEnglish
    Pages (from-to)550-560
    JournalTrends in Ecology and Evolution
    Volume30
    Issue number9
    Early online date10 Jul 2015
    DOIs
    Publication statusPublished - 1 Sept 2015

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