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Variability and stability of a dragonfly assemblage.

P H Crowley1, D M Johnson2

  • 1Evolutionary Ecology Research Group, T.H. Morgan School of Biological Sciences, University of Kentucky, 40506, Lexington, KY, USA.

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|March 18, 2017
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Summary
This summary is machine-generated.

Dragonfly assemblages in Bays Mountain Lake show stability, with most dominant species persisting over 12 years. However, the complete 29-species assemblage may not be stable within this single lake ecosystem.

Keywords:
AttractionBoundednessDensity dependencePersistenceRank concordance

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Area of Science:

  • Ecology
  • Zoology
  • Entomology

Background:

  • Ecological stability is often defined by low variability and the capacity for rapid recovery from disturbances.
  • Assessing assemblage stability requires examining population dynamics, including density dependence, boundedness, and attraction.

Purpose of the Study:

  • To evaluate the variability and stability of the dragonfly assemblage in Bays Mountain Lake over a 12-year period.
  • To test predictions regarding assemblage stability, including taxon persistence, density constancy, and rank concordance.

Main Methods:

  • Analysis of 12 years of monthly sweep-net data for dragonfly assemblages.
  • Examination of larval population sizes for 13 dominant dragonfly taxa.
  • Statistical analysis of density dependence, boundedness, and attraction within the assemblage.

Main Results:

  • Most dominant dragonfly taxa persisted over the 12-year study period.
  • Dragonfly taxon densities exhibited variability comparable to other invertebrates but higher than terrestrial vertebrates.
  • High rank concordance (W=0.716) and detected density dependence suggest stability in dominant taxa.

Conclusions:

  • The assemblage of at least 11 of the 13 dominant dragonfly taxa at Bays Mountain Lake demonstrates low-to-moderate variability and stability.
  • The complete 29-species assemblage is likely not stable at the scale of this single lake.
  • Long-term descriptive analyses should be combined with experimental disturbance studies to fully understand ecological stability.