Population dynamics of wetland fishes: spatio-temporal patterns synchronized by hydrological disturbance?

Authors

  • CARL R. RUETZ III,

    Corresponding author
    1. Annis Water Resources Institute, Grand Valley State University, 740 West Shoreline Drive, Muskegon, Michigan 49441 USA;
      Carl R. Ruetz III, Annis Water Resources Institute, Grand Valley State University, 740 West Shoreline Drive, Muskegon, Michigan 49441, USA. Tel: 616 331 3946; Fax: 616 331 3864; E-mail: cruetz@sigmaxi.org
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  • JOEL C. TREXLER,

    1. Department of Biological Sciences, Florida International University, Miami, Florida 33199, USA;
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  • FRANK JORDAN,

    1. Department of Biological Sciences, Loyola University, New Orleans, Louisiana 70118, USA,
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  • WILLIAM F. LOFTUS,

    1. US Geological Survey, Florida Integrated Science Center, Center for Watershed and Restoration Studies, Everglades National Park Field Station, Homestead, Florida 33034, USA
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  • SUE A. PERRY

    1. Natural Resources Center, Everglades National Park, 40001 State Road 9336, Homestead, Florida 33034, USA
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Carl R. Ruetz III, Annis Water Resources Institute, Grand Valley State University, 740 West Shoreline Drive, Muskegon, Michigan 49441, USA. Tel: 616 331 3946; Fax: 616 331 3864; E-mail: cruetz@sigmaxi.org

Summary

  • 1Drought is a natural disturbance that can cause widespread mortality of aquatic organisms in wetlands. We hypothesized that seasonal drying of marsh surfaces (i.e. hydrological disturbance) shapes spatio-temporal patterns of fish populations.
  • 2We tested whether population dynamics of fishes were synchronized by hydrological disturbance (Moran effect) or distance separating study sites (dispersal). Spatio-temporal patterns were examined in local populations of five abundant species at 17 sites (sampled five times per year from 1996 to 2001) in a large oligotrophic wetland.
  • 3Fish densities differed significantly across spatio-temporal scales for all species. For all species except eastern mosquitofish (Gambusia holbrooki), a significant portion of spatio-temporal variation in density was attributed to drying events (used as a covariate).
  • 4We observed three patterns of response to hydrological disturbance. Densities of bluefin killifish (Lucania goodei), least killifish (Heterandria formosa), and golden topminnow (Fundulus chrysotus) were usually lowest after a dry down and recovered slowly. Eastern mosquitofish showed no distinct response to marsh drying (i.e. they recovered quickly). Flagfish (Jordanella floridae) density was often highest after a dry down and then declined. Population growth after a dry down was often asymptotic for bluefin killifish and golden topminnow, with greatest asymptotic density and longest time to recovery at sites that dried infrequently.
  • 5Fish population dynamics were synchronized by hydrological disturbance (independent of distance) and distance separating study sites (independent of hydrological disturbance). Our ability to separate the relative importance of the Moran effect from dispersal was strengthened by a weak association between hydrological synchrony and distance among study sites. Dispersal was the primary mechanism for synchronous population dynamics of flagfish, whereas hydrological disturbance was the primary mechanism for synchronous population dynamics of the other species examined.
  • 6Species varied in the relative role of the Moran effect and dispersal in homogenizing their population dynamics, probably as a function of life history and ability to exploit dry-season refugia.

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