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Invasive species impacts on ecosystem structure and function: A comparison of the Bay of Quinte, Canada, and Oneida Lake, USA, before and after zebra mussel invasion

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  • Miehls, Andrea L. Jaeger
  • Mason, Doran M.
  • Frank, Kenneth A.
  • Krause, Ann E.
  • Peacor, Scott D.
  • Taylor, William W.

Abstract

As invasion rates of exotic species increase, an ecosystem level understanding of their impacts is imperative for predicting future spread and consequences. We have previously shown that network analyses are powerful tools for understanding the effects of exotic species perturbation on ecosystems. We now use the network analysis approach to compare how the same perturbation affects another ecosystem of similar trophic status. We compared food web characteristics of the Bay of Quinte, Lake Ontario (Canada), to previous research on Oneida Lake, New York (USA) before and after zebra mussel (Dreissena polymorpha) invasion. We used ecological network analysis (ENA) to rigorously quantify ecosystem function through an analysis of direct and indirect food web transfers. We used a social network analysis method, cohesion analysis (CA), to assess ecosystem structure by organizing food web members into subgroups of strongly interacting predators and prey. Together, ENA and CA allowed us to understand how food web structure and function respond simultaneously to perturbation. In general, zebra mussel effects on the Bay of Quinte, when compared to Oneida Lake, were similar in direction, but greater in magnitude. Both systems underwent functional changes involving focused flow through a small number of taxa and increased use of benthic sources of production; additionally, both systems structurally changed with subgroup membership changing considerably (33% in Oneida Lake) or being disrupted entirely (in the Bay of Quinte). However, the response of total ecosystem activity (as measured by carbon flow) differed between both systems, with increasing activity in the Bay of Quinte, and decreasing activity in Oneida Lake. Thus, these analyses revealed parallel effects of zebra mussel invasion in ecosystems of similar trophic status, yet they also suggested that important differences may exist. As exotic species continue to disrupt the structure and function of our native ecosystems, food web network analyses will be useful for understanding their far-reaching effects.

Suggested Citation

  • Miehls, Andrea L. Jaeger & Mason, Doran M. & Frank, Kenneth A. & Krause, Ann E. & Peacor, Scott D. & Taylor, William W., 2009. "Invasive species impacts on ecosystem structure and function: A comparison of the Bay of Quinte, Canada, and Oneida Lake, USA, before and after zebra mussel invasion," Ecological Modelling, Elsevier, vol. 220(22), pages 3182-3193.
    • Handle: RePEc:eee:ecomod:v:220:y:2009:i:22:p:3182-3193
    DOI: 10.1016/j.ecolmodel.2009.07.013
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    References listed on IDEAS

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    1. Kevin McCann & Alan Hastings & Gary R. Huxel, 1998. "Weak trophic interactions and the balance of nature," Nature, Nature, vol. 395(6704), pages 794-798, October.
    2. Ann E. Krause & Kenneth A. Frank & Doran M. Mason & Robert E. Ulanowicz & William W. Taylor, 2003. "Compartments revealed in food-web structure," Nature, Nature, vol. 426(6964), pages 282-285, November.
    3. Miehls, Andrea L. Jaeger & Mason, Doran M. & Frank, Kenneth A. & Krause, Ann E. & Peacor, Scott D. & Taylor, William W., 2009. "Invasive species impacts on ecosystem structure and function: A comparison of Oneida Lake, New York, USA, before and after zebra mussel invasion," Ecological Modelling, Elsevier, vol. 220(22), pages 3194-3209.
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    2. Salas, Andria K. & Borrett, Stuart R., 2011. "Evidence for the dominance of indirect effects in 50 trophic ecosystem networks," Ecological Modelling, Elsevier, vol. 222(5), pages 1192-1204.
    3. Kumar, Rajeev & Varkey, Divya & Pitcher, Tony, 2016. "Simulation of zebra mussels (Dreissena polymorpha) invasion and evaluation of impacts on Mille Lacs Lake, Minnesota: An ecosystem model," Ecological Modelling, Elsevier, vol. 331(C), pages 68-76.
    4. Borrett, S.R. & Freeze, M.A., 2011. "Reconnecting environs to their environment," Ecological Modelling, Elsevier, vol. 222(14), pages 2393-2403.
    5. Kazanci, Caner & Ma, Qianqian & Basheer, Aladeen Al & Azizi, Asma, 2023. "Resilience, indirect effects and cycling in ecological networks," Ecological Modelling, Elsevier, vol. 481(C).
    6. Borrett, S.R. & Freeze, M.A. & Salas, A.K., 2011. "Equivalence of the realized input and output oriented indirect effects metrics in Ecological Network Analysis," Ecological Modelling, Elsevier, vol. 222(13), pages 2142-2148.
    7. Colvin, Michael E. & Pierce, Clay L. & Stewart, Timothy W., 2015. "A food web modeling analysis of a Midwestern, USA eutrophic lake dominated by non-native Common Carp and Zebra Mussels," Ecological Modelling, Elsevier, vol. 312(C), pages 26-40.
    8. Schaubroeck, Thomas & Staelens, Jeroen & Verheyen, Kris & Muys, Bart & Dewulf, Jo, 2012. "Improved ecological network analysis for environmental sustainability assessment; a case study on a forest ecosystem," Ecological Modelling, Elsevier, vol. 247(C), pages 144-156.
    9. Colomer, M. Àngels & Margalida, Antoni & Sanuy, Delfí & Pérez-Jiménez, Mario J., 2011. "A bio-inspired computing model as a new tool for modeling ecosystems: The avian scavengers as a case study," Ecological Modelling, Elsevier, vol. 222(1), pages 33-47.
    10. Borrett, S.R. & Salas, A.K., 2010. "Evidence for resource homogenization in 50 trophic ecosystem networks," Ecological Modelling, Elsevier, vol. 221(13), pages 1710-1716.

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