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The confluences of ideas leading to, and the flow of ideas emerging from, individual-based modeling of riverine fishes

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  • Jager, Henriette I.
  • DeAngelis, Donald L.

Abstract

In this review article, we trace the history of events leading to the development of individual-based models (IBMs) to represent aquatic organisms in rivers and streams. As a metaphor, we present this history as a series of confluences between individual scientists (tributaries) sharing ideas. We describe contributions of these models to science and management. One iconic feature of river IBMs is the linkage between flow and the physical habitat experienced by individual animals, and the first model that focused on this linkage is briefly described. We continue by reviewing the contributions of riverine IBMs to eight broad areas of scientific inquiry. The first four areas include research to understand 1) the effects of flow regimes on fish populations, 2) species interactions (e.g., size-mediated competition and predation), 3) fish movement and habitat selection, and 4) contaminant and water quality impacts on populations. Next, we review research using IBMs 5) to guide conservation biology of imperiled taxa through population viability analysis, including research 6) to understand river fragmentation by dams and reconnection, 7) to understand genetic outcomes for riverine metapopulations, and 8) to anticipate the future effects of temperature and climate change. This rich body of literature has contributed to both theoretical insights (e.g., about animal behavior and life history) and applied insights (e.g., population-level effects of flow regimes, temperature, and the effects of hydropower and other industries that share rivers with aquatic biota). We finish by exploring promising branches that lie ahead in the braided, downstream channel that represents future river modeling research.

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  • Jager, Henriette I. & DeAngelis, Donald L., 2018. "The confluences of ideas leading to, and the flow of ideas emerging from, individual-based modeling of riverine fishes," Ecological Modelling, Elsevier, vol. 384(C), pages 341-352.
  • Handle: RePEc:eee:ecomod:v:384:y:2018:i:c:p:341-352
    DOI: 10.1016/j.ecolmodel.2018.06.013
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    1. Piou, Cyril & Prévost, Etienne, 2012. "A demo-genetic individual-based model for Atlantic salmon populations: Model structure, parameterization and sensitivity," Ecological Modelling, Elsevier, vol. 231(C), pages 37-52.
    2. Strauss, Tido & Gabsi, Faten & Hammers-Wirtz, Monika & Thorbek, Pernille & Preuss, Thomas G., 2017. "The power of hybrid modelling: An example from aquatic ecosystems," Ecological Modelling, Elsevier, vol. 364(C), pages 77-88.
    3. Jager, Henriette I., 2014. "Thinking outside the channel: Timing pulse flows to benefit salmon via indirect pathways," Ecological Modelling, Elsevier, vol. 273(C), pages 117-127.
    4. Chaput-Bardy, A. & Fleurant, C. & Lemaire, C. & Secondi, J., 2009. "Modelling the effect of in-stream and overland dispersal on gene flow in river networks," Ecological Modelling, Elsevier, vol. 220(24), pages 3589-3598.
    5. Brito, Izabella de Andrade & López-Barrera, Ellie Anne & Araújo, Sabrina Borges Lino & Ribeiro, Ciro Alberto de Oliveira, 2017. "Modeling the exposure risk of the silver catfish Rhamdia quelen (Teleostei, Heptapteridae) to wastewater," Ecological Modelling, Elsevier, vol. 347(C), pages 40-49.
    6. Anderson, Kurt E. & Harrison, Lee R. & Nisbet, Roger M. & Kolpas, Allison, 2013. "Modeling the influence of flow on invertebrate drift across spatial scales using a 2D hydraulic model and a 1D population model," Ecological Modelling, Elsevier, vol. 265(C), pages 207-220.
    7. Neeson, Thomas M. & Wiley, Michael J. & Adlerstein, Sara A. & Riolo, Rick L., 2012. "How river network structure and habitat availability shape the spatial dynamics of larval sea lampreys," Ecological Modelling, Elsevier, vol. 226(C), pages 62-70.
    8. Anderson, James J. & Gurarie, Eliezer & Bracis, Chloe & Burke, Brian J. & Laidre, Kristin L., 2013. "Modeling climate change impacts on phenology and population dynamics of migratory marine species," Ecological Modelling, Elsevier, vol. 264(C), pages 83-97.
    9. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
    10. Giacomini, Henrique Corrêa & De Marco, Paulo & Petrere, Miguel, 2009. "Exploring community assembly through an individual-based model for trophic interactions," Ecological Modelling, Elsevier, vol. 220(1), pages 23-39.
    11. Pe’er, Guy & Kramer-Schadt, Stephanie, 2008. "Incorporating the perceptual range of animals into connectivity models," Ecological Modelling, Elsevier, vol. 213(1), pages 73-85.
    12. Piou, Cyril & Berger, Uta & Grimm, Volker, 2009. "Proposing an information criterion for individual-based models developed in a pattern-oriented modelling framework," Ecological Modelling, Elsevier, vol. 220(17), pages 1957-1967.
    13. Ayllón, Daniel & Railsback, Steven F. & Vincenzi, Simone & Groeneveld, Jürgen & Almodóvar, Ana & Grimm, Volker, 2016. "InSTREAM-Gen: Modelling eco-evolutionary dynamics of trout populations under anthropogenic environmental change," Ecological Modelling, Elsevier, vol. 326(C), pages 36-53.
    14. Romero-Gomez, Pedro & Richmond, Marshall C., 2014. "Simulating blade-strike on fish passing through marine hydrokinetic turbines," Renewable Energy, Elsevier, vol. 71(C), pages 401-413.
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