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 the effects of flow regimes on fish populations, species interactions (e.g., size-mediated competition and predation), fish movement and habitat selection, and contaminant and water quality impacts on populations. Next, we review research using IBMs to guide conservation biology of imperiled taxa through population viability analysis, including research to understand river fragmentation by dams and reconnection, to understand genetic outcomes for riverine metapopulations, and 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). Lastly, we finish by exploring promising branches that lie ahead in the braided, downstream channel that represents future river modeling research.
Jager, Henriette I. and DeAngelis, Donald L.. "The confluences of ideas leading to, and the flow of ideas emerging from, individual-based modeling of riverine fishes." Ecological Modelling, vol. 384, no. C, Jul. 2018. https://doi.org/10.1016/j.ecolmodel.2018.06.013
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, 384(C). https://doi.org/10.1016/j.ecolmodel.2018.06.013
Jager, Henriette I., and DeAngelis, Donald L., "The confluences of ideas leading to, and the flow of ideas emerging from, individual-based modeling of riverine fishes," Ecological Modelling 384, no. C (2018), https://doi.org/10.1016/j.ecolmodel.2018.06.013
@article{osti_1461059,
author = {Jager, Henriette I. and DeAngelis, Donald L.},
title = {The confluences of ideas leading to, and the flow of ideas emerging from, individual-based modeling of riverine fishes},
annote = {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 the effects of flow regimes on fish populations, species interactions (e.g., size-mediated competition and predation), fish movement and habitat selection, and contaminant and water quality impacts on populations. Next, we review research using IBMs to guide conservation biology of imperiled taxa through population viability analysis, including research to understand river fragmentation by dams and reconnection, to understand genetic outcomes for riverine metapopulations, and 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). Lastly, we finish by exploring promising branches that lie ahead in the braided, downstream channel that represents future river modeling research.},
doi = {10.1016/j.ecolmodel.2018.06.013},
url = {https://www.osti.gov/biblio/1461059},
journal = {Ecological Modelling},
issn = {ISSN 0304-3800},
number = {C},
volume = {384},
place = {United States},
publisher = {Elsevier},
year = {2018},
month = {07}}