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Dr. B.T. (Ben) Martin

Faculty of Science
Institute for Biodiversity and Ecosystem Dynamics
Visiting address
  • Science Park 904
Postal address
  • Postbus 94240
    1090 GE Amsterdam
Contact details
  • Profile

    I am Benjamin Martin an Assistant Professor at the Department of Theoretical and Computational Ecology at the University of Amsterdam. This is my University research page. Here you can find information on my previous and current research.

    Google scholar profile
  • Publications

    2021

    • Apgar, T. M., Merz, J. E., Martin, B. T., & Palkovacs, E. P. (2021). Alternative migratory strategies are widespread in subyearling Chinook salmon. Ecology of Freshwater Fish, 30(1), 125-139. https://doi.org/10.1111/eff.12570
    • FitzGerald, A. M., John, S. N., Apgar, T. M., Mantua, N. J., & Martin, B. T. (2021). Quantifying thermal exposure for migratory riverine species: Phenology of Chinook salmon populations predicts thermal stress. Global Change Biology, 27(3), 536-549. https://doi.org/10.1111/gcb.15450 [details]

    2020

    • Hein, A. M., & Martin, B. T. (2020). Information limitation and the dynamics of coupled ecological systems. Nature Ecology & Evolution, 4(1), 82-90. https://doi.org/10.1038/s41559-019-1008-x [details]
    • Hein, A. M., Altshuler, D. L., Cade, D. E., Liao, J. C., Martin, B. T., & Taylor, G. K. (2020). An Algorithmic Approach to Natural Behavior. Current Biology, 30(11), R663-R675. https://doi.org/10.1016/j.cub.2020.04.018 [details]
    • Martin, B. T., Dudley, P. N., Kashef, N. S., Stafford, D. M., Reeder, W. J., Tonina, D., Del Rio, A. M., Scott Foott, J., & Danner, E. M. (2020). The biophysical basis of thermal tolerance in fish eggs. Proceedings of the Royal Society B: Biological Sciences, 287(1937), [20201550]. https://doi.org/10.1098/rspb.2020.1550 [details]

    2019

    • Friedman, W. R., Martin, B. T., Wells, B. K., Warzybok, P., Michel, C. J., Danner, E. M., & Lindley, S. T. (2019). Modeling composite effects of marine and freshwater processes on migratory species. Ecosphere, 10(7), [e02743]. https://doi.org/10.1002/ecs2.2743
    • Hamda, N. T., Martin, B., Poletto, J. B., Cocherell, D. E., Fangue, N. A., Van Eenennaam, J., Mora, E. A., & Danner, E. (2019). Applying a simplified energy-budget model to explore the effects of temperature and food availability on the life history of green sturgeon (Acipenser medirostris). Ecological Modelling, 395, 1-10. https://doi.org/10.1016/j.ecolmodel.2019.01.005

    2018

    • Martin, B. T., Munch, S. B., & Hein, A. M. (2018). Reverse-engineering ecological then from data. Proceedings of the Royal Society B-Biological Sciences, 285(1878). https://doi.org/10.1098/rspb.2018.0422
    • Poletto, J. B., Martin, B., Danner, E., Baird, S. E., Cocherell, D. E., Hamda, N., Cech, J. J., & Fangue, N. A. (2018). Assessment of multiple stressors on the growth of larval green sturgeon Acipenser medirostris: implications for recruitment of early life-history stages. Journal of Fish Biology, 93(5), 952-960. https://doi.org/10.1111/jfb.13805

    2017

    • Martin, B. T., Heintz, R., Danner, E. M., & Nisbet, R. M. (2017). Integrating lipid storage into general representations of fish energetics. Journal of Animal Ecology, 86(4), 812-825. https://doi.org/10.1111/1365-2656.12667
    • Martin, B. T., Pike, A., John, S. N., Hamda, N., Roberts, J., Lindley, S. T., & Danner, E. M. (2017). Phenomenological vs. biophysical models of thermal stress in aquatic eggs. Ecology Letters, 20(1), 50-59. https://doi.org/10.1111/ele.12705

    2016

    • Martin, B. T., Czesny, S., Wahl, D. H., & Grimm, V. (2016). Scale-dependent role of demography and dispersal on the distribution of populations in heterogeneous landscapes. Oikos, 125(5), 667-673. https://doi.org/10.1111/oik.02345
    • Nisbet, R. M., Martin, B. T., & de Roos, A. M. (2016). Integrating ecological insight derived from individual-based simulations and physiologically structured population models. Ecological Modelling, 326, 101-112. https://doi.org/10.1016/j.ecolmodel.2015.08.013 [details]

    2015

    • Fiechter, J., Huff, D. D., Martin, B. T., Jackson, D. W., Edwards, C. A., Rose, K. A., ... Wells, B. K. (2015). Environmental conditions impacting juvenile Chinook salmon growth off central California: An ecosystem model analysis. Geophysical Research Letters, 42(8), 2910-2917. https://doi.org/10.1002/2015GL063046
    • Martin, B. T., Nisbet, R. M., Pike, A., Michel, C. J., & Danner, E. M. (2015). Sport science for salmon and other species: ecological consequences of metabolic power constraints. Ecology Letters, 18(6), 535-544. https://doi.org/10.1111/ele.12433

    2014

    • Grimm, V., Augusiak, J., Focks, A., Frank, B. M., Gabsi, F., Johnston, A. S. A., Liu, C., Martin, B. T., Meli, M., Radchuk, V., Thorbek, P., & Railsback, S. F. (2014). Towards better modelling and decision support: Documenting model development, testing, and analysis using TRACE. Ecological Modelling, 280, 129-139. https://doi.org/10.1016/j.ecolmodel.2014.01.018
    • Jager, T., Barsi, A., Hamda, N. T., Martin, B. T., Zimmer, E. I., & Ducrot, V. (2014). Dynamic energy budgets in population ecotoxicology: Applications and outlook. Ecological Modelling, 280, 140-147. https://doi.org/10.1016/j.ecolmodel.2013.06.024
    • Martin, B., Jager, T., Nisbet, R. M., Preuss, T. G., & Grimm, V. (2014). Limitations of extrapolating toxic effects on reproduction to the population level. Ecological Applications, 24(8), 1972-1983. https://doi.org/10.1890/14-0656.1

    2013

    • Grimm, V., & Martin, B. T. (2013). Mechanistic effect modeling for ecological risk assessment: where to go from here? Integrated Environmental Assessment and Management, 9(3), e58-e63. https://doi.org/10.1002/ieam.1423
    • Jager, T., Martin, B. T., & Zimmer, E. I. (2013). DEBkiss or the quest for the simplest generic model of animal life history. Journal of Theoretical Biology, 328, 9-18. https://doi.org/10.1016/j.jtbi.2013.03.011
    • Martin, B. T., Jager, T., Nisbet, R. M., Preuss, T. G., & Grimm, V. (2013). Predicting Population Dynamics from the Properties of Individuals: A Cross-Level Test of Dynamic Energy Budget Theory. American Naturalist, 181(4), 506-519. https://doi.org/10.1086/669904
    • Martin, B. T., Jager, T., Nisbet, R. M., Preuss, T. G., Hammers-Wirtz, M., & Grimm, V. (2013). Extrapolating ecotoxicological effects from individuals to populations: a generic approach based on Dynamic Energy Budget theory and individual-based modeling. Ecotoxicology, 22(3), 574-583. https://doi.org/10.1007/s10646-013-1049-x
    • Sibly, R. M., Grimm, V., Martin, B. T., Johnston, A. S. A., Kulakowska, K., Topping, C. J., ... DeAngelis, D. L. (2013). Representing the acquisition and use of energy by individuals in agent-based models of animal populations. Methods in Ecology and Evolution, 4(2), 151-161. https://doi.org/10.1111/2041-210x.12002

    2012

    • Martin, B. T., Zimmer, E. I., Grimm, V., & Jager, T. (2012). Dynamic Energy Budget theory meets individual-based modelling: a generic and accessible implementation. Methods in Ecology and Evolution, 3(2), 445-449. https://doi.org/10.1111/j.2041-210X.2011.00168.x

    2022

    • FitzGerald, A. & Martin, B. (2022). Quantification of thermal impacts across freshwater life stages to improve temperature management for anadromous salmonids. DRYAD. https://doi.org/10.5061/dryad.cjsxksn7b

    2021

    • FitzGerald, A., Boughton, D., Fuller, J., John, S., Martin, B., Harrison, L. & Mantua, N. (2021). Physical and biological constraints on the capacity for life-history expression of anadromous salmonids: an Eel River, California, case study. DRYAD. https://doi.org/10.5061/dryad.ksn02v74x

    2020

    • FitzGerald, A., John, S., Apgar, T., Mantua, N. & Martin, B. (2020). Quantifying thermal exposure for migratory riverine species: phenology of Chinook salmon populations predicts thermal stress. DRYAD. https://doi.org/10.5061/dryad.n5tb2rbtq
    • Martin, B. T., Dudley, P. N., Stafford, D. M., Reeder, W. J., Tonina, D., Danner, E. M., Kashef, N. S., Del Rio, A. M. & Scott Foott, F. J. (2020). Supplementary material from "The biophysical basis of thermal tolerance in fish eggs". The Royal Society. https://doi.org/10.6084/m9.figshare.c.5170545.v1
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