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Modelling the spatial dynamics of Maui dolphins using individual-based models

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  • de Jager, Monique
  • Hengeveld, Geerten M.
  • Mooij, Wolf M.
  • Slooten, Elisabeth

Abstract

The current anthropogenic impacts on nature necessitate more research for nature conservation and restoration purposes. To answer ecological and conservation questions concerning endangered species, individual-based modelling is an obvious choice. Individual-based models can provide reliable results that may be used to predict the effects of different future conservation strategies, once calibrated correctly. Here, we calibrate an individual-based model of Maui dolphin movement, which generates Maui dolphin probability distribution maps. We used sighting data for calibration of the chosen parameter combinations; for each simulation run, collected simulated data was compared to the empirical survey data, resulting in cost (Badness-of-Fit) estimates. Using costs of four different aspects of dolphin behaviour, we estimated the most likely parameter combinations. With optimized parameter values, Maui dolphin probability distribution maps were created, resulting in distributions that fall well outside of the current protection zones where either gillnets or trawling or both are prohibited. With these results, protected areas can be properly adjusted to the estimated distribution of this critically endangered species and so aid in their conservation.

Suggested Citation

  • de Jager, Monique & Hengeveld, Geerten M. & Mooij, Wolf M. & Slooten, Elisabeth, 2019. "Modelling the spatial dynamics of Maui dolphins using individual-based models," Ecological Modelling, Elsevier, vol. 402(C), pages 59-65.
  • Handle: RePEc:eee:ecomod:v:402:y:2019:i:c:p:59-65
    DOI: 10.1016/j.ecolmodel.2019.04.009
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    1. Nabe-Nielsen, Jacob & Sibly, Richard M. & Tougaard, Jakob & Teilmann, Jonas & Sveegaard, Signe, 2014. "Effects of noise and by-catch on a Danish harbour porpoise population," Ecological Modelling, Elsevier, vol. 272(C), pages 242-251.
    2. van der Vaart, Elske & Beaumont, Mark A. & Johnston, Alice S.A. & Sibly, Richard M., 2015. "Calibration and evaluation of individual-based models using Approximate Bayesian Computation," Ecological Modelling, Elsevier, vol. 312(C), pages 182-190.
    3. Guus ten Broeke & George van Voorn & Arend Ligtenberg, 2016. "Which Sensitivity Analysis Method Should I Use for My Agent-Based Model?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(1), pages 1-5.
    4. Jan C. Thiele & Winfried Kurth & Volker Grimm, 2014. "Facilitating Parameter Estimation and Sensitivity Analysis of Agent-Based Models: A Cookbook Using NetLogo and 'R'," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(3), pages 1-11.
    5. MacPherson, Brian & Gras, Robin, 2016. "Individual-based ecological models: Adjunctive tools or experimental systems?," Ecological Modelling, Elsevier, vol. 323(C), pages 106-114.
    6. Cash, David & Clark, William & Alcock, Frank & Dickson, Nancy & Eckley, Noelle & Jager, Jill, 2002. "Salience, Credibility, Legitimacy and Boundaries: Linking Research, Assessment and Decision Making," Working Paper Series rwp02-046, Harvard University, John F. Kennedy School of Government.
    7. 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.
    8. van der Vaart, Elske & Johnston, Alice S.A. & Sibly, Richard M., 2016. "Predicting how many animals will be where: How to build, calibrate and evaluate individual-based models," Ecological Modelling, Elsevier, vol. 326(C), pages 113-123.
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