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Population dynamics of the endangered Kemp’s ridley sea turtle following the 2010 oil spill in the Gulf of Mexico: Simulation of potential cause-effect relationships

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  • Kocmoud, Amanda R.
  • Wang, Hsiao-Hsuan
  • Grant, William E.
  • Gallaway, Benny J.

Abstract

The Kemp’s ridley (Lepidochelys kempii) is a critically endangered sea turtle that breeds nearly exclusively in the Gulf of Mexico, with scattered nesting along the U.S. Atlantic coast. In 2010, an unprecedented increase in strandings concomitant with a large oil spill in the northern Gulf raised concern about impacts on population recovery. We used several versions of an age-structured model representing hypothesized “pulse,” “press,” and “density-dependent remigration” effects of the 2010 mortality event to simulate post-2010 population dynamics. Only a “density-dependent remigration” version simulated population fluctuations observed from 2009 to 2014. Population dynamics projected through 2035 using this version indicated essentially exponential growth, with the simulated adult female population reaching ≈110,000 in 2035 (as indicated by nest counts at the index beach). Of most interest within a management context is the apparent resiliency of the population to large mortality events of short duration. Two important caveats to this statement are the assumptions that there has been no reduction of suitable habitats and that per capita availability of food resources is sufficient to support population recovery. Simulation results also provide insight into the myriad of potential responses of an age-structured population of long-lived animals to such events.

Suggested Citation

  • Kocmoud, Amanda R. & Wang, Hsiao-Hsuan & Grant, William E. & Gallaway, Benny J., 2019. "Population dynamics of the endangered Kemp’s ridley sea turtle following the 2010 oil spill in the Gulf of Mexico: Simulation of potential cause-effect relationships," Ecological Modelling, Elsevier, vol. 392(C), pages 159-178.
  • Handle: RePEc:eee:ecomod:v:392:y:2019:i:c:p:159-178
    DOI: 10.1016/j.ecolmodel.2018.11.014
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    References listed on IDEAS

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    1. Marn, Nina & Jusup, Marko & Legović, Tarzan & Kooijman, S.A.L.M. & Klanjšček, Tin, 2017. "Environmental effects on growth, reproduction, and life-history traits of loggerhead turtles," Ecological Modelling, Elsevier, vol. 360(C), pages 163-178.
    2. Leo, Jennifer P. & Minello, Thomas J. & Grant, William E. & Wang, Hsiao-Hsuan, 2016. "Simulating environmental effects on brown shrimp production in the northern Gulf of Mexico," Ecological Modelling, Elsevier, vol. 330(C), pages 24-40.
    3. Fuentes, M.M.P.B. & Porter, W.P., 2013. "Using a microclimate model to evaluate impacts of climate change on sea turtles," Ecological Modelling, Elsevier, vol. 251(C), pages 150-157.
    4. Piacenza, Susan E. & Richards, Paul M. & Heppell, Selina S., 2017. "An agent-based model to evaluate recovery times and monitoring strategies to increase accuracy of sea turtle population assessments," Ecological Modelling, Elsevier, vol. 358(C), pages 25-39.
    5. Tanioka, Tatsuro & Matsumoto, Katsumi, 2018. "Effects of incorporating age-specific traits of zooplankton into a marine ecosystem model," Ecological Modelling, Elsevier, vol. 368(C), pages 257-264.
    6. Clough, Jonathan S. & Blancher, Eldon C. & Park, Richard A. & Milroy, Scott P. & Graham, W. Monty & Rakocinski, Chet F. & Hendon, J. Read & Wiggert, Jerry D. & Leaf, Robert, 2017. "Establishing nearshore marine injuries for the Deepwater Horizon natural resource damage assessment using AQUATOX," Ecological Modelling, Elsevier, vol. 359(C), pages 258-268.
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    Cited by:

    1. Cristina Gutiérrez & Carmen Minuesa, 2020. "A Predator–Prey Two-Sex Branching Process," Mathematics, MDPI, vol. 8(9), pages 1-26, August.
    2. Scott, Rebecca L. & Putman, Nathan F. & Beyea, R.Taylor & Repeta, Hallie C. & Ainsworth, Cameron H., 2024. "Modeling transport and feeding of juvenile Kemp's ridley sea turtles on the West Florida shelf," Ecological Modelling, Elsevier, vol. 490(C).

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