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Nest-site selection influences offspring sex ratio in green turtles, a species with temperature-dependent sex determination

Author

Listed:
  • L. Heredero Saura

    (Goldring-Gund Marine Biology Station
    Universidad Complutense de Madrid)

  • L. Jáñez-Escalada

    (Universidad Complutense de Madrid)

  • J. López Navas

    (Goldring-Gund Marine Biology Station)

  • K. Cordero

    (Goldring-Gund Marine Biology Station)

  • P. Santidrián Tomillo

    (Goldring-Gund Marine Biology Station
    GEDA, Institut Mediterrani d’Estudis Avançats (CSIC-UIB))

Abstract

Climate change threatens species with temperature-dependent sex determination as further warming could result in extremely biased sex ratios or offspring of only one sex. Among the possible adaptations of sea turtles to climate change, are behavioral responses toward nesting in cooler areas. We analyzed nesting patterns of East Pacific green turtles (Chelonia mydas) in Costa Rica to determine the occurrence of nest-site selection and how this could influence primary sex ratios (PSR). Green turtles exhibited nest-site repeatability. Nests placed by the same individual were generally closer (mean distance: 237.4 m) than other nests on the beach (mean distance: 411.0 m) and this repeatability was maintained in different nesting seasons. Additionally, turtles tended to place late nests closer to each other than their early nests, suggesting an adjusting nesting behavior throughout the nesting season. A great majority of nests were placed in the vegetation (80.9%) and within this zone, turtles preferred nesting under trees (78%) than in grass areas (28%), where temperatures were cooler and PSR were less female biased. Mean nest temperature (°C) during the thermosensitive period and mean PSR were 30.7 ± 1.2 °C and 79 ± 4%, respectively. Most years were female-biased or extremely female-biased but there was approximately one male-biased year in the decade. Although many nests produced 100% females, some male hatchlings were produced every year, even during the extreme 2015–2016 El Niño event. The preference of green turtles for nesting in shaded areas could help to mitigate the negative impacts of climate change unless temperatures in shaded areas rose above the male producing temperatures.

Suggested Citation

  • L. Heredero Saura & L. Jáñez-Escalada & J. López Navas & K. Cordero & P. Santidrián Tomillo, 2022. "Nest-site selection influences offspring sex ratio in green turtles, a species with temperature-dependent sex determination," Climatic Change, Springer, vol. 170(3), pages 1-20, February.
    • Handle: RePEc:spr:climat:v:170:y:2022:i:3:d:10.1007_s10584-022-03325-y
    DOI: 10.1007/s10584-022-03325-y
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    References listed on IDEAS

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    1. M. Fuentes & M. Fish & J. Maynard, 2012. "Management strategies to mitigate the impacts of climate change on sea turtle’s terrestrial reproductive phase," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 17(1), pages 51-63, January.
    2. Carbon, Claus-Christian, 2013. "BiDimRegression: Bidimensional Regression Modeling Using R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 52(c01).
    3. P. Santidrián Tomillo & L. G. Fonseca & M. Ward & N. Tankersley & N. J. Robinson & C. M. Orrego & F. V. Paladino & V. S. Saba, 2020. "The impacts of extreme El Niño events on sea turtle nesting populations," Climatic Change, Springer, vol. 159(2), pages 163-176, March.
    4. Vasiliki Almpanidou & Eleni Katragkou & Antonios D. Mazaris, 2018. "The efficiency of phenological shifts as an adaptive response against climate change: a case study of loggerhead sea turtles (Caretta caretta) in the Mediterranean," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(7), pages 1143-1158, October.
    5. Waldo R. Tobler, 1965. "Computation Of The Correspondence Of Geographical Patterns," Papers in Regional Science, Wiley Blackwell, vol. 15(1), pages 131-139, January.
    6. H.G. Hidalgo & E.J. Alfaro & B. Quesada-Montano, 2017. "Observed (1970–1999) climate variability in Central America using a high-resolution meteorological dataset with implication to climate change studies," Climatic Change, Springer, vol. 141(1), pages 13-28, March.
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