Automated system for laboratory simulation of a thermal gradient for studies with marine organisms

Authors

  • Gilberto González-Soriano Programa de Acuicultura. Centro de Investigaciones Biológicas del Noroeste, S.C. La Paz, BCS, México https://orcid.org/0009-0004-0815-4837
  • Rosa Isela Vázquez Sánchez Programa de Acuicultura. Centro de Investigaciones Biológicas del Noroeste, S.C. La Paz, BCS, México https://orcid.org/0009-0004-2434-9204
  • Salvador Lluch-Cota Centro de Investigaciones Biológicas del Noroeste
  • Carlos Pacheco Ayub Programa de Ecología Pesquera. Centro de Investigaciones Biológicas del Noroeste, S.C. La Paz, BCS, México https://orcid.org/0009-0002-9619-8500

DOI:

https://doi.org/10.33936/at.v6i2.6715

Keywords:

Thermal preference, behavior, technological development

Abstract

The design and operation tests of a thermal gradient simulation system for studying temperature preferences in marine benthic organisms are reported. The system consists of a glass fiber tank divided into an experimental channel flanked by distal sections where extreme gradient temperatures are controlled by cooling or heating with the support of heat pumps. The system is automated in terms of temperature control and recording and features an image acquisition module with a high-resolution camera and a relay controller that allows the air pump to be turned off and light lamps to be lit just before taking the photographs. The system was challenged to evaluate its efficiency. The results indicated that 1) high aeration along the entire experimental channel allows not only the maintenance of oxygen saturation conditions in the tank, but also a better response of the thermal gradient, 2) that the efficiency of the gradient is greater at smaller depths of the system and acceptable at 15 cm, 3) that from homogeneous conditions the system takes approximately 30 h to stabilize the gradient, 4) that on average the system reaches within the experimental canal a 60% of the programmed gradient in the heat pumps, and 5) that once established the system is successful maintaining the gradient for long periods (weeks) still under experimental conditions with manipulation and water replacement. Opportunities for improving the system are discussed, including increasing the experimental units, incorporation of sensors for the autonomous registration of other water quality indicators, as well as in the image acquisition system, and the monitoring and observation of organisms and their responses.

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References

Calderón-Gurrola G.I. (2024). Estudio del desplazamiento del abulón azul (Haliotis fulgens) ante condiciones ambientales adversas. Tesis de Doctorado, Universidad Autónoma de Baja California Sur, La Paz, México.

Díaz F., Re A.D., Galindo-Sánchez C.E., Carpizo-Ituarte E., Pérez-Carrasco L., González M., Licea A., Sánchez A., Rosas C. (2017). Preferred Temperature, Critical Thermal Maximum, and Metabolic Response of the Black Sea Urchin Arbacia stellata (Blainville, 1825; Gmelin, 1791). Journal of Shellfish Research 36(1): 219-225. https://doi.org/10.2983/035.036.0124.

García-Ávila M., Islas L.D. (2019) What is new about mild temperature sensing? A review of recent findings. Temperature 6(2): 132-141. http://doi.10.1080/23328940.2019.1607490

Gvozdík L. (2015). Mismatch between ectotherm thermal preferenda and optima for swimming: a test of the evolutionary pace hypothesis. Evolutionary Biology 42: 137–145. https://doi.org/10.1007/s11692-015-9305-z

Hui T.Y., Crickenberger S., Lau, J.W.T., Williams G.A. (2022). Why are ‘suboptimal’ temperatures preferred in a tropical intertidal ectotherm? Journal of Animal Ecology 91(7): 1400-1415. https://doi.org/10.1111/1365-2656.13690

Jensen J.L.W.V. (1906). Sur les fonctions convexes et les inégalités entre les valeurs moyennes. Acta Mathematica 30(1): 175–193. http://doi:10.1007/BF02418571.

Kamykowski D. (1981). Laboratory experiments on the diurnal vertical migration of marine dinoflagellates through temperature gradients. Marine Biology 62: 57–64. https://doi.org/10.1007/BF00396951

Kita J., Tsuchida S., Setoguma T. (1996). Temperature preference and tolerance, and oxygen consumption of the marbled rockfish, Sebastiscus marmoratus. Marine Biology 125: 467-471.

Lah R.A., Benkendorff K., Bucher D. (2017). Thermal tolerance and preference of exploited turbinid snails near their range limit in a global warming hotspot. Journal of Thermal Biology 64: 100-108. https://doi.org/10.1016/j.jtherbio.2017.01.008.

Lewis L., Ayers J. (2014). Temperature preference and acclimation in the Jonah Crab, Cancer borealis. Journal of Experimental Marine Biology and Ecology 455: 7-13. https://doi.org/10.1016/j.jembe.2014.02.013.

Martin T.L., Huey R.B. (2008). Why “Suboptimal” Is Optimal: Jensen’s Inequality and Ectotherm Thermal Preferences. The American Naturalist 171(3): E102-E118. https://doi.org/10.1086/527502

Navas C.A., Gouveia S.F., Solano-Iguarán J.J., Vidal M.A., Bacigalupe L.D. (2021). Amphibian responses in experimental thermal gradients: Concepts and limits for inference. Comparative Biochemistry and Physiology B 254: 110576. https://doi.org/10.1016/j.cbpb.2021.110576.

Ritchie M.W., Dawson J.W., MacMillan H.A. (2021). A simple and dynamic thermal gradient device for measuring thermal performance in small ectotherms. Current Research in Insect Science 1: 100005. https://doi.org/10.1016/j.cris.2020.100005.

Salas A., Díaz F., Re A.D., Galindo-Sánchez C.E., Sánchez-Castrejón E., González M., Licea A., Sánchez-Zamora A., Rosas C. (2014). Preferred Temperature, Thermal Tolerance, and Metabolic Response of Tegula regina (Stearns, 1892). Journal of Shellfish Research 33(1): 239-246. https://doi.org/10.2983/035.033.0123

Published

2024-08-07