For many years lizard thermal ecology studies have relied on the use of contact thermometry to obtain internal body temperature (T) of the animals. However, with progressing technology, an interest grew in using new, less invasive methods, such as InfraRed (IR) pyrometry and thermography, to infer T of reptiles. Nonetheless few studies have tested the reliability of these new tools. The present study tested the use of IR cameras as a non-invasive tool to infer T of lizards, using three differently body-sized lacertid species (Podarcis virescens, Lacerta schreiberi and Timon lepidus). Given the occurrence of regional heterothermy, we pairwise compared thermography readings of six body parts (snout, eye, head, dorsal, hind limb, tail base) to cloacal temperature (measured by a thermometer-associated thermocouple probe) commonly employed to measure T in field and lab studies. The results showed moderate to strong correlations (R=0.84-0.99) between all body parts and cloacal temperature. However, despite the readings on the tail base showed the strongest correlation in all three species, it was the eye where the absolute values and pattern of temperature change most consistently followed the cloacal measurements. Hence, we concluded that the eye would be the body location whose IR camera readings more closely approximate that of the animal's internal environment. Alternatively, other body parts can be used, provided that a careful calibration is carried out. We provide guidelines for future research using thermography to infer Tb of lizards.
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http://dx.doi.org/10.1016/j.jtherbio.2016.10.004 | DOI Listing |
J Neurosurg Case Lessons
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Departments of Radiology, Northwestern University, Chicago, Illinois.
Sci Rep
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Institute of Rock Structure & Mechanics, Czech Academy of Sciences, V Holešovičkách 41, 182 09, Prague, Czechia.
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Infrared thermography (IRT) has been recently applied to measure lacrimal caruncle temperature non-invasively since this region is related to the sympathetic response, and it seems a promising technique that is able to infer negative emotions in sheep (e.g., fear).
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Dipartimento di Ingegneria dell'Informazione, University of Pisa, 56122 Pisa, Italy.
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