TY - JOUR
T1 - A body temperature model for lizards as estimated from the thermal environment
AU - Fei, Teng
AU - Skidmore, Andrew
AU - Venus, Valentijn
AU - Wang, Tiejun
AU - Schlerf, Martin
AU - Toxopeus, Bert
AU - van Overjijk, Sjef
AU - Bian, Meng
AU - Liu, Yaolin
PY - 2012
Y1 - 2012
N2 - A physically based model was built to predict the transient body temperature of lizards in a thermally heterogeneous environment. Six heat transfer terms were taken into account in this model: solar radiation, convective heat flow, longwave radiation, conductive heat flow, metabolic heat gain and respiratory energy loss. In order to enhance the model predictive power, a Monte Carlo simulation was employed to calibrate the bio-physical parameters of the target animal. Animal experiments were conducted to evaluate the calibrated body temperature model in a terrarium under a controlled thermal environment. To avoid disturbances of the animal, thermal infrared imagers were used to measure the land surface temperature and the body temperature. The results showed that the prediction accuracy of lizard's transient temperature was substantially increased by the use of Monte Carlo techniques (RMSE=0.59 °C) compared to standard model parameterization (RMSE=1.35 °C). Because the model calibration technique presented here is based on physical principles, it should be also useful in more complex, field situations.
AB - A physically based model was built to predict the transient body temperature of lizards in a thermally heterogeneous environment. Six heat transfer terms were taken into account in this model: solar radiation, convective heat flow, longwave radiation, conductive heat flow, metabolic heat gain and respiratory energy loss. In order to enhance the model predictive power, a Monte Carlo simulation was employed to calibrate the bio-physical parameters of the target animal. Animal experiments were conducted to evaluate the calibrated body temperature model in a terrarium under a controlled thermal environment. To avoid disturbances of the animal, thermal infrared imagers were used to measure the land surface temperature and the body temperature. The results showed that the prediction accuracy of lizard's transient temperature was substantially increased by the use of Monte Carlo techniques (RMSE=0.59 °C) compared to standard model parameterization (RMSE=1.35 °C). Because the model calibration technique presented here is based on physical principles, it should be also useful in more complex, field situations.
KW - ITC-ISI-JOURNAL-ARTICLE
KW - 22/4 OA procedure
UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2012/isi/skidmore_bod.pdf
U2 - 10.1016/j.jtherbio.2011.10.013
DO - 10.1016/j.jtherbio.2011.10.013
M3 - Article
SN - 0306-4565
VL - 37
SP - 56
EP - 64
JO - Journal of thermal biology
JF - Journal of thermal biology
IS - 1
ER -