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生物能量学模型显示,中国竹叶青蛇在实验室热梯度中选择餐后温度,以实现净能量摄入最大化。

Bioenergetic modeling reveals that Chinese green tree vipers select postprandial temperatures in laboratory thermal gradients that maximize net energy intake.

作者信息

Tsai Tein-Shun, Lee How-Jing, Tu Ming-Chung

机构信息

Department of Life Science, National Taiwan Normal University, 88 Ting-Chow Rd, Sec 4, Taipei 116, Taiwan.

出版信息

Comp Biochem Physiol A Mol Integr Physiol. 2009 Nov;154(3):394-400. doi: 10.1016/j.cbpa.2009.07.011. Epub 2009 Jul 23.

DOI:10.1016/j.cbpa.2009.07.011
PMID:19631759
Abstract

With bioenergetic modeling, we tested the hypothesis that reptiles maximize net energy gain by postprandial thermal selection. Previous studies have shown that Chinese green tree vipers (Trimeresurus s. stejnegeri) have postprandial thermophily (mean preferred temperature T(p) for males =27.8 degrees C) in a linear thigmothermal gradient when seclusion sites and water existed. With some published empirical models of digestion associated factors for this snake, we calculated the average rate (E(net)) and efficiency (K(net)) of net energy gain from possible combinations of meal size, activity level, and feeding frequency at each temperature. The simulations consistently revealed that E(net) maximizes at the T(p) of these snakes. Although the K(net) peaks at a lower temperature than E(net), the value of K(net) remains high (>=0.85 in ratio to maximum) at the peak temperature of E(net). This suggested that the demands of both E(net) and K(net) can be attained by postprandial thermal selection in this snake. In conclusion, the data support our prediction that postprandial thermal selection may maximize net energy gain.

摘要

通过生物能量学建模,我们验证了这样一个假设:爬行动物通过餐后体温选择来实现净能量获取的最大化。先前的研究表明,在中国绿树蝰(Trimeresurus s. stejnegeri)有隐居场所和水源时,在直线型热温梯度中,它们具有餐后嗜热性(雄性平均偏好温度T(p)=27.8摄氏度)。利用一些已发表的关于这种蛇的消化相关因素的经验模型,我们计算了在每个温度下,不同食量、活动水平和进食频率组合下的净能量获取平均速率(E(net))和效率(K(net))。模拟结果始终表明,E(net)在这些蛇的偏好温度(T(p))下达到最大值。尽管K(net)在比E(net)更低的温度下达到峰值,但在E(net)的峰值温度时,K(net)的值仍然很高(相对于最大值的比例>=0.85)。这表明,通过这种蛇的餐后体温选择,可以同时满足E(net)和K(net)的需求。总之,这些数据支持了我们的预测:餐后体温选择可能使净能量获取最大化。

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