title: Confidence interval of intrinsic optimum temperature estimated using thermodynamic SSI model.
abstract: The intrinsic optimum temperature for the development of ectotherms is one of the most important factors not only for their physiological processes but also for ecological and evolutional processes. The Sharpe-Schoolfield-Ikemoto (SSI) model succeeded in defining the temperature that can thermodynamically meet the condition that at a particular temperature the probability of an active enzyme reaching its maximum activity is realized. Previously, an algorithm was developed by Ikemoto (Tropical malaria does not mean hot environments. Journal of Medical Entomology, 45, 963-969) to estimate model parameters, but that program was computationally very time consuming. Now, investigators can use the SSI model more easily because a full automatic computer program was designed by Shi et al. (A modified program for estimating the parameters of the SSI model. Environmental Entomology, 40, 462-469). However, the statistical significance of the point estimate of the intrinsic optimum temperature for each ectotherm has not yet been determined. Here, we provided a new method for calculating the confidence interval of the estimated intrinsic optimum temperature by modifying the approximate bootstrap confidence intervals method. For this purpose, it was necessary to develop a new program for a faster estimation of the parameters in the SSI model, which we have also done.
authors: Takaya
authors: T
authors: Ikemoto
authors: Issei
authors: I
authors: Kurahashi
authors: Pei-Jian
authors: PJ
authors: Shi
mesh_terms: D000465:Algorithms; D000818:Animals; D016001:Confidence Intervals; D007313:Insecta / Q000254:growth & development* / Q000502:physiology*; D008954:Models, Biological; D015233:Models, Statistical; D013696:Temperature; D013816:Thermodynamics
keywords: approximate bootstrap confidence intervals; bias-corrected and accelerated; bootstrap percentiles; development rate; temperature