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描述温度与昆虫发育速率关系的热力学 Sharpe-Schoolfield-Ikemoto(SSI)模型参数值估计的三个时期。

Three epochs on estimating the parameter values of thermodynamic Sharpe-Schoolfield-Ikemoto (SSI) model describing the relation of temperature and insect development rate.

机构信息

Department of Microbiology, Teikyo University School of Medicine, Itabashi-Ku, Tokyo 173-8605, Japan.

iAnalysis LLC, Win-Aoyama 1403, Minato-Ku, Tokyo, 107-0062, Japan.

出版信息

Environ Entomol. 2023 Dec 15;52(6):957-969. doi: 10.1093/ee/nvad106.

Abstract

The SSI model describes the relationship between temperature and development rate of insect based on the laws of thermodynamics. The greatest feature of the SSI model curve is that it defines the "Intrinsic optimum temperature for the development of ectotherms". However, this model has 8 parameters, it was extremely difficult to estimate the values of these parameters from experimental data. This is because the curve fitting of experimental data yields multiple curves depending on the initial conditions. In the first epoch of estimating parameter values, the difficulties were overcome by clarifying the model and applying all the knowledge gained about the model, but it took several days to determine the model. In the second epoch, the OptimSSI-program, which incorporates a basic optimization function, was developed, making it possible to obtain parameter values instantaneously after inputting experimental data. Although this program mostly runs automatically on a PC, a manual calculation remains to be carried outs so that the obtained model curves do not deviate from Arrhenius' law. Afterward, a new program was suggested. This new program called DEoptim.sqrt not only incorporates an optimization function available on the internet but also was completely different from OptimSSI-P in terms of the design concept. Users had hoped that this new program would be start of the third epoch; however, when we examined the output values, there were serious problems, and we were back in the state before the first epoch. After all, OptimSSI-P of the second epoch was decided to be more reliable.

摘要

SSI 模型根据热力学定律描述了温度与昆虫发育速率之间的关系。SSI 模型曲线的最大特点是它定义了“变温动物发育的内在最佳温度”。然而,该模型有 8 个参数,从实验数据中估计这些参数的值非常困难。这是因为实验数据的曲线拟合会根据初始条件产生多条曲线。在估计参数值的第一阶段,通过阐明模型并应用有关该模型的所有知识克服了困难,但确定模型需要数天时间。在第二阶段,开发了包含基本优化功能的 OptimSSI 程序,使得在输入实验数据后可以立即获得参数值。虽然该程序主要在 PC 上自动运行,但仍需要进行手动计算,以确保获得的模型曲线不偏离阿累尼乌斯定律。之后,提出了一个新程序。这个名为 DEoptim.sqrt 的新程序不仅包含了互联网上可用的优化功能,而且在设计理念上与 OptimSSI-P 完全不同。用户希望这个新程序将是第三个时代的开始;然而,当我们检查输出值时,发现存在严重的问题,我们又回到了第一阶段之前的状态。毕竟,第二阶段的 OptimSSI-P 被认为更可靠。

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