2013
DOI: 10.1007/s13355-013-0190-6
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Mathematical elucidation of the Kaufmann effect based on the thermodynamic SSI model

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Cited by 16 publications
(14 citation statements)
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“…Second, given that we found temperature dynamics to affect development, we tested whether the effect of temperature dynamics can be predicted by Jensen's inequality (Keen and Parker 1979;Ikemoto and Egami 2013), considering that r(T) is the developmental rate under static temperature T. The effect of Jensen's inequality on the development of organisms is termed Kaufmann effect (Kaufmann 1932). The model predicts that when temperature changes at discrete levels, the developmental rate under the temperature dynamics, r dyn , is as follows,…”
Section: The Model and Statistical Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…Second, given that we found temperature dynamics to affect development, we tested whether the effect of temperature dynamics can be predicted by Jensen's inequality (Keen and Parker 1979;Ikemoto and Egami 2013), considering that r(T) is the developmental rate under static temperature T. The effect of Jensen's inequality on the development of organisms is termed Kaufmann effect (Kaufmann 1932). The model predicts that when temperature changes at discrete levels, the developmental rate under the temperature dynamics, r dyn , is as follows,…”
Section: The Model and Statistical Analysismentioning
confidence: 99%
“…In specific, we tested whether it is possible to describe the effect of temperature dynamics using the simple model described below. This is important because most existing studies have focused on documenting the presence of the effect of temperature dynamics (but see Keen and Parker ; Ikemoto and Egami ), but little is known about how to predict the development of organisms when temperature is not constant. Predictions of the model were also contrasted to published studies when appropriate.…”
Section: Introductionmentioning
confidence: 99%
“…Such a thermal developmental curve over these three thermal regions is usually assessed in controlled environments with a constant temperature. The curve can be used for predicting, for instance, the occurrence date of a particular phenological event of arthropods by accumulating the daily developmental rates for full development from a starting date (Wagner et al 1984;Ungerer et al 1999;Ikemoto and Egami 2013;Shi et al 2017a). If the temperaturedependent developmental rate curve is also applicable to plants, we can predict the occurrence date of a particular phenological event in plants.…”
Section: Introductionmentioning
confidence: 99%
“…Ungerer et al (1999) have applied the ADP model to estimate the number of generations per year for the southern pine beetle (Dendroctonus frontalis Zimmermann) by integrating a nonlinear temperature-dependent developmental rate model proposed by Schoolfield et al (1981). Ikemoto and Egami (2013) proposed a revision to the Schoolfield model and calculated developmental rates in a natural thermal environment from a controlled thermal experiment. However, to date, no studies have compared these methods in describing the phenological events of plants in early spring.…”
Section: Introductionmentioning
confidence: 99%