最大值
光合作用
鲁比斯科
化学
植物
生物
生物信息学
生物利用度
作者
Belinda E. Medlyn,Erwin Dreyer,David S. Ellsworth,Manfred Forstreuter,P. C. Harley,Miko U.F. Kirschbaum,Xavier Le Roux,Pierre Montpied,Jörn Strassemeyer,Adrian S. Walcroft,K. Wang,Denis Loustau
标识
DOI:10.1046/j.1365-3040.2002.00891.x
摘要
Abstract The temperature dependence of C 3 photosynthesis is known to vary with growth environment and with species. In an attempt to quantify this variability, a commonly used biochemically based photosynthesis model was parameterized from 19 gas exchange studies on tree and crop species. The parameter values obtained described the shape and amplitude of the temperature responses of the maximum rate of Rubisco activity ( V cmax ) and the potential rate of electron transport ( J max ). Original data sets were used for this review, as it is shown that derived values of V cmax and its temperature response depend strongly on assumptions made in derivation. Values of J max and V cmax at 25 °C varied considerably among species but were strongly correlated, with an average J max : V cmax ratio of 1·67. Two species grown in cold climates, however, had lower ratios. In all studies, the J max : V cmax ratio declined strongly with measurement temperature. The relative temperature responses of J max and V cmax were relatively constant among tree species. Activation energies averaged 50 kJ mol −1 for J max and 65 kJ mol −1 for V cmax , and for most species temperature optima averaged 33 °C for J max and 40 °C for V cmax . However, the cold climate tree species had low temperature optima for both J max ( 19 °C) and V cmax (29 °C), suggesting acclimation of both processes to growth temperature. Crop species had somewhat different temperature responses, with higher activation energies for both J max and V cmax , implying narrower peaks in the temperature response for these species. The results thus suggest that both growth environment and plant type can influence the photosynthetic response to temperature. Based on these results, several suggestions are made to improve modelling of temperature responses.
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