避荫综合征：一个非马尔可夫随机增长模型
The shade avoidance syndrome: a non-markovian stochastic growth model
摘要：
植物在高密度下竞争光照，表现出一系列被称为避荫综合征的生理反应。这些反应是由激素生长素的合成控制的，生长素受两种信号调节，一种是环境信号，一种是内部信号。考虑到生长素信号在一定时间滞后后诱导植物生长，这项工作表明，只要不应用马尔可夫性质，植物生长可以用类能量函数极值化来建模。模拟的植物高度分布与真实群落相似，呈双峰右偏分布。在离体植物的情况下，生长动力学和生长速度的理论表达式非常适合拟南芥的实验数据。此外，该模型的生长动力学被证明是一致的生物量生产函数的一个独立的模型。这些结果表明，记忆效应在植物生长过程中起着不可忽视的作用。
英文摘要：
Plants at high population density compete for light, showing a series of physiological responses known as the shade avoidance syndrome. These responses are controlled by the synthesis of the hormone auxin, which is regulated by two signals, an environmental one and an internal one. Considering that the auxin signal induces plant growth after a time lag, this work shows that plant growth can be modelled in terms of an energy-like function extremization, provided that the Markov property is not applied. The simulated height distributions are bimodal and right skewed, as in real community of plants. In the case of isolated plants, the theoretical expressions for the growth dynamics and the growth speed excellently fit experimental data for Arabidopsis thaliana. Moreover, the growth dynamics of this model is shown to be consistent with the biomass production function of an independent model. These results suggest that memory effects play a non-negligible role in plant growth processes.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
