摘要翻译：
高密度的植物会争夺光照，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，另一种是内部信号。考虑到生长素信号在一个时滞后诱导植物生长，本工作表明，在不应用马尔可夫性质的情况下，植物生长可以用类能量函数极值来建模。模拟的树高分布与真实植物群落一样，呈双峰和右偏分布。在离体植株情况下，生长动态和生长速度的理论表达式与拟南芥的实验数据吻合较好。此外，该模型的生长动态与独立模型的生物量生产函数是一致的。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。
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英文标题：
《The shade avoidance syndrome: a non-markovian stochastic growth model》
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作者：
A. Veglio
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最新提交年份：
2010
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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一级分类：Physics        物理学
二级分类：Biological Physics        生物物理学
分类描述：Molecular biophysics, cellular biophysics, neurological biophysics, membrane biophysics, single-molecule biophysics, ecological biophysics, quantum phenomena in biological systems (quantum biophysics), theoretical biophysics, molecular dynamics/modeling and simulation, game theory, biomechanics, bioinformatics, microorganisms, virology, evolution, biophysical methods.
分子生物物理、细胞生物物理、神经生物物理、膜生物物理、单分子生物物理、生态生物物理、生物系统中的量子现象（量子生物物理）、理论生物物理、分子动力学/建模与模拟、博弈论、生物力学、生物信息学、微生物、病毒学、进化论、生物物理方法。
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一级分类：Quantitative Biology        数量生物学
二级分类：Tissues and Organs        组织器官
分类描述：Blood flow in vessels, biomechanics of bones, electrical waves, endocrine system, tumor growth
血管内血流，骨骼生物力学，电波，内分泌系统，肿瘤生长
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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.
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PDF链接：
https://arxiv.org/pdf/1002.1569