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Biological Clocks and Seasonal Responses02:45

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The circadian—or biological—clock is an intrinsic, timekeeping, molecular mechanism that allows plants to coordinate physiological activities over 24-hour cycles called circadian rhythms. Photoperiodism is a collective term for the biological responses of plants to variations in the relative lengths of dark and light periods. The period of light-exposure is called the photoperiod.
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Organisms must balance energy intake with the energy required for growth, maintenance and reproduction. These trade-offs result in a variety of survivorship and reproductive strategies, including semelparity and iteroparity. Semelparous species, like annual plants, have only one reproductive episode in their lifetimes and consequently have short lifespans. Iteroparous species, by contrast, have many reproductive events during their lifetimes but have relatively few offspring. These two...
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Time scaling of signals is a crucial concept in signal processing that affects the Fourier series representation without altering its coefficients. The process modifies the fundamental frequency, thereby changing how the series represents the signal over time. This principle is essential in various applications, including audio and image processing, where signal manipulation is frequent. Understanding function symmetries is fundamental to simplifying the Fourier series.
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在生态系统模型中协调自然的时间尺度.

Vivienne P Groner1, Jacob Cook1, C David L Orme1

  • 1Georgina Mace Centre for the Living Planet, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot SL5 7PY, UK.

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概括

在多个时间尺度上整合生态系统过程是具有挑战性的. 本研究确定了时间步骤选择和过程序列的关键问题,为改进生态建模提供跨学科的解决方案.

关键词:
生态系统建模 生态系统建模有多个时间尺度.这是一个跨学科的挑战.

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科学领域:

  • 生态生态学 生态生态学
  • 计算生物学 计算生物学
  • 环境建模环境建模

背景情况:

  • 生态系统模型难以在不同的时间尺度上表示复杂,非线性过程.
  • 关键的挑战包括选择适当的时间步骤和对相互连接的过程进行测序模拟.
  • 现有的框架通常涉及生物现实主义和计算效率之间的权衡.

研究的目的:

  • 识别和综合共同的挑战和解决方案,在生态系统建模中整合多个时间尺度.
  • 探索选择代表性的时间步骤和订购过程模拟的方法.
  • 提出跨学科的方法,以加强生态研究的时间尺度整合.

主要方法:

  • 综合了现有的生态系统建模框架,以确定共同的战略.
  • 针对代表性的时间步骤选择的分类方法 (例如",选择性消除时间尺度"",捕捉看不见的").
  • 识别了各种处理顺序策略 (例如,层次,逻辑,代,随机).

主要成果:

  • 确定了代表性时间步骤选择的四种不同的方法和处理订单的四种方法.
  • 突出了当前模型中生物现实主义和计算性能之间的共享妥协.
  • 证明了从其他科学领域转移方法的潜在好处.

结论:

  • 解决时间尺度整合需要创新,跨学科的解决方案.
  • 更聪明的计算和跨学科的方法转移可以改善生态建模.
  • 未来的研究应该专注于开发用于多时间尺度生态系统动态的综合方法.