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相关概念视频

Population Growth00:57

Population Growth

27.7K
Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
27.7K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

61.6K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
61.6K
Genetic Drift03:33

Genetic Drift

42.8K
Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
42.8K
Migration00:53

Migration

8.7K
Migration is long-range, seasonal movement from one region or habitat to another. This common strategy, carried out by many different organisms around the world, is an adaptive response that typically corresponds to changes in an organism’s environment, like resource availability or climate. Migrations can involve huge groups of thousands of animals as well as single individuals traveling alone and can range from thousands of kilometers to just a few hundred meters.
8.7K
Gene Flow02:39

Gene Flow

37.3K
Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
37.3K
Conservation of Declining Populations02:07

Conservation of Declining Populations

12.5K
Conservation of declining population focuses on ways of detecting, diagnosing, and halting a population decline. The approach uses methods to prevent populations from going extinct.
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相关实验视频

Updated: Jan 9, 2026

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

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随机环境和迁徙人口动态.

Yogesh Trivedi1, Anushaya Mohapatra1

  • 1Department of Mathematics, Birla Institute of Technology and Science, K K Birla Goa Campus, Pilani Zuarinagar Sancoale, 403726, Goa, India.

Mathematical biosciences
|December 5, 2025
PubMed
概括
此摘要是机器生成的。

环境的随机性对部分迁移的种群产生重大影响. 波动可以促进或阻碍人口持久性,影响迁移作为一种进化稳定的战略.

关键词:
基本复制品编号 基本复制品编号进化稳定的战略 进化稳定的战略一部分的灌.随机环境变量 随机环境变量随机适应动力学 随机适应动力学

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Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy
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Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy

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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Following the Dynamics of Structural Variants in Experimentally Evolved Populations

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相关实验视频

Last Updated: Jan 9, 2026

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
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Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

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Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy
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Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy

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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Following the Dynamics of Structural Variants in Experimentally Evolved Populations

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科学领域:

  • 生态生态学 生态生态学
  • 人口动态 人口动态
  • 进化生物学 进化生物学

背景情况:

  • 环境随机性引入了影响人口动态,持久性和适应策略的随机波动.
  • 部分迁移,即只有一部分人口迁移,是一种常见的现象,受到环境因素的影响.

研究的目的:

  • 通过使用离散时间随机模型,研究环境波动和干扰对部分迁徙人口的影响.
  • 在不同的环境条件下确定种群持续和灭绝的门.
  • 探索部分迁移作为一种进化稳定的战略 (ESS) 演变的条件.

主要方法:

  • 开发了离散时间随机人口模型,包括密度依赖的生育率和偶发性干扰事件.
  • 通过使用主导的利亚普诺夫指数来确定持久度值,推导了随机增长率.
  • 将框架应用于温度依赖的生育功能,以分析气候驱动的影响.

主要成果:

  • 环境的随机性可以增强或减少部分迁徙种群的持续性.
  • 随机性的影响取决于干扰的性质和环境变化的分布.
  • 数字模拟证实了极端事件,如气候冲击,塑造移民模式和人口结构.

结论:

  • 部分迁移动态是复杂的,对环境随机性和干扰很敏感.
  • 该研究为预测人口对环境变化的反应提供了一个框架,特别是在气候变化的背景下.
  • 了解这些动态对于在不断变化的世界中进行保护工作至关重要.