相关实验视频
Updated: Jul 18, 2025

13:44
Sealable Femtoliter Chamber Arrays for Cell-free Biology
Published on: March 11, 2015
9.5K
在单个物种模型中,噪声诱导的动态,由相关的彩色噪声驱动的Allee效应
1School of Management Engineering, Zhengzhou University of Aeronautics, Zhengzhou 450046, China.
Journal of theoretical biology
|August 21, 2023
概括
本研究探讨了一个具有Allee效应和相关噪声的种群模型. 研究结果显示,噪音可以改变人口动态,增强稳定性,并影响灭绝概率.
科学领域:
- 人口动态 人口动态
- 随机模型的建模
- 理论生态学的理论生态学.
背景情况:
- 生态模型经常简化环境的随机性.
- 艾利效应描述了低人口密度的人均增长的减少.
- 相关的彩色噪声引入了环境波动的时间依赖.
研究的目的:
- 为了研究一个包含Allee效应和相关的彩色噪声的单个物种种群模型.
- 分析噪声特征对人口动态,稳定性和灭绝风险的影响.
主要方法:
- 开发和分析一个随机微分方程模型.
- 福克-普朗克方程的近似方法来推导静止概率密度.
- 分析P-分叉,噪声诱导的可比性和平均第一次通道时间.
主要成果:
- 噪音可以诱导P-分叉,根据相关性改变静止概率分布的形状 (单模向单模/双模).
- 相对应时间对人口增长有积极的影响,增加了大量人口的概率,并延迟了灭绝.
- 观察到噪声增强的稳定性,噪声效应的倍数取决于增量噪声和相关时间.
结论:
- 相关的彩色噪声显著影响着人口动态,提供稳定机制并影响灭绝.
- 噪音,相关性和Allee效应之间的相互作用为人口持久性提供了关键的见解.
- 该模型为理解对随机环境的复杂生态反应提供了一个框架.
相关概念视频
Mutation, Gene Flow, and Genetic Drift
58.5K
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).
58.5K
Hardy-Weinberg Principle
72.3K
Diploid organisms have two alleles of each gene, one from each parent, in their somatic cells. Therefore, each individual contributes two alleles to the gene pool of the population. The gene pool of a population is the sum of every allele of all genes within that population and has some degree of variation. Genetic variation is typically expressed as a relative frequency, which is the percentage of the total population that has a given allele, genotype or phenotype.
72.3K
Mechanistic Models: Compartment Models in Individual and Population Analysis
64
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
64
Frequency-dependent Selection
22.1K
When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
22.1K
Cooperative Allosteric Transitions
2.3K
2.3K
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model
89
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
89

