森林昆虫种群密度动态的调节特征及其范围狭窄的可能原因

IF 5.3 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Vladislav Soukhovolsky, Anton Kovalev, Olga Tarasova, Viatcheslav Martemyanov
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引用次数: 0

摘要

为了了解昆虫的调节过程,本文建议对不同种群的调节特征进行评估。为此,分析了森林昆虫丰度动态和森林昆虫破坏林分面积的多个时间序列的调控特征;这些特征反映了人口中的正反馈和负反馈。为了描述昆虫种群的密度动态,提出了一种自回归(AR)模型,根据该模型,当前种群密度由其阶数k:前k年种群密度决定。为了估计k阶,采用了多个昆虫丰度动态时间序列的部分自相关函数。建立了15种叶食性昆虫33个居群的AR模型。结果发现,二阶AR模型对所有被检测种群的描述都相当准确(具有较高的决定系数Radj2)。本研究介绍了种群调节过程的两个特征:系数a1表征了当前种群密度与前一年种群密度之间的正相关关系,系数a2反映了i - 2年和i年种群密度之间的负反馈。研究表明,对于所有被研究的种群,无论种群密度的变化如何,调节系数都在一个相对狭窄的范围内变化。为了讨论不同种群中调节过程特征范围狭窄的原因,建议使用其稳定性指标作为系统恢复系统在干扰因素影响下离开的平衡状态的能力。对于所分析的种群,计算了二阶AR模型的稳定裕度,以及所研究的时间序列的丰度动态谱。结果表明,森林昆虫种群密度时间序列的调节特征范围较窄,可以用种群中可能存在的振荡模式来解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Regulatory characteristics of population density dynamics of forest insects and possible reasons for the observed narrow range of such characteristics
To understand regulatory processes in insects, it is proposed here to evaluate regulatory characteristics of various populations. For this purpose, regulatory characteristics were analyzed for many time series of forest insect abundance dynamics and of area of damage to forest stands by forest insects; these characteristics reflect positive and negative feedback in populations. To describe the density dynamics of insect populations, an autoregressive (AR) model is proposed, according to which current population density is determined by its order k: population density in k preceding years. To estimate order k, partial autocorrelation functions of many time series of insect abundance dynamics were used. AR models were constructed for 33 populations of 15 species of phyllophagous insects. It was found that all the examined populations are described rather accurately (with high determination coefficients Radj2) by second-order AR models. Two characteristics of regulatory processes in a population are introduced in this work: coefficient a1 characterizes a positive relation between current population density and its density in the preceding year, and coefficient a2 reflects negative feedback between population densities in years i - 2 and i. It was demonstrated that for all the studied populations, the regulatory coefficients—regardless of a variance of population densities—vary within a relatively narrow range. To discuss reasons for the narrow range of the characteristics of regulatory processes in diverse populations, it is suggested to use indicators of their stability as an ability of a system to restore an equilibrium state that the system left under the influence of perturbing factors. For the analyzed populations, stability margins of second-order AR models were calculated, as were spectra of abundance dynamics of the time series under study. It was shown that the narrow range of regulatory characteristics for the time series of forest insects' population density can be explained by possible existence of oscillatory modes in populations.
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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