首页> 外文期刊>Researches on Population Ecology >ANALYSIS OF CHANGES OF INSECT-PLANT RATIO-IMPROVEMENT OF KEY-FACTOR ANALYSIS FOR EVALUATING BOTTOM-UP EFFECTS IN INSECT POPULATION DYNAMICS
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ANALYSIS OF CHANGES OF INSECT-PLANT RATIO-IMPROVEMENT OF KEY-FACTOR ANALYSIS FOR EVALUATING BOTTOM-UP EFFECTS IN INSECT POPULATION DYNAMICS

机译:昆虫种群动态效应评估底向上效应关键因素分析对昆虫-植物比例改善的影响分析

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A revised key-factor analysis was presented for analyzing the temporal changes in the ratio of insect absolute number to plant resource. Ten data sets for 5 insect species were then analyzed. In this key-factor analysis, the key factor is defined as the factor contributing highly to between year variation in R(r), the log rate of the inter-year change of the insect-plant ratio. The yearly change of plant resource was handled as a separate factor, expressed by r(pl), log ratio of plant resource in year n to plant resource in year n + 1. The following was revealed: 1) In 7 of the 10 data sets examined, r(pl) influenced variations of R(r); in particular, in 3 cases r(pl) was the main key factor. 2) Generation-to-generation fluctuations of absolute insect densities showed density dependence in 4 cases, while those of insect-plant ratios, in 8 cases. 3) The Royama model or a linear model explained well the relationship between log insect-plant ratio (X(r)) and R(r) and the relationship between X(r) and log yearly change rate of absolute insect density (R(abs)). However, in the 7 cases in which r(pl) was a critical factor for variations of R(r), with increase of X(r), R(r) showed a steeper decrease around the equilibrium point (the point for which R(r) is 0) than R(abs). This occurred because r(pt) tended to be negatively correlated with X(r). Consequently, in two cases X(r) fluctuated cyclicly or chaotically although without the changes in plant resource, fluctuations of X(r) would be damped oscillations approaching equilibrium.
机译:提出了一种修正的关键因素分析方法,用于分析昆虫绝对数与植物资源之比的时间变化。然后分析了5种昆虫的10个数据集。在该关键因子分析中,关键因子定义为对R(r)年间变化,虫株比率年间变化的对数率有很大贡献的因子。植物资源的年度变化作为一个单独的因子来处理,用r(pl),n年的植物资源对数与n + 1年的植物资源的对数比表示。显示以下内容:1)在10个数据中的7个检验的集合,r(pl)影响了R(r)的变化;特别是在3种情况下,r(pl)是主要的关键因素。 2)绝对昆虫密度的代际波动显示密度依赖性4例,而昆虫-植物比率的波动则显示8例。 3)Royama模型或线性模型很好地解释了对数昆虫植物比率(X(r))和R(r)之间的关系以及X(r)与对数绝对昆虫密度的对数年变化率(R( abs))。但是,在7种情况下,其中r(pl)是R(r)变化的关键因素,随着X(r)的增加,R(r)在平衡点(R (r)是0)比R(abs)。发生这种情况是因为r(pt)倾向于与X(r)负相关。因此,在两种情况下,尽管植物资源没有变化,但X(r)周期性或无序地波动,X(r)的波动将抑制趋于平衡的振荡。

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