Akemann Gernot, Baake Michael, Chakarov Nayden, Krüger Oliver, Mielke Adam, Ottensmann Meinolf, Werdehausen Rebecca
Faculty of Physics, Bielefeld University, P.O. Box 100131, D-33501 Bielefeld, Germany.
Faculty of Mathematics, Bielefeld University, P.O. Box 100131, D-33501 Bielefeld, Germany.
J Theor Biol. 2021 Jan 21;509:110475. doi: 10.1016/j.jtbi.2020.110475. Epub 2020 Oct 2.
A deeper understanding of the processes underlying the distribution of animals in space is crucial for both basic and applied ecology. The Common buzzard (Buteo buteo) is a highly aggressive, territorial bird of prey that interacts strongly with its intra- and interspecific competitors. We propose and use random matrix theory to quantify the strength and range of repulsion as a function of the buzzard population density, thus providing a novel approach to model density dependence. As an indicator of territorial behaviour, we perform a large-scale analysis of the distribution of buzzard nests in an area of 300 square kilometres around the Teutoburger Wald, Germany, as gathered over a period of 20 years. The nearest and next-to-nearest neighbour spacing distribution between nests is compared to the two-dimensional Poisson distribution, originating from uncorrelated random variables, to the complex eigenvalues of random matrices, which are strongly correlated, and to a two-dimensional Coulomb gas interpolating between these two. A one-parameter fit to a time-moving average reveals a significant increase of repulsion between neighbouring nests, as a function of the observed increase in absolute population density over the monitored period of time, thereby proving an unexpected yet simple model for density-dependent spacing of predator territories. A similar effect is obtained for next-to-nearest neighbours, albeit with weaker repulsion, indicating a short-range interaction. Our results show that random matrix theory might be useful in the context of population ecology.
深入理解动物在空间分布背后的过程,对基础生态学和应用生态学都至关重要。普通鵟(Buteo buteo)是一种极具攻击性的领地性猛禽,与其种内和种间竞争者有强烈的相互作用。我们提出并运用随机矩阵理论来量化排斥强度和范围,作为鵟种群密度的函数,从而提供一种模拟密度依赖性的新方法。作为领地行为的一个指标,我们对德国条顿堡森林周边300平方公里区域内鵟巢的分布进行了大规模分析,这些数据是在20年的时间里收集的。将巢之间最近和次近邻间距分布与源于不相关随机变量的二维泊松分布、具有强相关性的随机矩阵的复特征值以及在这两者之间插值的二维库仑气体进行比较。对时间移动平均值进行单参数拟合发现,随着监测时间段内绝对种群密度的增加,相邻巢之间的排斥力显著增加,从而证明了一个用于捕食者领地密度依赖性间距的意外却简单的模型。对于次近邻也获得了类似的效果,尽管排斥力较弱,表明存在短程相互作用。我们的结果表明,随机矩阵理论在种群生态学背景下可能有用。