Territorial behaviour of buzzards versus random matrix spacing distributions.

Common buzzard Nearest neighbour spacing distribution Population density dependence Random matrices Territorial behaviour

Journal

Journal of theoretical biology
ISSN: 1095-8541
Titre abrégé: J Theor Biol
Pays: England
ID NLM: 0376342

Informations de publication

Date de publication:
21 01 2021
Historique:
received: 07 04 2020
revised: 06 08 2020
accepted: 01 09 2020
pubmed: 6 10 2020
medline: 22 6 2021
entrez: 5 10 2020
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 33017577
pii: S0022-5193(20)30330-1
doi: 10.1016/j.jtbi.2020.110475
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

110475

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Gernot Akemann (G)

Faculty of Physics, Bielefeld University, P.O. Box 100131, D-33501 Bielefeld, Germany. Electronic address: akemann@physik.uni-bielefeld.de.

Michael Baake (M)

Faculty of Mathematics, Bielefeld University, P.O. Box 100131, D-33501 Bielefeld, Germany. Electronic address: mbaake@math.uni-bielefeld.de.

Nayden Chakarov (N)

Faculty of Biology, Bielefeld University, P.O. Box 100131, D-33501 Bielefeld, Germany.

Oliver Krüger (O)

Faculty of Biology, Bielefeld University, P.O. Box 100131, D-33501 Bielefeld, Germany. Electronic address: oliver.krueger@uni-bielefeld.de.

Adam Mielke (A)

Faculty of Physics, Bielefeld University, P.O. Box 100131, D-33501 Bielefeld, Germany. Electronic address: amielke@math.uni-bielefeld.de.

Meinolf Ottensmann (M)

Faculty of Biology, Bielefeld University, P.O. Box 100131, D-33501 Bielefeld, Germany.

Rebecca Werdehausen (R)

Faculty of Physics, Bielefeld University, P.O. Box 100131, D-33501 Bielefeld, Germany.

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