Territorial behaviour of buzzards versus random matrix spacing distributions
Akemann G, Baake M, Chakarov N, Krüger O, Mielke A, Ottensmann M, Werdehausen R (2021)
Journal of Theoretical Biology 509: 110475.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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Autor*in
Akemann, GernotUniBi;
Baake, MichaelUniBi;
Chakarov, NaydenUniBi;
Krüger, OliverUniBi;
Mielke, AdamUniBi;
Ottensmann, MeinolfUniBi;
Werdehausen, Rebecca
Einrichtung
SFB 1283 Taming uncertainty and profiting from randomness and low regularity in analysis, stochastics and their applications
Fakultät für Biologie > Verhaltensforschung
SFB/Transregio 212 „A Novel Synthesis of Individualisation across Behaviour, Ecology and Evolution: Niche Choice, Niche Conformance, Niche Construction (NC³)“
Fakultät für Mathematik
Fakultät für Physik > AG Mathematische Physik
Fakultät für Biologie > Verhaltensforschung
SFB/Transregio 212 „A Novel Synthesis of Individualisation across Behaviour, Ecology and Evolution: Niche Choice, Niche Conformance, Niche Construction (NC³)“
Fakultät für Mathematik
Fakultät für Physik > AG Mathematische Physik
Abstract / Bemerkung
The nearest and next-to-nearest neighbour spacings between buzzard nests in
the Teutoburger Wald around Bielefeld, as gathered in the years 2000-2019, are
compared with Ginibre random matrix ensembles as well as the Poisson spacing
distribution in two dimensions. Our goal is a phenomenological description of
some structural aspects in the territorial behaviour of these birds. To capture
intermediate spacings between Ginibre and Poisson, we also compare to
numerically generated two-dimensional Coulomb gases at different temperatures,
which interpolate between the two. We find a stronger repulsion between nearest
neighbours than between next-to-nearest ones, for more than the first half of
the observed period. The increase of the absolute density of nests observed in
that area over the monitored period of time leads to an increase of repulsion
among neighbouring nests. Central to our approach is the use of
well-established ideas from universal spatial structures, which suggest to
employ a family of interpolating distributions with only one free parameter
that parametrises the repulsion and that correlates well with the concepts from
population ecology.
Erscheinungsjahr
2021
Zeitschriftentitel
Journal of Theoretical Biology
Band
509
Art.-Nr.
110475
ISSN
0022-5193
Page URI
https://pub.uni-bielefeld.de/record/2943775
Zitieren
Akemann G, Baake M, Chakarov N, et al. Territorial behaviour of buzzards versus random matrix spacing distributions. Journal of Theoretical Biology. 2021;509: 110475.
Akemann, G., Baake, M., Chakarov, N., Krüger, O., Mielke, A., Ottensmann, M., & Werdehausen, R. (2021). Territorial behaviour of buzzards versus random matrix spacing distributions. Journal of Theoretical Biology, 509, 110475. https://doi.org/10.1016/j.jtbi.2020.110475
Akemann, Gernot, Baake, Michael, Chakarov, Nayden, Krüger, Oliver, Mielke, Adam, Ottensmann, Meinolf, and Werdehausen, Rebecca. 2021. “Territorial behaviour of buzzards versus random matrix spacing distributions”. Journal of Theoretical Biology 509: 110475.
Akemann, G., Baake, M., Chakarov, N., Krüger, O., Mielke, A., Ottensmann, M., and Werdehausen, R. (2021). Territorial behaviour of buzzards versus random matrix spacing distributions. Journal of Theoretical Biology 509:110475.
Akemann, G., et al., 2021. Territorial behaviour of buzzards versus random matrix spacing distributions. Journal of Theoretical Biology, 509: 110475.
G. Akemann, et al., “Territorial behaviour of buzzards versus random matrix spacing distributions”, Journal of Theoretical Biology, vol. 509, 2021, : 110475.
Akemann, G., Baake, M., Chakarov, N., Krüger, O., Mielke, A., Ottensmann, M., Werdehausen, R.: Territorial behaviour of buzzards versus random matrix spacing distributions. Journal of Theoretical Biology. 509, : 110475 (2021).
Akemann, Gernot, Baake, Michael, Chakarov, Nayden, Krüger, Oliver, Mielke, Adam, Ottensmann, Meinolf, and Werdehausen, Rebecca. “Territorial behaviour of buzzards versus random matrix spacing distributions”. Journal of Theoretical Biology 509 (2021): 110475.
Daten bereitgestellt von European Bioinformatics Institute (EBI)
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