# Reproductive pair correlations and the clustering of organisms

Article

*Nature.*412 (6844), pp. 328-331. https://doi.org/10.1038/35085561

Article Title | Reproductive pair correlations and the clustering of organisms |
---|---|

ERA Journal ID | 17479 |

Article Category | Article |

Authors | Young, W. R. (Author), Roberts, A. J. (Author) and Stuhne, Gordan (Author) |

Journal Title | Nature |

Journal Citation | 412 (6844), pp. 328-331 |

Number of Pages | 4 |

Year | 2001 |

Publisher | Nature Publishing Group |

Place of Publication | London, United Kingdom |

ISSN | 0028-0836 |

0090-0028 | |

0300-8746 | |

1476-4687 | |

Digital Object Identifier (DOI) | https://doi.org/10.1038/35085561 |

Web Address (URL) | http://www.nature.com/nature/journal/v412/n6844/pdf/412328a0.pdf |

Abstract | Clustering of organisms can be a consequence of social behaviour, or of the response of individuals to chemical and physical cues. Environmental variability can also cause clustering: for example, marine turbulence transports plankton and produces chlorophyll concentration patterns in the upper ocean. Even in a homogeneous environment, nonlinear interactions between species can result in spontaneous pattern formation. Here we show that a population of independent, random-walking organisms ('brownian bugs'), reproducing by binary division and dying at constant rates, spontaneously aggregates. Using an individual-based model, we show that clusters form out of spatially homogeneous initial conditions without environmental variability, predator–prey interactions, kinesis or taxis. The clustering mechanism is reproductively driven—birth must always be adjacent to a living organism. This clustering can overwhelm diffusion and create non-poissonian correlations between pairs (parent and offspring) or organisms, leading to the emergence of patterns. |

Keywords | clustering; Brownian bugs; reproductive pair correlations |

ANZSRC Field of Research 2020 | 310301. Behavioural ecology |

490102. Biological mathematics | |

310803. Plant cell and molecular biology | |

Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |

Byline Affiliations | University of California, United States |

Department of Mathematics and Computing |

https://research.usq.edu.au/item/9y529/reproductive-pair-correlations-and-the-clustering-of-organisms

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