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Statistical analysis of the influence of conspecifics on the dispersal of a soil collembola.

Bengtsson, Göran LU ; Rydén, Tobias LU ; Öhrn, Maria Sjögren LU and Wiktorsson, Magnus LU orcid (2002) In Theoretical Population Biology 61(2). p.97-113
Abstract
The evidence for dispersal activity among soil-living invertebrates comes mainly from observations of their movement on artificial substrates or of colonisation of defaunated soils in the field. In an attempt to elucidate the dispersal pattern of soil collembolans in the presence of conspecifics, statistical analyses were undertaken to describe and simulate the movement of groups of Onychiurus armatus released in trays of homogeneous soil. A chi(2) test was used to reject the null hypothesis that individuals moved independently of each other and uniformly in all directions. The mean radial distance moved (1-2 cm day(-1)) and the radial standard deviation varied temporally and with the density of conspecifics. To capture the interaction... (More)
The evidence for dispersal activity among soil-living invertebrates comes mainly from observations of their movement on artificial substrates or of colonisation of defaunated soils in the field. In an attempt to elucidate the dispersal pattern of soil collembolans in the presence of conspecifics, statistical analyses were undertaken to describe and simulate the movement of groups of Onychiurus armatus released in trays of homogeneous soil. A chi(2) test was used to reject the null hypothesis that individuals moved independently of each other and uniformly in all directions. The mean radial distance moved (1-2 cm day(-1)) and the radial standard deviation varied temporally and with the density of conspecifics. To capture the interaction between the moving individuals, four dispersal models (pure diffusion, diffusion with drift interaction, drift interaction and synchronised diffusion, and drift interaction and behavioural mood), were formulated as stochastic differential equations. The parameters of the models were estimated by minimising the deviance between the observed replicates and replicates that were simulated using the models. The dynamics of movement were best described by modelling the drift interaction as dependent on whether individuals were in a social or an asocial mood. (Less)
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Animal, Animal Migration, Chi-Square Distribution, Statistical, Models, Movement, Oligochaeta, Social Behavior, Soil, Stochastic Processes, Support, Non-U.S. Gov't, Sweden
in
Theoretical Population Biology
volume
61
issue
2
pages
97 - 113
publisher
Academic Press
external identifiers
  • pmid:11969383
  • wos:000175473300001
  • scopus:0036512659
ISSN
1096-0325
DOI
10.1006/tpbi.2001.1564
language
English
LU publication?
yes
id
1c6d04b7-08a8-408a-bf03-988afcb5ef24 (old id 107778)
alternative location
http://www.ingentaconnect.com/content/ap/tp/2002/00000061/00000002/art01564
date added to LUP
2016-04-01 15:47:34
date last changed
2024-01-10 19:54:02
@article{1c6d04b7-08a8-408a-bf03-988afcb5ef24,
  abstract     = {{The evidence for dispersal activity among soil-living invertebrates comes mainly from observations of their movement on artificial substrates or of colonisation of defaunated soils in the field. In an attempt to elucidate the dispersal pattern of soil collembolans in the presence of conspecifics, statistical analyses were undertaken to describe and simulate the movement of groups of Onychiurus armatus released in trays of homogeneous soil. A chi(2) test was used to reject the null hypothesis that individuals moved independently of each other and uniformly in all directions. The mean radial distance moved (1-2 cm day(-1)) and the radial standard deviation varied temporally and with the density of conspecifics. To capture the interaction between the moving individuals, four dispersal models (pure diffusion, diffusion with drift interaction, drift interaction and synchronised diffusion, and drift interaction and behavioural mood), were formulated as stochastic differential equations. The parameters of the models were estimated by minimising the deviance between the observed replicates and replicates that were simulated using the models. The dynamics of movement were best described by modelling the drift interaction as dependent on whether individuals were in a social or an asocial mood.}},
  author       = {{Bengtsson, Göran and Rydén, Tobias and Öhrn, Maria Sjögren and Wiktorsson, Magnus}},
  issn         = {{1096-0325}},
  keywords     = {{Animal; Animal Migration; Chi-Square Distribution; Statistical; Models; Movement; Oligochaeta; Social Behavior; Soil; Stochastic Processes; Support; Non-U.S. Gov't; Sweden}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{97--113}},
  publisher    = {{Academic Press}},
  series       = {{Theoretical Population Biology}},
  title        = {{Statistical analysis of the influence of conspecifics on the dispersal of a soil collembola.}},
  url          = {{http://dx.doi.org/10.1006/tpbi.2001.1564}},
  doi          = {{10.1006/tpbi.2001.1564}},
  volume       = {{61}},
  year         = {{2002}},
}