Integrating an individual-based model with approximate Bayesian computation to predict the invasion of a freshwater fish provides insights into dispersal and range expansion dynamics
Integrating an individual-based model with approximate Bayesian computation to predict the invasion of a freshwater fish provides insights into dispersal and range expansion dynamics
Almela, Victoria Dominguez
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Palmer, Stephen C. F.
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Gillingham, Phillipa K.
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Travis, Justin M. J.
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Britton, J. Robert
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April 2020
Almela, Victoria Dominguez
c46c331c-e5ba-4da9-8f58-207a4999e02e
Palmer, Stephen C. F.
92797f81-ceea-4591-97a1-0c198965e9fa
Gillingham, Phillipa K.
f6ba612e-862d-4a06-9496-6a7c40cb6432
Travis, Justin M. J.
eeb29958-d843-49e0-8583-7515a7b7708c
Britton, J. Robert
bafd1794-86de-435b-a0fb-c106c33620a1
Almela, Victoria Dominguez, Palmer, Stephen C. F., Gillingham, Phillipa K., Travis, Justin M. J. and Britton, J. Robert
(2020)
Integrating an individual-based model with approximate Bayesian computation to predict the invasion of a freshwater fish provides insights into dispersal and range expansion dynamics.
Biological Invasions.
(doi:10.1007/s10530-020-02197-6).
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Published date: April 2020
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Local EPrints ID: 475288
URI: http://eprints.soton.ac.uk/id/eprint/475288
ISSN: 1387-3547
PURE UUID: 67549567-bd5e-4d70-8eb3-556e48826d7a
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Date deposited: 14 Mar 2023 18:01
Last modified: 17 Mar 2024 04:11
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Author:
Stephen C. F. Palmer
Author:
Phillipa K. Gillingham
Author:
Justin M. J. Travis
Author:
J. Robert Britton
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