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Predicting the influence of river network configuration, biological traits and habitat quality interactions on riverine fish invasions

Predicting the influence of river network configuration, biological traits and habitat quality interactions on riverine fish invasions
Predicting the influence of river network configuration, biological traits and habitat quality interactions on riverine fish invasions
Aim: the relationships between species and their landscape are important for understanding migration patterns. In fluvial systems, the complexity of the river network can strongly influence the dispersal and colonization rates of invading alien fishes, but habitat quality, species’ biological traits and their location of introduction are also potentially important. However, understandings of how these factors interact in the wild to influence the spatial distribution of invasive species over time are limited from empirical studies.

Location: “virtual” and “real-world” rivers from England and Wales.

Method: we developed an individual-based model (IBM) to predict how these different factors influenced the invasion dynamics and population growth rates (as abundances) of nine “virtual” alien fishes over two timeframes (10 and 30 years). The alien fishes differed in their demographic (r- to K-selected) and dispersal (fast to slow) characteristics and the rivers in their network complexity.

Results: irrespective of river type, species and timeframe, the main drivers of both dispersal and population growth were the location of the introduction and the mean habitat quality of the patch into which the species were released. The introduction location determined whether dispersal was mainly passive in a downstream direction (faster) or active in an upstream direction (slower), with higher habitat quality then enabling faster population growth rates. Over 30 years, invasion rates were predicted to increase as the complexity of the river network increased, as this opened multiple invasion fronts where the invader traits favoured faster dispersal.

Main conclusions: this novel IBM revealed how the complexity of the physical environment interacts with the biological traits of alien species to influence invasion outcomes, with the location of the introduction and its habitat quality being the most important factors. These results thus substantially increase understanding of the factors that influence the dispersal and colonization rates of alien freshwater fishes.
1472-4642
Almela, Victoria Dominguez
c46c331c-e5ba-4da9-8f58-207a4999e02e
Palmer, Stephen C.F.
92797f81-ceea-4591-97a1-0c198965e9fa
Andreou, Demetra
e06d2d95-c8e6-470a-9471-20b1d200f65b
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
c46c331c-e5ba-4da9-8f58-207a4999e02e
Palmer, Stephen C.F.
92797f81-ceea-4591-97a1-0c198965e9fa
Andreou, Demetra
e06d2d95-c8e6-470a-9471-20b1d200f65b
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., Andreou, Demetra, Gillingham, Phillipa K., Travis, Justin M.J. and Britton, J. Robert (2021) Predicting the influence of river network configuration, biological traits and habitat quality interactions on riverine fish invasions. Diversity and Distributions. (doi:10.1111/ddi.13459).

Record type: Article

Abstract

Aim: the relationships between species and their landscape are important for understanding migration patterns. In fluvial systems, the complexity of the river network can strongly influence the dispersal and colonization rates of invading alien fishes, but habitat quality, species’ biological traits and their location of introduction are also potentially important. However, understandings of how these factors interact in the wild to influence the spatial distribution of invasive species over time are limited from empirical studies.

Location: “virtual” and “real-world” rivers from England and Wales.

Method: we developed an individual-based model (IBM) to predict how these different factors influenced the invasion dynamics and population growth rates (as abundances) of nine “virtual” alien fishes over two timeframes (10 and 30 years). The alien fishes differed in their demographic (r- to K-selected) and dispersal (fast to slow) characteristics and the rivers in their network complexity.

Results: irrespective of river type, species and timeframe, the main drivers of both dispersal and population growth were the location of the introduction and the mean habitat quality of the patch into which the species were released. The introduction location determined whether dispersal was mainly passive in a downstream direction (faster) or active in an upstream direction (slower), with higher habitat quality then enabling faster population growth rates. Over 30 years, invasion rates were predicted to increase as the complexity of the river network increased, as this opened multiple invasion fronts where the invader traits favoured faster dispersal.

Main conclusions: this novel IBM revealed how the complexity of the physical environment interacts with the biological traits of alien species to influence invasion outcomes, with the location of the introduction and its habitat quality being the most important factors. These results thus substantially increase understanding of the factors that influence the dispersal and colonization rates of alien freshwater fishes.

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Diversity and Distributions - 2021 - Dominguez Almela - Predicting the influence of river network configuration biological - Version of Record
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Accepted/In Press date: 19 November 2021
Published date: 9 December 2021

Identifiers

Local EPrints ID: 475911
URI: http://eprints.soton.ac.uk/id/eprint/475911
ISSN: 1472-4642
PURE UUID: 763ed173-d4aa-4588-b90c-3c41744cf957
ORCID for Victoria Dominguez Almela: ORCID iD orcid.org/0000-0003-4877-5967

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Date deposited: 30 Mar 2023 16:49
Last modified: 17 Mar 2024 04:11

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Contributors

Author: Stephen C.F. Palmer
Author: Demetra Andreou
Author: Phillipa K. Gillingham
Author: Justin M.J. Travis
Author: J. Robert Britton

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