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Eco-hydrological modelling of channel network dynamics—part 2: application to metapopulation dynamics

Temporal variations in the configuration of the flowing portion of stream networks are observed in the large majority of rivers worldwide. However, the ecological implications of river network expansions/retractions remain poorly understood, owing to the lack of computationally efficient modelling t...

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Autores principales: Bertassello, Leonardo E., Durighetto, Nicola, Botter, Gianluca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9853332/
https://www.ncbi.nlm.nih.gov/pubmed/36685640
http://dx.doi.org/10.1098/rsos.220945
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author Bertassello, Leonardo E.
Durighetto, Nicola
Botter, Gianluca
author_facet Bertassello, Leonardo E.
Durighetto, Nicola
Botter, Gianluca
author_sort Bertassello, Leonardo E.
collection PubMed
description Temporal variations in the configuration of the flowing portion of stream networks are observed in the large majority of rivers worldwide. However, the ecological implications of river network expansions/retractions remain poorly understood, owing to the lack of computationally efficient modelling tools conceived for the long-term simulation of river network dynamics. Here, we couple a stochastic approach for the simulation of channel network expansion and retraction (described in a companion paper) with a dynamic version of a stochastic occupancy metapopulation model. The coupled eco-hydrological model is used to analyse the impact of pulsing river networks on species persistence under different hydroclimatic scenarios. Our results unveil the existence of a climate-dependent detrimental effect of network dynamics on species spread and persistence. This effect is enhanced by dry climates, where flashy expansions and retractions of the flowing channels induce metapopulation extinction. Survival probabilities are particularly reduced in settings where the spatial heterogeneity of network connectivity is pronounced. The analysis indicates that accounting for the temporal variability of the flowing river network and its connectivity is a fundamental prerequisite for analysing in-stream metapopulation dynamics.
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spelling pubmed-98533322023-01-20 Eco-hydrological modelling of channel network dynamics—part 2: application to metapopulation dynamics Bertassello, Leonardo E. Durighetto, Nicola Botter, Gianluca R Soc Open Sci Ecology, Conservation and Global Change Biology Temporal variations in the configuration of the flowing portion of stream networks are observed in the large majority of rivers worldwide. However, the ecological implications of river network expansions/retractions remain poorly understood, owing to the lack of computationally efficient modelling tools conceived for the long-term simulation of river network dynamics. Here, we couple a stochastic approach for the simulation of channel network expansion and retraction (described in a companion paper) with a dynamic version of a stochastic occupancy metapopulation model. The coupled eco-hydrological model is used to analyse the impact of pulsing river networks on species persistence under different hydroclimatic scenarios. Our results unveil the existence of a climate-dependent detrimental effect of network dynamics on species spread and persistence. This effect is enhanced by dry climates, where flashy expansions and retractions of the flowing channels induce metapopulation extinction. Survival probabilities are particularly reduced in settings where the spatial heterogeneity of network connectivity is pronounced. The analysis indicates that accounting for the temporal variability of the flowing river network and its connectivity is a fundamental prerequisite for analysing in-stream metapopulation dynamics. The Royal Society 2022-11-30 /pmc/articles/PMC9853332/ /pubmed/36685640 http://dx.doi.org/10.1098/rsos.220945 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Ecology, Conservation and Global Change Biology
Bertassello, Leonardo E.
Durighetto, Nicola
Botter, Gianluca
Eco-hydrological modelling of channel network dynamics—part 2: application to metapopulation dynamics
title Eco-hydrological modelling of channel network dynamics—part 2: application to metapopulation dynamics
title_full Eco-hydrological modelling of channel network dynamics—part 2: application to metapopulation dynamics
title_fullStr Eco-hydrological modelling of channel network dynamics—part 2: application to metapopulation dynamics
title_full_unstemmed Eco-hydrological modelling of channel network dynamics—part 2: application to metapopulation dynamics
title_short Eco-hydrological modelling of channel network dynamics—part 2: application to metapopulation dynamics
title_sort eco-hydrological modelling of channel network dynamics—part 2: application to metapopulation dynamics
topic Ecology, Conservation and Global Change Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9853332/
https://www.ncbi.nlm.nih.gov/pubmed/36685640
http://dx.doi.org/10.1098/rsos.220945
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