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Stochastic dispersal increases the rate of upstream spread: A case study with green crabs on the northwest Atlantic coast

Dispersal heterogeneity is an important process that can compensate for downstream advection, enabling aquatic organisms to persist or spread upstream. Our main focus was the effect of year-to-year variation in larval dispersal on invasion spread rate. We used the green crab, Carcinus maenas, as a c...

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Autores principales: Gharouni, Ali, Barbeau, Myriam A., Chassé, Joël, Wang, Lin, Watmough, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5621684/
https://www.ncbi.nlm.nih.gov/pubmed/28961269
http://dx.doi.org/10.1371/journal.pone.0185671
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author Gharouni, Ali
Barbeau, Myriam A.
Chassé, Joël
Wang, Lin
Watmough, James
author_facet Gharouni, Ali
Barbeau, Myriam A.
Chassé, Joël
Wang, Lin
Watmough, James
author_sort Gharouni, Ali
collection PubMed
description Dispersal heterogeneity is an important process that can compensate for downstream advection, enabling aquatic organisms to persist or spread upstream. Our main focus was the effect of year-to-year variation in larval dispersal on invasion spread rate. We used the green crab, Carcinus maenas, as a case study. This species was first introduced over 200 years ago to the east coast of North America, and once established has maintained a relatively consistent spread rate against the dominant current. We used a stage-structured, integro-difference equation model that couples a demographic matrix for population growth and dispersal kernels for spread of individuals within a season. The kernel describing larval dispersal, the main dispersive stage, was mechanistically modeled to include both drift and settlement rate components. It was parameterized using a 3-dimensional hydrodynamic model of the Gulf of St Lawrence, which enabled us to incorporate larval behavior, namely vertical swimming. Dispersal heterogeneity was modeled at two temporal scales: within the larval period (months) and over the adult lifespan (years). The kernel models variation within the larval period. To model the variation among years, we allowed the kernel parameters to vary by year. Results indicated that when dispersal parameters vary with time, knowledge of the time-averaged dispersal process is insufficient for determining the upstream spread rate of the population. Rather upstream spread is possible over a number of years when incorporating the yearly variation, even when there are only a few “good years” featured by some upstream dispersal among many “bad years” featured by only downstream dispersal. Accounting for annual variations in dispersal in population models is important to enhance understanding of spatial dynamics and population spread rates. Our developed model also provides a good platform to link the modeling of larval behavior and demography to large-scale hydrodynamic models.
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spelling pubmed-56216842017-10-17 Stochastic dispersal increases the rate of upstream spread: A case study with green crabs on the northwest Atlantic coast Gharouni, Ali Barbeau, Myriam A. Chassé, Joël Wang, Lin Watmough, James PLoS One Research Article Dispersal heterogeneity is an important process that can compensate for downstream advection, enabling aquatic organisms to persist or spread upstream. Our main focus was the effect of year-to-year variation in larval dispersal on invasion spread rate. We used the green crab, Carcinus maenas, as a case study. This species was first introduced over 200 years ago to the east coast of North America, and once established has maintained a relatively consistent spread rate against the dominant current. We used a stage-structured, integro-difference equation model that couples a demographic matrix for population growth and dispersal kernels for spread of individuals within a season. The kernel describing larval dispersal, the main dispersive stage, was mechanistically modeled to include both drift and settlement rate components. It was parameterized using a 3-dimensional hydrodynamic model of the Gulf of St Lawrence, which enabled us to incorporate larval behavior, namely vertical swimming. Dispersal heterogeneity was modeled at two temporal scales: within the larval period (months) and over the adult lifespan (years). The kernel models variation within the larval period. To model the variation among years, we allowed the kernel parameters to vary by year. Results indicated that when dispersal parameters vary with time, knowledge of the time-averaged dispersal process is insufficient for determining the upstream spread rate of the population. Rather upstream spread is possible over a number of years when incorporating the yearly variation, even when there are only a few “good years” featured by some upstream dispersal among many “bad years” featured by only downstream dispersal. Accounting for annual variations in dispersal in population models is important to enhance understanding of spatial dynamics and population spread rates. Our developed model also provides a good platform to link the modeling of larval behavior and demography to large-scale hydrodynamic models. Public Library of Science 2017-09-29 /pmc/articles/PMC5621684/ /pubmed/28961269 http://dx.doi.org/10.1371/journal.pone.0185671 Text en © 2017 Gharouni et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Gharouni, Ali
Barbeau, Myriam A.
Chassé, Joël
Wang, Lin
Watmough, James
Stochastic dispersal increases the rate of upstream spread: A case study with green crabs on the northwest Atlantic coast
title Stochastic dispersal increases the rate of upstream spread: A case study with green crabs on the northwest Atlantic coast
title_full Stochastic dispersal increases the rate of upstream spread: A case study with green crabs on the northwest Atlantic coast
title_fullStr Stochastic dispersal increases the rate of upstream spread: A case study with green crabs on the northwest Atlantic coast
title_full_unstemmed Stochastic dispersal increases the rate of upstream spread: A case study with green crabs on the northwest Atlantic coast
title_short Stochastic dispersal increases the rate of upstream spread: A case study with green crabs on the northwest Atlantic coast
title_sort stochastic dispersal increases the rate of upstream spread: a case study with green crabs on the northwest atlantic coast
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5621684/
https://www.ncbi.nlm.nih.gov/pubmed/28961269
http://dx.doi.org/10.1371/journal.pone.0185671
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