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Modeling the spatial and seasonal distribution of offshore recreational vessels in the southeast United States

Understanding the distribution and intensity of recreational boating activities is key for managing safety as well as environmental and social impacts. Recreational boating is a very important component of the diverse maritime traffic in the southeastern United States. The seasonal distribution of o...

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Autores principales: Montes, Nancy, Swett, Robert, Ahrens, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261638/
https://www.ncbi.nlm.nih.gov/pubmed/30485361
http://dx.doi.org/10.1371/journal.pone.0208126
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author Montes, Nancy
Swett, Robert
Ahrens, Robert
author_facet Montes, Nancy
Swett, Robert
Ahrens, Robert
author_sort Montes, Nancy
collection PubMed
description Understanding the distribution and intensity of recreational boating activities is key for managing safety as well as environmental and social impacts. Recreational boating is a very important component of the diverse maritime traffic in the southeastern United States. The seasonal distribution of offshore recreational vessels in waters off the coast of Northeast Florida and Southeast Georgia was modeled using several techniques (Poisson, negative binomial, hurdle and zero inflated modes, generalized additive models, and generalized mixed models) and by combining map-based information provided by recreational boaters with environmental and geographical variables to find the most parsimonious model. Based on model performance, the final model analysis was conducted using a GAM approach with a negative binomial distribution. The best seasonal models explained between 86.1%– 88.6% of the total deviance. For most seasons, a model that included latitude, longitude, interaction between latitude and longitude, chlorophyll a concentration, and abundance of artificial reefs resulted in the best fit. The only exception was the model for the summer season, which did not include chlorophyll a concentration. Given the complexity of the study area, with a number of maritime activities and several marine species co-occurring, these models could provide information to analyze the distribution and overlap of recreational boating trips with other maritime activities (e.g., cargo ships, commercial vessels) and species (e.g., right whales, sea turtles, sharks). These analyses could be used to decrease harmful interactions among these groups and activities.
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spelling pubmed-62616382018-12-19 Modeling the spatial and seasonal distribution of offshore recreational vessels in the southeast United States Montes, Nancy Swett, Robert Ahrens, Robert PLoS One Research Article Understanding the distribution and intensity of recreational boating activities is key for managing safety as well as environmental and social impacts. Recreational boating is a very important component of the diverse maritime traffic in the southeastern United States. The seasonal distribution of offshore recreational vessels in waters off the coast of Northeast Florida and Southeast Georgia was modeled using several techniques (Poisson, negative binomial, hurdle and zero inflated modes, generalized additive models, and generalized mixed models) and by combining map-based information provided by recreational boaters with environmental and geographical variables to find the most parsimonious model. Based on model performance, the final model analysis was conducted using a GAM approach with a negative binomial distribution. The best seasonal models explained between 86.1%– 88.6% of the total deviance. For most seasons, a model that included latitude, longitude, interaction between latitude and longitude, chlorophyll a concentration, and abundance of artificial reefs resulted in the best fit. The only exception was the model for the summer season, which did not include chlorophyll a concentration. Given the complexity of the study area, with a number of maritime activities and several marine species co-occurring, these models could provide information to analyze the distribution and overlap of recreational boating trips with other maritime activities (e.g., cargo ships, commercial vessels) and species (e.g., right whales, sea turtles, sharks). These analyses could be used to decrease harmful interactions among these groups and activities. Public Library of Science 2018-11-28 /pmc/articles/PMC6261638/ /pubmed/30485361 http://dx.doi.org/10.1371/journal.pone.0208126 Text en © 2018 Montes 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
Montes, Nancy
Swett, Robert
Ahrens, Robert
Modeling the spatial and seasonal distribution of offshore recreational vessels in the southeast United States
title Modeling the spatial and seasonal distribution of offshore recreational vessels in the southeast United States
title_full Modeling the spatial and seasonal distribution of offshore recreational vessels in the southeast United States
title_fullStr Modeling the spatial and seasonal distribution of offshore recreational vessels in the southeast United States
title_full_unstemmed Modeling the spatial and seasonal distribution of offshore recreational vessels in the southeast United States
title_short Modeling the spatial and seasonal distribution of offshore recreational vessels in the southeast United States
title_sort modeling the spatial and seasonal distribution of offshore recreational vessels in the southeast united states
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261638/
https://www.ncbi.nlm.nih.gov/pubmed/30485361
http://dx.doi.org/10.1371/journal.pone.0208126
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