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Modeling the Distribution of Geodia Sponges and Sponge Grounds in the Northwest Atlantic

Deep-sea sponge grounds provide structurally complex habitat for fish and invertebrates and enhance local biodiversity. They are also vulnerable to bottom-contact fisheries and prime candidates for Vulnerable Marine Ecosystem designation and related conservation action. This study uses species distr...

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Detalles Bibliográficos
Autores principales: Knudby, Anders, Kenchington, Ellen, Murillo, Francisco Javier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3852940/
https://www.ncbi.nlm.nih.gov/pubmed/24324768
http://dx.doi.org/10.1371/journal.pone.0082306
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author Knudby, Anders
Kenchington, Ellen
Murillo, Francisco Javier
author_facet Knudby, Anders
Kenchington, Ellen
Murillo, Francisco Javier
author_sort Knudby, Anders
collection PubMed
description Deep-sea sponge grounds provide structurally complex habitat for fish and invertebrates and enhance local biodiversity. They are also vulnerable to bottom-contact fisheries and prime candidates for Vulnerable Marine Ecosystem designation and related conservation action. This study uses species distribution modeling, based on presence and absence observations of Geodia spp. and sponge grounds derived from research trawl catches, as well as spatially continuous data on the physical and biological ocean environment derived from satellite data and oceanographic models, to model the distribution of Geodia sponges and sponge grounds in the Northwest Atlantic. Most models produce excellent fits with validation data although fits are reduced when models are extrapolated to new areas, especially when oceanographic regimes differ between areas. Depth and minimum bottom salinity were important predictors in most models, and a Geodia spp. minimum bottom salinity tolerance threshold in the 34.3-34.8 psu range was hypothesized on the basis of model structure. The models indicated two currently unsampled regions within the study area, the deeper parts of Baffin Bay and the Newfoundland and Labrador slopes, where future sponge grounds are most likely to be found.
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spelling pubmed-38529402013-12-09 Modeling the Distribution of Geodia Sponges and Sponge Grounds in the Northwest Atlantic Knudby, Anders Kenchington, Ellen Murillo, Francisco Javier PLoS One Research Article Deep-sea sponge grounds provide structurally complex habitat for fish and invertebrates and enhance local biodiversity. They are also vulnerable to bottom-contact fisheries and prime candidates for Vulnerable Marine Ecosystem designation and related conservation action. This study uses species distribution modeling, based on presence and absence observations of Geodia spp. and sponge grounds derived from research trawl catches, as well as spatially continuous data on the physical and biological ocean environment derived from satellite data and oceanographic models, to model the distribution of Geodia sponges and sponge grounds in the Northwest Atlantic. Most models produce excellent fits with validation data although fits are reduced when models are extrapolated to new areas, especially when oceanographic regimes differ between areas. Depth and minimum bottom salinity were important predictors in most models, and a Geodia spp. minimum bottom salinity tolerance threshold in the 34.3-34.8 psu range was hypothesized on the basis of model structure. The models indicated two currently unsampled regions within the study area, the deeper parts of Baffin Bay and the Newfoundland and Labrador slopes, where future sponge grounds are most likely to be found. Public Library of Science 2013-12-04 /pmc/articles/PMC3852940/ /pubmed/24324768 http://dx.doi.org/10.1371/journal.pone.0082306 Text en © 2013 Knudby 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Knudby, Anders
Kenchington, Ellen
Murillo, Francisco Javier
Modeling the Distribution of Geodia Sponges and Sponge Grounds in the Northwest Atlantic
title Modeling the Distribution of Geodia Sponges and Sponge Grounds in the Northwest Atlantic
title_full Modeling the Distribution of Geodia Sponges and Sponge Grounds in the Northwest Atlantic
title_fullStr Modeling the Distribution of Geodia Sponges and Sponge Grounds in the Northwest Atlantic
title_full_unstemmed Modeling the Distribution of Geodia Sponges and Sponge Grounds in the Northwest Atlantic
title_short Modeling the Distribution of Geodia Sponges and Sponge Grounds in the Northwest Atlantic
title_sort modeling the distribution of geodia sponges and sponge grounds in the northwest atlantic
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3852940/
https://www.ncbi.nlm.nih.gov/pubmed/24324768
http://dx.doi.org/10.1371/journal.pone.0082306
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