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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Anders Knudby, Ellen Kenchington, Francisco Javier Murillo
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/cb2d6e10e853488d91f84fda24bb32c4
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:cb2d6e10e853488d91f84fda24bb32c4
record_format	dspace
spelling	oai:doaj.org-article:cb2d6e10e853488d91f84fda24bb32c42021-11-18T08:43:28ZModeling the distribution of Geodia sponges and sponge grounds in the Northwest Atlantic.1932-620310.1371/journal.pone.0082306https://doaj.org/article/cb2d6e10e853488d91f84fda24bb32c42013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24324768/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Deep-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.Anders KnudbyEllen KenchingtonFrancisco Javier MurilloPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 12, p e82306 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Anders Knudby Ellen Kenchington Francisco Javier Murillo Modeling the distribution of Geodia sponges and sponge grounds in the Northwest Atlantic.
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.
format	article
author	Anders Knudby Ellen Kenchington Francisco Javier Murillo
author_facet	Anders Knudby Ellen Kenchington Francisco Javier Murillo
author_sort	Anders Knudby
title	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_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_sort	modeling the distribution of geodia sponges and sponge grounds in the northwest atlantic.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/cb2d6e10e853488d91f84fda24bb32c4
work_keys_str_mv	AT andersknudby modelingthedistributionofgeodiaspongesandspongegroundsinthenorthwestatlantic AT ellenkenchington modelingthedistributionofgeodiaspongesandspongegroundsinthenorthwestatlantic AT franciscojaviermurillo modelingthedistributionofgeodiaspongesandspongegroundsinthenorthwestatlantic
_version_	1718421409553711104

Modeling the distribution of Geodia sponges and sponge grounds in the Northwest Atlantic.

Ejemplares similares