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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Main Authors: Anders Knudby, Ellen Kenchington, Francisco Javier Murillo
Format: Article in Journal/Newspaper
Language:unknown
Subjects:
Online Access:https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0082306
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0082306&type=printable
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spelling ftrepec:oai:RePEc:plo:pone00:0082306 2024-04-14T08:09:24+00:00 Modeling the Distribution of Geodia Sponges and Sponge Grounds in the Northwest Atlantic Anders Knudby Ellen Kenchington Francisco Javier Murillo https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0082306 https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0082306&type=printable unknown https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0082306 https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0082306&type=printable article ftrepec 2024-03-19T10:27:51Z 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. Article in Journal/Newspaper Baffin Bay Baffin Bay Baffin Newfoundland Northwest Atlantic RePEc (Research Papers in Economics) Newfoundland Baffin Bay
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
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 in Journal/Newspaper
author Anders Knudby
Ellen Kenchington
Francisco Javier Murillo
spellingShingle Anders Knudby
Ellen Kenchington
Francisco Javier Murillo
Modeling the Distribution of Geodia Sponges and Sponge Grounds in the Northwest Atlantic
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
url https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0082306
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0082306&type=printable
geographic Newfoundland
Baffin Bay
geographic_facet Newfoundland
Baffin Bay
genre Baffin Bay
Baffin Bay
Baffin
Newfoundland
Northwest Atlantic
genre_facet Baffin Bay
Baffin Bay
Baffin
Newfoundland
Northwest Atlantic
op_relation https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0082306
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0082306&type=printable
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