The North Atlantic right whale (Eubalaena
Geographic Information Systems (GIS) are an innovative and powerful tool to define relationships between species and habitat in large marine ecosystems. The objectives of this study were: 1) to gather bathymetry, SST(sea-surface temperature), and right whale (Eubalaena glacialis) sightings data and...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.624.7129 2023-05-15T16:08:16+02:00 The North Atlantic right whale (Eubalaena Elizabeth Moses John T. Finn The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.624.7129 http://journal.nafo.int/j22/moses.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.624.7129 http://journal.nafo.int/j22/moses.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://journal.nafo.int/j22/moses.pdf Key words bathymetry GIS ecosystems models right whales sea-surface temperature text ftciteseerx 2016-01-08T15:10:05Z Geographic Information Systems (GIS) are an innovative and powerful tool to define relationships between species and habitat in large marine ecosystems. The objectives of this study were: 1) to gather bathymetry, SST(sea-surface temperature), and right whale (Eubalaena glacialis) sightings data and convert them to GIS coverages, and 2) to create a GIS based logistic regression model to predict North Atlantic right whale (Eubalaena glacialis) distribution as a function of SST and bathymetry. Part of the Scotian Shelf, 45°00'N to 42°00'N latitude and 66°00'W to 61°00'W longitude, was used as a study area to develop the model. The validity of the model was tested in a separate area with known right whale distribution, and the results showed that the model predicted sightings where right whales had been observed. Observations had shown that during their seasonal mi-gration, a portion of the population does not appear in the known summering grounds in the Gulf of Maine, Bay of Fundy, and on the Scotian Shelf. New genetic evidence sug-gested an additional summering ground. Using the model, predictions for the North Atlan-tic showed possible summering grounds in areas which were historical whaling grounds. The results from the model can be incorporated into the Recovery Plan for this species. GIS offers an inexpensive method to examine marine mammals in relation to environmen-tal and oceanographic features which affect their life histories. Text Eubalaena glacialis North Atlantic North Atlantic right whale Unknown |
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English |
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Key words bathymetry GIS ecosystems models right whales sea-surface temperature |
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Key words bathymetry GIS ecosystems models right whales sea-surface temperature Elizabeth Moses John T. Finn The North Atlantic right whale (Eubalaena |
topic_facet |
Key words bathymetry GIS ecosystems models right whales sea-surface temperature |
description |
Geographic Information Systems (GIS) are an innovative and powerful tool to define relationships between species and habitat in large marine ecosystems. The objectives of this study were: 1) to gather bathymetry, SST(sea-surface temperature), and right whale (Eubalaena glacialis) sightings data and convert them to GIS coverages, and 2) to create a GIS based logistic regression model to predict North Atlantic right whale (Eubalaena glacialis) distribution as a function of SST and bathymetry. Part of the Scotian Shelf, 45°00'N to 42°00'N latitude and 66°00'W to 61°00'W longitude, was used as a study area to develop the model. The validity of the model was tested in a separate area with known right whale distribution, and the results showed that the model predicted sightings where right whales had been observed. Observations had shown that during their seasonal mi-gration, a portion of the population does not appear in the known summering grounds in the Gulf of Maine, Bay of Fundy, and on the Scotian Shelf. New genetic evidence sug-gested an additional summering ground. Using the model, predictions for the North Atlan-tic showed possible summering grounds in areas which were historical whaling grounds. The results from the model can be incorporated into the Recovery Plan for this species. GIS offers an inexpensive method to examine marine mammals in relation to environmen-tal and oceanographic features which affect their life histories. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Elizabeth Moses John T. Finn |
author_facet |
Elizabeth Moses John T. Finn |
author_sort |
Elizabeth Moses |
title |
The North Atlantic right whale (Eubalaena |
title_short |
The North Atlantic right whale (Eubalaena |
title_full |
The North Atlantic right whale (Eubalaena |
title_fullStr |
The North Atlantic right whale (Eubalaena |
title_full_unstemmed |
The North Atlantic right whale (Eubalaena |
title_sort |
north atlantic right whale (eubalaena |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.624.7129 http://journal.nafo.int/j22/moses.pdf |
genre |
Eubalaena glacialis North Atlantic North Atlantic right whale |
genre_facet |
Eubalaena glacialis North Atlantic North Atlantic right whale |
op_source |
http://journal.nafo.int/j22/moses.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.624.7129 http://journal.nafo.int/j22/moses.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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