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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Bibliographic Details
Main Authors: Elizabeth Moses, John T. Finn
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Subjects:
Key words
bathymetry
GIS
ecosystems
models
right whales
sea-surface temperature
Eubalaena glacialis
North Atlantic
North Atlantic right whale
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.624.7129
http://journal.nafo.int/j22/moses.pdf
Description
Summary: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.

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