Assessment of Resource Selection Using Remote Sensing and Geographic Information Systems (GIS) for Two Vertebrates in Disparate Habitats: the Gopher Tortoise ( Gopherus Polyphemus ) and the North Atlantic Right Whale ( Eubalaena Glacialis )

This dissertation is a treatise on spatially-explicit resource selection on two very different vertebrate species. The North Atlantic right whale (Eubalaena glacialis) is the most endangered large whales in the world. Ship strikes and fishing gear entanglement are impediments to recovery. The gopher...

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Bibliographic Details
Main Author: Keller, Cherie A
Format: Doctoral or Postdoctoral Thesis
Language:unknown
Published: Digital Commons @ University of South Florida 2005
Subjects:
Online Access:https://digitalcommons.usf.edu/etd/717
https://digitalcommons.usf.edu/context/etd/article/1716/viewcontent/SFE0001279.pdf
id ftunisfloridatam:oai:digitalcommons.usf.edu:etd-1716
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spelling ftunisfloridatam:oai:digitalcommons.usf.edu:etd-1716 2023-06-11T04:11:29+02:00 Assessment of Resource Selection Using Remote Sensing and Geographic Information Systems (GIS) for Two Vertebrates in Disparate Habitats: the Gopher Tortoise ( Gopherus Polyphemus ) and the North Atlantic Right Whale ( Eubalaena Glacialis ) Keller, Cherie A 2005-07-13T07:00:00Z application/pdf https://digitalcommons.usf.edu/etd/717 https://digitalcommons.usf.edu/context/etd/article/1716/viewcontent/SFE0001279.pdf unknown Digital Commons @ University of South Florida https://digitalcommons.usf.edu/etd/717 https://digitalcommons.usf.edu/context/etd/article/1716/viewcontent/SFE0001279.pdf default USF Tampa Graduate Theses and Dissertations habitat habitat selection landsat TM AVHRR gap analysis Monte Carlo logistic regression wildlife-habitat relationships American Studies Arts and Humanities dissertation 2005 ftunisfloridatam 2023-05-04T17:59:21Z This dissertation is a treatise on spatially-explicit resource selection on two very different vertebrate species. The North Atlantic right whale (Eubalaena glacialis) is the most endangered large whales in the world. Ship strikes and fishing gear entanglement are impediments to recovery. The gopher tortoise (Gopherus polyphemus) is an imperiled species whose upland habitats are shrinking from urban and agricultural development. Determining spatial distribution of important resources is important for conservation strategies. Historical and modern thinking of habitat selection theory and analytical techniques are reviewed and applied to these species. Fine-scale resource selection of sea surface temperature (SST), derived from AVHRR imagery, is evaluated for right whales in the southeastern U. S. calving grounds. Aerial survey data (December-March, 1991-1998) including survey tracklines and right whale locations were entered into a Geographic Information Systems (GIS) for comparing whale use of SST to availability based on search effort. Using Monte Carlo techniques, mean and standard deviation for SSTs and latitudes of whale-sightings were compared to sampling distributions derived from available SSTs and latitudes. From these data, it was concluded that the North Atlantic right whale uses SSTs and latitudes non-randomly. Broad-scale habitat selection for gopher tortoises was evaluated from the 2003 Land Cover/Land Use map (Florida Fish and Wildlife Conservation Commission). Based on land cover and ancillary data, potential gopher tortoise habitat was developed for northeast Florida. Doctoral or Postdoctoral Thesis Eubalaena glacialis North Atlantic North Atlantic right whale Digital Commons University of South Florida (USF)
institution Open Polar
collection Digital Commons University of South Florida (USF)
op_collection_id ftunisfloridatam
language unknown
topic habitat
habitat selection
landsat TM
AVHRR
gap analysis
Monte Carlo
logistic regression
wildlife-habitat relationships
American Studies
Arts and Humanities
spellingShingle habitat
habitat selection
landsat TM
AVHRR
gap analysis
Monte Carlo
logistic regression
wildlife-habitat relationships
American Studies
Arts and Humanities
Keller, Cherie A
Assessment of Resource Selection Using Remote Sensing and Geographic Information Systems (GIS) for Two Vertebrates in Disparate Habitats: the Gopher Tortoise ( Gopherus Polyphemus ) and the North Atlantic Right Whale ( Eubalaena Glacialis )
topic_facet habitat
habitat selection
landsat TM
AVHRR
gap analysis
Monte Carlo
logistic regression
wildlife-habitat relationships
American Studies
Arts and Humanities
description This dissertation is a treatise on spatially-explicit resource selection on two very different vertebrate species. The North Atlantic right whale (Eubalaena glacialis) is the most endangered large whales in the world. Ship strikes and fishing gear entanglement are impediments to recovery. The gopher tortoise (Gopherus polyphemus) is an imperiled species whose upland habitats are shrinking from urban and agricultural development. Determining spatial distribution of important resources is important for conservation strategies. Historical and modern thinking of habitat selection theory and analytical techniques are reviewed and applied to these species. Fine-scale resource selection of sea surface temperature (SST), derived from AVHRR imagery, is evaluated for right whales in the southeastern U. S. calving grounds. Aerial survey data (December-March, 1991-1998) including survey tracklines and right whale locations were entered into a Geographic Information Systems (GIS) for comparing whale use of SST to availability based on search effort. Using Monte Carlo techniques, mean and standard deviation for SSTs and latitudes of whale-sightings were compared to sampling distributions derived from available SSTs and latitudes. From these data, it was concluded that the North Atlantic right whale uses SSTs and latitudes non-randomly. Broad-scale habitat selection for gopher tortoises was evaluated from the 2003 Land Cover/Land Use map (Florida Fish and Wildlife Conservation Commission). Based on land cover and ancillary data, potential gopher tortoise habitat was developed for northeast Florida.
format Doctoral or Postdoctoral Thesis
author Keller, Cherie A
author_facet Keller, Cherie A
author_sort Keller, Cherie A
title Assessment of Resource Selection Using Remote Sensing and Geographic Information Systems (GIS) for Two Vertebrates in Disparate Habitats: the Gopher Tortoise ( Gopherus Polyphemus ) and the North Atlantic Right Whale ( Eubalaena Glacialis )
title_short Assessment of Resource Selection Using Remote Sensing and Geographic Information Systems (GIS) for Two Vertebrates in Disparate Habitats: the Gopher Tortoise ( Gopherus Polyphemus ) and the North Atlantic Right Whale ( Eubalaena Glacialis )
title_full Assessment of Resource Selection Using Remote Sensing and Geographic Information Systems (GIS) for Two Vertebrates in Disparate Habitats: the Gopher Tortoise ( Gopherus Polyphemus ) and the North Atlantic Right Whale ( Eubalaena Glacialis )
title_fullStr Assessment of Resource Selection Using Remote Sensing and Geographic Information Systems (GIS) for Two Vertebrates in Disparate Habitats: the Gopher Tortoise ( Gopherus Polyphemus ) and the North Atlantic Right Whale ( Eubalaena Glacialis )
title_full_unstemmed Assessment of Resource Selection Using Remote Sensing and Geographic Information Systems (GIS) for Two Vertebrates in Disparate Habitats: the Gopher Tortoise ( Gopherus Polyphemus ) and the North Atlantic Right Whale ( Eubalaena Glacialis )
title_sort assessment of resource selection using remote sensing and geographic information systems (gis) for two vertebrates in disparate habitats: the gopher tortoise ( gopherus polyphemus ) and the north atlantic right whale ( eubalaena glacialis )
publisher Digital Commons @ University of South Florida
publishDate 2005
url https://digitalcommons.usf.edu/etd/717
https://digitalcommons.usf.edu/context/etd/article/1716/viewcontent/SFE0001279.pdf
genre Eubalaena glacialis
North Atlantic
North Atlantic right whale
genre_facet Eubalaena glacialis
North Atlantic
North Atlantic right whale
op_source USF Tampa Graduate Theses and Dissertations
op_relation https://digitalcommons.usf.edu/etd/717
https://digitalcommons.usf.edu/context/etd/article/1716/viewcontent/SFE0001279.pdf
op_rights default
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