Using volunteered geographic information to model blue whale foraging habitat, Southern California Bight ...

Using volunteered geographic information (VGI) to model blue whale (Balaenoptera musculus) foraging habitat, this thesis assesses the utility of citizen science in cetacean research and marine spatial management. A unique and new data source on whale locations, observation data collected voluntarily...

Full description

Bibliographic Details
Main Author: Bissell, Matthew W. author
Format: Thesis
Language:English
Published: University of Southern California Digital Library (USC.DL) 2013
Subjects:
Online Access:https://dx.doi.org/10.25549/usctheses-c3-331686
https://digitallibrary.usc.edu/asset-management/2A3BF1LXW3VD
id ftdatacite:10.25549/usctheses-c3-331686
record_format openpolar
spelling ftdatacite:10.25549/usctheses-c3-331686 2024-03-31T07:51:50+00:00 Using volunteered geographic information to model blue whale foraging habitat, Southern California Bight ... Bissell, Matthew W. author 2013 https://dx.doi.org/10.25549/usctheses-c3-331686 https://digitallibrary.usc.edu/asset-management/2A3BF1LXW3VD en eng University of Southern California Digital Library (USC.DL) Geographic Information Science and Technology degree program Master of Science degree College of Letters, Arts and Sciences school thesis Dissertation Thesis 2013 ftdatacite https://doi.org/10.25549/usctheses-c3-331686 2024-03-04T12:42:22Z Using volunteered geographic information (VGI) to model blue whale (Balaenoptera musculus) foraging habitat, this thesis assesses the utility of citizen science in cetacean research and marine spatial management. A unique and new data source on whale locations, observation data collected voluntarily by whale-watching vessels, was procured, compiled, and digitized. The utility of this newfound dataset was investigated through its use in probabilistic habitat suitability analyses and description of species phenology. A statistical analysis of whale observations was used to quantify seasonal variability of three common baleen whale species within the study area. Among these, blue whales exhibit the highest degree of seasonal variability with a mean seasonal abundance occurring in late July. Maximum entropy modeling was used to illustrate potential blue whale foraging areas based on three environmental variables: bathymetry, sea surface temperature, and chlorophyll-a concentrations. Spatial patterns of whale ... Thesis Balaenoptera musculus baleen whale Blue whale DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Geographic Information Science and Technology degree program
Master of Science degree
College of Letters, Arts and Sciences school
spellingShingle Geographic Information Science and Technology degree program
Master of Science degree
College of Letters, Arts and Sciences school
Bissell, Matthew W. author
Using volunteered geographic information to model blue whale foraging habitat, Southern California Bight ...
topic_facet Geographic Information Science and Technology degree program
Master of Science degree
College of Letters, Arts and Sciences school
description Using volunteered geographic information (VGI) to model blue whale (Balaenoptera musculus) foraging habitat, this thesis assesses the utility of citizen science in cetacean research and marine spatial management. A unique and new data source on whale locations, observation data collected voluntarily by whale-watching vessels, was procured, compiled, and digitized. The utility of this newfound dataset was investigated through its use in probabilistic habitat suitability analyses and description of species phenology. A statistical analysis of whale observations was used to quantify seasonal variability of three common baleen whale species within the study area. Among these, blue whales exhibit the highest degree of seasonal variability with a mean seasonal abundance occurring in late July. Maximum entropy modeling was used to illustrate potential blue whale foraging areas based on three environmental variables: bathymetry, sea surface temperature, and chlorophyll-a concentrations. Spatial patterns of whale ...
format Thesis
author Bissell, Matthew W. author
author_facet Bissell, Matthew W. author
author_sort Bissell, Matthew W. author
title Using volunteered geographic information to model blue whale foraging habitat, Southern California Bight ...
title_short Using volunteered geographic information to model blue whale foraging habitat, Southern California Bight ...
title_full Using volunteered geographic information to model blue whale foraging habitat, Southern California Bight ...
title_fullStr Using volunteered geographic information to model blue whale foraging habitat, Southern California Bight ...
title_full_unstemmed Using volunteered geographic information to model blue whale foraging habitat, Southern California Bight ...
title_sort using volunteered geographic information to model blue whale foraging habitat, southern california bight ...
publisher University of Southern California Digital Library (USC.DL)
publishDate 2013
url https://dx.doi.org/10.25549/usctheses-c3-331686
https://digitallibrary.usc.edu/asset-management/2A3BF1LXW3VD
genre Balaenoptera musculus
baleen whale
Blue whale
genre_facet Balaenoptera musculus
baleen whale
Blue whale
op_doi https://doi.org/10.25549/usctheses-c3-331686
_version_ 1795030615736713216