Using habitat modeling to support changes in shipping regulations within national marine sanctuaries in central California

Understanding habitat preferences for threatened and endangered species is a high priority for spatial management strategies to ensure minimum conflict between human uses of the ocean and wildlife conservation. The purpose of this study was to identify environmental variables that predict occurrence...

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Bibliographic Details
Main Author: Dransfield, Andrea Sara
Other Authors: Geography & Environment
Format: Thesis
Language:English
Published: San Francisco State University 2014
Subjects:
Online Access:http://hdl.handle.net/10211.3/129059
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spelling ftcalifstateuniv:oai:dspace.calstate.edu:10211.3/129059 2023-05-15T16:35:57+02:00 Using habitat modeling to support changes in shipping regulations within national marine sanctuaries in central California Dransfield, Andrea Sara Geography & Environment 2014-10-22T16:17:36Z http://hdl.handle.net/10211.3/129059 en_US eng San Francisco State University http://hdl.handle.net/10211.3/129059 Copyright by Andrea Sara Dransfield, 2013 AS36 2013 GEOG .D73 Thesis 2014 ftcalifstateuniv 2022-04-13T11:14:33Z Understanding habitat preferences for threatened and endangered species is a high priority for spatial management strategies to ensure minimum conflict between human uses of the ocean and wildlife conservation. The purpose of this study was to identify environmental variables that predict occurrences of humpback whales (Megaptera novaeangliae) within Cordell Bank and Gulf of the Farallones National Marine Sanctuaries, California, to assess potential conflict with vessel traffic. I used data collected by the Applied California Current Ecosystem Studies (ACCESS) conducted from 2004 to 2011. Using zero inflated negative binomial regression, I developed predictive models and identified locations repeatedly used by whales to characterize humpback whale habitat within the Sanctuaries. I designated whale encounter rates at 3- km bin intervals as the dependent variable, and bathymetric, surface and mid-water oceanographic data as the independent variables. The resulting models: 1) a reduced model using only surface hydrographic variables and 2) a full model using both surface and mid-water variables; were compared and contrasted. The full model performed significantly better than the reduced model, which underestimated the amount of whale habitat in the northern half of our study area. We compared resulting habitat areas to current and proposed San Francisco Bay Area shipping lane layouts to explore whether proposed changes in routes excluded humpback whale habitat. Our results showed that proposed shipping lane layouts reduced vessel traffic within Sanctuaries and high-use habitat by about 70%, reducing threats to this endangered species. Thesis Humpback Whale Megaptera novaeangliae California State University (CSU): DSpace
institution Open Polar
collection California State University (CSU): DSpace
op_collection_id ftcalifstateuniv
language English
description Understanding habitat preferences for threatened and endangered species is a high priority for spatial management strategies to ensure minimum conflict between human uses of the ocean and wildlife conservation. The purpose of this study was to identify environmental variables that predict occurrences of humpback whales (Megaptera novaeangliae) within Cordell Bank and Gulf of the Farallones National Marine Sanctuaries, California, to assess potential conflict with vessel traffic. I used data collected by the Applied California Current Ecosystem Studies (ACCESS) conducted from 2004 to 2011. Using zero inflated negative binomial regression, I developed predictive models and identified locations repeatedly used by whales to characterize humpback whale habitat within the Sanctuaries. I designated whale encounter rates at 3- km bin intervals as the dependent variable, and bathymetric, surface and mid-water oceanographic data as the independent variables. The resulting models: 1) a reduced model using only surface hydrographic variables and 2) a full model using both surface and mid-water variables; were compared and contrasted. The full model performed significantly better than the reduced model, which underestimated the amount of whale habitat in the northern half of our study area. We compared resulting habitat areas to current and proposed San Francisco Bay Area shipping lane layouts to explore whether proposed changes in routes excluded humpback whale habitat. Our results showed that proposed shipping lane layouts reduced vessel traffic within Sanctuaries and high-use habitat by about 70%, reducing threats to this endangered species.
author2 Geography & Environment
format Thesis
author Dransfield, Andrea Sara
spellingShingle Dransfield, Andrea Sara
Using habitat modeling to support changes in shipping regulations within national marine sanctuaries in central California
author_facet Dransfield, Andrea Sara
author_sort Dransfield, Andrea Sara
title Using habitat modeling to support changes in shipping regulations within national marine sanctuaries in central California
title_short Using habitat modeling to support changes in shipping regulations within national marine sanctuaries in central California
title_full Using habitat modeling to support changes in shipping regulations within national marine sanctuaries in central California
title_fullStr Using habitat modeling to support changes in shipping regulations within national marine sanctuaries in central California
title_full_unstemmed Using habitat modeling to support changes in shipping regulations within national marine sanctuaries in central California
title_sort using habitat modeling to support changes in shipping regulations within national marine sanctuaries in central california
publisher San Francisco State University
publishDate 2014
url http://hdl.handle.net/10211.3/129059
genre Humpback Whale
Megaptera novaeangliae
genre_facet Humpback Whale
Megaptera novaeangliae
op_source AS36 2013 GEOG .D73
op_relation http://hdl.handle.net/10211.3/129059
op_rights Copyright by Andrea Sara Dransfield, 2013
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