Trends in the Alaskan bottom-trawl fishery from 1993-2015: a GIS-based spatiotemporal analysis ...

The Bering Sea, Aleutian Islands, and Gulf of Alaska yield one of the largest sustainable fishing industries in the world. To ensure continued sustainable practices, the effects of fishing activity on the health of the ecosystem should be actively studied. Bottom-trawl gear is a sustainability conce...

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Main Author: Steves, Carrie Elizabeth author
Format: Thesis
Language:English
Published: University of Southern California Digital Library (USC.DL) 2017
Subjects:
Online Access:https://dx.doi.org/10.25549/usctheses-c40-389333
https://digitallibrary.usc.edu/asset-management/2A3BF1O8VIJO3
id ftdatacite:10.25549/usctheses-c40-389333
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spelling ftdatacite:10.25549/usctheses-c40-389333 2024-03-31T07:52:00+00:00 Trends in the Alaskan bottom-trawl fishery from 1993-2015: a GIS-based spatiotemporal analysis ... Steves, Carrie Elizabeth author 2017 https://dx.doi.org/10.25549/usctheses-c40-389333 https://digitallibrary.usc.edu/asset-management/2A3BF1O8VIJO3 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 2017 ftdatacite https://doi.org/10.25549/usctheses-c40-389333 2024-03-04T12:49:19Z The Bering Sea, Aleutian Islands, and Gulf of Alaska yield one of the largest sustainable fishing industries in the world. To ensure continued sustainable practices, the effects of fishing activity on the health of the ecosystem should be actively studied. Bottom-trawl gear is a sustainability concern due to its direct interaction with the benthic layer. Impact from bottom-trawl fisheries is difficult to assess, particularly over the long-term. Using fishery-dependent observer data from National Marine Fisheries (NMFS) provides insight on the location and the intensity of fishing effort, which can identify areas most exposed to fishing pressure. ? In this study, the spatial and temporal extent of Alaskan bottom-trawl fishing effort in the Bering Sea, Aleutian Islands, and Gulf of Alaska was explored in a space-time cube in ArcGIS Pro v1.4.1 using NMFS data collected between 1993 and 2015. Various statistical techniques were used to examine spatiotemporal autocorrelation and clustering in this data. Results ... Thesis Bering Sea Alaska Aleutian Islands DataCite Metadata Store (German National Library of Science and Technology) Bering Sea Gulf of Alaska
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
Steves, Carrie Elizabeth author
Trends in the Alaskan bottom-trawl fishery from 1993-2015: a GIS-based spatiotemporal analysis ...
topic_facet Geographic Information Science and Technology degree program
Master of Science degree
College of Letters, Arts and Sciences school
description The Bering Sea, Aleutian Islands, and Gulf of Alaska yield one of the largest sustainable fishing industries in the world. To ensure continued sustainable practices, the effects of fishing activity on the health of the ecosystem should be actively studied. Bottom-trawl gear is a sustainability concern due to its direct interaction with the benthic layer. Impact from bottom-trawl fisheries is difficult to assess, particularly over the long-term. Using fishery-dependent observer data from National Marine Fisheries (NMFS) provides insight on the location and the intensity of fishing effort, which can identify areas most exposed to fishing pressure. ? In this study, the spatial and temporal extent of Alaskan bottom-trawl fishing effort in the Bering Sea, Aleutian Islands, and Gulf of Alaska was explored in a space-time cube in ArcGIS Pro v1.4.1 using NMFS data collected between 1993 and 2015. Various statistical techniques were used to examine spatiotemporal autocorrelation and clustering in this data. Results ...
format Thesis
author Steves, Carrie Elizabeth author
author_facet Steves, Carrie Elizabeth author
author_sort Steves, Carrie Elizabeth author
title Trends in the Alaskan bottom-trawl fishery from 1993-2015: a GIS-based spatiotemporal analysis ...
title_short Trends in the Alaskan bottom-trawl fishery from 1993-2015: a GIS-based spatiotemporal analysis ...
title_full Trends in the Alaskan bottom-trawl fishery from 1993-2015: a GIS-based spatiotemporal analysis ...
title_fullStr Trends in the Alaskan bottom-trawl fishery from 1993-2015: a GIS-based spatiotemporal analysis ...
title_full_unstemmed Trends in the Alaskan bottom-trawl fishery from 1993-2015: a GIS-based spatiotemporal analysis ...
title_sort trends in the alaskan bottom-trawl fishery from 1993-2015: a gis-based spatiotemporal analysis ...
publisher University of Southern California Digital Library (USC.DL)
publishDate 2017
url https://dx.doi.org/10.25549/usctheses-c40-389333
https://digitallibrary.usc.edu/asset-management/2A3BF1O8VIJO3
geographic Bering Sea
Gulf of Alaska
geographic_facet Bering Sea
Gulf of Alaska
genre Bering Sea
Alaska
Aleutian Islands
genre_facet Bering Sea
Alaska
Aleutian Islands
op_doi https://doi.org/10.25549/usctheses-c40-389333
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