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Spatial pattern in the Eastern Berin...

Wigand, Laura A.

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Spatial pattern in the Eastern Bering Sea: An application of spatial analysis to groundfish abundance along the Bering Sea outer continental margin.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Spatial pattern in the Eastern Bering Sea: An application of spatial analysis to groundfish abundance along the Bering Sea outer continental margin./
Author:	Wigand, Laura A.
Description:	37 p.
Notes:	Source: Masters Abstracts International, Volume: 51-02.
Contained By:	Masters Abstracts International51-02(E).
Subject:	Environmental Management. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1516060
ISBN:	9781267529435

Spatial pattern in the Eastern Bering Sea: An application of spatial analysis to groundfish abundance along the Bering Sea outer continental margin.
Wigand, Laura A.

Spatial pattern in the Eastern Bering Sea: An application of spatial analysis to groundfish abundance along the Bering Sea outer continental margin. - 37 p.

Source: Masters Abstracts International, Volume: 51-02.

Thesis (M.M.A.)--University of Washington, 2012.

As place-based frameworks are increasingly applied to fisheries management, researchers are faced with the need to define ecosystem units and collect data in a manner that will meet this management need. Place-based management approaches, such as ecosystem-based management and marine spatial planning, are explicitly tied to spatial considerations and rely on an understanding of the spatial arrangement of elements within the system and how elements interact. I explore the utility of spatial pattern analysis and spatial statistics for understanding the distribution of marine resources. I focus on the upper shelf and outer slope region of the Eastern Bering Sea continental margin. This region is highly heterogeneous in terms of geomorphology of the shelf break and system of canyons that incise the shelf. I used slope and aspect to divide this region into shelf and slope geomorphic zones and facets and divided this region into a northern and southern portion to explore spatial pattern at a range of scales. I quantified structural heterogeneity with a shape index and surface roughness metric. I used groundfish catch per unit effort (CPUE) trawl survey data to describe and quantify the degree of spatial autocorrelation in this region. I found spatial autocorrelation of groundfish CPUE in the upper shelf and outer slope region of the Eastern Bering Sea continental margin. The clustering pattern was dominated by low-value clustering at the global level. At the local level, low-value clusters were confined to the southern portion of the study area and high- value clusters varied spatially and temporally. Outliers were most commonly found in close proximity to the shelf-slope break. This explicitly spatial method demonstrates the feasibility of this approach in fisheries management.

ISBN: 9781267529435Subjects--Topical Terms:

893809
Environmental Management.

Spatial pattern in the Eastern Bering Sea: An application of spatial analysis to groundfish abundance along the Bering Sea outer continental margin.
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020 $a 9781267529435
035 $a (MiAaPQ)AAI1516060
035 $a AAI1516060
040 $a MiAaPQ $c MiAaPQ
100 1 $a Wigand, Laura A. $3 2101351
245 1 0 $a Spatial pattern in the Eastern Bering Sea: An application of spatial analysis to groundfish abundance along the Bering Sea outer continental margin.
300 $a 37 p.
500 $a Source: Masters Abstracts International, Volume: 51-02.
500 $a Adviser: Terrie Klinger.
502 $a Thesis (M.M.A.)--University of Washington, 2012.
520 $a As place-based frameworks are increasingly applied to fisheries management, researchers are faced with the need to define ecosystem units and collect data in a manner that will meet this management need. Place-based management approaches, such as ecosystem-based management and marine spatial planning, are explicitly tied to spatial considerations and rely on an understanding of the spatial arrangement of elements within the system and how elements interact. I explore the utility of spatial pattern analysis and spatial statistics for understanding the distribution of marine resources. I focus on the upper shelf and outer slope region of the Eastern Bering Sea continental margin. This region is highly heterogeneous in terms of geomorphology of the shelf break and system of canyons that incise the shelf. I used slope and aspect to divide this region into shelf and slope geomorphic zones and facets and divided this region into a northern and southern portion to explore spatial pattern at a range of scales. I quantified structural heterogeneity with a shape index and surface roughness metric. I used groundfish catch per unit effort (CPUE) trawl survey data to describe and quantify the degree of spatial autocorrelation in this region. I found spatial autocorrelation of groundfish CPUE in the upper shelf and outer slope region of the Eastern Bering Sea continental margin. The clustering pattern was dominated by low-value clustering at the global level. At the local level, low-value clusters were confined to the southern portion of the study area and high- value clusters varied spatially and temporally. Outliers were most commonly found in close proximity to the shelf-slope break. This explicitly spatial method demonstrates the feasibility of this approach in fisheries management.
590 $a School code: 0250.
650 4 $a Environmental Management. $3 893809
650 4 $a Environmental Sciences. $3 676987
650 4 $a Water Resource Management. $3 1669219
650 4 $a Agriculture, Fisheries and Aquaculture. $3 1020913
690 $a 0474
690 $a 0768
690 $a 0595
690 $a 0792
710 2 $a University of Washington. $b Marine & Environmental Affairs. $3 2101352
773 0 $t Masters Abstracts International $g 51-02(E).
790 $a 0250
791 $a M.M.A.
792 $a 2012
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1516060