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Developing marine habitat suitabilit...

Olsen, Patrick M.

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Developing marine habitat suitability models in the Arctic from remotely-sensed data and Traditional Ecological Knowledge.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Developing marine habitat suitability models in the Arctic from remotely-sensed data and Traditional Ecological Knowledge./
Author:	Olsen, Patrick M.
Description:	50 p.
Notes:	Source: Masters Abstracts International, Volume: 53-01.
Contained By:	Masters Abstracts International53-01(E).
Subject:	Remote sensing. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1557681
ISBN:	9781303955679

Developing marine habitat suitability models in the Arctic from remotely-sensed data and Traditional Ecological Knowledge.
Olsen, Patrick M.

Developing marine habitat suitability models in the Arctic from remotely-sensed data and Traditional Ecological Knowledge. - 50 p.

Source: Masters Abstracts International, Volume: 53-01.

Thesis (M.S.)--University of Idaho, 2014.

This item is not available from ProQuest Dissertations & Theses.

There is a lack of information regarding critical habitat for many marine species, including the bearded seal, an important subsistence species for the indigenous residents of Bering Strait. An objective approach to modeling marine mammal habitat in polar regions using Traditional Ecological Knowledge (TEK) of Alaskan Native hunters is developed to address this gap. The approach substitutes lifetime and cross-generational knowledge of subsistence hunters and their harvest data for observational knowledge gained from formal scientific field surveys of marine mammal sightings. TEK information for summer and fall seasons was transformed to seal presence/absence and used to train Classification Tree Analyses (CTA) of environmental predictor variables to predict suitable habitat for bearded seal in Bering Strait. A Kappa of 0.883 was achieved for habitat classifications. The TEK information used is spatially restricted, but provides a viable, replicable alternative when Western scientific observational data is limited or non-existent.

ISBN: 9781303955679Subjects--Topical Terms:

535394
Remote sensing.

Developing marine habitat suitability models in the Arctic from remotely-sensed data and Traditional Ecological Knowledge.
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020 $a 9781303955679
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100 1 $a Olsen, Patrick M. $3 3175733
245 1 0 $a Developing marine habitat suitability models in the Arctic from remotely-sensed data and Traditional Ecological Knowledge.
300 $a 50 p.
500 $a Source: Masters Abstracts International, Volume: 53-01.
500 $a Adviser: Crystal Kolden.
502 $a Thesis (M.S.)--University of Idaho, 2014.
506 $a This item is not available from ProQuest Dissertations & Theses.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a There is a lack of information regarding critical habitat for many marine species, including the bearded seal, an important subsistence species for the indigenous residents of Bering Strait. An objective approach to modeling marine mammal habitat in polar regions using Traditional Ecological Knowledge (TEK) of Alaskan Native hunters is developed to address this gap. The approach substitutes lifetime and cross-generational knowledge of subsistence hunters and their harvest data for observational knowledge gained from formal scientific field surveys of marine mammal sightings. TEK information for summer and fall seasons was transformed to seal presence/absence and used to train Classification Tree Analyses (CTA) of environmental predictor variables to predict suitable habitat for bearded seal in Bering Strait. A Kappa of 0.883 was achieved for habitat classifications. The TEK information used is spatially restricted, but provides a viable, replicable alternative when Western scientific observational data is limited or non-existent.
590 $a School code: 0089.
650 4 $a Remote sensing. $3 535394
650 4 $a Native American studies. $3 2122730
650 4 $a Ecology. $3 516476
690 $a 0799
690 $a 0740
690 $a 0329
710 2 $a University of Idaho. $b Geography. $3 3175732
773 0 $t Masters Abstracts International $g 53-01(E).
790 $a 0089
791 $a M.S.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1557681