Evaluating network analysis indicators of ecosystem status in the GULF OF ALASKA
This is the first study on the emergent properties for empirical ecosystem models that have been validated by time series information. Ecosystem models of the western and central Aleutian Islands and Southeast Alaska were used to examine indices of ecosystem status generated from net-work analysis a...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.962.1370 2023-05-15T18:48:37+02:00 Evaluating network analysis indicators of ecosystem status in the GULF OF ALASKA Johanna Jacomina Heymans Villy Christensen The Pennsylvania State University CiteSeerX Archives 2007 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.962.1370 http://www.marinemammal.org/wp-content/pdfs/Heymans%20et%20al%202007.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.962.1370 http://www.marinemammal.org/wp-content/pdfs/Heymans%20et%20al%202007.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.marinemammal.org/wp-content/pdfs/Heymans%20et%20al%202007.pdf text 2007 ftciteseerx 2021-05-23T00:20:18Z This is the first study on the emergent properties for empirical ecosystem models that have been validated by time series information. Ecosystem models of the western and central Aleutian Islands and Southeast Alaska were used to examine indices of ecosystem status generated from net-work analysis and incorporated into Ecopath with Ecosim. Dynamic simulations of the two ecosystems over the past 40 years were employed to examine if these indices reflect the dissimilar changes that occurred in the ecosystems. The results showed that the total systems throughput (TST) and ascendancy (A) followed the climate change signature (Pacific decadal oscillation, PDO) Text Alaska Aleutian Islands Unknown Gulf of Alaska Pacific |
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Open Polar |
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Unknown |
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ftciteseerx |
language |
English |
description |
This is the first study on the emergent properties for empirical ecosystem models that have been validated by time series information. Ecosystem models of the western and central Aleutian Islands and Southeast Alaska were used to examine indices of ecosystem status generated from net-work analysis and incorporated into Ecopath with Ecosim. Dynamic simulations of the two ecosystems over the past 40 years were employed to examine if these indices reflect the dissimilar changes that occurred in the ecosystems. The results showed that the total systems throughput (TST) and ascendancy (A) followed the climate change signature (Pacific decadal oscillation, PDO) |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Johanna Jacomina Heymans Villy Christensen |
spellingShingle |
Johanna Jacomina Heymans Villy Christensen Evaluating network analysis indicators of ecosystem status in the GULF OF ALASKA |
author_facet |
Johanna Jacomina Heymans Villy Christensen |
author_sort |
Johanna Jacomina Heymans |
title |
Evaluating network analysis indicators of ecosystem status in the GULF OF ALASKA |
title_short |
Evaluating network analysis indicators of ecosystem status in the GULF OF ALASKA |
title_full |
Evaluating network analysis indicators of ecosystem status in the GULF OF ALASKA |
title_fullStr |
Evaluating network analysis indicators of ecosystem status in the GULF OF ALASKA |
title_full_unstemmed |
Evaluating network analysis indicators of ecosystem status in the GULF OF ALASKA |
title_sort |
evaluating network analysis indicators of ecosystem status in the gulf of alaska |
publishDate |
2007 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.962.1370 http://www.marinemammal.org/wp-content/pdfs/Heymans%20et%20al%202007.pdf |
geographic |
Gulf of Alaska Pacific |
geographic_facet |
Gulf of Alaska Pacific |
genre |
Alaska Aleutian Islands |
genre_facet |
Alaska Aleutian Islands |
op_source |
http://www.marinemammal.org/wp-content/pdfs/Heymans%20et%20al%202007.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.962.1370 http://www.marinemammal.org/wp-content/pdfs/Heymans%20et%20al%202007.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
_version_ |
1766241777044422656 |