The application of GIS and spatiotemporal analyses to investigations of unusual marine mammal strandings and mortality events
Abstract In 2006–2007, an unusually high number of harbor porpoises ( Phocoena phocoena ) stranded along the Washington and Oregon coastlines. Spatiotemporal analyses were used to examine their ability to detect clusters of porpoise strandings during an unusual mortality event (UME) in the Pacific N...
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crwiley:10.1111/j.1748-7692.2011.00507.x 2023-12-03T10:29:08+01:00 The application of GIS and spatiotemporal analyses to investigations of unusual marine mammal strandings and mortality events Norman, Stephanie A. Huggins, Jessie Carpenter, Tim E. Case, James T. Lambourn, Dyanna M. Rice, Jim Calambokidis, John Gaydos, Joseph K. Hanson, M. Bradley Duffield, Deborah A. Dubpernell, Sandra Berta, Susan Klope, Matt 2011 http://dx.doi.org/10.1111/j.1748-7692.2011.00507.x https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1748-7692.2011.00507.x https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1748-7692.2011.00507.x en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Marine Mammal Science volume 28, issue 3 ISSN 0824-0469 1748-7692 Aquatic Science Ecology, Evolution, Behavior and Systematics journal-article 2011 crwiley https://doi.org/10.1111/j.1748-7692.2011.00507.x 2023-11-09T14:36:53Z Abstract In 2006–2007, an unusually high number of harbor porpoises ( Phocoena phocoena ) stranded along the Washington and Oregon coastlines. Spatiotemporal analyses were used to examine their ability to detect clusters of porpoise strandings during an unusual mortality event (UME) in the Pacific Northwest using stranding location data. Strandings were evaluated as two separate populations, outer coast and inland waters. The presence of global clustering was evaluated using the Knox spatiotemporal test, and the presence of local clusters was investigated using a spatiotemporal scan statistic (space–time permutation). There was evidence of global clustering, but no local clustering, supporting the hypothesis that strandings were due to more varied etiologies instead of localized causes. Further analyses at subregional levels, and concurrently assessing environmental factors, might reveal additional geographic distribution patterns. This article describes the spatial analytical tools applied in this study and how they can help elucidate the spatiotemporal epidemiology of other UMEs and assist in determining their causes. More than one spatial analytical technique should be used if the study objective is to detect and describe clustering in time and space and to generate hypotheses regarding causation of marine mammal disease and stranding events. Article in Journal/Newspaper Phocoena phocoena Wiley Online Library (via Crossref) Pacific Marine Mammal Science 28 3 |
institution |
Open Polar |
collection |
Wiley Online Library (via Crossref) |
op_collection_id |
crwiley |
language |
English |
topic |
Aquatic Science Ecology, Evolution, Behavior and Systematics |
spellingShingle |
Aquatic Science Ecology, Evolution, Behavior and Systematics Norman, Stephanie A. Huggins, Jessie Carpenter, Tim E. Case, James T. Lambourn, Dyanna M. Rice, Jim Calambokidis, John Gaydos, Joseph K. Hanson, M. Bradley Duffield, Deborah A. Dubpernell, Sandra Berta, Susan Klope, Matt The application of GIS and spatiotemporal analyses to investigations of unusual marine mammal strandings and mortality events |
topic_facet |
Aquatic Science Ecology, Evolution, Behavior and Systematics |
description |
Abstract In 2006–2007, an unusually high number of harbor porpoises ( Phocoena phocoena ) stranded along the Washington and Oregon coastlines. Spatiotemporal analyses were used to examine their ability to detect clusters of porpoise strandings during an unusual mortality event (UME) in the Pacific Northwest using stranding location data. Strandings were evaluated as two separate populations, outer coast and inland waters. The presence of global clustering was evaluated using the Knox spatiotemporal test, and the presence of local clusters was investigated using a spatiotemporal scan statistic (space–time permutation). There was evidence of global clustering, but no local clustering, supporting the hypothesis that strandings were due to more varied etiologies instead of localized causes. Further analyses at subregional levels, and concurrently assessing environmental factors, might reveal additional geographic distribution patterns. This article describes the spatial analytical tools applied in this study and how they can help elucidate the spatiotemporal epidemiology of other UMEs and assist in determining their causes. More than one spatial analytical technique should be used if the study objective is to detect and describe clustering in time and space and to generate hypotheses regarding causation of marine mammal disease and stranding events. |
format |
Article in Journal/Newspaper |
author |
Norman, Stephanie A. Huggins, Jessie Carpenter, Tim E. Case, James T. Lambourn, Dyanna M. Rice, Jim Calambokidis, John Gaydos, Joseph K. Hanson, M. Bradley Duffield, Deborah A. Dubpernell, Sandra Berta, Susan Klope, Matt |
author_facet |
Norman, Stephanie A. Huggins, Jessie Carpenter, Tim E. Case, James T. Lambourn, Dyanna M. Rice, Jim Calambokidis, John Gaydos, Joseph K. Hanson, M. Bradley Duffield, Deborah A. Dubpernell, Sandra Berta, Susan Klope, Matt |
author_sort |
Norman, Stephanie A. |
title |
The application of GIS and spatiotemporal analyses to investigations of unusual marine mammal strandings and mortality events |
title_short |
The application of GIS and spatiotemporal analyses to investigations of unusual marine mammal strandings and mortality events |
title_full |
The application of GIS and spatiotemporal analyses to investigations of unusual marine mammal strandings and mortality events |
title_fullStr |
The application of GIS and spatiotemporal analyses to investigations of unusual marine mammal strandings and mortality events |
title_full_unstemmed |
The application of GIS and spatiotemporal analyses to investigations of unusual marine mammal strandings and mortality events |
title_sort |
application of gis and spatiotemporal analyses to investigations of unusual marine mammal strandings and mortality events |
publisher |
Wiley |
publishDate |
2011 |
url |
http://dx.doi.org/10.1111/j.1748-7692.2011.00507.x https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1748-7692.2011.00507.x https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1748-7692.2011.00507.x |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Phocoena phocoena |
genre_facet |
Phocoena phocoena |
op_source |
Marine Mammal Science volume 28, issue 3 ISSN 0824-0469 1748-7692 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1111/j.1748-7692.2011.00507.x |
container_title |
Marine Mammal Science |
container_volume |
28 |
container_issue |
3 |
_version_ |
1784254277786533888 |