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Comparing Distribution of Harbour Porpoises (Phocoena phocoena) Derived from Satellite Telemetry and Passive Acoustic Monitoring

Cetacean monitoring is essential in determining the status of a population. Different monitoring methods should reflect the real trends in abundance and patterns in distribution, and results should therefore ideally be independent of the selected method. Here, we compare two independent methods of d...

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Autores principales: Mikkelsen, Lonnie, Rigét, Frank F., Kyhn, Line A., Sveegaard, Signe, Dietz, Rune, Tougaard, Jakob, Carlström, Julia A. K., Carlén, Ida, Koblitz, Jens C., Teilmann, Jonas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4963116/
https://www.ncbi.nlm.nih.gov/pubmed/27463509
http://dx.doi.org/10.1371/journal.pone.0158788
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author Mikkelsen, Lonnie
Rigét, Frank F.
Kyhn, Line A.
Sveegaard, Signe
Dietz, Rune
Tougaard, Jakob
Carlström, Julia A. K.
Carlén, Ida
Koblitz, Jens C.
Teilmann, Jonas
author_facet Mikkelsen, Lonnie
Rigét, Frank F.
Kyhn, Line A.
Sveegaard, Signe
Dietz, Rune
Tougaard, Jakob
Carlström, Julia A. K.
Carlén, Ida
Koblitz, Jens C.
Teilmann, Jonas
author_sort Mikkelsen, Lonnie
collection PubMed
description Cetacean monitoring is essential in determining the status of a population. Different monitoring methods should reflect the real trends in abundance and patterns in distribution, and results should therefore ideally be independent of the selected method. Here, we compare two independent methods of describing harbour porpoise (Phocoena phocoena) relative distribution pattern in the western Baltic Sea. Satellite locations from 13 tagged harbour porpoises were used to build a Maximum Entropy (MaxEnt) model of suitable habitats. The data set was subsampled to one location every second day, which were sufficient to make reliable models over the summer (Jun-Aug) and autumn (Sep-Nov) seasons. The modelled results were compared to harbour porpoise acoustic activity obtained from 36 static acoustic monitoring stations (C-PODs) covering the same area. The C-POD data was expressed as the percentage of porpoise positive days/hours (the number of days/hours per day with porpoise detections) by season. The MaxEnt model and C-POD data showed a significant linear relationship with a strong decline in porpoise occurrence from west to east. This study shows that two very different methods provide comparable information on relative distribution patterns of harbour porpoises even in a low density area.
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spelling pubmed-49631162016-08-08 Comparing Distribution of Harbour Porpoises (Phocoena phocoena) Derived from Satellite Telemetry and Passive Acoustic Monitoring Mikkelsen, Lonnie Rigét, Frank F. Kyhn, Line A. Sveegaard, Signe Dietz, Rune Tougaard, Jakob Carlström, Julia A. K. Carlén, Ida Koblitz, Jens C. Teilmann, Jonas PLoS One Research Article Cetacean monitoring is essential in determining the status of a population. Different monitoring methods should reflect the real trends in abundance and patterns in distribution, and results should therefore ideally be independent of the selected method. Here, we compare two independent methods of describing harbour porpoise (Phocoena phocoena) relative distribution pattern in the western Baltic Sea. Satellite locations from 13 tagged harbour porpoises were used to build a Maximum Entropy (MaxEnt) model of suitable habitats. The data set was subsampled to one location every second day, which were sufficient to make reliable models over the summer (Jun-Aug) and autumn (Sep-Nov) seasons. The modelled results were compared to harbour porpoise acoustic activity obtained from 36 static acoustic monitoring stations (C-PODs) covering the same area. The C-POD data was expressed as the percentage of porpoise positive days/hours (the number of days/hours per day with porpoise detections) by season. The MaxEnt model and C-POD data showed a significant linear relationship with a strong decline in porpoise occurrence from west to east. This study shows that two very different methods provide comparable information on relative distribution patterns of harbour porpoises even in a low density area. Public Library of Science 2016-07-27 /pmc/articles/PMC4963116/ /pubmed/27463509 http://dx.doi.org/10.1371/journal.pone.0158788 Text en © 2016 Mikkelsen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Mikkelsen, Lonnie
Rigét, Frank F.
Kyhn, Line A.
Sveegaard, Signe
Dietz, Rune
Tougaard, Jakob
Carlström, Julia A. K.
Carlén, Ida
Koblitz, Jens C.
Teilmann, Jonas
Comparing Distribution of Harbour Porpoises (Phocoena phocoena) Derived from Satellite Telemetry and Passive Acoustic Monitoring
title Comparing Distribution of Harbour Porpoises (Phocoena phocoena) Derived from Satellite Telemetry and Passive Acoustic Monitoring
title_full Comparing Distribution of Harbour Porpoises (Phocoena phocoena) Derived from Satellite Telemetry and Passive Acoustic Monitoring
title_fullStr Comparing Distribution of Harbour Porpoises (Phocoena phocoena) Derived from Satellite Telemetry and Passive Acoustic Monitoring
title_full_unstemmed Comparing Distribution of Harbour Porpoises (Phocoena phocoena) Derived from Satellite Telemetry and Passive Acoustic Monitoring
title_short Comparing Distribution of Harbour Porpoises (Phocoena phocoena) Derived from Satellite Telemetry and Passive Acoustic Monitoring
title_sort comparing distribution of harbour porpoises (phocoena phocoena) derived from satellite telemetry and passive acoustic monitoring
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4963116/
https://www.ncbi.nlm.nih.gov/pubmed/27463509
http://dx.doi.org/10.1371/journal.pone.0158788
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