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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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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. |
format | Online Article Text |
id | pubmed-4963116 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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