Incorporating automated SPCC into song structure comparison of geographically isolated humpback whale populations

Since recordings of humpback whale (Megaptera novaeangliae) vocalizations were first heard 68 years ago off the coast of Oahu, scientists have been studying the complexity of whale song and the significance of vocalizations in whale behavior and culture. Over time, the methods for quantifying humpba...

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Main Author: Clotfelter, Avery
Format: Text
Language:unknown
Published: UVM ScholarWorks 2021
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Online Access:https://scholarworks.uvm.edu/src/2020/marinebiology/6
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spelling ftunivermont:oai:scholarworks.uvm.edu:src-1668 2023-07-02T03:32:31+02:00 Incorporating automated SPCC into song structure comparison of geographically isolated humpback whale populations Clotfelter, Avery 2021-07-02T15:41:41Z https://scholarworks.uvm.edu/src/2020/marinebiology/6 unknown UVM ScholarWorks https://scholarworks.uvm.edu/src/2020/marinebiology/6 UVM Student Research Conference text 2021 ftunivermont 2023-06-13T18:33:57Z Since recordings of humpback whale (Megaptera novaeangliae) vocalizations were first heard 68 years ago off the coast of Oahu, scientists have been studying the complexity of whale song and the significance of vocalizations in whale behavior and culture. Over time, the methods for quantifying humpback whale song structure have solidified into the widely practiced approach of separating songs into nested hierarchical themes, phrases, and units. Despite a clear stratification in whale songs, analysis of structures and similarity between populations has largely remained a manual process, requiring substantial time and resources. This study seeks to test the viability of automated spectrogram cross-correlation (SPCC) in quantifying relationships between individual humpback whale songs, using the Rstudio package AMMonitor. Automated SPCC is frequently used in birdsong analysis but has not been incorporated into whale research, likely due to the complexity and length of whale songs. The main goal is to test SPCC in the comparison of whale songs from two geographically isolated populations, the Central American (CA) and Breeding Stock-G (BSG) populations that winters off the west coast of Costa Rica. No research has yet shown evidence for cross-equatorial acoustic connectivity, but literature suggests exchange can occur with very minimal acoustic contact. As a result, I hypothesize song elements are culturally transmitted between CA and BSG populations during the breeding season. Understanding the extent to which geographically isolated populations can transmit song elements, as well as testing the viability of automated analysis is paramount to future research by broadening the scope of research that is considered and paving the way for more efficient analysis strategies of humpback whale culture. Text Humpback Whale Megaptera novaeangliae The University of Vermont: ScholarWorks @ UVM
institution Open Polar
collection The University of Vermont: ScholarWorks @ UVM
op_collection_id ftunivermont
language unknown
description Since recordings of humpback whale (Megaptera novaeangliae) vocalizations were first heard 68 years ago off the coast of Oahu, scientists have been studying the complexity of whale song and the significance of vocalizations in whale behavior and culture. Over time, the methods for quantifying humpback whale song structure have solidified into the widely practiced approach of separating songs into nested hierarchical themes, phrases, and units. Despite a clear stratification in whale songs, analysis of structures and similarity between populations has largely remained a manual process, requiring substantial time and resources. This study seeks to test the viability of automated spectrogram cross-correlation (SPCC) in quantifying relationships between individual humpback whale songs, using the Rstudio package AMMonitor. Automated SPCC is frequently used in birdsong analysis but has not been incorporated into whale research, likely due to the complexity and length of whale songs. The main goal is to test SPCC in the comparison of whale songs from two geographically isolated populations, the Central American (CA) and Breeding Stock-G (BSG) populations that winters off the west coast of Costa Rica. No research has yet shown evidence for cross-equatorial acoustic connectivity, but literature suggests exchange can occur with very minimal acoustic contact. As a result, I hypothesize song elements are culturally transmitted between CA and BSG populations during the breeding season. Understanding the extent to which geographically isolated populations can transmit song elements, as well as testing the viability of automated analysis is paramount to future research by broadening the scope of research that is considered and paving the way for more efficient analysis strategies of humpback whale culture.
format Text
author Clotfelter, Avery
spellingShingle Clotfelter, Avery
Incorporating automated SPCC into song structure comparison of geographically isolated humpback whale populations
author_facet Clotfelter, Avery
author_sort Clotfelter, Avery
title Incorporating automated SPCC into song structure comparison of geographically isolated humpback whale populations
title_short Incorporating automated SPCC into song structure comparison of geographically isolated humpback whale populations
title_full Incorporating automated SPCC into song structure comparison of geographically isolated humpback whale populations
title_fullStr Incorporating automated SPCC into song structure comparison of geographically isolated humpback whale populations
title_full_unstemmed Incorporating automated SPCC into song structure comparison of geographically isolated humpback whale populations
title_sort incorporating automated spcc into song structure comparison of geographically isolated humpback whale populations
publisher UVM ScholarWorks
publishDate 2021
url https://scholarworks.uvm.edu/src/2020/marinebiology/6
genre Humpback Whale
Megaptera novaeangliae
genre_facet Humpback Whale
Megaptera novaeangliae
op_source UVM Student Research Conference
op_relation https://scholarworks.uvm.edu/src/2020/marinebiology/6
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