Crowd intelligence can discern between repertoires of killer whale ecotypes
Call classifications by human observers are often subjective yet they are critical to studies of animal communication, because only the categories that are relevant for the animals themselves actually make sense in terms of correlation to the context. In this paper we test whether independent observ...
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2018
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ftdatacite:10.6084/m9.figshare.7283555.v1 2023-05-15T17:03:25+02:00 Crowd intelligence can discern between repertoires of killer whale ecotypes Danishevskaya, Anastasya Yu. Filatova, Olga A. Samarra, Filipa I P. Miller, Patrick J O. Ford, John K B Yurk, Harald Matkin, Craig O. Hoyt, Erich 2018 https://dx.doi.org/10.6084/m9.figshare.7283555.v1 https://tandf.figshare.com/articles/Crowd_intelligence_can_discern_between_repertoires_of_killer_whale_ecotypes/7283555/1 unknown Taylor & Francis https://dx.doi.org/10.1080/09524622.2018.1538902 https://dx.doi.org/10.6084/m9.figshare.7283555 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Neuroscience Evolutionary Biology FOS Biological sciences 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences Ecology 69999 Biological Sciences not elsewhere classified dataset Dataset 2018 ftdatacite https://doi.org/10.6084/m9.figshare.7283555.v1 https://doi.org/10.1080/09524622.2018.1538902 https://doi.org/10.6084/m9.figshare.7283555 2021-11-05T12:55:41Z Call classifications by human observers are often subjective yet they are critical to studies of animal communication, because only the categories that are relevant for the animals themselves actually make sense in terms of correlation to the context. In this paper we test whether independent observers can correctly detect differences and similarities in killer whale repertoires. We used repertoires with different a priori levels of similarity: from different ecotypes, from different oceans, from different populations within the same ocean, and from different local subpopulations of the same population. Calls from nine killer whale populations/subpopulations were pooled into a joint sample set, and eight independent observers were asked to classify the calls into separate categories. None of the observers’ classifications strongly followed the known phylogeny of the analyzed repertoires. However, some phylogenetic relationships were reflected in the classifications substantially better than others. Most observers correctly separated the calls from two North Pacific ecotypes. Call classifications averaged across multiple observers reflected the known repertoire phylogenies better than individual classifications, and revealed the similarity of repertoires at the level of subpopulations within the same population, or closely related populations. Dataset Killer Whale Killer whale DataCite Metadata Store (German National Library of Science and Technology) Pacific |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Neuroscience Evolutionary Biology FOS Biological sciences 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences Ecology 69999 Biological Sciences not elsewhere classified |
spellingShingle |
Neuroscience Evolutionary Biology FOS Biological sciences 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences Ecology 69999 Biological Sciences not elsewhere classified Danishevskaya, Anastasya Yu. Filatova, Olga A. Samarra, Filipa I P. Miller, Patrick J O. Ford, John K B Yurk, Harald Matkin, Craig O. Hoyt, Erich Crowd intelligence can discern between repertoires of killer whale ecotypes |
topic_facet |
Neuroscience Evolutionary Biology FOS Biological sciences 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences Ecology 69999 Biological Sciences not elsewhere classified |
description |
Call classifications by human observers are often subjective yet they are critical to studies of animal communication, because only the categories that are relevant for the animals themselves actually make sense in terms of correlation to the context. In this paper we test whether independent observers can correctly detect differences and similarities in killer whale repertoires. We used repertoires with different a priori levels of similarity: from different ecotypes, from different oceans, from different populations within the same ocean, and from different local subpopulations of the same population. Calls from nine killer whale populations/subpopulations were pooled into a joint sample set, and eight independent observers were asked to classify the calls into separate categories. None of the observers’ classifications strongly followed the known phylogeny of the analyzed repertoires. However, some phylogenetic relationships were reflected in the classifications substantially better than others. Most observers correctly separated the calls from two North Pacific ecotypes. Call classifications averaged across multiple observers reflected the known repertoire phylogenies better than individual classifications, and revealed the similarity of repertoires at the level of subpopulations within the same population, or closely related populations. |
format |
Dataset |
author |
Danishevskaya, Anastasya Yu. Filatova, Olga A. Samarra, Filipa I P. Miller, Patrick J O. Ford, John K B Yurk, Harald Matkin, Craig O. Hoyt, Erich |
author_facet |
Danishevskaya, Anastasya Yu. Filatova, Olga A. Samarra, Filipa I P. Miller, Patrick J O. Ford, John K B Yurk, Harald Matkin, Craig O. Hoyt, Erich |
author_sort |
Danishevskaya, Anastasya Yu. |
title |
Crowd intelligence can discern between repertoires of killer whale ecotypes |
title_short |
Crowd intelligence can discern between repertoires of killer whale ecotypes |
title_full |
Crowd intelligence can discern between repertoires of killer whale ecotypes |
title_fullStr |
Crowd intelligence can discern between repertoires of killer whale ecotypes |
title_full_unstemmed |
Crowd intelligence can discern between repertoires of killer whale ecotypes |
title_sort |
crowd intelligence can discern between repertoires of killer whale ecotypes |
publisher |
Taylor & Francis |
publishDate |
2018 |
url |
https://dx.doi.org/10.6084/m9.figshare.7283555.v1 https://tandf.figshare.com/articles/Crowd_intelligence_can_discern_between_repertoires_of_killer_whale_ecotypes/7283555/1 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Killer Whale Killer whale |
genre_facet |
Killer Whale Killer whale |
op_relation |
https://dx.doi.org/10.1080/09524622.2018.1538902 https://dx.doi.org/10.6084/m9.figshare.7283555 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.6084/m9.figshare.7283555.v1 https://doi.org/10.1080/09524622.2018.1538902 https://doi.org/10.6084/m9.figshare.7283555 |
_version_ |
1766057292587859968 |