Unknown

Dataset Information

0

Strange attractor of a narwhal (Monodon monoceros).


ABSTRACT: Detecting structures within the continuous diving behavior of marine animals is challenging, and no universal framework is available. We captured such diverse structures using chaos theory. By applying time-delay embedding to exceptionally long dive records (83 d) from the narwhal, we reconstructed the state-space portrait. Using measures of chaos, we detected a diurnal pattern and its seasonal modulation, classified data, and found how sea-ice appearance shifts time budgets. There is more near-surface rest but deeper dives at solar noon, and more intense diving during twilight and at night but to shallower depths (likely following squid); sea-ice appearance reduces rest. The introduced geometrical approach is simple to implement and potentially helpful for mapping and labeling long-term behavioral data, identifying differences between individual animals and species, and detecting perturbations.

SUBMITTER: Podolskiy EA 

PROVIDER: S-EPMC9498936 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

Strange attractor of a narwhal (Monodon monoceros).

Podolskiy Evgeny A EA   Heide-Jørgensen Mads Peter MP  

PLoS computational biology 20220922 9


Detecting structures within the continuous diving behavior of marine animals is challenging, and no universal framework is available. We captured such diverse structures using chaos theory. By applying time-delay embedding to exceptionally long dive records (83 d) from the narwhal, we reconstructed the state-space portrait. Using measures of chaos, we detected a diurnal pattern and its seasonal modulation, classified data, and found how sea-ice appearance shifts time budgets. There is more near-  ...[more]

Similar Datasets

| S-EPMC8396719 | biostudies-literature
| S-EPMC7905160 | biostudies-literature
| PRJNA399349 | ENA
| PRJNA399573 | ENA
| S-EPMC5095189 | biostudies-literature
| PRJNA508363 | ENA
| PRJNA520934 | ENA
| S-EPMC7211449 | biostudies-literature
| S-EPMC9374245 | biostudies-literature
| PRJNA913866 | ENA