Extracting environmental histories from sclerochronological structures — Recursive partitioning as a mean to explore multi-elemental composition of fish otolith
International audience During the last decades, ecologists have paid a great deal of attention to the proper techniques to track fish movement in the wild. In this context, otoliths have proved useful and were increasingly used in a wide range of species worldwide. Otolith material incorporates elem...
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Online Access: | https://hal.archives-ouvertes.fr/hal-01901367 https://doi.org/10.1016/j.ecoinf.2015.10.002 |
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ftunivnantes:oai:HAL:hal-01901367v1 2023-05-15T17:02:09+02:00 Extracting environmental histories from sclerochronological structures — Recursive partitioning as a mean to explore multi-elemental composition of fish otolith Vignon, Matthias Ecologie Comportementale et Biologie des Populations de Poissons (ECOBIOP) Institut National de la Recherche Agronomique (INRA)-Université de Pau et des Pays de l'Adour (UPPA) 2015 https://hal.archives-ouvertes.fr/hal-01901367 https://doi.org/10.1016/j.ecoinf.2015.10.002 en eng HAL CCSD Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecoinf.2015.10.002 hal-01901367 https://hal.archives-ouvertes.fr/hal-01901367 doi:10.1016/j.ecoinf.2015.10.002 PRODINRA: 332607 WOS: 000366876400018 ISSN: 1574-9541 Ecological Informatics https://hal.archives-ouvertes.fr/hal-01901367 Ecological Informatics, Elsevier, 2015, 30, pp.159-169. ⟨10.1016/j.ecoinf.2015.10.002⟩ http://www.sciencedirect.com/science/journal/15749541 trace element fish otolith animal ecology kerguelen islands chemical fingerprint chronological clustering regression tree multivariate time serie écologie animale otolithe poisson empreinte biochimique iles kerguelen [SDE.BE]Environmental Sciences/Biodiversity and Ecology info:eu-repo/semantics/article Journal articles 2015 ftunivnantes https://doi.org/10.1016/j.ecoinf.2015.10.002 2022-11-09T01:45:21Z International audience During the last decades, ecologists have paid a great deal of attention to the proper techniques to track fish movement in the wild. In this context, otoliths have proved useful and were increasingly used in a wide range of species worldwide. Otolith material incorporates elements from the surrounding water in a layered manner that preserves the timing of deposition. Elemental composition along otolith centre-edge transects thus represent a permanent record of the growing habitats experienced by the fish throughout its entire lifetime. While the analysis of these elements is of primary importance in fishery management and population ecology, the traditional approaches mostly fail to capture the multivariate nature of structural change in time series data. In this paper, I propose a simple approach aiming at coping with the multi-elemental compositional otolith transect in a multi-scale quantitative manner. More specifically, the proposed recursive partitioning method tries to bias the chronological clustering process by accommodating some form of user-specified constraints based on both intra- and inter-groups characteristics. This allows researchers to focus on biologically relevant information (i.e. the one researcher look for and can interpret). The finding of this study may be considered from the more general perspective of the utility of chronological clustering study of multivariate time series. Chronological clustering based on recursive partition is easily interpretable and directly applicable to detection of hidden discontinuities in any multivariate time series. In a multi-proxy context, it also provides a powerful exploratory tool for assessing the relative importance of cross-correlated variables in structuring the environmental histories, as well as the congruency between variables. Ultimately, this approach demonstrates the actual interest in using advanced processing techniques to fully exploit the rich potential of individual biological archives, such as fish otoliths, to ... Article in Journal/Newspaper Kerguelen Islands Université de Nantes: HAL-UNIV-NANTES Kerguelen Kerguelen Islands Ecological Informatics 30 159 169 |
institution |
Open Polar |
collection |
Université de Nantes: HAL-UNIV-NANTES |
op_collection_id |
ftunivnantes |
language |
English |
topic |
trace element fish otolith animal ecology kerguelen islands chemical fingerprint chronological clustering regression tree multivariate time serie écologie animale otolithe poisson empreinte biochimique iles kerguelen [SDE.BE]Environmental Sciences/Biodiversity and Ecology |
spellingShingle |
trace element fish otolith animal ecology kerguelen islands chemical fingerprint chronological clustering regression tree multivariate time serie écologie animale otolithe poisson empreinte biochimique iles kerguelen [SDE.BE]Environmental Sciences/Biodiversity and Ecology Vignon, Matthias Extracting environmental histories from sclerochronological structures — Recursive partitioning as a mean to explore multi-elemental composition of fish otolith |
topic_facet |
trace element fish otolith animal ecology kerguelen islands chemical fingerprint chronological clustering regression tree multivariate time serie écologie animale otolithe poisson empreinte biochimique iles kerguelen [SDE.BE]Environmental Sciences/Biodiversity and Ecology |
description |
International audience During the last decades, ecologists have paid a great deal of attention to the proper techniques to track fish movement in the wild. In this context, otoliths have proved useful and were increasingly used in a wide range of species worldwide. Otolith material incorporates elements from the surrounding water in a layered manner that preserves the timing of deposition. Elemental composition along otolith centre-edge transects thus represent a permanent record of the growing habitats experienced by the fish throughout its entire lifetime. While the analysis of these elements is of primary importance in fishery management and population ecology, the traditional approaches mostly fail to capture the multivariate nature of structural change in time series data. In this paper, I propose a simple approach aiming at coping with the multi-elemental compositional otolith transect in a multi-scale quantitative manner. More specifically, the proposed recursive partitioning method tries to bias the chronological clustering process by accommodating some form of user-specified constraints based on both intra- and inter-groups characteristics. This allows researchers to focus on biologically relevant information (i.e. the one researcher look for and can interpret). The finding of this study may be considered from the more general perspective of the utility of chronological clustering study of multivariate time series. Chronological clustering based on recursive partition is easily interpretable and directly applicable to detection of hidden discontinuities in any multivariate time series. In a multi-proxy context, it also provides a powerful exploratory tool for assessing the relative importance of cross-correlated variables in structuring the environmental histories, as well as the congruency between variables. Ultimately, this approach demonstrates the actual interest in using advanced processing techniques to fully exploit the rich potential of individual biological archives, such as fish otoliths, to ... |
author2 |
Ecologie Comportementale et Biologie des Populations de Poissons (ECOBIOP) Institut National de la Recherche Agronomique (INRA)-Université de Pau et des Pays de l'Adour (UPPA) |
format |
Article in Journal/Newspaper |
author |
Vignon, Matthias |
author_facet |
Vignon, Matthias |
author_sort |
Vignon, Matthias |
title |
Extracting environmental histories from sclerochronological structures — Recursive partitioning as a mean to explore multi-elemental composition of fish otolith |
title_short |
Extracting environmental histories from sclerochronological structures — Recursive partitioning as a mean to explore multi-elemental composition of fish otolith |
title_full |
Extracting environmental histories from sclerochronological structures — Recursive partitioning as a mean to explore multi-elemental composition of fish otolith |
title_fullStr |
Extracting environmental histories from sclerochronological structures — Recursive partitioning as a mean to explore multi-elemental composition of fish otolith |
title_full_unstemmed |
Extracting environmental histories from sclerochronological structures — Recursive partitioning as a mean to explore multi-elemental composition of fish otolith |
title_sort |
extracting environmental histories from sclerochronological structures — recursive partitioning as a mean to explore multi-elemental composition of fish otolith |
publisher |
HAL CCSD |
publishDate |
2015 |
url |
https://hal.archives-ouvertes.fr/hal-01901367 https://doi.org/10.1016/j.ecoinf.2015.10.002 |
geographic |
Kerguelen Kerguelen Islands |
geographic_facet |
Kerguelen Kerguelen Islands |
genre |
Kerguelen Islands |
genre_facet |
Kerguelen Islands |
op_source |
ISSN: 1574-9541 Ecological Informatics https://hal.archives-ouvertes.fr/hal-01901367 Ecological Informatics, Elsevier, 2015, 30, pp.159-169. ⟨10.1016/j.ecoinf.2015.10.002⟩ http://www.sciencedirect.com/science/journal/15749541 |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecoinf.2015.10.002 hal-01901367 https://hal.archives-ouvertes.fr/hal-01901367 doi:10.1016/j.ecoinf.2015.10.002 PRODINRA: 332607 WOS: 000366876400018 |
op_doi |
https://doi.org/10.1016/j.ecoinf.2015.10.002 |
container_title |
Ecological Informatics |
container_volume |
30 |
container_start_page |
159 |
op_container_end_page |
169 |
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1766055407626747904 |