Résumé : Publiée dans le cadre du premier Congrès international d'histoire coloniale à Paris
Siècle(s) traité(s) : 20
Droits : Domaine public
Provenance : Ville de Pointe-à-Pitre. Réseau des bibliothèques
Permalien : http://www.manioc.org/patrimon/PAP11103
PAP11103

Éditeur(s) : [S.l.] : Murray
Siècle(s) traité(s) : 15
Droits : Domaine public
Provenance : Université des Antilles. Service commun de la documentation
Permalien : http://www.manioc.org/patrimon/HASH2cabbb39c250663de04713
HASH2cabbb39c250663de04713

Éditeur(s) : HAL CCSD Ecological Society of America
Résumé : Reliable assessment of fish origin is of critical importance for exploited species, since nursery areas must be identified and protected to maintain recruitment to the adult stock. During the last two decades, otolith chemical signatures (or "fingerprints") have been increasingly used as tools to discriminate between coastal habitats. However, correct assessment of fish origin from otolith fingerprints depends on various environmental and methodological parameters, including the choice of the statistical method used to assign fish to unknown origin. Among the available methods of classification, Linear Discriminant Analysis (LDA) is the most frequently used, although it assumes data are multivariate normal with homogeneous within-group dispersions, conditions that are not always met by otolith chemical data, even after transformation. Other less constrained classification methods are available, but there is a current lack of comparative analysis in applications to otolith microchemistry. Here, we assessed stock identification accuracy for four classification methods (LDA, Quadratic Discriminant Analysis [QDA], Random Forests [RF], and Artificial Neural Networks [ANN]), through the use of three distinct data sets. In each case, all possible combinations of chemical elements were examined to identify the elements to be used for optimal accuracy in fish assignment to their actual origin. Our study shows that accuracy differs according to the model and the number of elements considered. Best combinations did not include all the elements measured, and it was not possible to define an ad hoc multielement combination for accurate site discrimination. Among all the models tested, RF and ANN performed best, especially for complex data sets (e. g., with numerous fish species and/or chemical elements involved). However, for these data, RF was less time-consuming and more interpretable than ANN, and far more efficient and less demanding in terms of assumptions than LDA or QDA. Therefore, when LDA and QDA assumptions cannot be reached, the use of machine learning methods, such as RF, should be preferred for stock assessment and nursery identification based on otolith microchemistry, especially when data set include multispecific otolith signatures and/or many chemical elements.
ISSN: 1051-0761

hal-00644549
https://hal.archives-ouvertes.fr/hal-00644549
DOI : 10.1890/09-1887.1

Éditeur(s) : Paris : Firmin-Didot
Siècle(s) traité(s) : 16
Droits : Domaine public
Provenance : Collectivité territoriale de Martinique. Bibliothèque Schoelcher
Permalien : http://www.manioc.org/patrimon/SCH13176
SCH13176

Éditeur(s) : La Habana : Imprenta "El siglo XX"

Droits : Domaine public
Provenance : Institut des Hautes Études de l'Amérique latine, Bibliothèque Pierre-Monbeig
Permalien : http://www.manioc.org/patrimon/IHE14024
IHE14024

Éditeur(s) : [S.l.] : Murray
Siècle(s) traité(s) : 15
Droits : Domaine public
Provenance : Université des Antilles. Service commun de la documentation
Permalien : http://www.manioc.org/patrimon/HASH117f75b891912290c62713
HASH117f75b891912290c62713

Éditeur(s) : São Paulo : Companhia editora nacional
Extrait de : Brasiliana
Description : Le document imprimé appartient à la collection "Brasiliana : bibliotheca pedagogica brasileira", Série 5, vol. 161

Droits : Domaine public
Provenance : Institut des Hautes Études de l'Amérique latine, Bibliothèque Pierre-Monbeig
Permalien : http://www.manioc.org/patrimon/IHE14029
IHE14029

Description : Henry Ternaux-Compans énonce et analyse les nombreuses tentatives de colonisation de la Guyane par le Français. Il propose des explications à ces échecs et envisage des solutions afin de peupler cette colonie et ainsi la développer à un niveau comparable à celui des Anglais et des Hollandais.
Siècle(s) traité(s) : 19
Droits : Domaine public
Provenance : Collectivité territoriale de Guyane. Bibliothèque Alexandre-Franconie
Permalien : http://www.manioc.org/patrimon/HASH0179384de7fe24a2c4b46e89
HASH0179384de7fe24a2c4b46e89