Using self–organizing maps and machine learning models to assess mollusc community structure in relation to physicochemical variables in a West Africa river–estuary system

The poor understanding of changes in mollusc ecology along rivers, especially in West Africa, hampers the implementation of management measures. We used a self–organizing map, indicator species analysis, linear discriminant analysis and a random forest model to distinguish mollusc assemblages, to de...

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Detalles Bibliográficos
Autores principales:	Zinsou Cosme Koudenoukpo, Olaniran Hamed Odountan, Prudenciène Ablawa Agboho, Tatenda Dalu, Bert Van Bocxlaer, Luc Janssens de Bistoven, Antoine Chikou, Thierry Backeljau
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Artificial neural network Ecology Freshwater biodiversity Modelling Mollusc community Tropical river systems QH540-549.5
Acceso en línea:	https://doaj.org/article/9c8f5d7d50b7465e8f3cf376f3c50c83
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Using self–organizing maps and machine learning models to assess mollusc community structure in relation to physicochemical variables in a West Africa river–estuary system

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