Consulta: subjectFacets:"Dynamic linear model"
Registros recuperados: 2
Data/hora: 27/07/2024 02:15:37

Analyse et modélisation des évolutions à long terme de la biodiversité phytoplanctonique dans les zones côtières sous l’effet des pressions environnementales et anthropiques
Provedor de dados: Institutional Archive of Ifreme (ArchiMer)
Autores: Hernandez Farinas, Tania.
Coastal areas are highly-dynamic systems exposed to the effect of climate variations and human impacts, influencing the community diversity. In these ecosystems, the phytoplankton constitutes the base of food webs and integrates the effects of global changes and quality variations of coastal waters. In this context, the general objective of this study was to assess the long-term changes in the diversity of phytoplankton communities in coastal waters at different dcales and levels of organisation. Firstly, the data collected by the Phytoplankton and Phycotoxin Monitoring Network from the IFREMER was examined to study the temporal variations of the assemblages within the last two decades along the French coast and to assess the relationship with the...
Tipo: Text
Palavras-chave: Variation temporelle; Niche ecologique; Forme de vie; Modele dynamique lineaire; Methode multi-tableaux; Temporal variation; Ecological niche; Life-forms; Dynamic linear model; Multi-table analysis.
Ano: 2015
URL: http://archimer.ifremer.fr/doc/00315/42648/42032.pdf

Temporal changes in the phytoplankton community along the French coast of the eastern English Channel and the southern Bight of the North Sea
Provedor de dados: Institutional Archive of Ifreme (ArchiMer)
Autores: Hernandez- Farinas, Tania; Soudant, Dominique; Barille, Laurent; Belin, Catherine; Lefebvre, Alain; Bacher, Cedric.
Long-term trends in the phytoplankton community along the French coast of the English Channel and southern Bight of the North Sea were studied and related to physico-chemical factors and large-climatic indices. Phytoplankton and hydrological data were acquired through three transects. Sampling took place between 1992 and 2011 as part of the French Phytoplankton Monitoring Network (REPHY) and the Regional Nutrients Monitoring Network (SRN). Trends in time-series were identified with dynamic linear models tailored to environmental monitoring data characteristics (e.g. irregular sampling frequency, missing data). Temporal and spatial patterns in the phytoplankton community were explained with a partial triadic analysis. Relationships between the phytoplankton...
Tipo: Text
Palavras-chave: Climatic indicators; Dynamic linear model; Environmental drivers; Multivariate analysis; Phytoplankton.
Ano: 2014
URL: http://archimer.ifremer.fr/doc/00195/30619/32177.pdf