seanoe:75706 data@seanoe.org 2021-05-12 ISO 19115:2003/19139 1.0 Realised niche and suitability index of toxic phytoplankton species. Dataset 2020-09-03 2021-05-12 Guallar Carles, Chapelle Annie, Bacher Cedric (2020). Realised niche and suitability index of toxic phytoplankton species. Dataset. SEANOE. https://doi.org/10.17882/75706 In addition to properly cite this dataset, it would be appreciated that the following work(s) be cited too, when using this dataset in a publication : Guallar C, Chapelle A, Bacher C (2021). Realised niche and suitability index highlight spatial and temporal distribution of toxic phytoplankton species. Marine Ecology Progress Series, 662, 15-34. https://doi.org/10.3354/meps13597 Understanding the spatial and temporal preferences of toxic phytoplankton species is of paramount importance in managing and predicting harmful events in aquatic ecosystems. In this study we address the realised niche of the species Alexandrium minutum, Pseudo-nitzschia fraudulenta and P. australis. We used them to highlight distribution patterns at different scales and determine possible drivers. To achieve this, we have developed original procedures coupling niche theory and habitat suitability modelling using abundance data in four consecutive steps: 1) Estimate the realised niche applying kernel functions. 2) Assess differences between the species’ niche as a whole and at the local level. 3) Develop habitat and temporal suitability models using niche overlap procedures. 4) Explore species temporal and spatial distributions to highlight possible drivers. Data used are species abundance and environmental variables collected over 27 years (1988-2014) and include 139 coastal water sampling sites along the French Atlantic coast. Results show that A. minutum and P. australis niches are very different, although both species have preference for warmer months. They both respond to decadal summer NAO but in the opposite way. P. fraudulenta realised niche lies in between the two other species niches. It also prefers warmer months but does not respond to decadal summer NAO. The Brittany peninsula is now classified as an area of prevalence for the three species. The methodology used here will allow to anticipate species distribution in the event of future environmental challenges resulting from climate change scenarios. The authors would like to thank the REPHY and SBR monitoring networks for providing phytoplankton and environmental data and all the members involved, especially to Elisabeth Nezan for providing expertise support. We also thank CDOCO for providing river flow data. Data were also successively collected in the framework of the following projects: FINAL, VELYGER, PARALEX and DAOULEX. The authors also wish to thank Francis Gohin and Philippe Bryère for providing satellite data. GUALLAR Carles Universitat de Barcelona, Spain Ifremer, France CHAPELLE Annie Ifremer, France BACHER Cedric Ifremer, France SEANOE https://www.seanoe.org/data/00645/75706/illustration.gif Niche representation of the three phytoplankton species on the environmental space defined with the principal component analysis Alexandrium minutum habitat suitability model harmful algal bloom niche overlap Pseudo-nitzschia australis Pseudo-nitzschia fraudulenta realised niche kernel functions REPHY time-series phytoplankton France multivariate analysis principal component analysis temperature salinity irradiance river flow turbidity monitoring program Environment Biological oceanography Phytoplankton ODATIS aggregation parameters and Essential Variable names 2024-09-16 geonetwork.thesaurus.external.theme.NVS.OD1 Environment Biological oceanography SeaDataNet Parameter Disciplines 2021-04-07 geonetwork.thesaurus.external.parameter.NVS.P08 Analysis data Type de jeux de donnée ODATIS 2024-10-15 geonetwork.thesaurus.local.theme.type_jeux_donnee CC-BY (Creative Commons - Attribution) Realised niche and suitability index highlight spatial and temporal distribution of toxic phytoplankton species 2021 Inter-Research Science Center Guallar C Chapelle A Bacher C 10.3354/meps13597 oceans 1.0 -5.5 43.0 50.0 1988 2014 CSV https://www.seanoe.org/data/00645/75706/data/76945.csv WWW:DOWNLOAD-1.0-link--download Raw data Environmental data used for the analysis - 697 KB https://www.seanoe.org/data/00645/75706/data/76946.csv WWW:DOWNLOAD-1.0-link--download Processed data Loadings of the variables obtained with the PCA analysis - 615 bytes https://www.seanoe.org/data/00645/75706/data/76947.csv WWW:DOWNLOAD-1.0-link--download Processed data PCA scores of the samples obtained from the PCA analysis - 1 MB https://www.seanoe.org/data/00645/75706/data/76948.csv WWW:DOWNLOAD-1.0-link--download Raw data Phytoplankton abundances used to obtain species niches - 342 KB https://doi.org/10.17882/75706 WWW:LINK-1.0-http--metadata-URL DOI of the product https://www.seanoe.org/data/00645/75706/ rel-canonical Seanoe