Realised niche and suitability index of toxic phytoplankton species. Dataset

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 minutumPseudo-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.


Environment, Biological oceanography


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


50N, 43S, -5.5E, 1W


Environmental data used for the analysis
697 KoCSVRaw data
Loadings of the variables obtained with the PCA analysis
615 octetsCSVProcessed data
PCA scores of the samples obtained from the PCA analysis
1 MoCSVProcessed data
Phytoplankton abundances used to obtain species niches
342 KoCSVRaw data
How to cite
Guallar Carles, Chapelle Annie, Bacher Cedric (2020). Realised niche and suitability index of toxic phytoplankton species. Dataset. SEANOE.
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.

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