Sakina-Dorothée AYATA

2024

• 32. Richon C, Wagner C, Sunderland E, Tagliabue A, Ayata SD. (2024) A biogeography of zooplankton stress factors in the global surface ocean. One Earth. 7(1), 146-160. https://doi.org/10.1016/j.oneear.2023.12.002
• 31. Maps F, Storożenko PP, Świeżewski J, Ayata SD (2024) Automatic estimation of lipid content from in situ images of Arctic copepods using machine learning. Journal of Plankton Research. 46(1), 41–47, https://doi.org/10.1093/plankt/fbad048
• 30. Perhirin M, Gossner H, Godfrey J, Johnson R, Blanco-Bercial L*, Ayata SD*. (2023) Morphological and taxonomic diversity of mesozooplankton is an important driver of carbon export fluxes in the ocean. Molecular Ecology Ressources. 24, e13907. https://doi.org/10.1111/1755-0998.13907 *co-derniers auteurs.

2023

• 29. Beck M, Cailleton C, Guidi L, Desnos C, Jalabert L, Elineau A, Stemmann L, Ayata SD*, Irisson JO*. (2023) Morphological diversity increases with decreasing resources along a zooplankton time series. Proc. R. Soc. B. 290(211), https://doi.org/10.1098/rspb.2023.2109 *co-derniers auteurs.
• 28. Vilgrain L, Maps F, Basedow S, Trudnowska E, Madoui MA, Niehoff B, Ayata SD. Copepods’ true colors : astaxanthin pigmentation as an indicator of fitness. Ecosphere. 14(6): e4489. https://doi.org/10.1002/ecs2.4489
• 27. Rizos I, Debeljak P, Finet T, Klein D, Ayata SD, Not F, Bittner L (2023). Beyond the limits of the unassi- gned protist microbiome : inferring large-scale spatio-temporal patterns of Syndiniales marine parasites. ISME Communications. 3, 16. https://doi.org/10.1038/s43705-022-00203-7

2022

• 26. Da Silva O, Ayata SD, Ser-Giacomi E, Leconte J, Pelletier E, Fauvelot C, Madoui MA, Guidi L, Lombard F, Bittner L (2022) Genomic differentiation of three pico-phytoplankton species in the Mediterranean Sea. Environmental Microbiology, 1-14. Available from: https://doi.org/10.1111/1462-2920.16171
• 25. Orenstein E, Ayata SD, Maps F, et al. Machine learning techniques to characterize functional traits of plankton from image data. Limnology & Oceanography. 67: 1647-1669 https://doi.org/10.1002/lno.12101
• 24. Sonnet V, Guidi L, Mouw CB, Puggioni G, Ayata SD (2022) Length, width, shape regularity, and chain structure: time series analysis of phytoplankton morphology from imagery. Limnology & Oceanography.67:1850-1864. https://doi.org/10.1002/lno.12171
• 23. Soviadan YD, Benedetti F, Brandao MC, Ayata SD, Irisson JO, Kiko R, Lombard F, Gnandi K, Stemmann L. (2022) Contrasted patterns of mesozooplankton community composition associated with vertical fluxes in the upper kilometer of the global ocean. Progress in Oceanography. https://doi.org/10.1016/j.pocean.2021.102717
• 22. Irisson JO, Ayata SD, Lindsay DJ, Karp-Boss L, Stemmann L. (2022) Machine Learning for the study of plankton and marine snow from images. Annual Reviews of Marine Sciences, volume 14. https://doi.org/10.1146/annurev-marine-041921-013023

2021

• 21. Faure E, Ayata SD*, Bittner L* (2021) Towards omics-based predictions of planktonic functional composition from environmental data. Nature Communications. 12, 4361 (2021). https://doi.org/10.1038/s41467-021-24547-1 *co-last authors.
• 20. Vilgrain L, Maps F, Picheral M, Babin M, Irisson JO*, Ayata SD* (2021) Trait-based approach on zooplankton individual images reveals contrasted ecological patterns along ice melt dynamics. Limnology & Oceanography. 66: 1155-1167. https://doi.org/10.1002/lno.11672 *co-last authors.
• 19. Martini S, Faure E, Larras F, Boye A, Aberle N, Bacouillard L, Beisner B, Bittner L, Castella E, Danger M, Gauthier O, Karp-Boss L, Lombard F, Maps F, Stemmann L, Thiébaut E, Usseglio-Polatera P, Vogt M, Laviale M*, Ayata SD* (2021) Trait-based approaches : a common framework for freshwater and marine ecologists. Limnology & Oceanography. 66: 965-994. https://doi.org/10.1002/lno.11655 *co-last authors.

2019

• 18. Lombard F et al. (2019). Globally consistent quantitative observations of planktonic ecosystems. Front. Mar. Sci. https://doi.org/10.3389/fmars.2019.00196
• 17. Faure E, Not F , Benoiston AS, Labadie K, Bittner L*, Ayata SD* (2019). Mixotrophic protists display contrasted biogeographies in the global ocean. ISME Journal 13 : 1072-1083. *co-last authors.
• 16. Benedetti F, Ayata SD, Irisson JO, Adloff F, Guilhaumon F (2019). Climate change may have minor impact on zooplankton functional diversity in the Mediterranean Sea. Diversity and Distributions 25 : 568-581. https://doi.org/10.1111/ddi.12857

2018

• 15. Benedetti F, Vogt M, Righetti D, Guilhaumon F, Ayata SD (2018). Do functional groups of copepods differ in their ecological niches ? Journal of Biogeography 45 : 604-616.
• 14. Ayata SD*, Irisson JO*, Aubert A, Berline L, Dutay JC, Mayot N, Nieblas AE, D’Ortenzio F, Palmiéri J, Reygondeau G, Rossi V, Guieu C (2018). Regionalisation of the Mediterranean basin, a MERMEX synthesis. Progress in Oceanography 163 : 7-20. *co-first authors.
• 13. Benedetti F, Guilhaumon F, Adloff F, Ayata SD (2018) Investigating uncertainties in zooplankton composition shifts under climate change scenarios in the Mediterranean Sea. Ecography 41 : 345-360.

2017

• 12. Chust G, Vogt M, Benedetti F, [...], , Benoiston AS, [...], Ayata SD (2017) Mare incognitum : A glimpse into the future plankton diversity and ecology. Frontiers in Marine Science 4 : 68.
• 11. Reygondeau G, Guieu C, Irisson JO, Benedetti F, Ayata SD, Gasparini S, Koubbi P (2017) Biogeochemical regions of the Mediterranean Sea : an objective multidimensional and multivariate environmental approach. Progress in Oceanography 151 : 138-148.

2016

• 10. Benedetti F, Gasparini S, Ayata SD (2016) Identifying copepod functional groups from species functional traits. Journal of Plankton Research 38(1) : 159 - 166.

2015

• 9. Grimaud G, Le Guennec V, Ayata SD, Mairet F, Sciandra A, Bernard O (2015) Modelling the Effect of Temperature on Phytoplankton Growth across the Global Ocean. IFAC-PapersOnLine 48 (1) : 228-233.
• 8. Crise A et al. (2015) A MSFD complementary approach for the assessment of pressures, knowledge and data gaps in Southern European Seas : The PERSEUS experience. Marine Pollution Bulletin 95 : 28-39.

2014

• 7. Ayata SD, Lévy M, Aumont O, Resplandy L, Tagliabue A, Sciandra A, Bernard O (2014) Phytoplankton plasticity drives large variability in carbon fixation efficiency Geophysical Research Letters 41 : 1-7.

2013

• 6. Ayata SD, Lévy M, Aumont O, Sciandra A, Sainte-Marie J, Tagliabue A, Bernard O (2013) Phytoplankton growth formulation in marine ecosystem models : should we take into account photo-acclimation and variable stoichiometry in oligotrophic areas ? Journal of Marine Systems 125 : 29-40.

2011

• 5. Ayata SD, Stolba R, Comtet T, Thiébaut É. (2011) Meroplankton distribution and its relationship to coastal mesoscale hydrological structure in the northern Bay of Biscay (NE Atlantic). Journal of Plankton Research 33(8) : 1193-1211.

2010

• 4. Ayata SD, Lazure P, Thiébaut É. (2010) How does the connectivity between populations mediate range limits of marine invertebrates ? A case study in the NE Atlantic. Progress in Oceanography 87 : 18-36.
• 3. Lett C, Ayata SD, Huret M, Irisson JO. (2010) Biophysical modelling to investigate the effects of climate change on marine populations dispersal and connectivity. Progress in Oceanography 87 : 106-113.
• 2. Rigal F, Comtet T, Ayata SD, Viard F. (2010) Does larval supply explain the low proliferation of the invasive gastropod Crepidula fornicata in a tidal estuary ? Biological Invasions 12 : 3171-3186.

2009

• 1. Ayata SD, Ellien C, Dumas F, Dubois S, Thiébaut É (2009) Modelling larval dispersal and settlement of the reef-building polychaete Sabellaria alveolata : role of hydrodynamic processes on the sustainability of biogenic reefs. Continental Shelf Research 29 : 1605-1623.