Benjamin BOUREL

Researcher

National Institute for Research in Digital Science and Technology (​Inria)

benjamin.bourel@inria.fr

Machine learning

Ecology

Paleo-ecology

Palynology

Research areas

Computer vision

I am working on the taxonomic identification of current and fossil plant remains (mainly pollen, phytoliths and leaves) using automatic image recognition and deep learning. The aim is to help carry out high-resolution monitoring of changes in biodiversity, climate and landscapes in the present and the past using images collected by scientific workflows such as artificial pollen traps, sediment cores and herbariums.

Interpretation of degraded and complex vegetation signals

Current or fossil plant remains are signals of vegetation and paleo-vegetation. By studying these signals, it is possible to monitor past and present environmental changes. However, the interpretation of certain signals, such as pollen assemblages, is sometimes difficult due to the complexity of the signal or its degradation. Using statistical analyses, I aim to improve the environmental and climatic interpretation of these complex and/or degraded signals.

Species distribution models

I use natural archives (pollens, fossils, etc.) and historical documents (notes, herbariums, archaeological remains, etc.) to take into account both the past and present ecological niches of plants in order to set up models of species distribution. The aim is to better predict the future distribution of plants, to help conserve endangered species or to anticipate the spread of invasive species.

Conferences

Scientific talks

  • Bourel B., Joly A., Servajean M., Bettinger S., Sanabria-Fernández J. A., Mouillot D., 2025. From presence-only to abundance species distribution models using transfer learning. BioSpace25 - Biodiversity insight from Space, 13th February 2025, ESA-ESRIN, Frascati (Italy).
  • Bourel B., Joly A., Bonnet P., Goëau H., Affouard A., Lombardo J.C., Chouet M., Gresse H., Botella C., Deneu B., Estopinan J., Leblanc C., Garcin C., Marcos D., Servajean M., Munoz F., Salmon J., 2024. The challenges of creating, managing and storing large datasets in environmental sciences. International Workshop on Biological Data Integration and A​​I, 13th Decembre 2024, University of Clermont Auvergne (France).
  • Bourel B. 2024 . Using hybrid AI to overcome the challenges of automatic identification of modern and fossil pollen in real-life conditions. BioChronos seminar of the Department of Palaeo-ecosystems, Climate, and Societies, 10th October 2024, University of Montpellier (France).
  • Bourel B. , Barboni B., Mazur J.-C., 2024 . More objective inference of regional vegetation subtypes using pollen assemblages from the East African Rift (Ethiopia). Mediterranean Palynology Societies Symposium 2024, 17th July 2024, Salamanca (Spain).
  • Bourel B. , Joly A., Servajean M., Bettinger S., Mouillot D, 2024 . Improving and regularizing species abundance prediction models with deep learning. Inria-Brasil Workshop, 31th May 2024, Montpellier (France).
  • Bourel B., Joly A., Bonnet P., Goëau H., Affouard A., Lombardo J.C., Chouet M., Gresse H., Botella C., Deneu B., Estopinan J., Leblanc C., Garcin C., Marcos D., Servajean M., Munoz F., Salmon J., 2023. ​Pl@ntNet : Management of large databases and integration of microscopic images. 12th Scientific and Technical Days of the INRAE microscopists network, 24th November 2023, Montpellier (France).
  • Saylor S., Gibert L., Deino A., Alene M., Levin E., Melillo S., Peaple M., Feakins S., Bourel B., Barboni D., Novello, Sylvestre F., Mertzman S., Haile-Selassie Y., 2020. A wet basin during dry times: a new Pliocene lake record from the Afar region, Ethiopia. American Geophysical Union Meeting 2020, 10th December 2020, ​Virtual scientific conferences.
  • Melillo S., Vazzana A., Benazzi S., Ryan T., Saylor B., Gibert L., Deino A., Alene M., Levin L., Peaple M., Feakins S., Bourel B., Barboni D., Novello A., Sylvestre F., Haile-Selassie Y., 2020 The first cranium of Australopithecus anamensis. 89th Annual Meeting of American Association of Physical Anthropologists, 17th April 2020, Los Angeles (California).
  • Bourel B., 2019. Automated recognition of pollen grains from the modern and fossil records by multiple convolutional neural networks. 26th congress of the Doctoral School Environmental Sciences (ED 251), 30th April 2019, Aix-Marseille University (France).
  • Bourel B., 2018. Les pollens, témoins de l'évolution des environnements et du climat. The conferences of museum, 18th Octobre 2018, Natural History Museum of Aix-en-Provence (France).
  • Bourel B., 2017. Vegetation dynamics and climate variability during the Pliocene from the pollen record of the ICDP-HSPDP Nord Awash cores, Afar region (Ethiopia). Palynology Seminar, 21th September 2017, Addis Ababa University of Natural Science (Éthiopie).
  • Bourel B., 2016. Les plantes fossiles des travertins Holocène de Mende. 4th Lozerian Geological Heritage Days, 16th July 2016, Mende (France).

Popular science talks

  • Botella C., Bourel B., Mouillout D., Rovellotti O., 2024 Round-table conference. Technological progress and environmental ethics: a dilemma for ecological research and biodiversity management? Days of «research and biodiversity management in times of ecological crisis » by AdNatura and BiodivOc, 10th December 2024, University of Paul-Valéry (Montpellier, France).

Scientific posters

  • Bourel B., Joly A., Servajean M., Bettinger S., Sanabria-Fernández J. A., Mouillot D., 2025. Using occurrence data to improve species abundance predictions with neural networks. BioSpace25 - Biodiversity insight from Space, 13th February 2025, ESA-ESRIN, Frascati (Italy). 
  • Bourel B., Joly A., Servajean M., Bettinger S., Mouillot D, 2024.  Knowledge transfer from presence-only data to abundance predictions using deep neural networks. International congress in Ecology and Evolution 2024, 21-25th October 2024, Lyon (France).
  • Bourel B., Marchant R., de Garidel-Thoron T., Tetard M., Barboni D., Gally Y., Beaufort L., 2019. Automated recognition by multiple convolutional neural networks of modern, fossil, intact and damaged pollen grains. The Mediterranean Palynological Societies Symposium 2019, 9-11th July2019, Bordeaux (France).
  • Bourel B., Novello A., 2016. The dimensions of bilobate phytoliths in 15 Poaceae species of Central Africa: Can it be relevant for paleoenvironmental studies? 10th International Meeting on Phytolith Research, 12-14th September 2016, Aix-en-Provence (France).
  • Bourel B., Barboni D., Gail A., 2015. Pollen study of vegetation dynamics and spring activity during the last 1100 years (Eyasi, Tanzania). XXIV Symposium of Association of French Language Palynologists, 14-16th September 2015, Pontarlier (France).
  • Bourel B., Novello A., 2014. Introduction to phytoliths and their paleo-archaeological applications. 2nd Lozerian Geological Heritage Days, 16-17th August 2014, Florac (France).
  • Bourel B., Moreau J.-D., 2013. Angiosperms of the Cenozoic tufa of Mende (Lozère, France). 1st Lozerian Geological Heritage Days, 2-4th August 2013, Marvejols (France).

Contact

benjamin.bourel@inria.fr

Antenne Inria de Montpellier
860 Rue Saint-Priest
Bâtiment 5
34090 Montpellier