Data and publications

=> A study on a related topic (the similarity between metal stress and water stress according to plant response regarding biomass partitioning between above and belowground organs) :
  • Delerue, Florian, Mathieu Scattolin, Olivier Atteia, Gregory J. V. Cohen, Michel Franceschi, et Michel Mench. « Biomass Partitioning of Plants under Soil Pollution Stress ». Communications Biology 5, no 1 (19 avril 2022): 1‑13.
=> A study on the role of ecotypic variation regarding adapation to metal pollution to explain the sensitivity to plant-plant interaction (facilitation and competition) :
  • Nemer, David, Richard Michalet, Hugo Randé, Valérie Sappin-Didier, et Florian Delerue. « Higher Facilitation for Stress-Intolerant Ecotypes along a Metal Pollution Gradient Are Due to a Decrease in Performance in Absence of Neighbours ». Oikos (2022): e09499.
=> A study on the role of ecotypic variation to explain both response to plant-plant interactions and the effects of nurse plants in metal-polluted environments
  • Nemer, David, Richard Michalet, Hugo Randé, and Florian Delerue. « The Role of Ecotypic Variation for Plant Facilitation in a Metal-Polluted System: Stress-Intolerant Target Ecotypes Are the Best Beneficiaries and Stress-Tolerant Nurse Ecotypes the Best Benefactors ». Science of The Total Environment 887 (2023): 164134.
=> A study on the importance to delinate soil effects from microclimatic effets in studies of plant-plant interactions in metalliferous ecosystems:
  • Randé, Hugo, Richard Michalet, David Nemer, Valérie Sappin-Didier, and Florian Delerue. « Contrasting Soil- and Canopy-Nurse Effects in Metalliferous Systems May Be Explained by Dominant Plant Functional Strategies ». Journal of Applied Ecology n/a, no n/a (2022).
=> A study on the potential evolution of soil and microclimatic effects due to plant-plant interactions along gradient of metal pollution
  • Randé, Hugo, Richard Michalet, David Nemer, et Florian Delerue. « Relative contribution of canopy and soil effects between plants with different metal tolerance along a metal pollution gradient ». Science of The Total Environment 904 (15 décembre 2023): 166905.
=> A study on the extraction of Digital Terrain Models from airborne laser scanning (ALS) point clouds thanks to deep neural networks :
  • Lê, Hoàng-Ân, Florent Guiotte, Minh-Tan Pham, Sébastien Lefèvre, et Thomas Corpetti. « Learning Digital Terrain Models From Point Clouds: ALS2DTM Dataset and Rasterization-Based GAN ». IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15 (2022): 4980‑89.

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