Analysis and projections of phosphorus limitations on agricultural production and future carbon sequestration using process models and experimental data
Université Paris-Saclay
Paris, France
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Missions

The successful candidate will work with models in an integrated global scale approach going from site to globe, and including the interactions between the phosphorus cycle and the climate system, and the implications of phosphorus limitations for carbon storage and crop yields.

The proposed work will be based on complementary approaches :

  • Use and development of numerical ecosystems process-based models that can be run from site to global scale, in which processes related to phosphorus and other major nutrient limitations / additions will be incorporated, and their impact studied for carbon storage in biomass and soils, and productivity of agro-ecosystems.
  • Theoretical approaches and design of conceptual models, based e.g. on optimality theories of nutrient acquisition and carbon allocation by plants.
  • Rigorous and quantitative analysis of experimental data from (i) fertilization experiments across different ecosystems, (ii) data from long-term ecosystem observation networks, (iii) regional and global datasets of ecosystem stoichiometry, functional traits, soil or climatic data.
  • The successful candidate is expected to develop projects in close collaboration with teams from CLAND and other laboratories with expertise on the phosphorus and carbon cycles.

    The development of a research agenda is expected, building upon an active network of collaborators across different teams within the new University of Paris-Saclay, the largest university in France, located in the south- west of Paris (), the supervision of engineers and students, and European and international collaborations.

    Compétences

  • Doctorate or PhD degree with several years of post-doctoral experience.
  • Expertise in the field of biogeochemical cycling of carbon, phosphorus and terrestrial ecosystems stoichiometry.
  • Knowledge of process models that can be integrated from local to global scale and for future projections, knowledge of programming and complex numerical codes, involving supercomputing facilities.
  • Research track record, including several publications in peer-reviewed international journals on the subject of the position.
  • Established international collaborations on the topic of the position.
  • Ability to supervise and co-supervise students / post-docs / engineers
  • Ability to develop new research projects and work collaboratively within the research network of the CLAND Convergence Institute.
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