The research

AMAP joint research unit (French acronym UMR) is an interdisciplinary laboratory that conducts basic research on plants and plant communities with the aim of predicting ecosystems responses to environmental forcing, in terms of the distribution/conservation of species and biodiversity, crop production, carbon storage in plant biomass, protection of the environment and the provision of ecosystem services.

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Axes of Research

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01/08/2018
Coming up :
Stochastic modelling of tree architecture and biomass allocation: application to teak (Tectona grandis L. f.), a tree species with polycyclic growth and leaf neoformation
Tondjo K., Brancheriau L., Sabatier S., Kokutse A. D., Kokou K., Jaeger M., de Reffye P., Fourcaud T. 2018. Stochastic modelling of tree architecture and biomass allocation: application to teak (Tectona grandis L. f.), a tree species with polycyclic growth and leaf neoformation. Annals of Botany, 121 (5): 1397-1410.

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01/08/2018
Coming up :
The pipe model theory half a century on: a review
Lehnebach R., Beyer R., Letort V., Heuret P. 2018. The pipe model theory half a century on: a review. Annals of Botany, 121 (5): 773-795.

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01/08/2018
Coming up :
DigR: a generic model and its open source simulation software to mimic three-dimensional root-system architecture diversity
Barczi J.-F., Rey H., Griffon S., Jourdan C. 2018. DigR: a generic model and its open source simulation software to mimic three-dimensional root-system architecture diversity. Annals of Botany, 121 (5): 1089-1104.

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26/07/2018
Coming up :
Designing oil palm architectural ideotypes for optimal light interception and carbon assimilation through a sensitivity analysis of leaf traits
Perez R. P. A., Dauzat J., Pallas B., Lamour J., Verley P., Caliman J.-P., Costes E., Faivre R. 2018. Designing oil palm architectural ideotypes for optimal light interception and carbon assimilation through a sensitivity analysis of leaf traits. Annals of Botany, 121 (5): 909-926.

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26/07/2018
Coming up :
Using volume-weighted average wood specific gravity of trees reduces bias in aboveground biomass predictions from forest volume data
Takougoum Sagang L. B., Momo Takoudjou S., Libalah Bakonck M., Rossi V., Fonton N., Mofack G. I., Kamdem N. G., Nguetsop V. F., Sonké B., Ploton P., Barbier N. 2018. Using volume-weighted average wood specific gravity of trees reduces bias in aboveground biomass predictions from forest volume data. Forest Ecology and Management, 424: 519-528.

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