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Website:
http://amap.cirad.fr/en/index.php |
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Research area
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The Joint Research Unit Botany and computational plant architecture (AMAP) is a multidisciplinary lab which focuses on the analysis and modelling of structure, development and diversity of plants and vegetation. AMAP specifically develops interface research between applied mathematics/informatics and plant/vegetation sciences. This research encompasses basic science along with methodological and applied topics and deals with cultivated as well as natural plants in temperate, mediterranean and tropical contexts. AMAP applies biomathematics and computational techniques to characterize taxa, explore evolution of functional architecture, plant-plant interactions and dynamics of stands and crops. Diversity of plants and vegetation is a prominent topic which embraces morphological, functional and phylogenetical aspects along with ecological and biogeographic dimensions. Applied informatics is contributing through the design of innovative databases and the conception of software for the collaborative gathering, sharing and use of massive datasets, and for efficient simulations and 3D visualization of structural and functional information at plant, stands and landscape scales. AMAP is carrying out field investigations and supervises reference herbaria and collections (paleobotany) in France (Montpellier) and overseas (IRD herbaria of Cayenne and Nouméa).
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Research highlights
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Staff profile
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Research Org.
| Researchers | Professors | Research Eng. | Techn. & admin staff | PhD |
| UM2, CIRAD, CNRS, INRA, IRD | 38 | 4 | 15 | 19 |
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Research teams
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The unit is organized into three research groups having a wide variety of disciplines, including botany, ecology, evolution, applied mathematics and informatics.
Team 1 - Diversity of plants and plant communities: Inventorying biodiversity and understanding its variations requires i) classifying species in a coherent way by combining morphological, architectural and biological knowledge with molecular approaches, ii) understanding the determinants of species' distributions and their roles in ecosystems, in order to predict the reaction of the latter to global change as well as to local modifications of the environment. This objective relies on the constitution of increasing numbers of multicriteria and reliable datasets, as well as the development of new methods of exploration, aggregation and analyses of heterogeneous repositories of information.
Team 2 - Architecture, function and evolution of plants: with the aim of understanding and predicting plant growth, plant architecture and evolution, and to identify genetic and environmental factors that affect growth and structure of actual and fossil plants. The main objectives are to: i) develop an understanding of plant architecture using morphological and anatomical traits; ii) identify phenotypic characteristics and genetic controls for structural diversity and phenotypic plasticity; iii) analyse growth and physiological processes for understanding architectural development; iv) model plant growth and integrate biophysical and physiological processes for predicting plant architectural development under cultivated and in variable ecological and climatic conditions.
Team 3 - Organisational dynamics of plant populations and landscapes: We focus on (agro)forests subjected to natural or anthropogenic disturbances in fragmented landscapes or constrained by the physical environment. The main objectives are: i) to understand emergent properties of overall stand dynamics from parsimonious models of local interactions; ii) to assess whether emergent properties allow us to infer broad scale stand characteristics from remote sensing data (inversion problem); iii) to combine structural and functional dynamic modelling for the large-scale prediction of spatio-temporal variations of stand characteristics under various scenarios of environmental forcing; iv) to integrate knowledge on ecological and biophysical processes within a context of ecological engineering applications.
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Platforms and other tools
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Facilities for Botany and plant systematics: IRD herbaria of Nouméa (NOU) and Cayenne (CAY); University Montpellier 2 herbarium (MPU) and collections of palaeobotany. Platforms and software packages:
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Most important international partnerships
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AMAP has a wide network of academic, scientific, technological and commercial partnerships in Europe, North America, Argentina, China, Cameroon, India, and Vietnam, with scientists in permanent positions in the latter three countries.
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Facts and figures
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Publications in international ranking journals
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2009: 55
2008: 63
2007: 37
2006: 35
2005: 42
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Representative publications
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1. Meyer-Berthaud B., Decombeix A.-L. 2007. A tree without leaves. Nature, 446(7138): 861-862.
2. Gratiot N., Anthony E.J., Gardel A., Gaucherel C., Proisy C., Wells J.T. 2008. Significant contribution of the 18.6 year tidal cycle to regional coastal changes. Nature Geoscience, 1(3): 169-172.
3. Gaume L., Forterre Y. 2007. A viscoelastic deadly fluid in carnivorous pitcher plants. Plos One, 2(11) [on line http://dx.doi.org/10.1371/journal.pone.0001185]
4. Barthélémy D., Caraglio Y. 2007. Plant architecture: a dynamic, multilevel and comprehensive approach of plant form, structure and ontogeny. Annals of Botany, 99(3): 375-407. [Invited paper]
5. Barbier, N., Couteron, P., Proisy, C., Malhi, Y., 2010. The variation of apparent crown size and canopy heterogeneity across lowland Amazonian forests. Global Ecology and Biogeography, 19 (1) : 72-84.
6. Bonhomme, V., Pelloux-Prayer, H., Jousselin, E., Forterre, Y., Labat, J.-J., & Gaume, L., 2011. Slippery or sticky? Functional diversity in the trapping strategy of Nepenthes carnivorous plants. New Phytologist, published online DOI: 10.1111/j.1469-8137.2011.03696.x.
7. Decombeix, A.-L., Meyer-Berthaud, B., Galtier, J., 2011. Transitional changes in arborescent lignophytes at the Devonian/Carboniferous boundary. Journal of the Geological Society, 168 (2) : 547-557.
8. Deng, Q. Q., Zhang, X. P., Gang, Y., Jaeger, M., 2010. Multiresolution Foliage for Forest Rendering. Computer Animation and Virtual Worlds, 20 (1) : 1-23.
9. Fourcaud, T., Zhang, X. P., Stokes, A., Lambers, H., Koerner, C., 2008. Plant growth modelling and applications: the increasing importance of plant architecture in growth models. Annals of Botany, 101 (8) : 1053-1063.
10. Gaucherel, C., Griffon, S., Houet, T., Misson, L., 2010. Combining process-based models for future biomass assessment at landscape scale. Landscape Ecology, 25 (2) : 201-215.
11. Isnard S., Rowe N. 2008. Mechanical role of the leaf sheath in rattans. New Phytologist, 177(3): 643-652. 12. Isnard, S., Cobb, A. R., Holbrook, N. M., Zwieniecki, M., Dumais, J., 2009. Tensioning the helix: a mechanism for force generation in twining plants. Proceedings of the Royal Society of London. B- Biological Sciences, 276 (1667) : 2643-2650.
13. Kang, M. Z., Cournède, P. H., de Reffye, P., Auclair, D., 2008. Analytical study of a stochastic plant growth model: application to the GreenLab model. Mathematics and Computers in Simulation, 78 (1) : 57-75.
14. Munoz F., Couteron P., Ramesh B.R. 2008. Beta-diversity in spatially-implicit neutral models: a new way to assess species migration. American Naturalist, 172(1): 116-127.
15. Pélissier R., Couteron P. 2007. An operational, additive framework for diversity partitioning and beta-diversity analysis. Journal of Ecology, 95(2): 294-300.
16. Pillon, Y., Munzinger, J., Amir, H., Lebrun, M., 2010. Ultramafic soils and species sorting in the flora of New Caledonia. Journal of Ecology, 98 (5) : 1108-1116.
17. Stokes, A., Sotir, R. B., Chen, W., Ghestem, M., 2010. Soil bio- and eco-engineering in China: past experience and future priorities. Ecological Engineering, 36 (3) : 247-257.
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| Total annual budget | |||||
| (in Euros) | 2008 | 2009 | 2010 | ||
| Total annual contract | 4 389 000 | 5 751 000 | 6 419 000 | ||
| External contracts | 546 000 | 1 065 000 | 1 212 000 | ||
| ANR | 123 000 | 96 000 | 52 000 | ||
| EU | 70 000 | 216 000 | 283 000 | ||
| Private sector | 101 000 | 32 000 | 172 000 | ||
| Others | 252 000 | 721 000 | 705 000 | ||