Maxime Réjou-Méchain
Head of the Laboratory

Select Publications

Edited books

SANDEEP S., SIVARAM M., GAMARRA J.G.P. and RÉJOU-MÉCHAIN M. (ed.), 2015. Proceedings of the regional training on data analysis for tree volume, biomass and carbon stock assessment, 10-13 November 2014. KFRI , Peechi, India. UN-REDD Programme MRV report 20, Food and Agriculture Organization of the United Nations, Rome, Italy, 19 p..

Peer-reviewed journal articles

CHAVE J., [et al.] and RÉJOU-MÉCHAIN M., 2019. Ground Data are Essential for Biomass Remote Sensing Missions, Surveys in Geophysics, 40 (4) : pp. 863-880, 10.1007/s10712-019-09528-w. [Publisher link]
GONMADJE C., PICARD N., GOURLET-FLEURY S., RÉJOU-MÉCHAIN M. and [et al.], 2017. Altitudinal filtering of large-tree species explains above-ground biomass variation in an Atlantic Central African rain forest, Journal of Tropical Ecology, 33 (2) : 143-154, DOI : 10.1017/S0266467416000602. [Publisher link]
RÉJOU-MÉCHAIN M. and [et al.], 2017. BIOMASS : An R Package for estimating aboveground biomass and its uncertainty in tropical forests, Methods in Ecology and Evolution, DOI : 10.1111/2041-210X.12753. [Publisher link]
PARGAL S., [et al.], BALACHANDRAN N., RÉJOU-MÉCHAIN M. and PÉLISSIER R., 2017. Inverting Aboveground Biomass–Canopy Texture Relationships in a Landscape of Forest Mosaic in the Western Ghats of India Using Very High Resolution Cartosat Imagery, Remote Sensing, 9 (3) : 228, DOI : 10.3390/rs9030228. [Publisher link]
PLOTON P., AYYAPPAN N., BALACHANDRAN N., BARATHAN N., PROISY C., RÉJOU-MÉCHAIN M., PÉLISSIER R. and [et al.], 2017. Toward a general tropical forest biomass prediction model from very high resolution optical satellite images, Remote Sensing of Environment, 200 : 140-153, DOI : [Publisher link]
PLOTON P., BARBIER N., TAKOUDJOU MOMO S., RÉJOU-MÉCHAIN M. and [et al.], 2016. Closing a gap in tropical forest biomass estimation: taking crown mass variation into account in pantropical allometries, Biogeosciences, 13 (5) : 1571–1585, DOI : 10.5194/bg-13-1571-2016. [Publisher link]
TYMEN B., RÉJOU-MÉCHAIN M. and [et al.], 2016. Evidence for arrested succession in a liana-infested Amazonian forest, Journal of Ecology, 104 (1) : 149-159, DOI : 10.1111/1365-2745.12504. [Publisher link]
VATTAKAVEN T., GEORGE R.M., BALASUBRAMANIAN D., RÉJOU-MÉCHAIN M., MUTHUSANKAR G., RAMESH B.R. and PRABHAKAR R., 2016. India Biodiversity Portal: An integrated, interactive and participatory biodiversity informatics platform, Biodiversity Data Journal, 4 : e10279, DOI : 10.3897/BDJ.4.e10279. [Publisher link]
HO TONG MINH D., LE TOAN T., ROCCA F., TEBALDINI S., VILLARD L., RÉJOU-MÉCHAIN M. and [et al.], 2016. SAR tomography for the retrieval of forest biomass and height: Cross-validation at two tropical forest sites in French Guiana, Remote Sensing of Environment, 175 : 138-147, doi : 10.1016/j.rse.2015.12.037. [Publisher link]
ULLOA J.S., GASC A., GAUCHER P., AUBIN T., RÉJOU-MÉCHAIN M. and SUEUR J., 2016. Screening large audio datasets to determine the time and space distribution of Screaming Piha birds in a tropical forest, Ecological Informatics, 31 : 91-99, DOI : 10.1016/j.ecoinf.2015.11.012. [Publisher link]
HENRY M., RÉJOU-MÉCHAIN M., CIFUENTES JARA M. and [et al.], 2015. An overview of existing and promising technologies for national forest monitoring, Annals of Forest Science, DOI: 10.1007/s13595-015-0463-z. [Publisher link]
HENRY M., CIFUENTES JARA M., RÉJOU-MÉCHAIN M. and [et al.], 2015. Recommendations for the use of tree models to estimate national forest biomass and assess their uncertainty, Annals of Forest Science, DOI: 10.1007/s13595-015-0465-x. [Publisher link]
RÉJOU-MÉCHAIN M. and [et al.], 2015. Using repeated small-footprint LiDAR acquisitions to infer spatial and temporal variations of a high-biomass Neotropical forest, Remote Sensing of Environment, 169 : 93–101, DOI : 10.1016/j.rse.2015.08.001. [Publisher link]
RÉJOU-MÉCHAIN M., PÉLISSIER R., GOURLET-FLEURY S., COUTERON P., NASI R. and THOMPSON J. D., 2008. Regional variation in tropical tree species composition in the Central African Republic: an assessment based on inventories by forest companies, Journal of Tropical Ecology, 24 (6) : 663-674. [Publisher link]

Other Publications

RÉJOU-MÉCHAIN M. and CHEPTOU P.-O., 2015. High incidence of dioecy in young successional tropical forests, Journal of Ecology, 103 (3): 725-732.

MERMOZ S., RÉJOU-MÉCHAIN M., VILLARD L., LE TOAN T., ROSSI V. and GOURLET-FLEURY S., 2015. Decrease of L-band SAR backscatter with biomass of dense forests, Remote Sensing of Environment 159: 307-317.

RÉJOU-MÉCHAIN M., FLORES O., PÉLISSIER R., FAYOLLE F., FAUVET N. and GOURLET-FLEURY S., 2014. Tropical tree assembly depends on the interactions between successional and soil filtering processes, Global Ecology and Biogeography, 23(12): 1440-1449.

RÉJOU-MÉCHAIN M., MULLER-LANDAU, H. C… [et al.], 2014. Local spatial structure of forest biomass and its consequences for remote sensing of carbon stocks, Biogeosciences, 11, 6827-6840, doi:10.5194/bg-11-6827-2014.

CHAVE J., RÉJOU-MÉCHAIN M… [et al.], 2014. Improved allometric models to estimate the above ground biomass of tropical trees, Global Change Biology 20: 3177–3190, doi: 10.1111/gcb.12629.

PARMENTIER I.*, RÉJOU-MÉCHAIN M. *, CHAVE J., VLEMINCKX J., THOMAS D.W., KENFACK D., CHUYONG G. and HARDY O.J., 2014. Prevalence of phylogenetic clustering at multiple scales in an African rainforest tree community, Journal of Ecology 102(4): 1008-1016.

RÉJOU-MÉCHAIN M., FLORES O., BOURLAND N., DOUCET J-L., FÉTÉKÉ R., PASQUIER A. and HARDY O.J., 2011. Spatial aggregation of tropical trees at multiple spatial scales, Journal of Ecology 99: 1373-1381.

RÉJOU-MÉCHAIN M. and HARDY O.J., 2011. Properties of similarity indices under niche-based and dispersal-based processes in communities, American Naturalist. 177(5): 589-604.

When the asterix “*” is mentioned, this means that the first and second authors are equal contributors.