Select Publications

Books

(1)
BURGOS A., [et al.] and PROISY C., 2018. Mangrove. Une forêt dans la mer, CNRS & Le Cherche-Midi, Paris, 168 pages, ISBN: 978-2-7491-5764-1, Sous la direction de F. Fromard, E. Michaud, M. Hossaert-McKey.

Edited books

(2)
ANJANEYASARMA S.L.P., LAKSHMINARASIMHAM S. and [et al.] (ed.), 2016. Śrīmadēvībhāgavatam : mūlamātram, 2 vols, Published by the Authors.
ELAVAZHAGAN K., PANNEERSELVAM P., [et al.], Associate editors, MAHALAKSHMI K., GOPALAKRISHNAN S. and SARAVANAN G. (ed.), 2015. Proceedings of the National Conference on Advancement in Library and Information Science & Technology : Challenges and Opportunities (SALIS 2015), 10th & 11th July, 2015, B.S. Abdur Rahman University & Soceity for the Advancement of Library and Information Science (SALIS), Chennai, ix, 613 p., ISBN: 978-93-85469-00-8.

Book chapters

(5)
GARCIA C.A., VENDÉ J., NANAYA K.M., NAY M., KALLA J. and [et al.], 2019. Understanding coffee farmers: using games to explore future coffee agroforestry landscapes in the Western Ghats (India), In: Dupraz C., Gosme M., Lawson G. (ed), Book of Abstracts, 4th World Congress on Agroforestry held at Montpellier, France from 20-22 May 2019. Agroforestry: strengthening links between science, society and policy, CIRAD, INRA, World Agroforestry, Agropolis International, MUSE, Montpellier, p. 587, Link in HAL: https://hal.archives-ouvertes.fr/hal-02295564v1. [Publisher link]
RICHARD-FERROUDJI A. and [et al.], 2016. La modélisation d'accompagnement comme espace d'hybridation de connaissances sur les eaux et sur les territoires, In: Goeldner-Gianella L., [et al.] (ed), Concilier la gestion de l’eau et des territoires, Editions Johanet, Paris, pp. 157-175, ISBN: 979-10-91089-25-8.
SCHATZ B., VOGT-SCHILB H., MUNOZ F. and [et al.], 2016. Using the past to predict the future: the case of French Mediterranean orchids, The Mediterranean Region under Climate Change - A scientific update, IRD Éditions/AllEnvi, Marseille, France, p. 377-386, ISBN: 978-2-7099-2219-7. [Publisher link]
DURRIEU S., VEGA C. and [et al.], 2015. Optical remote sensing of tree and stand heights, In: Prasad S.T. (ed), Remote Sensing Handbook, Vol II, Land Resources Monitoring, Modeling, and Mapping with Remote Sensing., Chapter 17:, Taylor & Francis, Boca Raton, Fla, p. 449-485, ISBN: 978-1-4822-1795-7. [Publisher link]
MONDET B., MUTHUSANKAR G., BORNE F. and [et al.], 2008. Time and space propagation of dengue virus in a tropical city, In: Tyagi B.K. (ed), Vector-borne diseases : epidemiology and control, Scientific Publishers (India), Jodhpur, p. 213-219, ISBN: 8172335410.

Peer-reviewed journal articles

(42)
OSURI A.M., [et al.], AYYAPPAN N., PÉLISSIER R. and RAMESH B.R., 2020. Tree diversity and carbon storage cobenefits in tropical human-dominated landscapes, Conservation Letters, e12699, DOI : 10.1111/conl.12699. [Publisher link]
KATTGE J., BÖNISCH G., DÍAZ S., [et al.], MUNOZ F., RAEVEL V., AYYAPPAN N. and BALACHANDRAN N., 2020. TRY plant trait database – enhanced coverage and open access, Global Change Biology, 26 (1) : 119-118, DOI : 10.1111/gcb.14904. [Publisher link]
GAUCHE E., [et al.] and LANDY F., 2019. Culture du paysage, gouvernance territoriale et mise en tourisme dans des montagnes rurales de l’Asie méridionale (Népal, Inde, Chine, Laos, Vietnam), Développement durable et territoires, 10 (2) : [En ligne], DOI : 10.4000/developpementdurable.14449, Linh in HAL: https://hal.archives-ouvertes.fr/hal-02188166. [Publisher link]
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]
ROBIN M., PROISY C. and [et al.], 2019. Mapping the Mangrove Forest Canopy Using Spectral Unmixing of Very High Spatial Resolution Satellite Images, Remote Sensing, 11 (3) : 367, https://doi.org/10.3390/rs11030367, Uploaded in HAL dt. 17.04.2019. [Publisher link]
ROY P.D., [et al.] and MUTHUSANKAR G., 2019. Response of arid northeast Mexico to global climate changes during the late Pleistocene to the middle Holocene [Article accepted], Earth Surface Processes and Landforms, 44 (11) : 2211-2222, https://doi.org/10.1002/esp.4645. [Publisher link]
GAUCHEREL C., FRELAT R. and [et al.], 2019. Weak relationships between landforms and hydro-climatologic processes: a case study in Haiti, Hydrology Research, 50 (2) : 744-760, https://doi.org/10.2166/nh.2018.041, Link in HAL: https://hal.archives-ouvertes.fr/hal-02137452v1. [Publisher link]
MATHEVET R. and [et al.], 2018. A Conceptual Framework for Heuristic Progress in Exploring Management Regime Shifts in Biodiversity Conservation and Climate Change Adaptation of Coastal Areas, Sustainability, 10 (11) : 4171, doi:10.3390/su10114171. [Publisher link]
DORNELAS M., [et al.], AYYAPPAN N. and RAMESH B.R., 2018. BioTIME: A database of biodiversity time series for the Anthropocene, Global Ecology and Biogeography, 27 (7) : 760-786, DOI : 10.1111/geb.12729. [Publisher link]
WALCKER R., GANDOIS L., PROISY C. and [et al.], 2018. Control of ‘blue carbon’ storage by mangrove ageing: evidence from a 66-year chronosequence in French Guiana, Global Change Biology, doi : 10.1111/gcb.1410. [Publisher link]
BARNAUD C., [et al.] and MATHEVET R., 2018. Ecosystem services, social interdependencies, and collective action: a conceptual framework, Ecology and Society, 23 (1) : 15, https://doi.org/10.5751/ES-09848-230115. [Publisher link]
FÉRET J.-B., [et al.] and PROISY C., 2018. Estimating leaf mass per area and equivalent water thickness based on leaf optical properties: Potential and limitations of physical modeling and machine learning. Remote Sensing of Environment [in press], Remote Sensing of Environment, https://doi.org/10.1016/j.rse.2018.11.002. [Publisher link]
LIANG X., [et al.] and MOREL J., 2018. International benchmarking of terrestrial laser scanning approaches for forest inventories, ISPRS Journal of Photogrammetry and Remote Sensing, 144 : 137-179, DOI: 10.1016/j.isprsjprs.2018.06.021, Link in HAL: https://hal.archives-ouvertes.fr/hal-01972735v1. [Publisher link]
PROISY C., [et al.], MUTHUSANKAR G., [et al.] and RICOUT A., 2018. Monitoring mangrove forests after aquaculture abandonment using time series of very high spatial resolution satellite images: A case study from the Perancak estuary, Bali, Indonesia, Marine Pollution Bulletin, 131, Part B : 61-71, DOI : http://dx.doi.org/10.1016/j.marpolbul.2017.05.056. [Publisher link]
BASTIN J-F., [et al.], AYYAPPAN N. and RAMESH B.R., 2018. Pan‐tropical prediction of forest structure from the largest trees, Global Ecology and Biogeography, 27 (11) : 1366-1383, DOI : 10.1111/geb.12803. [Publisher link]
RIOTTE J., [et al.], ANUPAMA K. and PRASAD S., 2018. Processes controlling silicon isotopic fractionation in a forested tropical watershed: Mule Hole Critical Zone Observatory (Southern India), Geochimica et Cosmochimica Acta, 228 : 301-319, https://doi.org/10.1016/j.gca.2018.02.046. [Publisher link]
GUSMAWATI N., [et al.], PROISY C. and [et al.], 2018. Surveying shrimp aquaculture pond activity using multitemporal VHSR satellite images - case study from the Perancak estuary, Bali, Indonesia, Marine Pollution Bulletin, 131, Part B : 49-60, http://dx.doi.org/10.1016/j.marpolbul.2017.03.059. [Publisher link]
GAUCHEREL C., TRAMIER C. and [et al.], 2018. Where and at which scales does the latitudinal diversity gradient fail?, Journal of Biogeography, 45 (8) : 1905-1916, DOI: 10.1111/jbi.13355, Link in HAL: https://hal.archives-ouvertes.fr/hal-01989839. [Publisher link]
BALACHANDRAN N. and [et al.], 2017. A new species of Tetrastigma (Vitaceae) from Tamil Nadu, southern India, Webbia : Journal of Plant Taxonomy and Geography, 72 (1) : 113-116, DOI : 10.1080/00837792.2017.1308110. [Publisher link]
JUCKER T., CASPERSEN J., CHAVE J., ANTIN C. and [et al.], 2017. Allometric equations for integrating remote sensing imagery into forest monitoring programmes, Global Change Biology, 23 (1) : 177-190, DOI : 10.1111/gcb.13388. [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]
MUTHUSANKAR G. and [et al.], 2017. Coastal erosion vs man-made protective structures: evaluating a two-decade history from southeastern India, Natural Hazards, 85 (1) : 637-647, DOI : 10.1007/s11069-016-2583-7. [Publisher link]
JACQUET A. and [et al.], 2017. Fidélité, équité et impact des mini entretiens multiples dans le processus de sélection des étudiants en santé en France, Pédagogie médicale, 18 (4) : 179-188, DOI : 10.1051/pmed/2018015.
VIOLLE C., [et al.], MUNOZ F. and [et al.], 2017. Functional rarity: the ecology of outliers, Trends in Ecology & Evolution, 32 (5) : 356-367, DOI : http://dx.doi.org/10.1016/j.tree.2017.02.00. [Publisher link]
PERRONNE R., MUNOZ F. and [et al.], 2017. How to design trait-based analyses of community assembly mechanisms: insights and guidelines from a literature review, Perspectives in Plant Ecology, Evolution and Systematics, 25 : 29-44, http://doi.org/10.1016/j.ppees.2017.01.004. [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]
SPEER J.H., [et al.], NATH C.D. and [et al.], 2017. Pinus roxburghii stand dynamics at a heavily impacted site in Nepal: Research through an educational fieldweek, Dendrochronologia, 41 : 2-9, DOI : 10.1016/j.dendro.2016.01.005. [Publisher link]
BORGY B., [et al.], MUNOZ F. and [et al.], 2017. Sensitivity of community-level trait-environment relationships to data representativeness: a test for functional biogeography (In press), Global Ecology and Biogeography, 26 (6) : 729-739, DOI : 10.1111/geb.12573. [Publisher link]
OSURI A.M., [et al.], AYYAPPAN N. and [et al.], 2017. Successional status, seed dispersal mode and overstorey species influence tree regeneration in tropical rain-forest fragments in Western Ghats, India, Journal of Tropical Ecology, DOI : https://doi.org/10.1017/S0266467417000219. [Publisher link]
HUDSON L.N., [et al.], PÉLISSIER R. and RAMESH B.R., 2017. The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project, Ecology and Evolution, 7 (1) : 145-188, DOI : 10.1002/ece3.2579. [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 : http://dx.doi.org/10.1016/j.rse.2017.08.001. [Publisher link]
TOURNEBIZE R., [et al.], MUNOZ F. and [et al.], 2017. Two disjunct Pleistocene populations and anisotropic postglacial expansion shaped the current genetic structure of the relict plant Amborella trichopoda, PLOS ONE, 12 (8) : e0183412, https://doi.org/10.1371/journal.pone.0183412. [Publisher link]
PACKARAJ R., JEYAKUMAR S., AYYAPPAN N. and [et al.], 2016. Antimicrobial and cytotoxic activities of endophytic fungus Colletotrichum gloeosporioides isolated from endemic tree Cinnamomum malabatrum, Studies in Fungi, 1 (1) : 104-113, DOI : 10.5943/sif/1/1/10. [Publisher link]
GAUCHEREL C., PANDEY N., PURANIK R. and [et al.], 2016. Assessing and managing the rising rhino population in Kaziranga (India), Ecological Indicators, 66 : 55-64, https://doi.org/10.1016/j.ecolind.2016.01.023. [Publisher link]
WAGNER F.H., [et al.] and PÉLISSIER R., 2016. Climate seasonality limits leaf carbon assimilation and wood productivity in tropical forests, Biogeosciences, 13 : 2537–2562, DOI : 10.5194/bg-13-2537-2016. [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]
OSURI A.M., [et al.] and RAMESH B.R., 2016. Contrasting effects of defaunation on aboveground carbon storage across the global tropics, Nature Communications, 7 : DOI : 10.1038/ncomms11351. [Publisher link]
RODENBURG J., LE BOURGEOIS T., GRARD P. and [et al.], 2016. Electronic support tools for identification and management of rice weeds in Africa for better-informed agricultural change agents, Cahiers Agricultures, 25 (1) : 15006, DOI : 10.1051/cagri/2016004. [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]
COURTY P.-E., MUNOZ F. and [et al.], 2016. Into the functional ecology of ectomycorrhizal communities: environmental filtering of enzymatic activities, Journal of Ecology, DOI : 10.1111/1365-2745.12633. [Publisher link]
DEBLAUWE V., DROISSART V., BOSE R., SONKÉ B., BLACH-OVERGAARD A., SVENNING J.-C., WIERINGA J.J., RAMESH B.R. and [et al.], 2016. Remotely sensed temperature and precipitation data improve species distribution modelling in the tropics, Global Ecology and Biogeography, 25 (4) : 443-454, DOI: 10.1111/geb.12426. [Publisher link]

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