Analysis and experimentation on ecosystems

Longo M, Knox RG, Levine NM, Alves LF, Bonal D, Camargo PB, Fitzjarrald DR, Hayek MN, Restrepo-Coupe N, Saleska SR et al..  2018.  Ecosystem heterogeneity and diversity mitigate {Amazon} forest resilience to frequent extreme droughts. New Phytologist.

Bai Y, Tebaldini S, Minh DHo Tong, Yang W.  2018.  An {Empirical} {Study} on the {Impact} of {Changing} {Weather} {Conditions} on {Repeat}-{Pass} {SAR} {Tomography}. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. :1–7.

Ciminera M, Auger-Rozenberg M-A, Caron H, Herrera M, Scotti-Saintagne C, Scotti I, Tysklind N, Roques A.  2018.  Genetic {Variation} and {Differentiation} of {Hylesia} metabus ({Lepidoptera}: {Saturniidae}): {Moths} of {Public} {Health} {Importance} in {French} {Guiana} and in {Venezuela}. Journal of Medical Entomology.

Bruelheide H, Dengler J, Purschke O, Lenoir J, Jiménez-Alfaro B, Hennekens SM, Botta-Dukát Z, Chytrý M, Field R, Jansen F et al..  2018.  Global trait–environment relationships of plant communities. Nature Ecology & Evolution.

Liao Z, He B, van Dijk AIJM, Bai X, Quan X.  2018.  The impacts of spatial baseline on forest canopy height model and digital terrain model retrieval using {P}-band {PolInSAR} data. Remote Sensing of Environment. 210:403–421.

Labriere N, Tao S, Chave J, Scipal K, Le Toan T, Abernethy K, Alonso A, Barbier N, Bissiengou P, Casal T et al..  2018.  In {Situ} {Reference} {Datasets} {From} the {TropiSAR} and {AfriSAR} {Campaigns} in {Support} of {Upcoming} {Spaceborne} {Biomass} {Missions}. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Bossu J, Lehnebach R, Corn S, Regazzi A, Beauchêne J, Clair B.  2018.  Interlocked grain and density patterns in {Bagassa} guianensis: changes with ontogeny and mechanical consequences for trees. Trees. :1–13.

Hérault B, Piponiot C.  2018.  Key drivers of ecosystem recovery after disturbance in a neotropical forest. Forest Ecosystems. 5:2.

De Deurwaerder H, Hervé-Fernández P, Stahl C, Burban B, Pétronelli P, Hoffman B, Bonal D, Boeckx P, Verbeeck H.  2018.  Liana and tree below-ground water competition—evidence for water resource partitioning during the dry season. Tree Physiology.

Peng X, Li X, Wang C, Fu H, Du Y.  2018.  A {Maximum} {Likelihood} {Based} {Nonparametric} {Iterative} {Adaptive} {Method} of {Synthetic} {Aperture} {Radar} {Tomography} and {Its} {Application} for {Estimating} {Underlying} {Topography} and {Forest} {Height}.. Sensors. 18

Hayek MN, Wehr R, Longo M, Hutyra LR, Wiedemann K, J. Munger W, Bonal D, Saleska SR, Fitzjarrald DR, Wofsy SC.  2018.  A novel correction for biases in forest eddy covariance carbon balance. Agricultural and Forest Meteorology. 250-251:90–101.

Aghababaee H, Fornaro G, Schirinzi G.  2018.  Phase {Calibration} {Based} on {Phase} {Derivative} {Constrained} {Optimization} in {Multibaseline} {SAR} {Tomography}. IEEE Transactions on Geoscience and Remote Sensing. PP:1–13.

Picard N, Gamarra JGP, Birigazzi L, Branthomme A.  2018.  Plot-level variability in biomass for tropical forest inventory designs. Forest Ecology and Management. 430:10–20.

Fontaine S, Stahl C, Klumpp K, Picon‐Cochard C, Grise MM, Dezécache C, Ponchant L, Freycon V, Blanc L, Bonal D et al..  2018.  Response to {Editor} to the comment by {Schipper} to our paper entitled “{Continuous} soil carbon storage of old permanent pastures in {Amazonia}”. Global Change Biology. 24:e732–e733.

Anouhe JBaptiste S, Niamké FBobelé, Faustin M, Virieux D, Pirat JLuc, Adima AAmissa, Kati-Coulibaly S, Amusant N.  2018.  The role of extractives in the natural durability of the heartwood of {Dicorynia} guianensis {Amsh}: new insights in antioxydant and antifungal properties. Annals of Forest Science. 75:15.

Soong JL, Marañon-Jimenez S, M. Cotrufo F, Boeckx P, Bodé S, Guenet B, Peñuelas J, Richter A, Stahl C, Verbruggen E et al..  2018.  Soil microbial {CNP} and respiration responses to organic matter and nutrient additions: {Evidence} from a tropical soil incubation. Soil Biology and Biochemistry. 122:141–149.

Floch J.-M, Marcon E., Puech F..  2018.  Spatial distribution of points. Handbook of {Spatial} {Analysis}. :71–111.

Courtois EA, Stahl C, Van den Berge J, Bréchet L, Van Langenhove L, Richter A, Urbina I, Soong JL, Peñuelas J, Janssens IA.  2018.  Spatial {Variation} of {Soil} {CO2}, {CH4} and {N2O} {Fluxes} {Across} {Topographical} {Positions} in {Tropical} {Forests} of the {Guiana} {Shield}. Ecosystems. :1–14.

Fu T, Touboul D, Della-Negra S, Houël E, Amusant N, Duplais C, Fisher GL, Brunelle A.  2018.  Tandem {MS} imaging and in situ characterization of bioactive wood metabolites in {Amazonian} tree species {Sextonia} rubra. Analytical Chemistry. :acs.analchem.8b01157.

Paine C.ETimothy, Deasey A, A. Duthie B.  2018.  Towards the general mechanistic prediction of community dynamics. Functional Ecology.

J. Hogan A, Hérault B, Bachelot B, Gorel A, Jounieaux M, Baraloto C.  2018.  Understanding the recruitment response of juvenile {Neotropical} trees to logging intensity using functional traits. Ecological Applications.

Aguilos M, Hérault B, Burban B, Wagner F, Bonal D.  2018.  What drives long-term variations in carbon flux and balance in a tropical rainforest in {French} {Guiana}? Agricultural and Forest Meteorology. 253-254:114–123.

Hmimina G., Dufrêne E., Pontailler J.-Y., Delpierre N., Aubinet M., Caquet B., de Grandcourt A., Burban B., Flechard C., Granier A. et al..  2013.  Evaluation of the potential of {MODIS} satellite data to predict vegetation phenology in different biomes: {An} investigation using ground-based {NDVI} measurements. Remote Sensing of Environment. 132:145–158.

Soudani K., Hmimina G., Delpierre N., Pontailler J.-Y., Aubinet M., Bonal D., Caquet B., de Grandcourt A., Burban B., Flechard C. et al..  2012.  Ground-based {Network} of {NDVI} measurements for tracking temporal dynamics of canopy structure and vegetation phenology in different biomes. Remote Sensing of Environment. 123:234–245.