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Hydrological niche segregation defines forest structure and drought tolerance strategies in a seasonal Amazon forest

, , , , , , , , , , , , and . Journal of Ecology, 107 (1): 318--333 (July 2018)
DOI: 10.1111/1365-2745.13022

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Hydrological niche segregation defines forest structure and drought tolerance strategies in a seasonal Amazon forest, , , , , , , , , and 3 other author(s). Journal of Ecology, 107 (1): 318--333 (July 2018)Vegetation chlorophyll estimates in the Amazon from multi-angle MODIS observations and canopy reflectance model., , , , , , , , , and 10 other author(s). Int. J. Appl. Earth Obs. Geoinformation, (2017)The land-atmosphere water flux in the tropics, , , , , , , , , and 13 other author(s). Global Change Biology, 15 (11): 2694--2714 (November 2009)Climate and leaf phenology controls on tropical forest photosynthesis., , , and . IGARSS, page 1731-1733. IEEE, (2016)Implications of Diurnal Changes in Leaf PRI on Remote Measurements of Light Use Efficiency., , , , , , , , , and 1 other author(s). IGARSS, page 9007-9010. IEEE, (2018)Confronting model predictions of carbon fluxes with measurements of Amazon forests subjected to experimental drought, , , , , , , , , and 7 other author(s). New Phytol, 200 (2): 350--365 (Oct 1, 2013)Inter-annual variability of carbon and water fluxes in Amazonian forest, Cerrado and pasture sites, as simulated by terrestrial biosphere models, , , , , , , , , and 22 other author(s). Agricultural and Forest Meteorology, (December 2013)Do dynamic global vegetation models capture the seasonality of carbon fluxes in the Amazon basin? A data-model intercomparison, , , , , , , , , and 4 other author(s). Glob Change Biol, 23 (1): 191--208 (Jan 1, 2017)Carbon Exchange in an Amazon Forest: from Hours to Years, , , , , , , , , and 6 other author(s). Biogeosciences Discussions, (Apr 13, 2018)Mechanisms of water supply and vegetation demand govern the seasonality and magnitude of evapotranspiration in Amazonia and Cerrado, , , , , , , , , and 25 other author(s). Agricultural and Forest Meteorology, (June 2014)