Peñuelas, J., Rutishauser, T. & Filella, I. Ecology. Phenology feedbacks on climate change. Science 324, 887–888 (2009).
Google Scholar
Phillips, O. L. et al. Drought sensitivity of the Amazon rainforest. Science 323, 1344–1347 (2009).
Google Scholar
Richardson, A. D. et al. Climate change, phenology, and phenological control of vegetation feedbacks to the climate system. Agric. Meteorol. 169, 156–173 (2013).
Wu, J. et al. Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests. Science 351, 972–976 (2016).
Google Scholar
Wright, J. S. et al. Rainforest-initiated wet season onset over the southern Amazon. Proc. Natl. Acad. Sci. USA 114, 8481–8486 (2017).
Google Scholar
Hilker, T. et al. Vegetation dynamics and rainfall sensitivity of the Amazon. Proc. Natl. Acad. Sci. USA 111, 16041–16046 (2014).
Google Scholar
Girardin, C. A. J. et al. Seasonal trends of Amazonian rainforest phenology, net primary productivity, and carbon allocation. Glob. Biogeochem. Cycles 30, 700–715 (2016).
Google Scholar
Maeda, E. E. et al. Consistency of vegetation index seasonality across the Amazon rainforest. Int. J. Appl. Earth Obs. Geoinf. 52, 42–53 (2016).
Google Scholar
Saleska, S. R. et al. Dry-season greening of Amazon forests. Nature 531, E4–E5 (2016). vol.
Google Scholar
Chen, X. et al. Vapor pressure deficit and sunlight explain seasonality of leaf phenology and photosynthesis across amazonian evergreen broadleaved forest. Global Biogeochem. Cycles https://doi.org/10.13140/2.1.5019.5520 (2021).
Hashimoto, H. et al. New generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests. Nat. Commun. 12, 684 (2021).
Google Scholar
Brando, P. M. et al. Seasonal and interannual variability of climate and vegetation indices across the Amazon. Proc. Natl. Acad. Sci. USA 107, 14685–14690 (2010).
Google Scholar
Wu, J. et al. Seasonality of Central Amazon forest leaf flush using tower-mounted RGB camera. In AGU Fall Meeting https://doi.org/10.13140/2.1.5019.5520 (2014).
Huete, A. R. et al. Amazon rainforests green-up with sunlight in dry season. Geophys. Res. Lett. https://doi.org/10.1029/2005GL025583 (2006).
Restrepo-Coupe, N. et al. What drives the seasonality of photosynthesis across the Amazon basin? A cross-site analysis of eddy flux tower measurements from the Brasil flux network. Agric. Meteorol. 182-183, 128–144 (2013).
Manoli, G., Ivanov, V. Y. & Fatichi, S. Dry-season greening and water stress in Amazonia: the role of modeling leaf phenology. J. Geophys. Res. Biogeosci. 123, 1909–1926 (2018).
Guan, K. et al. Photosynthetic seasonality of global tropical forests constrained by hydroclimate. Nat. Geosci. 8, 284–289 (2015).
Google Scholar
Lopes, A. P. et al. Leaf flush drives dry season green-up of the Central Amazon. Remote Sens. Environ. 182, 90–98 (2016).
Google Scholar
Smith, M. N. et al. Seasonal and drought-related changes in leaf area profiles depend on height and light environment in an Amazon forest. N. Phytol. 222, 1284–1297 (2019).
Mitchell Aide, T. Herbivory as a selective agent on the timing of leaf production in a tropical understory community. Nature 336, 574–575 (1988).
Myneni, R. B. et al. Large seasonal swings in leaf area of Amazon rainforests. Proc. Natl. Acad. Sci. USA 104, 4820–4823 (2007).
Google Scholar
Wu, J. et al. Partitioning controls on Amazon forest photosynthesis between environmental and biotic factors at hourly to interannual timescales. Glob. Chang. Biol. 23, 1240–1257 (2017).
Google Scholar
Nunes, M. H. et al. Recovery of logged forest fragments in a human-modified tropical landscape during the 2015-16 El Niño. Nat. Commun. 12, 1526 (2021).
Google Scholar
Vasconcelos, H. L. & Luizão, F. J. Litter production and litter nutrient concentrations in a fragmented Amazonian landscape. Ecol. Appl. 14, 884–892 (2004).
Laurance, W. F. et al. Rain forest fragmentation and the proliferation of successional trees. Ecology 87, 469–482 (2006).
Google Scholar
Uriarte, M. et al. Impacts of climate variability on tree demography in second growth tropical forests: the importance of regional context for predicting successional trajectories. Biotropica 48, 780–797 (2016).
Ewers, R. M. & Banks-Leite, C. Fragmentation impairs the microclimate buffering effect of tropical forests. PLoS One 8, e58093 (2013).
Google Scholar
Chave, J. et al. Regional and seasonal patterns of litterfall in tropical South America. Biogeosciences 7, 43–55 (2010).
Google Scholar
Barros, F. et al. Hydraulic traits explain differential responses of Amazonian forests to the 2015 El Niño-induced drought. N. Phytol. 223, 1253–1266 (2019).
Google Scholar
Brum, M. et al. Hydrological niche segregation defines forest structure and drought tolerance strategies in a seasonal Amazon forest. J. Ecol. 107, 318–333 (2019).
Signori-Müller, C. et al. Non-structural carbohydrates mediate seasonal water stress across Amazon forests. Nat. Commun. 12, 2310 (2021).
Google Scholar
Coelho de Souza, F. et al. Evolutionary heritage influences Amazon tree ecology. Proc. Biol. Sci. https://doi.org/10.1098/rspb.2016.1587 (2016).
Hansen, M. C. et al. The fate of tropical forest fragments. Sci. Adv. 6, eaax8574 (2020).
Google Scholar
Morton, D. C. et al. Amazon forests maintain consistent canopy structure and greenness during the dry season. Nature 506, 221–224 (2014).
Google Scholar
Draper, F. C. et al. Amazon tree dominance across forest strata. Nat. Ecol. Evol. 5, 757–767 (2020).
Calders, K. et al. Monitoring spring phenology with high temporal resolution terrestrial LiDAR measurements. Agric. Meteorol. 203, 158–168 (2015).
Disney, M. Terrestrial LiDAR: a three-dimensional revolution in how we look at trees. N. Phytol. 222, 1736–1741 (2019).
Tang, H. & Dubayah, R. Light-driven growth in Amazon evergreen forests explained by seasonal variations of vertical canopy structure. Proc. Natl. Acad. Sci. USA 114, 2640–2644 (2017).
Google Scholar
Laurance, W. F. et al. An Amazonian rainforest and its fragments as a laboratory of global change. Biol. Rev. Camb. Philos. Soc. 93, 223–247 (2018).
Google Scholar
Correction for Tang and Dubayah, Light-driven growth in Amazon evergreen forests explained by seasonal variations of vertical canopy structure. Proc. Natl. Acad. Sci. USA 116, 9137 (2019).
Ma, L. et al. Characterizing the three-dimensional spatiotemporal variation of forest photosynthetically active radiation using terrestrial laser scanning data. Agric. Meteorol. 301-302, 108346 (2021).
Laurans, M., Hérault, B., Vieilledent, G. & Vincent, G. Vertical stratification reduces competition for light in dense tropical forests. Ecol. Manag. 329, 79–88 (2014).
Garcia, M. N. et al. Importance of hydraulic strategy trade-offs in structuring response of canopy trees to extreme drought in Central Amazon. Oecologia https://doi.org/10.1007/s00442-021-04924-9 (2021).
Giardina, F. et al. Tall Amazonian forests are less sensitive to precipitation variability. Nat. Geosci. 11, 405–409 (2018).
Google Scholar
Brando, P. Tree height matters. Nat. Geosci. 11, 390–391 (2018).
Google Scholar
Stark, S. C. et al. Amazon forest carbon dynamics predicted by profiles of canopy leaf area and light environment. Ecol. Lett. 15, 1406–1414 (2012).
Google Scholar
Pyle, E. H. et al. Dynamics of carbon, biomass, and structure in two Amazonian forests. J. Geophys. Res. https://doi.org/10.1029/2007JG000592 (2008).
Gorgens, E. B. et al. Resource availability and disturbance shape maximum tree height across the Amazon. Glob. Chang. Biol. 27, 177–189 (2021).
Google Scholar
Oliveira, R. S. et al. Linking plant hydraulics and the fast-slow continuum to understand resilience to drought in tropical ecosystems. N. Phytol. 230, 904–923 (2021).
Falster, D. S. & Westoby, M. Leaf size and angle vary widely across species: what consequences for light interception? N. Phytol. 158, 509–525 (2003).
Chavana-Bryant, C. et al. Leaf aging of Amazonian canopy trees as revealed by spectral and physiochemical measurements. N. Phytol. 214, 1049–1063 (2017).
Google Scholar
Brando, P. M. et al. Drought effects on litterfall, wood production and belowground carbon cycling in an Amazon forest: results of a throughfall reduction experiment. Philos. Trans. R. Soc. Lond. B Biol. Sci. 363, 1839–1848 (2008).
Google Scholar
Wang, D., Momo Takoudjou, S. & Casella, E. LeWoS: a universal leaf-wood classification method to facilitate the 3D modelling of large tropical trees using terrestrial LiDAR. Methods Ecol. Evol. 11, 376–389 (2020).
Grossiord, C. et al. Plant responses to rising vapor pressure deficit. N. Phytol. 226, 1550–1566 (2020).
Smith, M. N. et al. Empirical evidence for resilience of tropical forest photosynthesis in a warmer world. Nat. Plants 6, 1225–1230 (2020).
Google Scholar
Aleixo, I. et al. Amazonian rainforest tree mortality driven by climate and functional traits. Nat. Clim. Chang. 9, 384–388 (2019).
Google Scholar
Lohbeck, M. et al. Successional changes in functional composition contrast for dry and wet tropical forest. Ecology 94, 1211–1216 (2013).
Google Scholar
Lambers, H. & Oliveira, R. S. in Plant Physiological Ecology (eds. Lambers, H. & Oliveira, R. S.) 385–449 (Springer International Publishing, 2019).
Reich, P. B. Key canopy traits drive forest productivity. Proc. Biol. Sci. 279, 2128–2134 (2012).
Google Scholar
Albiero-Júnior, A., Venegas-González, A., Camargo, J. L. C., Roig, F. A. & Tomazello-Filho, M. Amazon forest fragmentation and edge effects temporarily favored understory and midstory tree growth. Trees https://doi.org/10.1007/s00468-021-02172-1 (2021).
Doughty, C. E. et al. Drought impact on forest carbon dynamics and fluxes in Amazonia. Nature 519, 78–82 (2015).
Google Scholar
San-José, M., Werden, L., Peterson, C. J., Oviedo-Brenes, F. & Zahawi, R. A. Large tree mortality leads to major aboveground biomass decline in a tropical forest reserve. Oecologia https://doi.org/10.1007/s00442-021-05048-w (2021).
Qin, Y. et al. Carbon loss from forest degradation exceeds that from deforestation in the Brazilian Amazon. Nat. Clim. Chang. 11, 442–448 (2021).
Brinck, K. et al. High resolution analysis of tropical forest fragmentation and its impact on the global carbon cycle. Nat. Commun. 8, 14855 (2017).
Google Scholar
Duffy, P. B., Brando, P., Asner, G. P. & Field, C. B. Projections of future meteorological drought and wet periods in the Amazon. Proc. Natl. Acad. Sci. USA 112, 13172–13177 (2015).
Google Scholar
Silva Junior, C. H. L. et al. Persistent collapse of biomass in Amazonian forest edges following deforestation leads to unaccounted carbon losses. Sci. Adv. 6, eaaz8360 (2020).
Forrest, J. & Miller-Rushing, A. J. Toward a synthetic understanding of the role of phenology in ecology and evolution. Philos. Trans. R. Soc. Lond. B Biol. Sci. 365, 3101–3112 (2010).
Google Scholar
Park, J. Y. et al. Quantifying leaf phenology of individual trees and species in a tropical forest using unmanned aerial vehicle (UAV) images. Remote Sens. 11, 1534 (2019).
Google Scholar
Dubayah, R. et al. The global ecosystem dynamics investigation: high-resolution laser ranging of the Earth’s forests and topography. Egypt. J. Remote Sens. Space Sci. 1, 100002 (2020).
Coomes, D. A. et al. Area-based vs tree-centric approaches to mapping forest carbon in Southeast Asian forests from airborne laser scanning data. Remote Sens. Environ. 194, 77–88 (2017).
Google Scholar
Calders, K. et al. Terrestrial laser scanning in forest ecology: expanding the horizon. Remote Sens. Environ. 251, 112102 (2020).
Google Scholar
Nobre, C. A. et al. Land-use and climate change risks in the Amazon and the need of a novel sustainable development paradigm. Proc. Natl. Acad. Sci. USA 113, 10759–10768 (2016).
Google Scholar
Almeida, D. R. A. et al. Persistent effects of fragmentation on tropical rainforest canopy structure after 20 yr of isolation. Ecol. Appl. 29, e01952 (2019).
Google Scholar
Wilkes, P. et al. Data acquisition considerations for terrestrial laser scanning of forest plots. Remote Sens. Environ. 196, 140–153 (2017).
Google Scholar
Vincent, G. et al. Mapping plant area index of tropical evergreen forest by airborne laser scanning. A cross-validation study using LAI2200 optical sensor. Remote Sens. Environ. 198, 254–266 (2017).
Google Scholar
Pimont, F., Allard, D., Soma, M. & Dupuy, J.-L. Estimators and confidence intervals for plant area density at voxel scale with T-LiDAR. Remote Sens. Environ. 215, 343–370 (2018).
Google Scholar
Vincent, G., Pimont, F. & Verley, P. A note on PAD/LAD Estimators Implemented in AMAPVox 1.7.https://doi.org/10.23708/1AJNMP (2021)
Ross, J. The radiation regime and architecture of plant stands (Springer, 1981).
Béland, M., Widlowski, J.-L., Fournier, R. A., Côté, J.-F. & Verstraete, M. M. Estimating leaf area distribution in savanna trees from terrestrial LiDAR measurements. Agric. Meteorol. 151, 1252–1266 (2011).
Almeida, D. R. Ade et al. Optimizing the remote detection of tropical rainforest structure with airborne LiDAR: leaf area profile sensitivity to pulse density and spatial sampling. Remote Sens. 11, 92 (2019).
Google Scholar
Qie, L. et al. Long-term carbon sink in Borneo’s forests halted by drought and vulnerable to edge effects. Nat. Commun. 8, 1966 (2017).
Google Scholar
Росс, Ю. & Ross, J. The radiation regime and architecture of plant stands (Springer Science & Business Media, 1981).
Berry, Z. C. & Goldsmith, G. R. Diffuse light and wetting differentially affect tropical tree leaf photosynthesis. N. Phytol. 225, 143–153 (2020).
Google Scholar
Mercado, L. M. et al. Impact of changes in diffuse radiation on the global land carbon sink. Nature 458, 1014–1017 (2009).
Google Scholar
USGS. LP DAAC—MCD18A1. https://lpdaac.usgs.gov/products/mcd18a1v006/ (2008).
Maeda, E. E. et al. Large-scale commodity agriculture exacerbates the climatic impacts of Amazonian deforestation. Proc. Natl. Acad. Sci. USA 118, e2023787118 (2021).
Engelbrecht, B. M. J. et al. Drought sensitivity shapes species distribution patterns in tropical forests. Nature 447, 80–82 (2007).
Google Scholar
Zellweger, F. et al. Forest microclimate dynamics drive plant responses to warming. Science 368, 772–775 (2020).
Google Scholar
Wild, J. et al. Climate at ecologically relevant scales: a new temperature and soil moisture logger for long-term microclimate measurement. Agric. Meteorol. 268, 40–47 (2019).
Camargo, J. L. C. & Kapos, V. Complex edge effects on oil moisture and microclimate in Central Amazonian forest. J. Trop. Ecol. 11, 205–221 (1995).
Zuur, A., Ieno, E. N., Walker, N., Saveliev, A. A. & Smith, G. M. Mixed Effects Models and Extensions in Ecology with R (Springer Science & Business Media, 2009).
Malhi, Y., Phillips, O. L. & Laurance, W. F. Forest-climate interactions in fragmented tropical landscapes. Philos. Trans. R. Soc. Lond. B Biol. Sci. 359, 345–352 (2004).
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