Fauset, S. et al. Drought-induced shifts in the floristic and functional composition of tropical forests in Ghana. Ecol. Lett. 15, 1120–1129 (2012).Thank you for reading this post, don’t forget to subscribe! Article PubMed Google Scholar Lewis, S. L. et al. Above-ground biomass and structure of 260 African tropical forests. Philos. Trans. R. Soc. B 368,
Fauset, S. et al. Drought-induced shifts in the floristic and functional composition of tropical forests in Ghana. Ecol. Lett. 15, 1120–1129 (2012).
Thank you for reading this post, don't forget to subscribe!Google Scholar
Lewis, S. L. et al. Above-ground biomass and structure of 260 African tropical forests. Philos. Trans. R. Soc. B 368, 20120295 (2013).
Google Scholar
Álvarez-Dávila, E. et al. Forest biomass density across large climate gradients in northern South America is related to water availability but not with temperature. PLoS ONE 12, e0171072 (2017).
Google Scholar
Sullivan, M. J. P. et al. Long-term thermal sensitivity of Earth’s tropical forests. Science 368, 869–874 (2020).
Google Scholar
Muller-Landau, H. C. et al. Patterns and mechanisms of spatial variation in tropical forest productivity, woody residence time, and biomass. New Phytol. 229, 3065–3087 (2021).
Google Scholar
Shenkin, A. et al. The world’s tallest tropical tree in three dimensions. Front. For. Glob. Change 2, 32 (2019).
Google Scholar
Borges de Lima, R. B. et al. Mapping the density of giant trees in the Amazon. New Phytol. 249, 152–168 (2026).
Google Scholar
Erb, K.-H. et al. Unexpectedly large impact of forest management and grazing on global vegetation biomass. Nature 553, 73–76 (2018).
Google Scholar
Johnson, M. O. et al. Variation in stem mortality rates determines patterns of above-ground biomass in Amazonian forests: implications for dynamic global vegetation models. Glob. Change Biol. 22, 3996–4013 (2016).
Google Scholar
Saatchi, S. S. et al. Benchmark map of forest carbon stocks in tropical regions across three continents. Proc. Natl Acad. Sci. USA 108, 9899–9904 (2011).
Google Scholar
Mitchard, E. T. A. et al. Markedly divergent estimates of Amazon forest carbon density from ground plots and satellites. Glob. Ecol. Biogeogr. 23, 935–946 (2014).
Google Scholar
McMichael, C. N. H., Matthews-Bird, F., Farfan-Rios, W. & Feeley, K. J. Ancient human disturbances may be skewing our understanding of Amazonian forests. Proc. Natl Acad. Sci. USA 114, 522–527 (2017).
Google Scholar
Carvalho, R. L. et al. Pervasive gaps in Amazonian ecological research. Curr. Biol. 33, 3495–3504 (2023).
Google Scholar
Slik, J. W. F. et al. Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics: Large trees and tropical forest biomass. Glob. Ecol. Biogeogr. 22, 1261–1271 (2013).
Google Scholar
Gora, E. M. et al. Storms are an important driver of change in tropical forests. Ecol. Lett. 28, e70157 (2025).
Google Scholar
Ramming, A. et al. A generic pixel-to-point comparison for simulated large-scale ecosystem properties and ground-based observations: an example from the Amazon region. Geosci. Model Dev. 11, 5203–5215 (2018).
Google Scholar
Tavares, J. V. et al. Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests. Nature 617, 111–117 (2023).
Google Scholar
Chen, S. et al. Amazon forest biogeography predicts resilience and vulnerability to drought. Nature 631, 111–117 (2024).
Google Scholar
Rowland, L. et al. Death from drought in tropical forests is triggered by hydraulics not carbon starvation. Nature 528, 119–122 (2015).
Google Scholar
McDowell, N. et al. Drivers and mechanisms of tree mortality in moist tropical forests. New Phytol. 219, 851–869 (2018).
Google Scholar
Negrón-Juárez, R. I. et al. Vulnerability of Amazon forests to storm-driven tree mortality. Environ. Res. Lett. 13, 054021 (2018).
Google Scholar
Gora, E. M., Burchfield, J. C., Muller-Landau, H. C., Bitzer, P. M. & Yanoviak, S. P. Pantropical geography of lightning-caused disturbance and its implications for tropical forests. Glob. Change Biol. 26, 5017–5026 (2020).
Google Scholar
Feng, Y., Negrón-Juárez, R. I., Romps, D. M. & Chambers, J. Q. Amazon windthrow disturbances are likely to increase with storm frequency under global warming. Nat. Commun. 14, 101 (2023).
Google Scholar
Guan, K. et al. Photosynthetic seasonality of global tropical forests constrained by hydroclimate. Nat. Geosci. 8, 284–289 (2015).
Google Scholar
Asner, G. P. et al. Landscape biogeochemistry reflected in shifting distributions of chemical traits in the Amazon forest canopy. Nat. Geosci. 8, 567–573 (2015).
Google Scholar
Dubayah, R. et al. The Global Ecosystem Dynamics Investigation: high-resolution laser ranging of the Earth’s forests and topography. Sci. Remote Sens. 1, 100002 (2020).
Google Scholar
Potapov, P. et al. Mapping the world’s intact forest landscapes by remote sensing. Ecol. Soc. 13, 51 (2008).
Google Scholar
Duncanson, L. et al. Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission. Remote Sens. Environ. 270, 112845 (2022).
Google Scholar
Sullivan, M. J. P. et al. Variation in wood density across South American tropical forests. Nat. Commun. 16, 2351 (2025).
Google Scholar
Patterson, P. L. et al. Statistical properties of hybrid estimators proposed for GEDI—NASA’s global ecosystem dynamics investigation. Environ. Res. Lett. 14, 065007 (2019).
Google Scholar
Negron-Juarez, R. et al. Windthrow characteristics and their regional association with rainfall, soil, and surface elevation in the Amazon. Environ. Res. Lett. 18, 014030 (2023).
Google Scholar
Negron-Juarez, R. et al. Widespread forest disturbance from windthrow in central African rainforests. npj Nat. Hazards 3, 9 (2026).
Google Scholar
Chambers, J. Q. et al. Hot droughts in the Amazon provide a window to a future hypertropical climate. Nature 649, 1190–1196 (2026).
Google Scholar
ter Steege, H. et al. Hyperdominance in the Amazonian tree flora. Science 342, 1243092 (2013).
Google Scholar
Parmentier, I. et al. The odd man out? Might climate explain the lower tree α-diversity of African rain forests relative to Amazonian rain forests? J. Ecol. 95, 1058–1071 (2007).
Google Scholar
Phillips, O. L. et al. Pattern and process in Amazon tree turnover, 1976-2001. Philos. Trans. R. Soc. B 359, 381–407 (2004).
Google Scholar
Réjou-Méchain, M. et al. Local spatial structure of forest biomass and its consequences for remote sensing of carbon stocks. Biogeosciences 11, 6827–6840 (2014).
Google Scholar
Phillips, O. L. et al. Drought-mortality relationships for tropical forests. New Phytol. 187, 631–646 (2010).
Google Scholar
Ashton, P. Dipterocarp biology as a window to the understanding of tropical forest structure. Annu. Rev. Ecol. Syst. 19, 347–370 (1988).
Google Scholar
Signori-Müller, C. et al. Non-structural carbohydrates mediate seasonal water stress across Amazon forests. Nat. Commun. 12, 2310 (2021).
Google Scholar
Longo, M. et al. Ecosystem heterogeneity and diversity mitigate Amazon forest resilience to frequent extreme droughts. New Phytol. 219, 914–931 (2018).
Google Scholar
Bennett, A. C. et al. Sensitivity of South American tropical forests to an extreme climate anomaly. Nat. Clim. Change 13, 967–974 (2023).
Google Scholar
Aleixo, I. et al. Amazonian rainforest tree mortality driven by climate and functional traits. Nat. Clim. Change 9, 384–388 (2019).
Google Scholar
Gora, E. M. et al. How some tropical trees benefit from being struck by lightning: evidence for Dipteryx oleifera and other large-statured trees. New Phytol. 246, 1554–1566 (2025).
Google Scholar
Doughty, C. E. et al. Drought impact on forest carbon dynamics and fluxes in Amazonia. Nature 519, 78–82 (2015).
Google Scholar
Aguirre-Gutiérrez, J. et al. Canopy functional trait variation across Earth’s tropical forests. Nature 641, 129–136 (2025).
Google Scholar
Bennett, A. C. et al. Resistance of African tropical forests to an extreme climate anomaly. Proc. Natl Acad. Sci. USA 118, e2003169118 (2021).
Google Scholar
Réjou-Méchain, M. et al. Unveiling African rainforest composition and vulnerability to global change. Nature 593, 90–94 (2021).
Google Scholar
Zhang-Zheng, H. et al. Contrasting carbon cycle along tropical forest aridity gradients in West Africa and Amazonia. Nat. Commun. 15, 3158 (2024).
Google Scholar
Zhao, M. & Running, S. W. Drought-induced reduction in global terrestrial net primary production from 2000 through 2009. Science 329, 940–943 (2010).
Google Scholar
Marra, D. M. et al. Large-scale wind disturbances promote tree diversity in a Central Amazon forest. PLoS ONE 9, e103711 (2014).
Google Scholar
Richards, J. H. et al. Tropical tree species differ in damage and mortality from lightning. Nat. Plants 8, 1007–1013 (2022).
Google Scholar
Esquivel-Muelbert, A. et al. Tree mode of death and mortality risk factors across Amazon forests. Nat. Commun. 11, 5515 (2020).
Google Scholar
Reis, S. M. et al. Climate and crown damage drive tree mortality in southern Amazonian edge forests. J. Ecol. 110, 876–888 (2022).
Google Scholar
Jackson, T. D. et al. Tall Bornean forests experience higher canopy disturbance rates than those in the eastern Amazon or Guiana shield. Glob. Change Biol. 30, e17493 (2024).
Google Scholar
Negron-Juarez, R. Widespread windthrow in Southeast Asian tropical forests verified by satellite observations. Environ. Res. Commun. 8, 021003 (2026).
Google Scholar
Jackson, T. D. et al. The mechanical stability of the world’s tallest broadleaf trees. Biotropica 53, 110–120 (2021).
Google Scholar
de Lima, R. B. et al. Mapping the density of giant trees in the Amazon. New Phytol. 249, 152–168 (2026).
Google Scholar
Fauset, S. et al. Hyperdominance in Amazonian forest carbon cycling. Nat. Commun. 6, 6857 (2015).
Google Scholar
Gatti, L. V. et al. Amazonia as a carbon source linked to deforestation and climate change. Nature 595, 388–393 (2021).
Google Scholar
Ordway, E. M. et al. The PANGEA Scoping Study Final Report. ORNL DAAC https://doi.org/10.3334/ORNLDAAC/2405 (2025).
Grossiord, C. et al. Plant responses to rising vapor pressure deficit. New Phytol. 226, 1550–1566 (2020).
Google Scholar
Slot, M., Rifai, S. W., Eze, C. E. & Winter, K. The stomatal response to vapor pressure deficit drives the apparent temperature response of photosynthesis in tropical forests. New Phytol. 244, 1238–1249 (2024).
Google Scholar
Dubayah, R. O. et al. GEDI L3 Gridded Land Surface Metrics, version 1. ORNL DAAC https://doi.org/10.3334/ORNLDAAC/1865 (2021).
Kellner, J. R., Armston, J. & Duncanson, L. Algorithm theoretical basis document for GEDI footprint aboveground biomass density. Earth Space Sci. 10, e2022EA002516 (2023).
Google Scholar
Gorgens, E. B. et al. The giant trees of the Amazon basin. Front. Ecol. Environ. 17, 373–374 (2019).
Google Scholar
Hemp, A. et al. Africa’s highest mountain harbours Africa’s tallest trees. Biodivers. Conserv. 26, 103–113 (2017).
Google Scholar
Potapov, P. et al. The last frontiers of wilderness: tracking loss of intact forest landscapes from 2000 to 2013. Sci. Adv. 3, e1600821 (2017).
Google Scholar
Laurance, W. F. et al. An Amazonian rainforest and its fragments as a laboratory of global change: Amazonian fragments and global change. Biol. Rev. Camb. Philos. Soc. 93, 223–247 (2018).
Google Scholar
Hansen, M. C. et al. Global land use extent and dispersion within natural land cover using Landsat data. Environ. Res. Lett. 17, 034050 (2022).
Google Scholar
Householder, J. E. et al. Modeling the ecological responses of tree species to the flood pulse of the Amazon Negro River floodplains. Front. Ecol. Evol. 9, 628606 (2021).
Google Scholar
Householder, J. E. et al. One sixth of Amazonian tree diversity is dependent on river floodplains. Nat. Ecol. Evol. 8, 901–911 (2024).
Google Scholar
Rovai, A. S. et al. Scaling mangrove aboveground biomass from site-level to continental-scale: scaling up mangrove AGB from site- to continental-level. Glob. Ecol. Biogeogr. 25, 286–298 (2016).
Google Scholar
Simard, M. et al. Mangrove canopy height globally related to precipitation, temperature and cyclone frequency. Nat. Geosci. 12, 40–45 (2019).
Google Scholar
Corlett, R. T. & Primack, R. B. Tropical Rain Forests: an Ecological and Biogeographical Comparison (Wiley-Blackwell, 2011).
Oliveira, R. S., Eller, C. B., Bittencourt, P. R. L. & Mulligan, M. The hydroclimatic and ecophysiological basis of cloud forest distributions under current and projected climates. Ann. Bot. 113, 909–920 (2014).
Google Scholar
Cuni-Sanchez, A. et al. High aboveground carbon stock of African tropical montane forests. Nature 596, 536–542 (2021).
Google Scholar
Pascual, A. et al. Assessing the performance of NASA’s GEDI L4A footprint aboveground biomass density models using National Forest Inventory and airborne laser scanning data in Mediterranean forest ecosystems. For. Ecol. Manage. 538, 120975 (2023).
Google Scholar
Avitabile, V. et al. An integrated pan-tropical biomass map using multiple reference datasets. Glob. Change Biol. 22, 1406–1420 (2016).
Google Scholar
Takyu, M., Aiba, S.-I. & Kitayama, K. Changes in biomass, productivity and decomposition along topographical gradients under different geological conditions in tropical lower montane forests on Mount Kinabalu, Borneo. Oecologia 134, 397–404 (2003).
Google Scholar
Asner, G. P., Flint Hughes, R., Varga, T. A., Knapp, D. E. & Kennedy-Bowdoin, T. Environmental and biotic controls over aboveground biomass throughout a tropical Rain Forest. Ecosystems 12, 261–278 (2009).
Google Scholar
Berzaghi, F. et al. Carbon stocks in central African forests enhanced by elephant disturbance. Nat. Geosci. 12, 725–729 (2019).
Google Scholar
Sorokina, H. E. et al. East African megafauna influence on vegetation structure permeates from landscape to tree level scales. Ecol. Inform. 79, 102435 (2024).
Google Scholar
Magnabosco Marra, D. et al. Windthrows control biomass patterns and functional composition of Amazon forests. Glob. Change Biol. 24, 5867–5881 (2018).
Google Scholar
Nogueira, D. S. et al. Impacts of fire on forest biomass dynamics at the southern Amazon edge. Environ. Conserv. 46, 285–292 (2019).
Google Scholar
Berenguer, E. et al. Tracking the impacts of El Niño drought and fire in human-modified Amazonian forests. Proc. Natl Acad. Sci. USA 118, e2019377118 (2021).
Google Scholar
Aguirre-Gutiérrez, J. et al. Long-term droughts may drive drier tropical forests towards increased functional, taxonomic and phylogenetic homogeneity. Nat. Commun. 11, 3346 (2020).
Google Scholar
Levis, C. et al. Persistent effects of pre-Columbian plant domestication on Amazonian forest composition. Science 355, 925–931 (2017).
Google Scholar
Oliveira, E. A. et al. Legacy of Amazonian Dark Earth soils on forest structure and species composition. Glob. Ecol. Biogeogr. 29, 1458–1473 (2020).
Google Scholar
Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G. & Jarvis, A. Very high resolution interpolated climate surfaces for global land areas. Int. J. Climatol. 25, 1965–1978 (2005).
Google Scholar
Vicente-Serrano, S. M., Beguería, S. & López-Moreno, J. I. A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. J. Clim. 23, 1696–1718 (2010).
Google Scholar
Beguería, S., Vicente Serrano, S. M., Reig-Gracia, F. & Latorre Garcés, B. SPEIbase v.2.9 [Dataset]. DIGITAL.CSIC https://doi.org/10.20350/DIGITALCSIC/15470 (2023).
Gebrechorkos, S. H. et al. Warming accelerates global drought severity. Nature 642, 628–635 (2025).
Google Scholar
Zhong, S., Sun, Z. & Di, L. Characteristics of vegetation response to drought in the CONUS based on long-term remote sensing and meteorological data. Ecol. Indic. 127, 107767 (2021).
Google Scholar
Aragão, L. E. O. C. et al. Spatial patterns and fire response of recent Amazonian droughts. Geophys. Res. Lett. 34, L07701 (2007).
Google Scholar
Funk, C. et al. The climate hazards infrared precipitation with stations–a new environmental record for monitoring extremes. Sci. Data 2, 150066 (2015).
Google Scholar
Kang, S., Running, S. W., Zhao, M., Kimball, J. S. & Glassy, J. Improving continuity of MODIS terrestrial photosynthesis products using an interpolation scheme for cloudy pixels. Int. J. Remote Sens. 26, 1659–1676 (2005).
Google Scholar
Uriarte, M., Thompson, J. & Zimmerman, J. K. Hurricane María tripled stem breaks and doubled tree mortality relative to other major storms. Nat. Commun. 10, 1362 (2019).
Google Scholar
Hengl, T. et al. SoilGrids250m: global gridded soil information based on machine learning. PLoS ONE 12, e0169748 (2017).
Google Scholar
Detto, M., Muller-Landau, H. C., Mascaro, J. & Asner, G. P. Hydrological networks and associated topographic variation as templates for the spatial organization of tropical forest vegetation. PLoS ONE 8, e76296 (2013).
Google Scholar
Mascaro, J. et al. Controls over aboveground forest carbon density on Barro Colorado Island, Panama. Biogeosciences 8, 1615–1629 (2011).
Google Scholar
Jucker, T. et al. Topography shapes the structure, composition and function of tropical forest landscapes. Ecol. Lett. 21, 989–1000 (2018).
Google Scholar
Dinerstein, E. et al. An ecoregion-based approach to protecting half the terrestrial realm. Bioscience 67, 534–545 (2017).
Google Scholar
Levin, S. A. The problem of pattern and scale in ecology: the Robert H. MacArthur Award lecture. Ecology 73, 1943–1967 (1992).
Google Scholar
Nunes, M. H. GEDI data of lowland intact tropical forests. Zenodo https://doi.org/10.5281/zenodo.19474558 (2026).
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