Fauset, S. et al. Drought-induced shifts in the floristic and functional composition of tropical forests in Ghana. Ecol. Lett. 15, 1120\u20131129 (2012).<\/p>\n
Article<\/a>\u00a0 Lewis, S. L. et al. Above-ground biomass and structure of 260 African tropical forests. Philos. Trans. R. Soc. B 368, 20120295 (2013).<\/p>\n Article<\/a>\u00a0 \u00c1lvarez-D\u00e1vila, 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\u00a012, e0171072 (2017).<\/p>\n Article<\/a>\u00a0 Sullivan, M. J. P. et al. Long-term thermal sensitivity of Earth\u2019s tropical forests. Science 368, 869\u2013874 (2020).<\/p>\n Article<\/a>\u00a0 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\u20133087 (2021).<\/p>\n Article<\/a>\u00a0 Shenkin, A. et al. The world\u2019s tallest tropical tree in three dimensions. Front. For. Glob. Change 2, 32 (2019).<\/p>\n Article<\/a>\u00a0 Borges de Lima, R. B. et al. Mapping the density of giant trees in the Amazon. New Phytol. 249, 152\u2013168 (2026).<\/p>\n Article<\/a>\u00a0 Erb, K.-H. et al. Unexpectedly large impact of forest management and grazing on global vegetation biomass. Nature 553, 73\u201376 (2018).<\/p>\n Article<\/a>\u00a0 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\u20134013 (2016).<\/p>\n Article<\/a>\u00a0 Saatchi, S. S. et al. Benchmark map of forest carbon stocks in tropical regions across three continents. Proc. Natl Acad. Sci. USA 108, 9899\u20139904 (2011).<\/p>\n Article<\/a>\u00a0 Mitchard, E. T. A. et al. Markedly divergent estimates of Amazon forest carbon density from ground plots and satellites. Glob. Ecol. Biogeogr. 23, 935\u2013946 (2014).<\/p>\n Article<\/a>\u00a0 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\u2013527 (2017).<\/p>\n Article<\/a>\u00a0 Carvalho, R. L. et al. Pervasive gaps in Amazonian ecological research. Curr. Biol. 33, 3495\u20133504 (2023).<\/p>\n Article<\/a>\u00a0 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\u20131271 (2013).<\/p>\n Article<\/a>\u00a0 Gora, E. M. et al. Storms are an important driver of change in tropical forests. Ecol. Lett. 28, e70157 (2025).<\/p>\n Article<\/a>\u00a0 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\u20135215 (2018).<\/p>\n Article<\/a>\u00a0 Tavares, J. V. et al. Basin-wide variation in tree hydraulic safety margins predicts the carbon balance of Amazon forests. Nature 617, 111\u2013117 (2023).<\/p>\n Article<\/a>\u00a0 Chen, S. et al. Amazon forest biogeography predicts resilience and vulnerability to drought. Nature 631, 111\u2013117 (2024).<\/p>\n Article<\/a>\u00a0 Rowland, L. et al. Death from drought in tropical forests is triggered by hydraulics not carbon starvation. Nature 528, 119\u2013122 (2015).<\/p>\n Article<\/a>\u00a0 McDowell, N. et al. Drivers and mechanisms of tree mortality in moist tropical forests. New Phytol. 219, 851\u2013869 (2018).<\/p>\n Article<\/a>\u00a0 Negr\u00f3n-Ju\u00e1rez, R. I. et al. Vulnerability of Amazon forests to storm-driven tree mortality. Environ. Res. Lett. 13, 054021 (2018).<\/p>\n Article<\/a>\u00a0 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\u20135026 (2020).<\/p>\n Article<\/a>\u00a0 Feng, Y., Negr\u00f3n-Ju\u00e1rez, 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).<\/p>\n Article<\/a>\u00a0 Guan, K. et al. Photosynthetic seasonality of global tropical forests constrained by hydroclimate. Nat. Geosci. 8, 284\u2013289 (2015).<\/p>\n Article<\/a>\u00a0 Asner, G. P. et al. Landscape biogeochemistry reflected in shifting distributions of chemical traits in the Amazon forest canopy. Nat. Geosci. 8, 567\u2013573 (2015).<\/p>\n Article<\/a>\u00a0 Dubayah, R. et al. The Global Ecosystem Dynamics Investigation: high-resolution laser ranging of the Earth\u2019s forests and topography. Sci. Remote Sens. 1, 100002 (2020).<\/p>\n Article<\/a>\u00a0 Potapov, P. et al. Mapping the world\u2019s intact forest landscapes by remote sensing. Ecol. Soc. 13, 51 (2008).<\/p>\n Article<\/a>\u00a0 Duncanson, L. et al. Aboveground biomass density models for NASA\u2019s Global Ecosystem Dynamics Investigation (GEDI) lidar mission. Remote Sens. Environ. 270, 112845 (2022).<\/p>\n Article<\/a>\u00a0 Sullivan, M. J. P. et al. Variation in wood density across South American tropical forests. Nat. Commun. 16, 2351 (2025).<\/p>\n Article<\/a>\u00a0 Patterson, P. L. et al. Statistical properties of hybrid estimators proposed for GEDI\u2014NASA\u2019s global ecosystem dynamics investigation. Environ. Res. Lett. 14, 065007 (2019).<\/p>\n Article<\/a>\u00a0 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).<\/p>\n Article<\/a>\u00a0 Negron-Juarez, R. et al. Widespread forest disturbance from windthrow in central African rainforests. npj Nat. Hazards 3, 9 (2026).<\/p>\n Article<\/a>\u00a0 Chambers, J. Q. et al. Hot droughts in the Amazon provide a window to a future hypertropical climate. Nature 649, 1190\u20131196 (2026).<\/p>\n Article<\/a>\u00a0 ter Steege, H. et al. Hyperdominance in the Amazonian tree flora. Science 342, 1243092 (2013).<\/p>\n Article<\/a>\u00a0 Parmentier, I. et al. The odd man out? Might climate explain the lower tree \u03b1-diversity of African rain forests relative to Amazonian rain forests? J. Ecol. 95, 1058\u20131071 (2007).<\/p>\n Article<\/a>\u00a0 Phillips, O. L. et al. Pattern and process in Amazon tree turnover, 1976-2001. Philos. Trans. R. Soc. B 359, 381\u2013407 (2004).<\/p>\n Article<\/a>\u00a0 R\u00e9jou-M\u00e9chain, M. et al. Local spatial structure of forest biomass and its consequences for remote sensing of carbon stocks. Biogeosciences 11, 6827\u20136840 (2014).<\/p>\n Article<\/a>\u00a0 Phillips, O. L. et al. Drought-mortality relationships for tropical forests. New Phytol. 187, 631\u2013646 (2010).<\/p>\n Article<\/a>\u00a0 Ashton, P. Dipterocarp biology as a window to the understanding of tropical forest structure. Annu. Rev. Ecol. Syst. 19, 347\u2013370 (1988).<\/p>\n Article<\/a>\u00a0 Signori-M\u00fcller, C. et al. Non-structural carbohydrates mediate seasonal water stress across Amazon forests. Nat. Commun. 12, 2310 (2021).<\/p>\n Article<\/a>\u00a0 Longo, M. et al. Ecosystem heterogeneity and diversity mitigate Amazon forest resilience to frequent extreme droughts. New Phytol. 219, 914\u2013931 (2018).<\/p>\n Article<\/a>\u00a0 Bennett, A. C. et al. Sensitivity of South American tropical forests to an extreme climate anomaly. Nat. Clim. Change 13, 967\u2013974 (2023).<\/p>\n Article<\/a>\u00a0 Aleixo, I. et al. Amazonian rainforest tree mortality driven by climate and functional traits. Nat. Clim. Change 9, 384\u2013388 (2019).<\/p>\n Article<\/a>\u00a0 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\u20131566 (2025).<\/p>\n Article<\/a>\u00a0 Doughty, C. E. et al. Drought impact on forest carbon dynamics and fluxes in Amazonia. Nature 519, 78\u201382 (2015).<\/p>\n Article<\/a>\u00a0 Aguirre-Guti\u00e9rrez, J. et al. Canopy functional trait variation across Earth\u2019s tropical forests. Nature 641, 129\u2013136 (2025).<\/p>\n Article<\/a>\u00a0 Bennett, A. C. et al. Resistance of African tropical forests to an extreme climate anomaly. Proc. Natl Acad. Sci. USA 118, e2003169118 (2021).<\/p>\n Article<\/a>\u00a0 R\u00e9jou-M\u00e9chain, M. et al. Unveiling African rainforest composition and vulnerability to global change. Nature 593, 90\u201394 (2021).<\/p>\n Article<\/a>\u00a0 Zhang-Zheng, H. et al. Contrasting carbon cycle along tropical forest aridity gradients in West Africa and Amazonia. Nat. Commun. 15, 3158 (2024).<\/p>\n Article<\/a>\u00a0 Zhao, M. & Running, S. W. Drought-induced reduction in global terrestrial net primary production from 2000 through 2009. Science 329, 940\u2013943 (2010).<\/p>\n Article<\/a>\u00a0 Marra, D. M. et al. Large-scale wind disturbances promote tree diversity in a Central Amazon forest. PLoS ONE\u00a09, e103711 (2014).<\/p>\n Article<\/a>\u00a0 Richards, J. H. et al. Tropical tree species differ in damage and mortality from lightning. Nat. Plants 8, 1007\u20131013 (2022).<\/p>\n Article<\/a>\u00a0 Esquivel-Muelbert, A. et al. Tree mode of death and mortality risk factors across Amazon forests. Nat. Commun. 11, 5515 (2020).<\/p>\n Article<\/a>\u00a0 Reis, S. M. et al. Climate and crown damage drive tree mortality in southern Amazonian edge forests. J. Ecol. 110, 876\u2013888 (2022).<\/p>\n Article<\/a>\u00a0 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).<\/p>\n Article<\/a>\u00a0 Negron-Juarez, R. Widespread windthrow in Southeast Asian tropical forests verified by satellite observations. Environ. Res. Commun. 8, 021003 (2026).<\/p>\n Article<\/a>\u00a0 Jackson, T. D. et al. The mechanical stability of the world\u2019s tallest broadleaf trees. Biotropica 53, 110\u2013120 (2021).<\/p>\n Article<\/a>\u00a0 de Lima, R. B. et al. Mapping the density of giant trees in the Amazon. New Phytol. 249, 152\u2013168 (2026).<\/p>\n Article<\/a>\u00a0 Fauset, S. et al. Hyperdominance in Amazonian forest carbon cycling. Nat. Commun. 6, 6857 (2015).<\/p>\n Article<\/a>\u00a0 Gatti, L. V. et al. Amazonia as a carbon source linked to deforestation and climate change. Nature 595, 388\u2013393 (2021).<\/p>\n Article<\/a>\u00a0 Ordway, E. M. et al. The PANGEA Scoping Study Final Report. ORNL DAAC https:\/\/doi.org\/10.3334\/ORNLDAAC\/2405<\/a> (2025).<\/p>\n Grossiord, C. et al. Plant responses to rising vapor pressure deficit. New Phytol. 226, 1550\u20131566 (2020).<\/p>\n Article<\/a>\u00a0 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\u20131249 (2024).<\/p>\n Article<\/a>\u00a0 Dubayah, R. O. et al. GEDI L3 Gridded Land Surface Metrics, version 1. ORNL DAAC https:\/\/doi.org\/10.3334\/ORNLDAAC\/1865<\/a> (2021).<\/p>\n Kellner, J. R., Armston, J. & Duncanson, L. Algorithm theoretical basis document for GEDI footprint aboveground biomass density. Earth Space Sci. 10, e2022EA002516 (2023).<\/p>\n Article<\/a>\u00a0 Gorgens, E. B. et al. The giant trees of the Amazon basin. Front. Ecol. Environ. 17, 373\u2013374 (2019).<\/p>\n Article<\/a>\u00a0 Hemp, A. et al. Africa\u2019s highest mountain harbours Africa\u2019s tallest trees. Biodivers. Conserv. 26, 103\u2013113 (2017).<\/p>\n Article<\/a>\u00a0 Potapov, P. et al. The last frontiers of wilderness: tracking loss of intact forest landscapes from 2000 to 2013. Sci. Adv. 3, e1600821 (2017).<\/p>\n Article<\/a>\u00a0 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\u2013247 (2018).<\/p>\n Article<\/a>\u00a0 Hansen, M. C. et al. Global land use extent and dispersion within natural land cover using Landsat data. Environ. Res. Lett. 17, 034050 (2022).<\/p>\n Article<\/a>\u00a0 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).<\/p>\n Article<\/a>\u00a0 Householder, J. E. et al. One sixth of Amazonian tree diversity is dependent on river floodplains. Nat. Ecol. Evol. 8, 901\u2013911 (2024).<\/p>\n Article<\/a>\u00a0 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\u2013298 (2016).<\/p>\n Article<\/a>\u00a0 Simard, M. et al. Mangrove canopy height globally related to precipitation, temperature and cyclone frequency. Nat. Geosci. 12, 40\u201345 (2019).<\/p>\n Article<\/a>\u00a0 Corlett, R. T. & Primack, R. B. Tropical Rain Forests: an Ecological and Biogeographical Comparison (Wiley-Blackwell, 2011).<\/p>\n 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\u2013920 (2014).<\/p>\n Article<\/a>\u00a0 Cuni-Sanchez, A. et al. High aboveground carbon stock of African tropical montane forests. Nature 596, 536\u2013542 (2021).<\/p>\n Article<\/a>\u00a0 Pascual, A. et al. Assessing the performance of NASA\u2019s 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).<\/p>\n Article<\/a>\u00a0 Avitabile, V. et al. An integrated pan-tropical biomass map using multiple reference datasets. Glob. Change Biol. 22, 1406\u20131420 (2016).<\/p>\n Article<\/a>\u00a0 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\u2013404 (2003).<\/p>\n Article<\/a>\u00a0 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\u2013278 (2009).<\/p>\n Article<\/a>\u00a0 Berzaghi, F. et al. Carbon stocks in central African forests enhanced by elephant disturbance. Nat. Geosci. 12, 725\u2013729 (2019).<\/p>\n Article<\/a>\u00a0 Sorokina, H. E. et al. East African megafauna influence on vegetation structure permeates from landscape to tree level scales. Ecol. Inform. 79, 102435 (2024).<\/p>\n Article<\/a>\u00a0 Magnabosco Marra, D. et al. Windthrows control biomass patterns and functional composition of Amazon forests. Glob. Change Biol. 24, 5867\u20135881 (2018).<\/p>\n Article<\/a>\u00a0 Nogueira, D. S. et al. Impacts of fire on forest biomass dynamics at the southern Amazon edge. Environ. Conserv. 46, 285\u2013292 (2019).<\/p>\n Article<\/a>\u00a0 Berenguer, E. et al. Tracking the impacts of El Ni\u00f1o drought and fire in human-modified Amazonian forests. Proc. Natl Acad. Sci. USA 118, e2019377118 (2021).<\/p>\n Article<\/a>\u00a0 Aguirre-Guti\u00e9rrez, J. et al. Long-term droughts may drive drier tropical forests towards increased functional, taxonomic and phylogenetic homogeneity. Nat. Commun. 11, 3346 (2020).<\/p>\n Article<\/a>\u00a0 Levis, C. et al. Persistent effects of pre-Columbian plant domestication on Amazonian forest composition. Science 355, 925\u2013931 (2017).<\/p>\n Article<\/a>\u00a0 Oliveira, E. A. et al. Legacy of Amazonian Dark Earth soils on forest structure and species composition. Glob. Ecol. Biogeogr. 29, 1458\u20131473 (2020).<\/p>\n Article<\/a>\u00a0 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\u20131978 (2005).<\/p>\n Article<\/a>\u00a0 Vicente-Serrano, S. M., Beguer\u00eda, S. & L\u00f3pez-Moreno, J. I. A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. J. Clim. 23, 1696\u20131718 (2010).<\/p>\n Article<\/a>\u00a0 Beguer\u00eda, S., Vicente Serrano, S. M., Reig-Gracia, F. & Latorre Garc\u00e9s, B. SPEIbase v.2.9 [Dataset]. DIGITAL.CSIC https:\/\/doi.org\/10.20350\/DIGITALCSIC\/15470<\/a> (2023).<\/p>\n Gebrechorkos, S. H. et al. Warming accelerates global drought severity. Nature 642, 628\u2013635 (2025).<\/p>\n Article<\/a>\u00a0 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).<\/p>\n Article<\/a>\u00a0 Arag\u00e3o, L. E. O. C. et al. Spatial patterns and fire response of recent Amazonian droughts. Geophys. Res. Lett. 34, L07701 (2007).<\/p>\n Article<\/a>\u00a0 Funk, C. et al. The climate hazards infrared precipitation with stations\u2013a new environmental record for monitoring extremes. Sci. Data 2, 150066 (2015).<\/p>\n Article<\/a>\u00a0 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\u20131676 (2005).<\/p>\n Article<\/a>\u00a0 Uriarte, M., Thompson, J. & Zimmerman, J. K. Hurricane Mar\u00eda tripled stem breaks and doubled tree mortality relative to other major storms. Nat. Commun. 10, 1362 (2019).<\/p>\n Article<\/a>\u00a0 Hengl, T. et al. SoilGrids250m: global gridded soil information based on machine learning. PLoS ONE\u00a012, e0169748 (2017).<\/p>\n Article<\/a>\u00a0 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\u00a08, e76296 (2013).<\/p>\n Article<\/a>\u00a0 Mascaro, J. et al. Controls over aboveground forest carbon density on Barro Colorado Island, Panama. Biogeosciences 8, 1615\u20131629 (2011).<\/p>\n Article<\/a>\u00a0 Jucker, T. et al. Topography shapes the structure, composition and function of tropical forest landscapes. Ecol. Lett. 21, 989\u20131000 (2018).<\/p>\n Article<\/a>\u00a0 Dinerstein, E. et al. An ecoregion-based approach to protecting half the terrestrial realm. Bioscience 67, 534\u2013545 (2017).<\/p>\n Article<\/a>\u00a0 Levin, S. A. The problem of pattern and scale in ecology: the Robert H. MacArthur Award lecture. Ecology 73, 1943\u20131967 (1992).<\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n