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Yet, their density and spatial distribution remain poorly quantified, especially in remote Amazonian regions, limiting our understanding of their ecological roles and contribution to forest\u2013climate interactions.<\/jats:p>\n                      <\/jats:list-item>\n                      <jats:list-item>\n                        <jats:p>We combined airborne LiDAR data from 900 transects across the Brazilian Amazon with environmental predictors to model tall\u2010tree density. Spatial extrapolations allowed us to generate regional distribution estimates and assess associations with climate, topography, and disturbance regimes.<\/jats:p>\n                      <\/jats:list-item>\n                      <jats:list-item>\n                        <jats:p>\n                          Our model predicts that tall trees are unevenly distributed, with\n                          <jats:italic>c.<\/jats:italic>\n                          14% of the estimated density concentrated in\n                          <jats:italic>c.<\/jats:italic>\n                          1% of the Amazon and\n                          <jats:italic>c.<\/jats:italic>\n                          50% within\n                          <jats:italic>c.<\/jats:italic>\n                          11%. The highest densities occur in Roraima and the Guiana Shield provinces, where water availability is high and lightning or storm incidence is low. Modeled density strongly correlates with aboveground biomass, highlighting the disproportionate contribution of tall trees to carbon stocks. We estimate\n                          <jats:italic>c.<\/jats:italic>\n                          55.5\u2009million tall trees across the Brazilian Amazon.\n                        <\/jats:p>\n                      <\/jats:list-item>\n                      <jats:list-item>\n                        <jats:p>These findings demonstrate that tall\u2010tree distribution is a crucial but underused predictor for biomass models. Understanding their ecological and spatial dynamics is vital for forest conservation and climate\u2010resilience strategies under increasing anthropogenic pressures.<\/jats:p>\n                      <\/jats:list-item>\n                    <\/jats:list>\n                  <\/jats:p>","DOI":"10.1111\/nph.70634","type":"journal-article","created":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T11:49:37Z","timestamp":1760442577000},"page":"152-168","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Mapping the density of giant trees in the Amazon"],"prefix":"10.1111","volume":"249","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5915-4045","authenticated-orcid":false,"given":"Robson Borges","family":"de Lima","sequence":"first","affiliation":[{"name":"Laborat\u00f3rio de Manejo Florestal Universidade do Estado do Amap\u00e1  68901\u2010262 Macap\u00e1 AP Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1018-3640","authenticated-orcid":false,"given":"Diego Armando Silva","family":"da Silva","sequence":"additional","affiliation":[{"name":"Instituto Federal de Educa\u00e7\u00e3o Ci\u00eancia e Tecnologia do Amap\u00e1  68.920\u2010000 Laranjal do Jari AP Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9979-6456","authenticated-orcid":false,"given":"Matheus Henrique","family":"Nunes","sequence":"additional","affiliation":[{"name":"Department of Geographical Sciences University of Maryland  College Park MD 20742 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1618-9077","authenticated-orcid":false,"given":"Paulo R. de Lima","family":"Bittencourt","sequence":"additional","affiliation":[{"name":"School of Earth and Environment Sciences Cardiff University  CF10 3AT Cardiff UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2752-6195","authenticated-orcid":false,"given":"Peter","family":"Groenendyk","sequence":"additional","affiliation":[{"name":"Department of Plant Biology Institute of Biology, University of Campinas  PO Box 6109 13083\u2010970 Campinas SP Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5158-7866","authenticated-orcid":false,"given":"Cinthia Pereira","family":"de Oliveira","sequence":"additional","affiliation":[{"name":"Laborat\u00f3rio de Manejo Florestal Universidade do Estado do Amap\u00e1  68901\u2010262 Macap\u00e1 AP Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7011-0892","authenticated-orcid":false,"given":"Daniela","family":"Granato\u2010Souza","sequence":"additional","affiliation":[{"name":"Department of Natural Resources and Environmental Sciences College of Agricultural Alabama A &amp; 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