<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Sullivan MJP</submitter><funding>Gordon and Betty Moore Foundation (Gordon E. and Betty I. Moore Foundation)</funding><funding>European Research Council</funding><funding>RCUK | Natural Environment Research Council (NERC)</funding><funding>Royal Society</funding><pagination>2351</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11893774</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>16(1)</volume><pubmed_abstract>Wood density is a critical control on tree biomass, so poor understanding of its spatial variation can lead to large and systematic errors in forest biomass estimates and carbon maps. The need to understand how and why wood density varies is especially critical in tropical America where forests have exceptional species diversity and spatial turnover in composition. As tree identity and forest composition are challenging to estimate remotely, ground surveys are essential to know the wood density of trees, whether measured directly or inferred from their identity. 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The need to understand how and why wood density varies is especially critical in tropical America where forests have exceptional species diversity and spatial turnover in composition. As tree identity and forest composition are challenging to estimate remotely, ground surveys are essential to know the wood density of trees, whether measured directly or inferred from their identity. Here, we assemble an extensive dataset of variation in wood density across the most forested and tree-diverse continent, examine how it relates to spatial and environmental variables, and use these relationships to predict spatial </description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Mar</publication><modification>2025-04-20T01:49:04.886Z</modification><creation>2025-04-20T01:49:04.886Z</creation></dates><accession>S-EPMC11893774</accession><cross_references><pubmed>40064856</pubmed><doi>10.1038/s41467-025-56175-4</doi></cross_references></HashMap>