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Resource availability and disturbance shape maximum tree height across the Amazon

  • Eric B Gorgens
  • , Matheus H Nunes
  • , Tobias Jackson
  • , David Coomes
  • , Michael Keller
  • , Cristiano R Reis
  • , Ruben Valbuena
  • , Jacqueline Rosette
  • , Danilo R A de Almeida
  • , Bruno Gimenez
  • , Roberta Cantinho
  • , Alline Z Motta
  • , Mauro Assis
  • , Francisca R de Souza Pereira
  • , Gustavo Spanner
  • , Niro Higuchi
  • , Jean Pierre Ometto
  • Departamento de Engenharia Florestal
  • University of Helsinki
  • Cambridge University
  • United States Forest Service
  • Universidade de São Paulo
  • Smithsonian Tropical Research Institute
  • Universidade de Brasília
  • Instituto Nacional de Pesquisas Espaciais
  • Instituto Nacional de Pesquisas da Amazônia
  • Swansea University

Research output: Contribution to journalArticlepeer-review

Abstract

Tall trees are key drivers of ecosystem processes in tropical forest, but the controls on the distribution of the very tallest trees remain poorly understood. The recent discovery of grove of giant trees over 80 meters tall in the Amazon forest requires a reevaluation of current thinking. We used high-resolution airborne laser surveys to measure canopy height across 282,750 ha of old-growth and second-growth forests randomly sampling the entire Brazilian Amazon. We investigated how resources and disturbances shape the maximum height distribution across the Brazilian Amazon through the relations between the occurrence of giant trees and environmental factors. Common drivers of height development are fundamentally different from those influencing the occurrence of giant trees. We found that changes in wind and light availability drive giant tree distribution as much as precipitation and temperature, together shaping the forest structure of the Brazilian Amazon. The location of giant trees should be carefully considered by policymakers when identifying important hot spots for the conservation of biodiversity in the Amazon.

Original languageEnglish
Pages (from-to)177-189
Number of pages13
JournalGlobal Change Biology
Volume27
Issue number1
Early online date28 Oct 2020
DOIs
Publication statusPublished - Jan 2021

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