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Evolutionary Diversity Is Associated With Wood Productivity in Amazonian Forests
Nature Ecology & Evolution
  • Fernanda Coelho de Souza, University of Leeds - United Kingdom
  • Kyle G. Dexter, University of Edinburgh - United Kingdom; Royal Botanic Garden Edinburgh - United Kingdom
  • Oliver L. Phillips, University of Leeds - United Kingdom
  • R. Toby Pennington, Royal Botanic Garden Edinburgh - United Kingdom; University of Exeter - United Kingdom
  • Danilo Neves, Federal University of Minas Gerais - Brazil
  • Martin J. P. Sullivan, University of Leeds - United Kingdom
  • Esteban Alvarez-Davila, Universidad Nacional Abierta y a Distancia - Colombia
  • Atila Alves, Instituto Nacional de Pesquisas da Amazônia - Brazil
  • Ieda Amaral, Instituto Nacional de Pesquisas da Amazônia - Brazil
  • Ana Andrade, Instituto Nacional de Pesquisas da Amazônia - Brazil
  • Luiz E. O. C. Aragao, University of Exeter - United Kingdom; Brazilian National Institute for Space Research
  • Alejandro Araujo-Murakami, Universidad Autonoma Gabriel Rene Moreno - Santa Cruz, Bolivia
  • Eric Arets, Wageningen University - The Netherlands
  • Luzmilla Arroyo, Universidad Autonoma Gabriel Rene Moreno - Santa Cruz, Bolivia
  • Gerardo A. Aymard C., UNELLEZ-Guanare - Venezuela
  • Olaf Banki, Naturalis Biodiversity Center - The Netherlands
  • Christopher Baraloto, Florida International University
  • Jorcely Barroso, Universidade Federal do Acre - Brazil
  • Rene G. A. Boot, Tropenbos International - Wageningen, The Netherlands
  • Roel J. W. Brienen, University of Leeds - United Kingdom
  • Foster Brown, Woods Hole Research Center
  • Jose Luis Camargo, Instituto Nacional de Pesquisas da Amazônia - Brazil
  • Wendeson Castro, Universidade Federal do Acre - Brazil
  • Jerome Chave, Universite Paul Sabatier - Toulouse, France
  • Alvaro Cogollo, Jardín Botánico de Medellín Joaquín Antonio Uribe - Colombia
  • James A. Comiskey, United States National Park Service; Smithsonian Institution
  • Fernando Cornejo Valverde, Proyecto Castana - Madre de Dios, Peru
  • Antonio Lola da Costa, Universidade Federal do Para - Brazil
  • Plinio Barbosa de Camargo, Universidade de Sao Paulo - Brazil
  • Anthony Di Fiore, University of Texas at Austin
  • Ted R. Feldpausch, University of Exeter - United Kingdom
  • David Galbraith, University of Leeds - United Kingdom
  • Manuel Gloor, University of Leeds - United Kingdom
  • Rosa C. Goodman, Swedish University of Agricultural Sciences
  • Martin Gilpin, University of Leeds - United Kingdom
  • Rafael Herrera, Centro de Ecologia IVIC - Venezuela; University of Vienna - Austria
  • Niro Higuchi, Instituto Nacional de Pesquisas da Amazônia (INPA) - Manaus, Brazil
  • Euridice N. Honorio Coronado, Instituto de Investigaciones de la Amazonia Peruana - Iquitos, Peru
  • Eliana Jimenez-Rojas, Universidad Nacional de Colombia
  • Timothy Killeen, AGTECA - Santa Cruz, Bolivia
  • Susan Laurance, James Cook University - Australia
  • William Laurance, James Cook University - Australia
  • Gabriela Lopez-Gonzalez, University of Leeds - United Kingdom
  • Thomas E. Lovejoy, George Mason University
  • Yadvinder Malhi, University of Oxford - United Kingdom
  • Beatriz Marimon, Universidade do Estado de Mato Grosso - Brazil
  • Ben Hur Marimon, Jr., Universidad do Estado de Mato Grosso - Brazil
  • Casimiro Mendoza, Universidad Mayor de San Simón - Bolivia
  • Abel Monteagudo-Mendoza, Jardín Botánico de Missouri - Peru
  • David Neill, Universidad Estatal Amazonica - Puyo, Ecuador
  • Percy Nunez Vargas, Universidad Nacional de San Antonio Abad del Cusco - Peru
  • Maria C. Penuela-Mora, Universidad Regional Amazonica IKIAM - Ecuador
  • Georgia C. Pickavance, University of Leeds - United Kingdom
  • John J. Pipoly, III, Broward County Parks & Recreation Division
  • Nigel C. A. Pitman, Duke University
  • Lourens Poorter, Wageningen University - Netherlands
  • Adriana Prieto, Universidad Nacional de Colombia - Bogota
  • Freddy Ramirez, Universidad Nacional de la Amazonia Peruana - Peru
  • Anand Roopsind, Boise State University
  • Agustin Rudas, Universidad Nacional de Colombia - Bogota
  • Rafael P. Salomao, Museu Paraense Emilio Goeldi - Belem, Brazil; Universidade Federal Rural da Amazônia - Brazil
  • Natalina Silva, Universidade Federal Rural da Amazônia - Brazil
  • Marcos Silveira, Instituto Federal do Acre - Rio Branco, Brazil
  • James Singh, Guyana Forestry Commission
  • Juliana Stropp, Federal University of Alagoas Maceio - Brazil
  • Hans ter Steege, Naturalis Biodiversity Center - Netherlands; Vrije Universiteit Amsterdam - Netherlands
  • John Terborgh, University of Florida; James Cook University - Australia
  • Raquel Thomas-Caesar, Iwokrama International Centre for Rainforest Conservation and Development - Guyana
  • Ricardo K. Umetsu, Universidade do Estado de Mato Grosso - Nova Xavantina, Brazil
  • Rodolfo V. Vasquez, Jardin Botanico de Missouri - Oxapampa, Peru
  • Ima Célia-Vieira, Museu Paraense Emilio Goeldi - Brazil
  • Simone A. Vieira, Universidade Estadual de Campinas - Brazil
  • Vincent Vos, Centro de Investigación y Promoción del Campesinado - La Paz, Bolivia; Universidad Autónoma del Beni José Ballivián - Riberalta, Bolivia
  • Roderick J. Zagt, Tropenbos International - Wageningen, The Netherlands
  • Timothy R. Baker, University of Leeds - United Kingdom
ORCID
0000-0002-7977-9496
ResearcherID
C-6533-2012
Document Type
Article
Publication Date
11-11-2019
Abstract

Higher levels of taxonomic and evolutionary diversity are expected to maximize ecosystem function, yet their relative importance in driving variation in ecosystem function at large scales in diverse forests is unknown. Using 90 inventory plots across intact, lowland, terra firme, Amazonian forests and a new phylogeny including 526 angiosperm genera, we investigated the association between taxonomic and evolutionary metrics of diversity and two key measures of ecosystem function: aboveground wood productivity and biomass storage. While taxonomic and phylogenetic diversity were not important predictors of variation in biomass, both emerged as independent predictors of wood productivity. Amazon forests that contain greater evolutionary diversity and a higher proportion of rare species have higher productivity. While climatic and edaphic variables are together the strongest predictors of productivity, our results show that the evolutionary diversity of tree species in diverse forest stands also influences productivity. As our models accounted for wood density and tree size, they also suggest that additional, unstudied, evolutionarily correlated traits have significant effects on ecosystem function in tropical forests. Overall, our pan-Amazonian analysis shows that greater phylogenetic diversity translates into higher levels of ecosystem function: tropical forest communities with more distantly related taxa have greater wood productivity.

DOI
10.1038/s41559-019-1007-y
Comments

©The Author(s), under exclusive licence to Springer Nature Limited 2019

Additional Comments
NERC grant #s: NE/I028122/1, NE/F005806/1, NE/D005590/1, NE/I028122/1, NE/N012542/1; European Union's Seventh Framework Programme project #s: 283080, 282664
Disciplines
Citation Information
Fernanda Coelho de Souza, Kyle G. Dexter, Oliver L. Phillips, R. Toby Pennington, et al.. "Evolutionary Diversity Is Associated With Wood Productivity in Amazonian Forests" Nature Ecology & Evolution Vol. 3 (2019) p. 1754 - 1761 ISSN: 2397-334X
Available at: http://works.bepress.com/john-pipoly/35/