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Evolutionary diversity is associated with wood productivity in Amazonian forests.
Coelho de Souza, Fernanda; Dexter, Kyle G; Phillips, Oliver L; Pennington, R Toby; Neves, Danilo; Sullivan, Martin J P; Alvarez-Davila, Esteban; Alves, Átila; Amaral, Ieda; Andrade, Ana; Aragao, Luis E O C; Araujo-Murakami, Alejandro; Arets, Eric J M M; Arroyo, Luzmilla; Aymard C, Gerardo A; Bánki, Olaf; Baraloto, Christopher; Barroso, Jorcely G; Boot, Rene G A; Brienen, Roel J W; Brown, Foster; Camargo, José Luís C; Castro, Wendeson; Chave, Jerome; Cogollo, Alvaro; Comiskey, James A; Cornejo-Valverde, Fernando; da Costa, Antonio Lola; de Camargo, Plínio B; Di Fiore, Anthony; Feldpausch, Ted R; Galbraith, David R; Gloor, Emanuel; Goodman, Rosa C; Gilpin, Martin; Herrera, Rafael; Higuchi, Niro; Honorio Coronado, Eurídice N; Jimenez-Rojas, Eliana; Killeen, Timothy J; Laurance, Susan; Laurance, William F; Lopez-Gonzalez, Gabriela; Lovejoy, Thomas E; Malhi, Yadvinder; Marimon, Beatriz S; Marimon-Junior, Ben Hur; Mendoza, Casimiro; Monteagudo-Mendoza, Abel; Neill, David A.
Afiliação
  • Coelho de Souza F; School of Geography, University of Leeds, Leeds, UK. fecoelhos@gmail.com.
  • Dexter KG; School of Geosciences, University of Edinburgh, Edinburgh, UK.
  • Phillips OL; Royal Botanic Garden Edinburgh, Edinburgh, UK.
  • Pennington RT; School of Geography, University of Leeds, Leeds, UK.
  • Neves D; Royal Botanic Garden Edinburgh, Edinburgh, UK.
  • Sullivan MJP; Geography Department, College of Life and Environmental Sciences, University of Exeter, Exeter, UK.
  • Alvarez-Davila E; Department of Botany, Federal University of Minas Gerais, Belo Horizonte, Brazil.
  • Alves Á; School of Geography, University of Leeds, Leeds, UK.
  • Amaral I; Escuela de Ciencias Agropecuarias y Ambientales, Universidad Nacional Abierta y a Distancia, Sede José Celestino Mutis, Bogotá, Colombia.
  • Andrade A; Projeto TEAM-Manaus, Instituto Nacional de Pesquisas da Amazônia, Manaus, Brazil.
  • Aragao LEOC; Projeto TEAM-Manaus, Instituto Nacional de Pesquisas da Amazônia, Manaus, Brazil.
  • Araujo-Murakami A; Biological Dynamics of Forest Fragment Project, INPA and STRI, Manaus, Brazil.
  • Arets EJMM; Geography Department, College of Life and Environmental Sciences, University of Exeter, Exeter, UK.
  • Arroyo L; National Institute for Space Research, São José dos Campos, Brazil.
  • Aymard C GA; Museo de Historia Natural Noel Kempff Mercado, Universidad Autonoma Gabriel Rene Moreno, Santa Cruz, Bolivia.
  • Bánki O; Wageningen Environmental Research, Wageningen University and Research, Wageningen, the Netherlands.
  • Baraloto C; Museo de Historia Natural Noel Kempff Mercado, Universidad Autonoma Gabriel Rene Moreno, Santa Cruz, Bolivia.
  • Barroso JG; UNELLEZ-Guanare, Programa del Agro y del Mar, Herbario Universitario PORT, Mesa de Cavacas, Venezuela.
  • Boot RGA; Naturalis Biodiversity Center, Leiden, the Netherlands.
  • Brienen RJW; International Center for Tropical Botany, Department of Biological Sciences, Florida International University, Miami, FL, USA.
  • Brown F; Universidade Federal do Acre, Rio Branco, Brazil.
  • Camargo JLC; Tropenbos International, Wageningen, the Netherlands.
  • Castro W; School of Geography, University of Leeds, Leeds, UK.
  • Chave J; Woods Hole Research Center, Boston, MA, USA.
  • Cogollo A; Biological Dynamics of Forest Fragment Project, INPA and STRI, Manaus, Brazil.
  • Comiskey JA; Programa de Pós-Graduação em Ecologia e Manejo de Recursos Naturais, Universidade Federal do Acre, Rio Branco, Brazil.
  • Cornejo-Valverde F; Laboratoire Evolution et Diversité Biologique, Université Toulouse III Paul Sabatier, Toulouse, France.
  • da Costa AL; Jardín Botánico de Medellín Joaquín Antonio Uribe, Medellin, Colombia.
  • de Camargo PB; National Park Service, Fredericksburg, VA, USA.
  • Di Fiore A; Smithsonian Institution, Washington DC, USA.
  • Feldpausch TR; Proyecto Castaña, Madre de Dios, Peru.
  • Galbraith DR; Centro de Geociencias, Universidade Federal do Para, Belem, Brazil.
  • Gloor E; Centro de Energia Nuclear na Agricultura, Universidade de São Paulo, São Paulo, Brazil.
  • Goodman RC; Department of Anthropology, University of Texas at Austin, Austin, TX, USA.
  • Gilpin M; Geography Department, College of Life and Environmental Sciences, University of Exeter, Exeter, UK.
  • Herrera R; School of Geography, University of Leeds, Leeds, UK.
  • Higuchi N; School of Geography, University of Leeds, Leeds, UK.
  • Honorio Coronado EN; Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden.
  • Jimenez-Rojas E; School of Geography, University of Leeds, Leeds, UK.
  • Killeen TJ; Centro de Ecología, IVIC, Caracas, Venezuela.
  • Laurance S; Institut für Geographie und Regionalforschung, Univerity of Vienna, Vienna, Austria.
  • Laurance WF; Instituto Nacional de Pesquisas da Amazônia, Manaus, Brasil.
  • Lopez-Gonzalez G; Instituto de Investigaciones de la Amazonia Peruana, Iquitos, Peru.
  • Lovejoy TE; Universidad Nacional de Colombia, Bogotá, Colombia.
  • Malhi Y; GTECA-Amazonica, Santa Cruz, Bolivia.
  • Marimon BS; Centre for Tropical Environmental and Sustainability Science and College of Science and Engineering, James Cook University, Cairns, Queensland, Australia.
  • Marimon-Junior BH; Centre for Tropical Environmental and Sustainability Science and College of Science and Engineering, James Cook University, Cairns, Queensland, Australia.
  • Mendoza C; School of Geography, University of Leeds, Leeds, UK.
  • Monteagudo-Mendoza A; Environmental Science and Policy Department, George Mason University, Washington DC, USA.
  • Neill DA; Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK.
Nat Ecol Evol ; 3(12): 1754-1761, 2019 12.
Article em En | MEDLINE | ID: mdl-31712699
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Madeira / Ecossistema Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Madeira / Ecossistema Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article