Dataset: Local hydrological conditions influence tree diversity and composition across the Amazon basin

Manuel J. Marca-Zevallos, Gabriel M. Moulatlet, Thaiane R. Sousa, Juliana Schietti, Luiz De Souza Coelho, José Ferreira Ramos, Diogenes De Andrade Lima Filho, Iêda Leão Amaral, Francisca Dionízia De Almeida Matos, Lorena M. Rincón, Juan David Cardenas Revilla, Marcelo Petratti Pansonato, Rogerio Gribel, Edelcilio Marques Barbosa, Ires Paula De Andrade Miranda, Luiz Carlos De Matos Bonates, Juan Ernesto Guevara, Rafael P. Salomão, Leandro Valle Ferreira, Dário Dantas Do Amaral, Nigel C.A. Pitman, Corine Vriesendorp, Tim R. Baker, Roel Brienen, Marcelo De Jesus Veiga Carim … & Flávia R.C. Costa
Tree diversity and composition in Amazonia are known to be strongly determined by the water supplied by precipitation. Nevertheless, within the same climatic regime, water availability is modulated by local topography and soil characteristics (hereafter referred to as local hydrological conditions), varying from saturated and poorly drained to well-drained and potentially dry areas. While these conditions may be expected to influence species distribution, the impacts of local hydrological conditions on tree diversity and composition remain...

Registration Year

  • 2022
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Resource Types

  • Dataset
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Affiliations

  • VU University Amsterdam
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  • Sao Paulo State University
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  • Universidade do Oeste Paulista
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  • The University of Texas at Austin
    1
  • University of Michigan-Ann Arbor
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  • Higher University of San Andrés
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  • Field Museum of Natural History
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  • Royal Botanic Gardens
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  • Museu Paraense Emílio Goeldi
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  • Central University of Ecuador
    1