2 Works

Data from 'Water table depth modulates productivity and biomass across Amazonian forests'

Thaiane R. Sousa, Juliana Schietti, Thaise Emílio, Rafael Herrera Fernández, Hans ter Steege, Carolina V Castilho, Adriane Esquivel Muelbert, Timothy Baker, Aline Pontes-Lopes, Camila V. J. Silva, Juliana M. Silveira, Géraldine Derroire, Wendeson Castro, Abel Monteagudo Mendoza, Ademir Ruschel, Agustín Rudas, Adriano José Nogueira Lima, Agustín Rudas, Alejandro Araujo-Murakami, Ana Andrade, Anand Roopsind, Angelo Gilberto Manzatto, Anthony Di Fiore, Armando Torres-Lezama & Aurélie Dourdain
Excel published via ForestPlots.net
No citations were reported. No usage information was reported.
https://doi.org/10.5521/forestplots.net/2022_2 Cite

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
Dataset published via Dryad
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...
1 citation
No usage information was reported.
https://doi.org/10.5061/dryad.qnk98sfkg Cite

Registration Year

  • 2022
    2

Resource Types

  • Dataset
    2

Affiliations

  • The University of Texas at Austin
    2
  • Gabriel René Moreno Autonomous University
    2
  • National Institute of Amazonian Research
    2
  • University of Leeds
    2
  • Federal University of Rondônia
    2
  • VU University Amsterdam
    1
  • Sao Paulo State University
    1
  • Universidade do Oeste Paulista
    1
  • University of Michigan-Ann Arbor
    1
  • Higher University of San Andrés
    1

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