3 Works

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...

A new approach to map landscape variation in forest restoration success in tropical and temperate forest biomes

Renato Crouzeilles, Felipe S. M. Barros, Paulo G. Molin, Mariana S. Ferreira, André B. Junqueira, Robin L. Chazdon, David B. Lindenmayer, Julio R. C. Tymus, Bernardo B. N. Strassburg & Pedro H. S. Brancalion
A high level of variation of biodiversity recovery within a landscape during forest restoration presents obstacles to ensure large‐scale, cost‐effective and long‐lasting ecological restoration. There is an urgent need to predict landscape variation in forest restoration success at a global scale. We conducted a meta‐analysis comprising 135 study landscapes to predict and map landscape variation in forest restoration success in tropical and temperate forest biomes. Our analysis was based on the amount of forest cover...

FragSAD: A database of diversity and species abundance distributions from habitat fragments

Jonathan M. Chase, Mario Liebergesell, Alban Sagouis, Felix May, Shane A. Blowes, Åke Berg, Enrico Bernard, Berry J. Brosi, Marc W. Cadotte, Luis Cayuela, Adriano G. Chiarello, Jean-François Cosson, Will Cresswell, Filibus Danjuma Dami, Jens Dauber, Christopher R. Dickman, Raphael K. Didham, David P. Edwards, Fabio Z. Farneda, Yoni Gavish, Thiago Gonçalves-Souza, Demetrio Luis Guadagnin, Mickaël Henry, Adrià López-Baucells, Heike Kappes … & Yaron Ziv
Habitat destruction is the single greatest anthropogenic threat to biodiversity. Decades of research on this issue have led to the accumulation of hundreds of data sets comparing species assemblages in larger, intact, habitats to smaller, more fragmented, habitats. Despite this, little synthesis or consensus has been achieved, primarily because of non‐standardized sampling methodology and analyses of notoriously scale‐dependent response variables (i.e., species richness). To be able to compare and contrast the results of habitat fragmentation...

Registration Year

  • 2022
    1
  • 2019
    2

Resource Types

  • Dataset
    3

Affiliations

  • Universidade do Oeste Paulista
    3
  • Federal University of São Carlos
    2
  • University of Leeds
    2
  • Oeko Institut
    1
  • VU University Amsterdam
    1
  • Sao Paulo State University
    1
  • University of Jos
    1
  • The Nature Conservancy
    1
  • The University of Texas at Austin
    1
  • University of Michigan-Ann Arbor
    1