4 Works

Data from: Recommendations for assessing earthworm populations in Brazilian ecosystems

Herlon Nadolny, Alessandra Santos, Wilian Demetrio, Talita Ferreira, Lilianne Dos Santos Maia, Ana Caroline Conrado, Marie Bartz, Marilice Garrastazu, Elodie Da Silva, Dilmar Baretta, Amarildo Pasini, Fabiane Vezzani, José Paulo Sousa, Luis Cunha, Jerome Mathieu, Patrick Lavelle, Jörg Römbke & George Brown
Earthworms are often related to fertile soils and frequently used as environmental quality indicators. However, to optimize their use as bioindicators, their populations must be evaluated together with environmental and anthropogenic variables regulating earthworm communities. In this review we identify the earthworm, soil chemical, physical, environmental and management-related variables evaluated in 124 published studies that quantified earthworm abundance (>7300 samples) in 765 sites with different types of climate, soils, land use and management systems in...

Development and uncertainty assessment of pedotransfer functions for predicting water contents at specific pressure heads

Ali Mehmandoostkotlar, Quirijn De Jong Van Lier, Bo V Iversen, Alexandre Barros & Harry Vereecken
There has been much effort to improve the performance of pedotransfer functions (PTFs) using intelligent algorithms, but the issue of covariate shift, i.e. different probability distributions in training and testing datasets, and its impact on prediction uncertainty of PTFs has been rarely addressed. The common practice in PTF generation is to randomly separate the dataset in training and testing subsets, and outcomes of this random selection may be different if the process is subject to...

Surveys of crocodilians in the hydroelectric dam, Brazilian Amazonia

Zilca Campos, Fábio Muniz, Guilherme Mourão & William Magnusson
We counts caimans in the Madeira River, before (2010-2011) and after (2012-2014, 2016-2019) hydroelectric dam.

Data from: Evolutionary diversity in tropical tree communities peaks at intermediate precipitation

Danilo M. Neves, Kyle G. Dexter, Timothy R. Baker, Fernanda Coelho De Souza, Ary T. Oliveira-Filho, Luciano P. Queiroz, Haroldo C. Lima, Marcelo F. Simon, Gwilym P. Lewis, Ricardo A. Segovia, Luzmila Arroyo, Carlos Reynel, José L. Marcelo-Peña, Isau Huamantupa-Chuquimaco, Daniel Villarroel, G. Alexander Parada, Aniceto Daza, Reynaldo Linares-Palomino, Leandro V. Ferreira, Rafael P. Salomão, Geovane S. Siqueira, Marcelo T. Nascimento, Claudio N. Fraga & R. Toby Pennington
Global patterns of species and evolutionary diversity in plants are primarily determined by a temperature gradient, but precipitation gradients may be more important within the tropics, where plant species richness is positively associated with the amount of rainfall. The impact of precipitation on the distribution of evolutionary diversity, however, is largely unexplored. Here we detail how evolutionary diversity varies along precipitation gradients by bringing together a comprehensive database on the composition of angiosperm tree communities...

Registration Year

  • 2019

Resource Types

  • Dataset


  • Brazilian Agricultural Research Corporation
  • State University of Norte Fluminense
  • Royal Botanic Gardens
  • Museu Paraense Emílio Goeldi
  • Londrina State University
  • Universidade Federal de Minas Gerais
  • Aarhus University
  • Institut de Recherche pour le Développement
  • University of Edinburgh
  • Gabriel René Moreno Autonomous University