Biodiversity Data Journal (Jan 2024)

Soil macrofauna communities in Brazilian land-use systems

  • George Brown,
  • Wilian Demetrio,
  • Quentin Gabriac,
  • Amarildo Pasini,
  • Vanesca Korasaki,
  • Lenita Oliveira,
  • Julio dos Santos,
  • Eleno Torres,
  • Paulo Galerani,
  • Dionisio Gazziero,
  • Norton Benito,
  • Daiane Nunes,
  • Alessandra Santos,
  • Talita Ferreira,
  • Herlon Nadolny,
  • Marie Bartz,
  • Wagner Maschio,
  • Rafaela Dudas,
  • Mauricio Zagatto,
  • Cintia Niva,
  • Lina Clasen,
  • Klaus Sautter,
  • Luis Froufe,
  • Carlos Eduardo Seoane,
  • Aníbal de Moraes,
  • Samuel James,
  • Odair Alberton,
  • Osvaldino Brandão Júnior,
  • Odilon Saraiva,
  • Antonio Garcia,
  • Elma Oliveira,
  • Raul César,
  • Beatriz Corrêa-Ferreira,
  • Lilianne Bruz,
  • Elodie Silva,
  • Gilherme Cardoso,
  • Patrick Lavelle,
  • Elena Velásquez,
  • Marcus Cremonesi,
  • Lucília Parron,
  • Amilton Baggio,
  • Edinelson Neves,
  • Mariangela Hungria,
  • Thiago Campos,
  • Vagner da Silva,
  • Carlos Reissmann,
  • Ana Conrado,
  • Jean-Pierre Bouillet,
  • José Gonçalves,
  • Carolina Brandani,
  • Ricardo Viani,
  • Ranieri Paula,
  • Jean-Paul Laclau,
  • Clara Peña-Venegas,
  • Carlos Peres,
  • Thibaud Decaëns,
  • Benjamin Pey,
  • Nico Eisenhauer,
  • Miguel Cooper,
  • Jérôme Mathieu

DOI
https://doi.org/10.3897/BDJ.12.e115000
Journal volume & issue
Vol. 12
pp. 1 – 45

Abstract

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Soil animal communities include more than 40 higher-order taxa, representing over 23% of all described species. These animals have a wide range of feeding sources and contribute to several important soil functions and ecosystem services. Although many studies have assessed macroinvertebrate communities in Brazil, few of them have been published in journals and even fewer have made the data openly available for consultation and further use. As part of ongoing efforts to synthesise the global soil macrofauna communities and to increase the amount of openly-accessible data in GBIF and other repositories related to soil biodiversity, the present paper provides links to 29 soil macroinvertebrate datasets covering 42 soil fauna taxa, collected in various land-use systems in Brazil. A total of 83,085 georeferenced occurrences of these taxa are presented, based on quantitative estimates performed using a standardised sampling method commonly adopted worldwide to collect soil macrofauna populations, i.e. the TSBF (Tropical Soil Biology and Fertility Programme) protocol. This consists of digging soil monoliths of 25 x 25 cm area, with handsorting of the macroinvertebrates visible to the naked eye from the surface litter and from within the soil, typically in the upper 0-20 cm layer (but sometimes shallower, i.e. top 0-10 cm or deeper to 0-40 cm, depending on the site). The land-use systems included anthropogenic sites managed with agricultural systems (e.g. pastures, annual and perennial crops, agroforestry), as well as planted forests and native vegetation located mostly in the southern Brazilian State of Paraná (96 sites), with a few additional sites in the neighbouring states of São Paulo (21 sites) and Santa Catarina (five sites). Important metadata on soil properties, particularly soil chemical parameters (mainly pH, C, P, Ca, K, Mg, Al contents, exchangeable acidity, Cation Exchange Capacity, Base Saturation and, infrequently, total N), particle size distribution (mainly % sand, silt and clay) and, infrequently, soil moisture and bulk density, as well as on human management practices (land use and vegetation cover) are provided. These data will be particularly useful for those interested in estimating land-use change impacts on soil biodiversity and its implications for below-ground foodwebs, ecosystem functioning and ecosystem service delivery.Quantitative estimates are provided for 42 soil animal taxa, for two biodiversity hotspots: the Brazilian Atlantic Forest and Cerrado biomes. Data are provided at the individual monolith level, representing sampling events ranging from February 2001 up to September 2016 in 122 sampling sites and over 1800 samples, for a total of 83,085 ocurrences.

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