George Brown‡§|, Wilian C Demetrio¶, Quentin Gabriac#, Amarildo Pasini¤, Vanesca Korasaki«, Lenita J. Oliveira», Julio C.F. dos Santos», Eleno Torres», Paulo R. Galerani˄, Dionisio L.P. Gazziero», Norton P. Benito˅, Daiane H. Nunes¦, Alessandra Santosˀ, Talita Ferreiraˀ, Herlon S. Nadolnyˀ, Marie L.C. Bartzˁ, Wagner Maschio§, Rafaela T. Dudasˀ, Mauricio R.G. Zagatto₵, Cintia C. Nivaℓ, Lina A. Clasen₰, Klaus D. Sautter₱, Luis C.M. Froufe§, Carlos Eduardo S. Seoane§, Aníbal de Moraesˀ, Samuel James₳, Odair Alberton₴, Osvaldino Brandão Júnior₣, Odilon Saraiva», Antonio Garcia», Elma Oliveiraˀ, Raul M. Césarˀ, Beatriz S. Corrêa-Ferreira», Lilianne S.M. Bruzˀ, Elodie da Silva§, Gilherme B.X. Cardosoˀ, Patrick Lavelle₮, Elena Velásquez₦, Marcus Cremonesi₭, Lucília M. Parron§, Amilton J. Baggio§, Edinelson Neves§, Mariangela Hungria», Thiago A. Campos¤, Vagner L. da Silva₲, Carlos B. Reissmannˀ, Ana C. Conradoˀ, Jean-Pierre D. Bouillet‽, José L.M. Gonçalves¶, Carolina B. Brandani₩, Ricardo A.G. Viani₸, Ranieri R. Paula‡‡, Jean-Paul Laclau‽, Clara P Peña-Venegas§§, Carlos Peres||, Thibaud Decaëns¶¶, Benjamin Pey##, Nico Eisenhauer¤¤««, Miguel Cooper¶, Jérôme Mathieu»»Corresponding author: George Brown ( minhocassu@gmail.com ) © 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. This is an open access preprint distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Citation:
Brown G, Demetrio WC, Gabriac Q, Pasini A, Korasaki V, Oliveira LJ, dos Santos JC.F, Torres E, Galerani PR, Gazziero DL.P, Benito NP, Nunes DH, Santos A, Ferreira T, Nadolny HS, Bartz ML.C, Maschio W, Dudas RT, Zagatto MR.G, Niva CC, Clasen LA, Sautter KD, Froufe LC.M, Seoane CES, de Moraes A, James S, Alberton O, Brandão Júnior O, Saraiva O, Garcia A, Oliveira E, César RM, Corrêa-Ferreira BS, Bruz LS.M, Silva E, Cardoso GB.X, Lavelle P, Velásquez E, Cremonesi M, Parron LM, Baggio AJ, Neves E, Hungria M, Campos TA, da Silva VL, Reissmann CB, Conrado AC, Bouillet J-PD, Gonçalves JL.M, Brandani CB, Viani RA.G, Paula RR, Laclau J-P, Peña-Venegas CP, Peres C, Decaëns T, Pey B, Eisenhauer N, Cooper M, Mathieu J (2023) Soil macrofauna communities in Brazilian land use systems. ARPHA Preprints. https://doi.org/10.3897/arphapreprints.e115049 |  |
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 synthesize 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 82,797 georeferenced occurrences of these taxa are presented, based on quantitative estimates performed using a standardize sampling method commonly adopted worldwide to collect soil macrofauna populations, i.e., the TSBF (Tropical Soil Biology and Fertility Programme) protocol. This consists in digging soil monoliths of 25 x 25 cm area, with hansorting of the macroinvertebrates visible to the naked eye from the surface litter and from within the soil at depths of 10 to 40 cm). 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 neighboring states of São Paulo (21 sites) and Santa Catarina (5 sites). Important metadata on soil properties, particularly soil chemical analyses (mainly pH, C, P, Ca, K, Mg, Al contents, Exchangeable acidity, Cation Exchange Capacity, Base Saturation, and infrequently total N) and particle size distribution (mainly % sand, silt and clay, and infrequently soil moisture, bulk density), as well as on human management practices (land use and vegetation cover) are provided, in order to better estimate land use change impacts on biodiversity and ecosystem functioning.
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 82,797 ocurrences.