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Soil macrofauna communities in Brazilian land-use systems.

George Gardner BrownWilian C DemetrioQuentin GabriacAmarildo PasiniVanesca KorasakiLenita J OliveiraJulio C F Dos SantosEleno TorresPaulo R GaleraniDionisio L P GazzieroNorton P BenitoDaiane H NunesAlessandra SantosTalita FerreiraHerlon S NadolnyMarie L C BartzWagner MaschioRafaela T DudasMauricio R G ZagattoCintia C NivaLina A ClasenKlaus D SautterLuis C M FroufeCarlos Eduardo S SeoaneAníbal de MoraesSamuel W JamesOdair AlbertonOsvaldino Brandão JúniorOdilon SaraivaAntonio GarciaElma OliveiraRaul M CésarBeatriz S Corrêa-FerreiraLilianne S M BruzElodie da SilvaGilherme B X CardosoPatrick LavelleElena VelásquezMarcus Vinicius CremonesiLucília M ParronAmilton J BaggioEdinelson NevesMariangela HungriaThiago A CamposVagner L da SilvaCarlos B ReissmannAna C ConradoJean-Pierre D BouilletJosé L M GonçalvesCarolina B BrandaniRicardo A G VianiRanieri R PaulaJean-Paul LaclauClara P Peña-VenegasCarlos PeresThibaud DecaënsBenjamin PeyHéctor J AguadoMiguel CooperJérôme Mathieu
Published in: Biodiversity data journal (2024)
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.
Keyphrases
  • climate change
  • electronic health record
  • plant growth
  • high resolution
  • big data
  • machine learning
  • deep learning