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A list of land plants of Parque Nacional do Caparaó, Brazil, highlights the presence of sampling gaps within this protected area.

Marina M MoreiraRafaela Campostrini ForzzaAnderson G Alves-AraújoAlessandro RapiniAlexandre SalinoAline D FirminoAline P ChagasAna F A VersianeAndré M A AmorimAndrews V S da SilvaAmélia C TulerAriane L PeixotoBethina S SoaresBraz A P CosenzaCamila N DelgadoClaudia R LopesChristian SilvaDaniel E F BarbosaDaniele MonteiroDanilo MarquesDayvid R CoutoDiego R GonzagaEduardo C DalcinElton John de LírioFabrício S MeyerFátima R G SalimenaFelipe Alves OliveiraFilipe S SouzaFernando B MatosGabriel DepianttiGuilherme M AntarGustavo HeidenHenrique M DiasHian C F SousaIsabel T F V LopesIsis M RollimJaquelini LuberJefferson PradoJimi N NakajimaJoão Monnerat LannaJoão Paulo F ZorzanelliJoelcio FreitasJosé F A BaumgratzJovani B S PereiraJuliana R P M OliveiraKelly AntunesLana S SylvestreLeandro Cardoso PederneirasLeandro FreitasLeandro Lacerda GiacominLeonardo D MeirelesLeonardo N SilvaLuciana C PereiraLuís Alexandre Estevão da SilvaLuiz Menini NetoMarcelo MongeMarcelo L O TrovóMarcelo ReginatoMarcos E G SobralMario GomesMário L GarbinMarli P MorimNayara D SoaresPaulo H E LabiakPedro L VianaPedro H CardosoPedro L R MoraesPedro B SchwartsburdQuélita S MoraesRaquel F ZorzanelliRenara Nichio-AmaralRenato GoldenbergSamyra G FurtadoThamara FelettiValquíria F DutraVinícius R BuenoVinícius A O Dittrich
Published in: Biodiversity data journal (2020)
"Parque Nacional do Caparaó" houses 8% of the land plant species endemic to the Brazilian Atlantic Forest, including 6% of its angiosperms, 31% of its lycophytes and ferns and 14% of its avascular plants. Twelve percent of the threatened species listed for the State of Espírito Santo and 7% listed for the State of Minas Gerais are also protected by PNC. Surprisingly, 79% of the collections analysed here were carried out in Minas Gerais, which represents just 21% of the total extension of the Park. The compiled data uncover a huge botanical collection gap in this federally-protected area.
Keyphrases
  • climate change
  • big data
  • water quality
  • machine learning
  • artificial intelligence