Socioecological inequity in environmental data science—such as inequities deriving from data-driven approaches and machine learning(ML)—are current issues subject to debate and *** is growing consensus around embedd...
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Socioecological inequity in environmental data science—such as inequities deriving from data-driven approaches and machine learning(ML)—are current issues subject to debate and *** is growing consensus around embedding equity throughout all research and design domains—from inception to administration,while also addressing procedural,distributive,and recognitional ***,practically doing so may seem onerous or daunting to *** current perspective helps to alleviate these types of concerns by providing substantiation for the connection between environmental data science and socioecological inequity,using the Systemic Equity framework,and provides the foundation for a paradigmatic shift toward normalizing the use of equity-centered approaches in environmental data science and ML *** the integrity of environmental data science and ML is just beginning from an equity-centered tool development and rigorous application *** this end,this perspective also provides relevant future directions and challenges by overviewing some meaningful tools and strategies—such as applying the Wells-Du Bois Protocol,employing fairness metrics,and systematically addressing irreproducibility;emerging needs and proposals—such as addressing data-proxy bias and supporting convergence research;and establishes a ten-step path ***,the work that environmental scientists and engineers do ultimately affect the well-being of us all.
This is a continuity of a series of taxonomic papers where materials are examined,described and novel combinations are proposed where necessary to improve our traditional species concepts and provide updates on their ...
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This is a continuity of a series of taxonomic papers where materials are examined,described and novel combinations are proposed where necessary to improve our traditional species concepts and provide updates on their *** addition to extensive morphological descriptions and appropriate asexual and sexual connections,DNA sequence data are also analysed from concatenated datasets(rDNA,TEf-a,RBP2 and b-Tubulin)to infer phylogenetic relationships and substantiate systematic position of taxa within appropriate *** new species or combinations are being proposed,we apply an integrative approach(morphological and molecular data as well as ecological features wherever applicable).Notes on 125 fungal taxa are compiled in this paper,including eight new genera,101 new species,two new combinations,one neotype,four reference specimens,new host or distribution records for eight species and one alternative *** new genera introduced in this paper are Alloarthopyrenia,Arundellina,Camarosporioides,Neomassaria,Neomassarina,Neotruncatella,Paracapsulospora and *** new species are Alfaria spartii,Alloarthopyrenia italica,Anthostomella ravenna,***,Arthrinium paraphaeospermum,Arundellina typhae,Aspergillus koreanus,Asterina cynometrae,Bertiella ellipsoidea,Blastophorum aquaticum,Cainia globosa,Camarosporioides phragmitis,Ceramothyrium menglunense,Chaetosphaeronema achilleae,Chlamydotubeufia helicospora,Ciliochorella phanericola,Clavulinopsis aurantiaca,Colletotrichum insertae,Comoclathris italica,Coronophora myricoides,Cortinarius fulvescentoideus,***,***,***,Cunninghamella gigacellularis,Cyathus pyristriatus,Cytospora cotini,Dematiopleospora alliariae,***,Diaporthe aseana,***,Distoseptispora multiseptata,***,***,Dothiora buxi,Emericellopsis persica,Gloniopsis calami,Helicoma guttulatum,Helvella floriforma,***,Hermatomyces subiculosa,Ju
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