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Allan Tainá Souza

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A digital twin for real-time biodiversity forecasting with citizen science data - Nature Ecology & Evolution

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By Otso Ovaskainen, Gleb Tikhonov, Patrik Lauha, Ossi Nokelainen, Nerea Abrego, Mikko Heikkinen, Aleksi Lehikoinen, Tomas Roslin, Panu Somervuo, Jari Hänninen, Kim Kuntze, John Loehr, Marko Mutanen, Riku Paavola, Risto Renkonen, Pauliina Schiestl-Aalto, Maija Sujala, Janne Sundell, Emma Vatka, Phillip C. Watts, Ari Lehtiö, Jesse Patrick Harrison, Allan Tainá Souza, Jussi Talaskivi, Alpo Turunen, Jasmin Inkinen, Mikko Oranen, Joni Uusitalo, Mikko Vallinmäki
| Nature Verified
Abstract Citizen science provides large amounts of biodiversity data. Key challenges in unlocking its full potential include engaging citizens with limited species identification skills and accelerating the transition from data collection to research and monitoring outputs. Here we use a large dataset from Finland to show how even citizens who cannot identify birds themselves can contribute to real-time predictions of avian distributions.
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